Appendix 1: Characteristics of the studies included in the final 61 retrieved papers Study, year Participants and genetic (country) condition Baider et al. 1999 230 healthy women with at (Israel) Study type Aim of study Validated Outcome measure measure To assess the Brief Symptom Inventory least one first-degree relative psychological distress of (BSI) diagnosed with breast cancer a sample of women who Impact of Events Scale (IES) who attended a conference attended a conference organised by the Israel Cancer organised by the Israel Association. Cancer Association. Benkendorf et al. 238 healthy (no personal 1997 (USA) Non-validated outcome Survey Survey To describe levels of Knowledge about genetic Attitudes about ethical issues history of cancer) first-degree agreement versus testing for inherited cancer in genetic testing relatives of women (18 to 75 disagreement with Life Orientation Test (LOT) years) with breast or ovarian statements reflecting the Monitoring Blunting Style cancer ethical issues of Scale (MBSS) see also Miller autonomy and Behavioural Style Scale confidentiality. To identify the characteristics of these women that correlated 1 with particular attitudes. Berkenstadt et al. 165 individuals who completed 1999 (Israel) Before and after To develop a reliable Perceived Personal Control counseling at Institute of measure of perceived (PPC) Human Genetics at Sheba personal control over a Medical Centre excluded genetic problem and marital counseling for investigate its validity for consanguineous couples the assessment of genetic counseling outcomes Biesecker et al. 172 adults (18 years and over) Prospective follow- To identify socio- Center for Epidemiologic 2000 (USA) in families previously enrolled up demographic, Studies Depression-Scale in a familial cancer study with a psychological and family (CES-D) risk-conferring mutation in variables that Family Environment Scale BRCA1/2. characterise members (FES) of hereditary breast and Life Orientation Test (LOT) ovarian cancer families Rosenberg Self-Esteem who are more likely to Scale choose to undergo Spiritual Well-Being Scale 2 predictive testing (SWBS) following pre-test education and counselling. Bowen et al. 357 women (18 to 74 years) 2002 (USA) Randomised trial To test the effects of two Beliefs About Breast Cancer Interest in genetic testing for with some familial history of breast cancer risk Genetic Testing breast cancer risk breast cancer (any relative) but counselling methods Modified Tolerance for no family history indicative of (genetic counselling and Ambiguity Scale (TFA) autosomal dominant genetic group counselling) on mutation. interest in pursuing genetic testing in women with a family history of breast cancer Brain et al, 1999 833 women (17 to 77 years) at (UK) Randomised trial To clarify the Breast Cancer Worry Scale risk of breast cancer with a first relationship between Perceived Risk of Breast degree relative diagnosed with anxiety and adherence Cancer breast cancer under 50 years, to breast self- State-Trait Anxiety Inventory a first-degree relative with examination by (STAI) bilateral cancer at any age and comparing the impact of Breast Self-Examination 3 second-degree relative with general anxiety with that breast cancer. of cancer-specific anxiety of breast selfexamination frequency. Brain et al, 2000 735 women (17 to 77 years) at (UK) Randomised trial To determine the Breast Cancer Worry Scale Knowledge of Familial Breast risk of breast cancer with a first psychological benefits Patient Satisfaction with Cancer degree relative diagnosed with and costs of receiving Genetic Counselling breast cancer under 50 years, genetic assessment. Perceived Risk of Breast a first-degree relative with Cancer bilateral cancer at any age and State-Trait Anxiety Inventory second-degree relative with (STAI) breast cancer. Brain et al, 2005 27 individuals (14 women and (UK) Randomised trial To explore the process Decision making process 12 men) from families in which of extended vs General Health a HNPCC gene mutation had shortened genetic Questionnaire (GHQ) been identified. counselling protocols Knowledge about genetic and compare their testing for inherited cancer impact on psychological (HNPCC) and decision-making Satisfaction with Decision 4 outcomes in individuals Scale (to have testing) eligible for HNPCC predictive testing. To describe two Measure of Counselees’ nurses, 16 licensed practical instruments designed to Knowledge of Down nurses, 46 special education measure, in an objective Syndrome teachers, 16 graduate manner, the genetic students, 8 parents of children information counselees with Down syndrome) have before and after Braitman & 126 individuals (40 student Antley. 1978 (USA) Survey counselling To evaluate women’s Hospital Anxiety and Knowledge of invasive undergoing amniocentesis or reasons for having an Depression Scale (HADs) procedures Level of anxiety chorionic villus sampling at 10 invasive procedure, their Impact of Event Scale (IES) Satisfaction with information to 13 weeks gestation knowledge, how Cederholm et al. 94 pregnant women 1999 (Sweden) Randomised trial provided information was obtained, their satisfaction with this information, their concerns about 5 complications and psychological reactions and distress evoked by the procedure. 5. Cella et al. 2002 (USA) 158 women one-month after Survey To develop a brief, Hopkins Symptom Checklist receiving genetic test results practical, targeted (HSCL-25) for BRCA1/2 assessment of concerns Impact of Event Scale (IES) and psychosocial issues Multidimensional Impact of associated with genetic Cancer Risk Assessment testing for cancer risk (MICRA) and compared it with existing alternatives. Collins et al. 114 individuals who received 2005 (Australia) predictive genetic testing for and preventive surgery Beliefs about HNPCC at one of five familial behaviours during 12 screening cancer clinics. months after predictive Risk perception genetic testing for Screening behaviours Before and after To assess screening Impact of Event Scale (IES) Beliefs about prophylactic HNPCC in an Australian clinical cohort. 6 Decruyenaere et 72 adults (18 years and over) Prospective follow- To identify the socio- Beck Depression Inventory al. 1995 who applied for a predictive up demographic description (BDI) (Belgium) test for Huntington’s Disease of predictive test for Minnesota Multiphasic Huntington’s Disease Personality Inventory (MMPI) applicants, their plus supplementary ego subjective evaluation of strength scale the risk and their Spielberger State Trait motives for requesting Anxiety Inventory (STAI) the predictive test Utrechtse Coping List (UCL) Decruyenaere et 69 individuals with a parent Prospective follow- To gain more insight Beck Depression Inventory al. 1999 affected with Huntington’s up into pre-test (BDI) (Belgium) Disease and received a psychological Minnesota Multiphasic predictive test result functioning of people Personality Inventory (MMPI) who applied for plus supplementary ego predictive testing for strength scale Huntington’s Disease Spielberger State Trait Anxiety Inventory (STAI) De Marco et al. 61 women undergoing counselling and testing for Survey To conduct a Genetic Counseling psychometric analysis of Satisfaction Scale (GCSS) 7 2004 (USA) hereditary breast-ovarian a new satisfaction cancer (BRCA1/2) measure, the Genetic Counseling Satisfaction Scale, with a sample of women participating in a no-cost cancer genetic counselling and testing program Denayer et al, 71 adults (18 years and over) 1996 (Belgium) Survey To evaluate whether the Health Orientation Scale who had their carrier status for CF carrier status has Spielberger State and Trait cystic fibrosis determined any lasting effect on Anxiety (STAI) anxiety and on self- Tennessee Self-Concept concept at least one- Scale year after the disclosure of the test-result. Donovan et al, 220 women awaiting routine 2000 (USA) medical services Survey To knowledge of breast Knowledge about breast Interest in genetic testing cancer and cancer cancer Perception of risk genetics and their Knowledge about genetic risk perceptions of genetic for breast cancer 8 testing and personal Perceptions of the Benefits, risk. Limitations and Risks of Genetic Testing Dorval et al, 2000 65 individuals from families (USA) Before and after To examine the ability of Brief Symptom Inventory Anticipated and actual with Li-Fraumeni cancer individuals undergoing (BSI) reaction to genetic test syndromes and hereditary genetic testing for Global Severity Index (GSI) results breast-ovarian cancer cancer susceptibility to of the Symptom-Checklist- susceptibility. accurately anticipate 90-Revised (SCL-90-R) emotional reactions to disclosure of their test result. Drake et al. 1999 38 individuals, 21 women of (Canada) Before and after To develop and Decisional Conflict Scale Acceptability of decision aid advanced maternal age (35 evaluate a decision aid (DCS) Choice predisposition for years or over) and 17 spouses designed to prepare Modified Maternal Serum prenatal testing patients of advanced Screening Knowledge maternal age for Questionnaire (MSSKQ) counselling about Spielberger State and Trait prenatal diagnostic Anxiety (STAI) 9 testing. Erblich et al. 77 individuals in total: 30 2005 (USA) Survey To describe the Breast Cancer Genetic women including women who development and Counselling Knowledge had undergone breast cancer validation of a Questionnaire (BCGKQ-27) genetic counselling and 47 questionnaire to Knowledge Scale about hospital employees (26 nurses measure the knowledge Breast Cancer and and 19 administrative staff) of women who undergo Hereditary breast cancer genetic counselling. Fanos et al, 2001 40 adults (37 female and 3 (USA) Survey To assess Hopkins Symptoms Checklist Attitudes to genetic testing brothers) with X-linked severe understanding of the (HSCL) Knowledge of condition combined immunodeficiency. genetics of x-linked Perception of carrier status severe combined immunodeficiency in adults from families who had enrolled in our protocols and attended a family workshop. 10 Freyer et al. 1999 77 patients treated for either (France) Survey To perform Hospital Anxiety and sporadic or familial or were at psychometric and Depression Scale (HADS) risk for medullary thyroid quality of life Subjective Quality of Life carcinoma measurements in a Profile (SQLP) population of individuals belonging to medullarythyroid carcinoma families Fries et al, 2004 57 high-risk patients for Prospective follow- To assess the outcome Brief Symptom Inventory (USA) inherited breast or ovarian up of accelerated patient (BSI) surveillance in patients Profile of Mood States at high risk for inherited (POMS) cancer. breast or ovarian cancer. Furr & Kelly 1999 330 European American adults (USA) Geller et al. 1993 To develop a uni- Genetic Knowledge Index (over 18 years) randomly dimensional index of (GKI) selected from a US population genetic knowledge 1140 physicians (obstetricians, paediatricians, internists, family Survey Survey To develop a modified modified Tolerance for tolerance for ambiguity Ambiguity Scale (TFA) 11 (USA) practitioners and psychiatrists) scale to elicit physicians’ in USA knowledge and attitudes about genetic testing and determine its psychometric properties. To determine the relationship of the TFA scale with physicians’ demographic characteristics, their training and several behavioural variables including religiosity Grosfeld et al. 47 parents (22 parental Prospective follow- To explore the General (Global) Severity 2000 (The couples and 3 single parents) up psychological reactions Index (GSI) of the Symptom Netherlands) of children (newborn to 14 displayed by parents of Check List-90 (SCL90) years of age) who had a their children’s DNA test Impact of Event Scale (IES) genetic test for the cancer results. Spielberger State Trait disorder multiple endocrine Anxiety Inventory (STAI) 12 neoplasia type 2. Gwyn et al, 2003 518 women (50 years of age (USA) and over) who had undergone women due for routine for breast cancer a screening mammogram 12 to mammography would Interest in genetic testing 14 months before the study but want testing for breast no prior history of breast cancer susceptibility and cancer, abnormal mammogram what factors might or signs of breast cancer. impact on their decision Survey To examine whether Breast Cancer Worry Awareness of genetic testing to pursue testing. Hailey et al, 2000 51 women with (26) or without (USA) Survey To learn about the Anticipated impact of results (25) a first-degree relative with impact of having a first- Assessment of benefits and breast cancer. degree relative for risk of breast cancer testing women not involved with Beck Depression Inventory a formal breast cancer (BDI) prevention program. (Breast) Cancer Attitude Perception of risk Inventory (CAI) and Anxiety sub-scale (BCANX) Impact of Event Scales (IES) Harris et al, 75 patients (16 to 38 years) Survey To assess the Spielberger Stait-Trait Feelings about the 13 1996 (UK) receiving routine antenatal acceptability of Anxiety Inventory (STAI) pregnancy and the baby care in a two-partner training integrating cystic fibrosis Knowledge of cystic fibrosis practice offered carrier testing carrier testing into and factors influencing for cystic fibrosis using a antenatal care by decision to have test computer protocol. general practitioners at the first booking appointment. To explore women’s Breast Cancer Worry participating general practices expectations of cancer General Health to the regional genetics genetic services and the Questionnaire (GHQ) department for breast cancer results of a trial Medical Interview genetic risk counselling. No assessing women’s Satisfaction Scale (MISS) symptoms or diagnosis of satisfaction with a new breast or ovarian cancer model of service Holloway et al, 374 women referred from 2004 (UK) Survey delivery. Hurt et al. 2001 17 first-degree relatives (18 (USA) Survey To measure Center for Epidemiological Family history form years and over) of women psychological distress Studies Depression Scale Personal history form diagnosed with breast cancer and the feasibility of a (CES-D) psychological Impact of Events Scale (IES) 14 intervention to reduce Miller Behavioral Style Scale distress in patients (MBBS) see also Monitoring undergoing risk Blunting Behavioural Style assessment. Scale Profile of Mood States (POMS) brief form Katapodi et al. 42 studies (64,276 Systematic review To synthesise research 2004 (USA) participants) and meta-analysis findings of studies on Instruments for perceived risk (validated and non-validated) perceived breast cancer risk. The study examined demographic, psychological, and physiological variables as predictors of perceived breast cancer risk and the relationship between perceived breast cancer risk and breast cancer prevention and early 15 detection. Keller et al, 2002 65 individuals with colorectal (Germany) Survey To explore distress and Breast Cancer Worry Ability to cope cancer (35) and unaffected but health beliefs before (modified for colorectal) Attitudes to genetic testing at-risk (30) who participated in and after Giessener Complaints Evaluation of counselling interdisciplinary counselling comprehensive Inventory (GBB) Health beliefs provided by human geneticists, interdisciplinary Hospital Anxiety and Perception of control surgeons and psycho- counselling in families at Depression Scale (HADS) Threat of HNPCC oncologists before genetic risk for HNPCC. Impact of Events Scale (IES) Vulnerability testing. Medical Outcomes Survey Short-Form-12 Kent et al. 2000 69 asymptomatic women (UK) Survey To assess changes in Hospital Anxiety and Perceived risk Thought referred to a breast cancer perceived risk, cognitive Depression Scale (HADS) content and intrusiveness of family history clinic. intrusions and distress Psychological Consequences the thoughts in women undergoing Questionnaire (PCQ) counselling for familial risk of developing breast cancer. Kromberg et al, 89 individuals (30 at-risk for Intervention To investigate the Beck Depression Inventory 16 1999 (South predictive testing; 7 for utilisation and sequelae (BDI) Africa) prenatal testing and 52 for of the predictive, Life Coping Skills diagnostic testing) prenatal and diagnostic services offered to families with suspected Huntington’s disease. Lodder et al, 28 men requesting 2001 (The Netherlands) Survey To analyse distress in Hospital Anxiety and BRCA1/BRCA2 testing and males at risk of carrying Depression Scale (HADS) their partners. a BRCA1/BRCA2 Impact of Event Scale (IES) mutation. Life Orientation Test (LOT) Symptom Checklist-90 (SCL90) Ludman et al. 91 women awaiting medical 1999 (USA) Survey To assess female Knowledge about genetic Beliefs about access to appointments at a primary care primary care patients’ testing for inherited cancer BRCA1 testing Intention to clinic. knowledge about breast (Inherited Breast Cancer and be tested cancer genetics and BRCA1 Testing) attitudes toward genetic testing. Matthews et al. 102 patients attending a clinic Survey To assess general Breast Cancer Worry Cancer Risk Assessment 17 2002 (USA) (visits with both genetic and psychological distress Center for Epidemiological Program Evaluation psychological counsellors) at a among high-risk patients Studies Depression Scale Global Emotional Functioning cancer risk program undergoing brief form (CES-D) Health status predisposition Impact of Events Scale (IES) counselling and/or testing for inherited cancers in a cancer risk clinic. To identify the outcome of the pilot program. To identify factors associated with increased acceptance of psychological services. Meiser et al, 333 women waiting initial 2000 (Australia) Survey To assess intention to General Health Accuracy of breast cancer appointments for risk undergo prophylactic Questionnaire (GHQ) risk perception assessment, advice about bilateral mastectomy Impact of Event Scale (IES) Intention to undergo surveillance, and prophylactic and psychologic options at one of 14 familial determinants in cancer clinicians unaffected women at prophylactic mastectomy increased risk of 18 developing hereditary breast cancer. Meiser & 12 studies. Total number of Systematic review To synthesise the General Health Accuracy of perceived risk of Halliday. 2002 participants not known. and meta-analysis published empirical Questionnaire-12 (GHQ12) developing cancer literature of prospective General Health and randomised Questionnaire-30 (GHQ30) controlled trials that Profile of Mood State include at least one of (POMS) the following outcomes Spielberger State Trait as variables: Anxiety Index-State (STAI- Psychological distress State) (Australia) (Generalised anxiety; Depression; Breast cancer Anxiety); Accuracy of perceived risk of developing cancer; Breast cancer genetics knowledge; Breast cancer screening 19 uptake Michie et al. 35 patients attending a Prospective follow- To determine the validity Spielberger State Trait Counsellor-defined important 1997a (UK) regional genetics centre up of using genetic Anxiety Inventory-State information excluding those attending for a counsellors reports of (STAI-State) Patient-defined important pre-determined package of information given in information counselling, those who had genetic consultations as Patients hopes and concerns previously visited the centre, the basis for a measure Patient recall of information non-English speakers and of patient recall. patients without a telephone Michie et al. 32 patients referred to a 1997b (UK) regional genetics centre Survey To categorise the key Spielberger State Trait Knowledge questionnaire points given in genetic Anxiety Inventory-State Meeting of expectations counselling, assess the (STAI-State) Satisfaction with information amount and type of information recalled, and examine the relationship between counsellees‘ knowledge, satisfaction with information received, 20 the meeting of expectations, concern and anxiety. To measure how much and what types of information given during a genetic counselling session are recalled and whether this is influenced by receiving a summary letter. Miller et al, 2005 279 women (18 years and (Greece) Intervention To evaluate whether an Knowledge Scale about Intention to obtain genetic over) who telephoned a region educational intervention Breast (and Ovarian) Cancer testing Perceived risk cancer information service would (a) for average and Hereditary Satisfaction with service expressing concerns about risk women increase Monitoring-Blunting Style their risks for breast or ovarian knowledge and Scale (MBSS) cancer decrease risk perceptions and intentions to obtain genetic testing (b) for 21 high risk women increase their intention to obtain genetic testing, greater risk-related knowledge and greater risk perceptions. Peters et al, 2000 31 parents caring for children Survey with Proteus syndrome To describe the Beck Depression Inventory Parental confidence in the depression status in (BDI) diagnosis of Proteus parents of individuals syndrome with Proteus syndrome Pieterse et al, 200 individuals (18 years or 2005 (The Netherlands) Survey To describe the Impact of Events Scale (IES) older) referred to a department construction and Quality of Care Through the of medical genetics for psychometric properties Patients’ Eyes (QUOTE)- hereditary cancer. of the QUOTE-geneCA, a geneCA counselee-centred State-Trait Anxiety Inventory instrument intended to (STAI) measure the needs and Threatening Medical preferences in genetic Situation Inventory (TMSI) counselling for see also Monitoring-Blunting 22 Read et al, 2005 323 individuals affected by (USA) genetic diseases Survey hereditary cancer. Style Scale (MBSS) To develop and Psychological Adaptation to psychometrically Genetic Information Scale evaluate the (PAGIS) Psychological Adaptation to Genetic Information Scale (PAGIS) Ritvo et al, 2000 60 women given familial (Canada) Survey To report the Center for Epidemiological genetic evaluations for ovarian psychological responses Studies Depression Scale cancer risk at their first of women given familial (CES-D) appointment. genetic evaluations for Life Orientation Test (LOT) ovarian cancer risk Medical Outcomes Study Social Support Scale (MOSS) State-Trait Anxiety Inventory (STAI) Rose et al. 1999 122 patients (between 20 and 34 years) registered at one Survey To evaluate the Spielberger State-Trait Knowledge questionnaire feasibility and Anxiety Inventory (STAI) Patient views on reasons for 23 (UK) family practice acceptability of taking attendance, awareness and routine family histories understanding and and subsequent genetic acceptability of service to counselling patients Schwartz et al, 289 high-risk women (25 years Prospective follow- To prospectively Breast (and ovarian) Cancer 2003 (USA) of age and over) who had up examine the impact of Worry genetic counselling and testing BRCA1/2 testing on the Hopkins Symptom Checklist for alterations in the BRCA1/2 use of prophylactic (HSL) genes oopherectomy and Impact of Events Scale (IES) ovarian cancer State Anxiety Inventory screening (STAI) To evaluate the impact Functional Assessment of Patient reports of Perceived risk Schwartz et al. 194 newly diagnosed patients 2004 (USA) with breast cancer who had not on surgical decision- Cancer Therapy (FACT) recommendation for: genetic yet received definitive surgical making of pre-treatment Impact of Event Scale (IES) testing and surgery treatment and who had at least genetic counselling and Spielberger State-Trait Treatment decisions a 10% prior probability of BRCA1/2 testing among Inventory-State (STAI-State) carrying a BRAC1/2 mutation. breast cancer patients Survey at high risk for carrying 24 a mutation. Schwartz et al, 211 patients newly diagnosed 2005 (USA) Survey To evaluate factors Functional Assessment of with breast cancer who had not associated with the Cancer Therapy-General yet received definitive local decision to undergo (FACT) breast cancer treatment and BRCA1/2 gene testing Impact of Events Scale (IES) who had a family history at the time of initial State Anxiety Scale of the consistent with hereditary breast cancer diagnosis. State Trait Anxiety Inventory breast cancer. (STAI) To use clients’ accounts Audit Tool for Genetic of a genetic service in Wales and factor analysis to Services with any type of genetic develop a robust condition or concern assessment and audit Skirton et al. 97 clients (18 years and over) 2005 (UK) Survey tool related to outcomes of genetic services. Stalmeier et al. 51 healthy women who had 1999 (The Netherlands) Before and after To evaluate the shared Breast cancer (hereditary) family histories of breast decision making concern cancer referred for breast program for women Desire to participate in the cancer risk counselling and suspected to have a shared decision making genetic predisposition to program 25 screening. breast cancer in terms Emotional reaction to the of practicality, beneficial program information Intention effects and patient to act upon shared decision satisfaction. making program Risk comprehension and subjective knowledge of women in the shared decision making program Satisfaction with shared decision making program Shared decision making program rationale acceptability 32. Stalmeier et al. 368 patients at high risk for 2005 (The Netherlands) Survey To investigate which Center for Epidemiologic Attitudes to genetic testing breast and ovarian cancer, psychological factors Studies Depression-Scale and the impact of the results awaiting a genetic test result, play a role when (CES-D) on their lives and facing the choice between patients evaluate their Decision Evaluation Scales: Treatment choice; strength of prophylactic surgery or medical treatment Decision Control Scale; treatment preference and screening. choices. Satisfaction-Uncertainty strength of preference of the Scale and Informed Choice specialist; partner 26 Scale agreement; subjective Impact of Event Scale (IES) knowledge; amount of State Trait Anxiety (STAI) information; satisfaction with quality of information; negative emotional reaction to information; need for support/advice 33. Steinbart et al. 2001 (USA) 34. Trask et al. 2001 (USA) 11 people at risk for familial To assess the effects of Hospital Anxiety and Alzheimer disease and DNA testing for early- Depression Scale (HADS) frontotemporal dementia who onset familial Alzheimer Impact of Event Scale (IES) requested genetic testing after disease and an invite letter frontotemporal dementia 205 women referred to the Survey Before and after To develop and validate Medical Outcomes Short- breast and ovarian risk a measure designed to Form Survey (SF-36) evaluation program because determine whether Profile of Mood States they have a family history of patients attending a (POMS) breast or ovarian cancer in one newly-founded breast Worry Interference Scale or more close relatives or other and ovarian cancer risk (WIS) risk factors leading to a evaluation clinic perceived their cancer- 27 presumed increase risk profile specific thoughts as interfering with their functioning in a number of areas. To explore long-term Breast Cancer Worry – five interviewed) unaffected women psychosocial items only with a 25 to 50% risk of consequences of Body Image/Sexuality Scale carrying a BRCA1/2 mutation carrying a BRCA1/2 (BISS) applying for genetic mutation and to identify Hospital Anxiety and predisposition testing in a possible risk factors for Depression Scales (HADS) Family Cancer Clinic long-term psychological Impact of Events Scale (IES) distress Openness to Discuss Cancer van Oostrum et 65 (of these 51 also al. 2003 (The Netherlands) Survey Risk and test perceptions in the Family Scale - adapted Vadaparampil et al. 2005 (USA) 19 studies and 2517 participants Systematic review To review the Breast Cancer Worry Scale instruments most Brief Symptom Inventory commonly used to (BSI) measure depression, Centers for Epidemiologic anxiety and distress and Studies and Depression summarise the reported Scale (CES-D) 28 psychometric properties General Health to assess the Questionnaire (GHQ) psychological factors Hospital Anxiety and measured among Depression Scales (HADS) individuals at increased Hopkins Symptoms risk for hereditary Checklist-25 (HSCL-25) breast, ovarian or colon Impact of Event Scale (IES) cancer. Profile of Mood State – short form State-Trait Anxiety Inventory (STAI) Wagner et al. 2000 (USA) 90 people from families in Survey To evaluate the effect Self-rating Depression Scale Attitude of mutation carriers which BRCA1 or BRCA2 was that an awareness of (SDS) towards the option of detected previously. being a BRCA1 or prophylactic mastectomy and BRCA2 mutation carrier or oopherectomy has on the attitude towards prophylactic surgery and on developing depression symptoms. 29 Watson et al. 2005 (UK) 293 women attending four Survey genetic clinics To investigate the Cancer Anxiety and Expectations of service impact of genetic Helplessness Scale Perception of risk counselling on (Breast) Cancer Worry Scale management of breast General Health cancer risk in women Questionnaire-12 item (GHQ- attending Cancer Family 12) Clinics. Impact of Event Scale (IES) Perceived barriers to mammography Health Beliefs Model (screening and breast cancer) Spielberger State-Trait Anxiety Inventory (STAI) Wolraich et al. 121 participants: 101 patients 1986 (USA) Case-control To determine the Medical Communication Patient knowledge of genetic (parents of children with properties of an Behaviour System (MCBS) condition survey disorders, children with observation system that Medical Interview disorders, relatives concerned was designed to be Satisfaction Scale- modified about having children similarly used in assessing (MISS) affected, persons belonging to situations involving Roter Interactional Analysis 30 at risk ethnic groups, women of multiple health-care System (process not advanced parental age) providers and family outcome measure) evaluated by a genetic units, in which the care counseling service and 20 providers are dealing unobserved ‘control’ patients. with potentially stressful information. References Baider L, Ever-Hadani P, Kaplan De-Nour A. Psychological distress in healthy women with familial breast cancer: like mother, like daughter? International Journal of Psychiatry in Medicine 1999;29:411-20. Benkendorf JL, Reutenauer JE, Hughes CA, Eads N, Willison J, Powers M, et al. Patients' attitudes about autonomy and confidentiality in genetic testing for breastovarian cancer susceptibility. American Journal Medicine and Genetics 1997;73:296-303. Berkenstadt M, Shiloh S, Barkai G, Katznelson MB, Goldman B. Perceived personal control (PPC): a new concept in measuring outcome of genetic counselling. American Journal of Medical Genetics 1999;82:53-9. Biesecker BB, Ishibe N, Hadley DW, Giambarresi TR, Kase RG, Lerman C, et al. Psychosocial factors predicting BRCA1/BRCA2 testing decisions in members of hereditary breast and ovarian cancer families. American Journal of Medical Genetics 2000;93:257-63. Bowen DJ, Burke W, Yasui Y, McTiernan A, McLeran D. Effects of risk counselling on interest in breast cancer genetic testing for lower risk women. Genetics in Medicine 2002;4:359-65. Brain K, Norman P, Gray J, Mansel R. Anxiety and adherence to breast self-examination in women with a family history of breast cancer. Psychosomatic Medicine 1999;61:181-7. 31 Brain K, Gray J, Norman P, France E, Anglim C, Barton G, et al. Randomized trial of a specialist genetic assessment service for familial breast cancer. Journal of the National Cancer Institute 2000;92:1345-51. Brain K, Sivell S, Bennert K, Howell L, France L, Jordan S, et al. An exploratory comparison of genetic counselling protocols for HNPCC predictive testing. Clinical Genetics 2005;68:255-61. Braitman A, Antle RM. Development of instruments to measure counselees' knowledge of Down syndrome. Clinical Genetics 1978;13:25-36. Cederholm M., Axelsson O, Sjoden PO. Women's knowledge, concerns and psychological reactions before undergoing an invasive procedure for prenatal karyotyping. Ultrasound in Obstetrics & Gynecology 1999;14:267-72. Cella D, Hughes C, Peterman A, Chang CH, Wenze lL, Lemke A, et al. A Brief Assessment of Concerns Associated With Genetic Testing for Cancer: The Multidimensional Impact of Cancer Risk Assessment. (MICRA) Questionnaire. Health Psychology 2002;21:564-72. Collins V, Meiser B, Gaff C, St John DJ, Halliday J.Screening and preventive behaviors one year after predictive genetic testing for hereditary nonpolyposis colorectal carcinoma. Cancer 2005;104:273-81. Decruyenaere M, Evers-Kiebooms G, Boogaerts A, Cassiman JJ, Cloostermans T, Demyttenaere K, et al. Predictive testing for Huntington's disease: risk perception, reasons for testing and psychological profile of test applicants. Genetic Counselling 1995;6:1-13. Decruyenaere M, Evers-Kiebooms G, Boogaerts A, Cassiman JJ, Cloostermans T, Demyttenaere K, et al. Psychological functioning before predictive testing for Huntington's disease: the role of the parental disease, risk perception, and subjective proximity of the disease. Journal of Medical Genetics 1999;36:897-905. De Marco TA, Peshkin BN, Mars BD, Tercyak KP. Patient Satisfaction With Cancer Genetic Counseling: A Psychometric Analysis of the Genetic Counseling Satisfaction Scale. Journal of Genetic Counseling 2004;13:293-304. Denayer L, Welkenhuysen M, Evers-Kiebooms G, Cassiman JJ, Van den BH. The CF carrier status is not associated with a diminished self-concept or increased anxiety: results of psychometric testing after at least 1 year. Clinical Genetics 1996;49:232-6. Donovan KA, Tucker DC. Knowledge about genetic risk for breast cancer and perceptions of genetic testing in a socio-demographically diverse sample. Journal of Behavioural Medicine 2000;23:15-36. 32 Dorval M, Patenaude AF, Schneider KA, Kieffer SA, DiGianni L, Kalkbrenner KJ, et al. Anticipated versus actual emotional reactions to disclosure of results of genetic tests for cancer susceptibility: findings from p53 and BRCA1 testing programs. Journal of Clinical Oncology 2000;18(10): 2135-42. Drake ER, Engler-Todd L, O'Connor AM, Surh LC, Hunter A. Development and evaluation of a decision aid about prenatal testing for women of advanced maternal age. Journal of Genetic Counselling 1999;8:217-33. Erblich J, Brown K, Kim Y, Valdimarsdottir HB, Livingston BE, Bovbjerg DH. Development and validation of a Breast Cancer Genetic Counseling Knowledge Questionnaire. Patient Education and Counselling 2005;56:182-91. Fanos JH, Davis J, Puck JM. Sib understanding of genetics and attitudes toward carrier testing for X-linked severe combined immunodeficiency. American Journal of Medical Genetics 2001;98:46-56. Freyer G, Dazord A, Schlumberger M, Conte-Devolx B, Ligneau B, Trillet-Lenoir V et al. Psychosocial impact of genetic testing in familial medullary-thyroid carcinoma: a multicentric pilot-evaluation. Annals of Oncology 1999;10:87-95. Fries MH, Hailey BJ, Flanagan J, Licklider D. Outcome of five years of accelerated surveillance in patients at high risk for inherited breast/ovarian cancer: report of a phase II trial. Military Medicine 2004;169:411-6. Furr LA, Kelly SE. The genetic knowledge index: Developing a standard measure of genetic knowledge. Genetic Testing 1999;3:193-9. Geller G, Tambor ES, Chase GA, Holtzman NA. Measuring physicians' tolerance for ambiguity and its relationship to their reported practices regarding genetic testing. Medical Care 1993;31:989-1001. Grosfeld FJ, Beemer FA, Lips CJ, Hendriks KS, Ten Kroode HF. Parents' responses to disclosure of genetic test results of their children. American Journal of Medical Genetics 2000;94:316-23. Gwyn K, Vernon SW, Conoley PM. Intention to pursue genetic testing for breast cancer among women due for screening mammography. Cancer Epidemiology, Biomarkers & Prevention 2003;12:96-102. Hailey BJ, Carter CL, Burnett DR. Breast cancer attitudes, knowledge, and screening behaviour in women with and without a family history of breast cancer. Health Care Women International 2000;21:701-15. 33 Harris H, Scotcher D, Hartley N, Wallace A, Craufurd D, Harris R. Pilot study of the acceptability of cystic fibrosis carrier testing during routine antenatal consultations in general practice. British Journal of General Practice 1996;46:225-7. Holloway S, Porteous M, Cetnarskyj R, Anderson E, Rush R, Fry A, et al. Patient satisfaction with two different models of cancer genetic services in south-east Scotland. British Journal of Cancer 2004;90:582-9. Hurt GJ, McQuellon RP, Michielutte R, Conrad DM, Carter S, Anderson H. Risk assessment of first-degree relatives of women with breast cancer: a feasibility study. Oncology nursing forum 2001;28:1097-104. Katapodi MC, Lee KA, Facione NC, Dodd MJ. Predictors of perceived breast cancer risk and the relation between perceived risk and breast cancer screening: a meta-analytic review. Preventative Medicine 2004;3:388-402. Keller M, Jost R, Haunstetter CM, Kienle P, Knaebel HP, Gebert J, et al. Comprehensive genetic counselling for families at risk for HNPCC: impact on distress and perceptions. Genetic Testing 2002;6:291-302. Kent G, Howie H, Fletcher M, Newbury-Ecob R, Hosie K. The relationship between perceived risk, thought intrusiveness and emotional well-being in women receiving counselling for breast cancer risk in a family history clinic. British Journal of health Psychology 2000;5:15-26. Kromberg JG, Krause A, Spurdle AB, Temlett JA, Lucas M, Rodseth D, et al. Utilisation of predictive, prenatal and diagnostic testing for Huntington's disease in Johannesburg. South African Medical Journal - Suid-Afrikaanse Tydskrif Vir Geneeskund 1999;89:774-8. Lodder L, Frets PG, Trijsburg RW, Tibben A, Meijers-Heijboer EJ, Duivenvoorden HJ, et al. Men at risk of being a mutation carrier for hereditary breast/ovarian cancer: an exploration of attitudes and psychological functioning during genetic testing. European Journal of Human Genetics 2002;9:492-500. Ludman EJ, Curry SJ, Hoffman E, Taplin S. Women's knowledge and attitudes about genetic testing for breast cancer susceptibility. Effective Clinical Practice 1999;2(4):158-62. Matthews AK, Brandenburg DL, Cummings S, Olopade OI. Incorporating a psychological counsellor in a cancer risk assessment program: Necessity, acceptability, and potential roles. Journal of Genetic Counselling 2002;11:51-64. 34 Meiser B, Butow P, Friedlander M, Schnieden V, Gattas M, Kirk J, et al. Intention to undergo prophylactic bilateral mastectomy in women at increased risk of developing hereditary breast cancer. Journal of Clinical Oncology 2000;18:2250-7. Meiser B, Halliday JL. What is the impact of genetic counselling in women at increased risk of developing hereditary breast cancer? A meta-analytic review. Social Science & Medicine 2002;54:1463-70. Michie S, French S, Allanson A, Bobrow M, Marteau TM. Information recall in genetic counselling: a pilot study of its assessment. Patient Education & Counselling 1997a;32:93-100. Michie S, McDonald V, Marteau TM. Genetic counselling: information given, recall and satisfaction. Patient Education & Counselling 1997b;32:101-6. Miller SM, Fleisher L, Roussi P, Buzaglo JS, Schnoll R, Slater E, et al. Facilitating informed decision making about breast cancer risk and genetic counselling among women calling the NCI's Cancer Information Service. Journal of Health Communication 2005;10:119-36. Peters KF, Biesecker LG. An opportunity for genetic counselling intervention: Depression in parents of individuals with Proteus syndrome. Journal of Genetic Counselling 2000;9:161-71. Pieterse A, van Dulmen S, Ausems M, Schoemaker A, Beemer F, Bensing J. QUOTE-gene(ca): development of a counselee-centred instrument to measure needs and preferences in genetic counselling for hereditary cancer. Psychooncology 2005;14:361-75. Read CY, Perry DJ, Duffy ME. Design and psychometric evaluation of the Psychological Adaptation to Genetic Information Scale. Journal of Nursing Scholarship 2005;37:203-8. Ritvo P, Robinson G, Irvine J, Brown L, Matthew A, Murphy KJ, et al. Psychological adjustment to familial genetic risk assessment: differences in two longitudinal samples. Patient Education & Counselling 2000;40:163-72. Rose P, Humm E, Hey K, Jones L, Huson SM. Family history taking and genetic counselling in primary care. Family Practice 1999;16:78-83. Schwartz MD, Kaufman E, Peshkin BN, Isaacs C, Hughes C, DeMarco T, et al. Bilateral prophylactic oophorectomy and ovarian cancer screening following BRCA1/BRCA2 mutation testing. Journal of Clinical Oncology 2003;21:4034-41. 35 Schwartz MD, Lerman C, Brogan B, Peshkin BN, Halbert CH, DeMarco T, et al. Impact of BRCA1/BRCA2 counselling and testing on newly diagnosed breast cancer patients. Journal of Clinical Oncology 2004;22:1823-9. Schwartz MD, Lerman C, Brogan B, Peshkin BN, Isaacs C, DeMarco T et al. Utilization of BRCA1/BRCA2 mutation testing in newly diagnosed breast cancer patients. Cancer Epidemiology Biomarkers & Prevention 2005;14:1003-7. Skirton H, Parsons E, Ewings P. Development of an audit tool for genetic services. American Journal of Medical Genetics 2005;136A:122-7. Stalmeier PF, Unic IJ, Verhoef LC, van Daal WA. Evaluation of a shared decision making program for women suspected to have a genetic predisposition to breast cancer: preliminary results. Medical Decision Making 1999;19:230-41. Stalmeier PF, Roosmalen MS, Verhoef LC, Hoekstra-Weebers JE, Oosterwijk JC, Moog U, et al. The decision evaluation scales. Patient Education & Counselling 2005;57:286-93. Steinbart EJ, Smith CO, Poorkaj P, Bird TD. Impact of DNA testing for early-onset familial Alzheimer disease and frontotemporal dementia. Archives of Neurology 2001;58:1828-31. Trask P, Paterson AG, Wang C, Hayasaka H, Milliron K, Blumberg L, et al. Cancer-specific worry interference in women attending a breast and ovarian cancer risk evaluation program: Impact on emotional distress and health functioning. Psychooncology 2001;10:349-60. Van OI, Meijers-Heijboer H, Lodder LN, Duivenvoorden HJ, van Gool AR, Seynaeve C, et al. Long-term psychological impact of carrying a BRCA1/2 mutation and prophylactic surgery: a 5-year follow-up study. Journal of Clinical Oncology 2003;21:3867-74. Vadaparampil ST, Ropka M, Stefanek ME. Measurement of psychological factors associated with genetic testing for hereditary breast, ovarian and colon cancers. Familial Cancer 2005;4:195-206. Wagner TM, Moslinger R, Langbauer G, Ahner R, Fleischmann E, Auterith A, et al. Attitude towards prophylactic surgery and effects of genetic counselling in families with BRCA mutations. Austrian Hereditary Breast and Ovarian Cancer Group. British Journal of Cancer 2000;82:1249-53. Watson M, Kash KM, Homewood J, Ebbs S, Murday V, Eeles R. Does genetic counselling have any impact on management of breast cancer risk? Genetic Testing 2005;9(2):167-174. 36 Wolraich ML, Albanese M, Stone G, Nesbitt D, Thomson E, Shymansky J, Bartley J, Hanson J. Medical Communication Behaviour System. An interactional analysis system for medical interactions. Medical Care 1985;24:891-903. Appendix 2: Characteristics of the studies included in the final 61 retrieved papers Study, year Participants and genetic (country) condition Baider et al. 1999 230 healthy women with at (Israel) Study type Aim of study Validated Outcome measure measure To assess the Brief Symptom Inventory least one first-degree relative psychological distress of (BSI) diagnosed with breast cancer a sample of women who Impact of Events Scale (IES) who attended a conference attended a conference organised by the Israel Cancer organised by the Israel Association. Cancer Association. Benkendorf et al. 238 healthy (no personal 1997 (USA) Non-validated outcome Survey Survey To describe levels of Knowledge about genetic Attitudes about ethical issues history of cancer) first-degree agreement versus testing for inherited cancer in genetic testing relatives of women (18 to 75 disagreement with Life Orientation Test (LOT) years) with breast or ovarian statements reflecting the Monitoring Blunting Style cancer ethical issues of Scale (MBSS) see also Miller autonomy and Behavioural Style Scale confidentiality. To identify the characteristics of these 37 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure women that correlated with particular attitudes. Berkenstadt et al. 165 individuals who completed 1999 (Israel) Before and after To develop a reliable Perceived Personal Control counseling at Institute of measure of perceived (PPC) Human Genetics at Sheba personal control over a Medical Centre excluded genetic problem and marital counseling for investigate its validity for consanguineous couples the assessment of genetic counseling outcomes Biesecker et al. 172 adults (18 years and over) Prospective follow- To identify socio- Center for Epidemiologic 2000 (USA) in families previously enrolled up demographic, Studies Depression-Scale in a familial cancer study with a psychological and family (CES-D) risk-conferring mutation in variables that Family Environment Scale BRCA1/2. characterise members (FES) of hereditary breast and Life Orientation Test (LOT) ovarian cancer families Rosenberg Self-Esteem 38 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure who are more likely to Scale choose to undergo Spiritual Well-Being Scale predictive testing (SWBS) following pre-test education and counselling. Bowen et al. 357 women (18 to 74 years) 2002 (USA) Randomised trial To test the effects of two Beliefs About Breast Cancer Interest in genetic testing for with some familial history of breast cancer risk Genetic Testing breast cancer risk breast cancer (any relative) but counselling methods Modified Tolerance for no family history indicative of (genetic counselling and Ambiguity Scale (TFA) autosomal dominant genetic group counselling) on mutation. interest in pursuing genetic testing in women with a family history of breast cancer Brain et al, 1999 833 women (17 to 77 years) at (UK) risk of breast cancer with a first Randomised trial To clarify the Breast Cancer Worry Scale relationship between Perceived Risk of Breast Breast Self-Examination 39 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure degree relative diagnosed with anxiety and adherence Cancer breast cancer under 50 years, to breast self- State-Trait Anxiety Inventory a first-degree relative with examination by (STAI) bilateral cancer at any age and comparing the impact of second-degree relative with general anxiety with that breast cancer. of cancer-specific anxiety of breast selfexamination frequency. Brain et al, 2000 735 women (17 to 77 years) at (UK) Randomised trial To determine the Breast Cancer Worry Scale Knowledge of Familial Breast risk of breast cancer with a first psychological benefits Patient Satisfaction with Cancer degree relative diagnosed with and costs of receiving Genetic Counselling breast cancer under 50 years, genetic assessment. Perceived Risk of Breast a first-degree relative with Cancer bilateral cancer at any age and State-Trait Anxiety Inventory second-degree relative with (STAI) breast cancer. Brain et al, 2005 27 individuals (14 women and Randomised trial To explore the process Decision making process 40 Study, year Participants and genetic Study type Aim of study Validated Outcome measure (country) condition (UK) 12 men) from families in which of extended vs General Health a HNPCC gene mutation had shortened genetic Questionnaire (GHQ) been identified. counselling protocols Knowledge about genetic and compare their testing for inherited cancer impact on psychological (HNPCC) and decision-making Satisfaction with Decision outcomes in individuals Scale (to have testing) Non-validated outcome measure eligible for HNPCC predictive testing. To describe two Measure of Counselees’ nurses, 16 licensed practical instruments designed to Knowledge of Down nurses, 46 special education measure, in an objective Syndrome teachers, 16 graduate manner, the genetic students, 8 parents of children information counselees with Down syndrome) have before and after Braitman & 126 individuals (40 student Antley. 1978 (USA) Survey counselling Cederholm et al. 94 pregnant women Randomised trial To evaluate women’s Hospital Anxiety and Knowledge of invasive 41 Study, year Participants and genetic Study type Aim of study Validated Outcome measure Non-validated outcome (country) condition 1999 (Sweden) undergoing amniocentesis or reasons for having an Depression Scale (HADs) procedures Level of anxiety chorionic villus sampling at 10 invasive procedure, their Impact of Event Scale (IES) Satisfaction with information to 13 weeks gestation knowledge, how measure provided information was obtained, their satisfaction with this information, their concerns about complications and psychological reactions and distress evoked by the procedure. 6. Cella et al. 2002 (USA) 158 women one-month after Survey To develop a brief, Hopkins Symptom Checklist receiving genetic test results practical, targeted (HSCL-25) for BRCA1/2 assessment of concerns Impact of Event Scale (IES) and psychosocial issues Multidimensional Impact of associated with genetic Cancer Risk Assessment testing for cancer risk (MICRA) 42 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure and compared it with existing alternatives. Collins et al. 114 individuals who received 2005 (Australia) predictive genetic testing for and preventive surgery Beliefs about HNPCC at one of five familial behaviours during 12 screening cancer clinics. months after predictive Risk perception genetic testing for Screening behaviours Before and after To assess screening Impact of Event Scale (IES) Beliefs about prophylactic HNPCC in an Australian clinical cohort. Decruyenaere et 72 adults (18 years and over) Prospective follow- To identify the socio- Beck Depression Inventory al. 1995 who applied for a predictive up demographic description (BDI) (Belgium) test for Huntington’s Disease of predictive test for Minnesota Multiphasic Huntington’s Disease Personality Inventory (MMPI) applicants, their plus supplementary ego subjective evaluation of strength scale the risk and their Spielberger State Trait motives for requesting Anxiety Inventory (STAI) 43 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure the predictive test Utrechtse Coping List (UCL) Decruyenaere et 69 individuals with a parent Prospective follow- To gain more insight Beck Depression Inventory al. 1999 affected with Huntington’s up into pre-test (BDI) (Belgium) Disease and received a psychological Minnesota Multiphasic predictive test result functioning of people Personality Inventory (MMPI) who applied for plus supplementary ego predictive testing for strength scale Huntington’s Disease Spielberger State Trait Anxiety Inventory (STAI) De Marco et al. 61 women undergoing 2004 (USA) Survey To conduct a Genetic Counseling counselling and testing for psychometric analysis of Satisfaction Scale (GCSS) hereditary breast-ovarian a new satisfaction cancer (BRCA1/2) measure, the Genetic Counseling Satisfaction Scale, with a sample of women participating in a no-cost cancer genetic 44 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure counselling and testing program Denayer et al, 71 adults (18 years and over) 1996 (Belgium) Survey To evaluate whether the Health Orientation Scale who had their carrier status for CF carrier status has Spielberger State and Trait cystic fibrosis determined any lasting effect on Anxiety (STAI) anxiety and on self- Tennessee Self-Concept concept at least one- Scale year after the disclosure of the test-result. Donovan et al, 220 women awaiting routine 2000 (USA) medical services Survey To knowledge of breast Knowledge about breast Interest in genetic testing cancer and cancer cancer Perception of risk genetics and their Knowledge about genetic risk perceptions of genetic for breast cancer testing and personal Perceptions of the Benefits, risk. Limitations and Risks of Genetic Testing 45 Study, year Participants and genetic (country) condition Dorval et al, 2000 65 individuals from families (USA) Study type Aim of study Validated Outcome measure Non-validated outcome measure Before and after To examine the ability of Brief Symptom Inventory Anticipated and actual with Li-Fraumeni cancer individuals undergoing (BSI) reaction to genetic test syndromes and hereditary genetic testing for Global Severity Index (GSI) results breast-ovarian cancer cancer susceptibility to of the Symptom-Checklist- susceptibility. accurately anticipate 90-Revised (SCL-90-R) emotional reactions to disclosure of their test result. Drake et al. 1999 38 individuals, 21 women of (Canada) Before and after To develop and Decisional Conflict Scale Acceptability of decision aid advanced maternal age (35 evaluate a decision aid (DCS) Choice predisposition for years or over) and 17 spouses designed to prepare Modified Maternal Serum prenatal testing patients of advanced Screening Knowledge maternal age for Questionnaire (MSSKQ) counselling about Spielberger State and Trait prenatal diagnostic Anxiety (STAI) testing. Erblich et al. 77 individuals in total: 30 Survey To describe the Breast Cancer Genetic 46 Study, year Participants and genetic Study type Aim of study Validated Outcome measure (country) condition 2005 (USA) women including women who development and Counselling Knowledge had undergone breast cancer validation of a Questionnaire (BCGKQ-27) genetic counselling and 47 questionnaire to Knowledge Scale about hospital employees (26 nurses measure the knowledge Breast Cancer and and 19 administrative staff) of women who undergo Hereditary Non-validated outcome measure breast cancer genetic counselling. Fanos et al, 2001 40 adults (37 female and 3 (USA) Survey To assess Hopkins Symptoms Checklist Attitudes to genetic testing brothers) with X-linked severe understanding of the (HSCL) Knowledge of condition combined immunodeficiency. genetics of x-linked Perception of carrier status severe combined immunodeficiency in adults from families who had enrolled in our protocols and attended a family workshop. Freyer et al. 1999 77 patients treated for either Survey To perform Hospital Anxiety and 47 Study, year Participants and genetic Study type Aim of study Validated Outcome measure (country) condition (France) sporadic or familial or were at psychometric and Depression Scale (HADS) risk for medullary thyroid quality of life Subjective Quality of Life carcinoma measurements in a Profile (SQLP) Non-validated outcome measure population of individuals belonging to medullarythyroid carcinoma families Fries et al, 2004 57 high-risk patients for Prospective follow- To assess the outcome Brief Symptom Inventory (USA) inherited breast or ovarian up of accelerated patient (BSI) surveillance in patients Profile of Mood States at high risk for inherited (POMS) cancer. breast or ovarian cancer. Furr & Kelly 1999 330 European American adults (USA) Survey To develop a uni- Genetic Knowledge Index (over 18 years) randomly dimensional index of (GKI) selected from a US population genetic knowledge 48 Study, year Participants and genetic (country) condition Geller et al. 1993 1140 physicians (obstetricians, (USA) Study type Aim of study Validated Outcome measure Non-validated outcome measure Survey To develop a modified modified Tolerance for paediatricians, internists, family tolerance for ambiguity Ambiguity Scale (TFA) practitioners and psychiatrists) scale to elicit physicians’ in USA knowledge and attitudes about genetic testing and determine its psychometric properties. To determine the relationship of the TFA scale with physicians’ demographic characteristics, their training and several behavioural variables including religiosity Grosfeld et al. 47 parents (22 parental Prospective follow- To explore the General (Global) Severity 2000 (The couples and 3 single parents) up psychological reactions Index (GSI) of the Symptom displayed by parents of Check List-90 (SCL90) of children (newborn to 14 49 Study, year Participants and genetic Study type Aim of study Validated Outcome measure (country) condition Netherlands) years of age) who had a their children’s DNA test Impact of Event Scale (IES) genetic test for the cancer results. Spielberger State Trait Non-validated outcome measure disorder multiple endocrine Anxiety Inventory (STAI) neoplasia type 2. Gwyn et al, 2003 518 women (50 years of age (USA) and over) who had undergone women due for routine for breast cancer a screening mammogram 12 to mammography would Interest in genetic testing 14 months before the study but want testing for breast no prior history of breast cancer susceptibility and cancer, abnormal mammogram what factors might or signs of breast cancer. impact on their decision Survey To examine whether Breast Cancer Worry Awareness of genetic testing to pursue testing. Hailey et al, 2000 51 women with (26) or without (USA) Survey To learn about the Anticipated impact of results (25) a first-degree relative with impact of having a first- Assessment of benefits and breast cancer. degree relative for risk of breast cancer testing women not involved with Beck Depression Inventory a formal breast cancer (BDI) Perception of risk 50 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure prevention program. (Breast) Cancer Attitude Inventory (CAI) and Anxiety sub-scale (BCANX) Impact of Event Scales (IES) Harris et al, 75 patients (16 to 38 years) 1996 (UK) Survey To assess the Spielberger Stait-Trait Feelings about the receiving routine antenatal acceptability of Anxiety Inventory (STAI) pregnancy and the baby care in a two-partner training integrating cystic fibrosis Knowledge of cystic fibrosis practice offered carrier testing carrier testing into and factors influencing for cystic fibrosis using a antenatal care by decision to have test computer protocol. general practitioners at the first booking appointment. To explore women’s Breast Cancer Worry participating general practices expectations of cancer General Health to the regional genetics genetic services and the Questionnaire (GHQ) department for breast cancer results of a trial Medical Interview genetic risk counselling. No assessing women’s Satisfaction Scale (MISS) symptoms or diagnosis of satisfaction with a new Holloway et al, 374 women referred from 2004 (UK) Survey 51 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure breast or ovarian cancer model of service delivery. Hurt et al. 2001 17 first-degree relatives (18 (USA) Survey To measure Center for Epidemiological Family history form years and over) of women psychological distress Studies Depression Scale Personal history form diagnosed with breast cancer and the feasibility of a (CES-D) psychological Impact of Events Scale (IES) intervention to reduce Miller Behavioral Style Scale distress in patients (MBBS) see also Monitoring undergoing risk Blunting Behavioural Style assessment. Scale Profile of Mood States (POMS) brief form Katapodi et al. 42 studies (64,276 Systematic review To synthesise research 2004 (USA) participants) and meta-analysis findings of studies on Instruments for perceived risk (validated and non-validated) perceived breast cancer risk. The study examined demographic, psychological, and 52 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure physiological variables as predictors of perceived breast cancer risk and the relationship between perceived breast cancer risk and breast cancer prevention and early detection. Keller et al, 2002 65 individuals with colorectal (Germany) To explore distress and Breast Cancer Worry Ability to cope cancer (35) and unaffected but health beliefs before (modified for colorectal) Attitudes to genetic testing at-risk (30) who participated in and after Giessener Complaints Evaluation of counselling interdisciplinary counselling comprehensive Inventory (GBB) Health beliefs provided by human geneticists, interdisciplinary Hospital Anxiety and Perception of control surgeons and psycho- counselling in families at Depression Scale (HADS) Threat of HNPCC oncologists before genetic risk for HNPCC. Impact of Events Scale (IES) Vulnerability testing. Survey Medical Outcomes Survey Short-Form-12 53 Study, year Participants and genetic (country) condition Kent et al. 2000 69 asymptomatic women (UK) Study type Aim of study Validated Outcome measure Non-validated outcome measure Survey To assess changes in Hospital Anxiety and Perceived risk Thought referred to a breast cancer perceived risk, cognitive Depression Scale (HADS) content and intrusiveness of family history clinic. intrusions and distress Psychological Consequences the thoughts in women undergoing Questionnaire (PCQ) counselling for familial risk of developing breast cancer. Kromberg et al, 89 individuals (30 at-risk for 1999 (South Africa) Intervention To investigate the Beck Depression Inventory predictive testing; 7 for utilisation and sequelae (BDI) prenatal testing and 52 for of the predictive, Life Coping Skills diagnostic testing) prenatal and diagnostic services offered to families with suspected Huntington’s disease. Lodder et al, 28 men requesting 2001 (The BRCA1/BRCA2 testing and Survey To analyse distress in Hospital Anxiety and males at risk of carrying Depression Scale (HADS) 54 Study, year Participants and genetic (country) condition Netherlands) their partners. Study type Aim of study Validated Outcome measure Non-validated outcome measure a BRCA1/BRCA2 Impact of Event Scale (IES) mutation. Life Orientation Test (LOT) Symptom Checklist-90 (SCL90) Ludman et al. 91 women awaiting medical 1999 (USA) Survey To assess female Knowledge about genetic Beliefs about access to appointments at a primary care primary care patients’ testing for inherited cancer BRCA1 testing Intention to clinic. knowledge about breast (Inherited Breast Cancer and be tested cancer genetics and BRCA1 Testing) attitudes toward genetic testing. Matthews et al. 102 patients attending a clinic 2002 (USA) Survey To assess general Breast Cancer Worry Cancer Risk Assessment (visits with both genetic and psychological distress Center for Epidemiological Program Evaluation psychological counsellors) at a among high-risk patients Studies Depression Scale Global Emotional Functioning cancer risk program undergoing brief form (CES-D) Health status predisposition Impact of Events Scale (IES) counselling and/or testing for inherited cancers in a cancer risk 55 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure clinic. To identify the outcome of the pilot program. To identify factors associated with increased acceptance of psychological services. Meiser et al, 333 women waiting initial 2000 (Australia) Survey To assess intention to General Health Accuracy of breast cancer appointments for risk undergo prophylactic Questionnaire (GHQ) risk perception assessment, advice about bilateral mastectomy Impact of Event Scale (IES) Intention to undergo surveillance, and prophylactic and psychologic options at one of 14 familial determinants in cancer clinicians unaffected women at prophylactic mastectomy increased risk of developing hereditary breast cancer. Meiser & 12 studies. Total number of Systematic review To synthesise the General Health Accuracy of perceived risk of Halliday. 2002 participants not known. and meta-analysis published empirical Questionnaire-12 (GHQ12) developing cancer 56 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure (Australia) literature of prospective General Health and randomised Questionnaire-30 (GHQ30) controlled trials that Profile of Mood State include at least one of (POMS) the following outcomes Spielberger State Trait as variables: Anxiety Index-State (STAI- Psychological distress State) (Generalised anxiety; Depression; Breast cancer Anxiety); Accuracy of perceived risk of developing cancer; Breast cancer genetics knowledge; Breast cancer screening uptake Michie et al. 35 patients attending a regional genetics centre Prospective follow- To determine the validity Spielberger State Trait Counsellor-defined important of using genetic Anxiety Inventory-State information 57 Study, year Participants and genetic (country) condition 1997a (UK) excluding those attending for a Study type Aim of study Validated Outcome measure Non-validated outcome measure up counsellors reports of (STAI-State) Patient-defined important pre-determined package of information given in information counselling, those who had genetic consultations as Patients hopes and concerns previously visited the centre, the basis for a measure Patient recall of information non-English speakers and of patient recall. patients without a telephone Michie et al. 32 patients referred to a 1997b (UK) regional genetics centre Survey To categorise the key Spielberger State Trait Knowledge questionnaire points given in genetic Anxiety Inventory-State Meeting of expectations counselling, assess the (STAI-State) Satisfaction with information amount and type of information recalled, and examine the relationship between counsellees‘ knowledge, satisfaction with information received, the meeting of expectations, concern 58 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure and anxiety. To measure how much and what types of information given during a genetic counselling session are recalled and whether this is influenced by receiving a summary letter. Miller et al, 2005 279 women (18 years and (Greece) Intervention To evaluate whether an Knowledge Scale about Intention to obtain genetic over) who telephoned a region educational intervention Breast (and Ovarian) Cancer testing Perceived risk cancer information service would (a) for average and Hereditary Satisfaction with service expressing concerns about risk women increase Monitoring-Blunting Style their risks for breast or ovarian knowledge and Scale (MBSS) cancer decrease risk perceptions and intentions to obtain genetic testing (b) for 59 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure high risk women increase their intention to obtain genetic testing, greater risk-related knowledge and greater risk perceptions. Peters et al, 2000 31 parents caring for children Survey with Proteus syndrome To describe the Beck Depression Inventory Parental confidence in the depression status in (BDI) diagnosis of Proteus parents of individuals syndrome with Proteus syndrome Pieterse et al, 200 individuals (18 years or 2005 (The Netherlands) Survey To describe the Impact of Events Scale (IES) older) referred to a department construction and Quality of Care Through the of medical genetics for psychometric properties Patients’ Eyes (QUOTE)- hereditary cancer. of the QUOTE-geneCA, a geneCA counselee-centred State-Trait Anxiety Inventory instrument intended to (STAI) measure the needs and Threatening Medical 60 Study, year Participants and genetic (country) condition Read et al, 2005 323 individuals affected by (USA) genetic diseases Study type Aim of study Validated Outcome measure Non-validated outcome measure Survey preferences in genetic Situation Inventory (TMSI) counselling for see also Monitoring-Blunting hereditary cancer. Style Scale (MBSS) To develop and Psychological Adaptation to psychometrically Genetic Information Scale evaluate the (PAGIS) Psychological Adaptation to Genetic Information Scale (PAGIS) Ritvo et al, 2000 60 women given familial (Canada) Survey To report the Center for Epidemiological genetic evaluations for ovarian psychological responses Studies Depression Scale cancer risk at their first of women given familial (CES-D) appointment. genetic evaluations for Life Orientation Test (LOT) ovarian cancer risk Medical Outcomes Study Social Support Scale (MOSS) 61 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure State-Trait Anxiety Inventory (STAI) Rose et al. 1999 122 patients (between 20 and (UK) Survey To evaluate the Spielberger State-Trait Knowledge questionnaire 34 years) registered at one feasibility and Anxiety Inventory (STAI) Patient views on reasons for family practice acceptability of taking attendance, awareness and routine family histories understanding and and subsequent genetic acceptability of service to counselling patients Schwartz et al, 289 high-risk women (25 years Prospective follow- To prospectively Breast (and ovarian) Cancer 2003 (USA) of age and over) who had up examine the impact of Worry genetic counselling and testing BRCA1/2 testing on the Hopkins Symptom Checklist for alterations in the BRCA1/2 use of prophylactic (HSL) genes oopherectomy and Impact of Events Scale (IES) ovarian cancer State Anxiety Inventory screening (STAI) To evaluate the impact Functional Assessment of Patient reports of on surgical decision- Cancer Therapy (FACT) recommendation for: genetic Schwartz et al. 194 newly diagnosed patients with breast cancer who had not Survey Perceived risk 62 Study, year Participants and genetic Study type Aim of study Validated Outcome measure Non-validated outcome (country) condition 2004 (USA) yet received definitive surgical making of pre-treatment Impact of Event Scale (IES) testing and surgery treatment and who had at least genetic counselling and Spielberger State-Trait Treatment decisions a 10% prior probability of BRCA1/2 testing among Inventory-State (STAI-State) carrying a BRAC1/2 mutation. breast cancer patients measure at high risk for carrying a mutation. Schwartz et al, 211 patients newly diagnosed 2005 (USA) Survey To evaluate factors Functional Assessment of with breast cancer who had not associated with the Cancer Therapy-General yet received definitive local decision to undergo (FACT) breast cancer treatment and BRCA1/2 gene testing Impact of Events Scale (IES) who had a family history at the time of initial State Anxiety Scale of the consistent with hereditary breast cancer diagnosis. State Trait Anxiety Inventory breast cancer. (STAI) To use clients’ accounts Audit Tool for Genetic of a genetic service in Wales and factor analysis to Services with any type of genetic develop a robust condition or concern assessment and audit Skirton et al. 97 clients (18 years and over) 2005 (UK) Survey 63 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure tool related to outcomes of genetic services. Stalmeier et al. 51 healthy women who had 1999 (The Netherlands) Before and after To evaluate the shared Breast cancer (hereditary) family histories of breast decision making concern cancer referred for breast program for women Desire to participate in the cancer risk counselling and suspected to have a shared decision making screening. genetic predisposition to program breast cancer in terms Emotional reaction to the of practicality, beneficial program information Intention effects and patient to act upon shared decision satisfaction. making program Risk comprehension and subjective knowledge of women in the shared decision making program Satisfaction with shared decision making program Shared decision making 64 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure program rationale acceptability 35. Stalmeier et al. 368 patients at high risk for 2005 (The Netherlands) Survey To investigate which Center for Epidemiologic Attitudes to genetic testing breast and ovarian cancer, psychological factors Studies Depression-Scale and the impact of the results awaiting a genetic test result, play a role when (CES-D) on their lives and facing the choice between patients evaluate their Decision Evaluation Scales: Treatment choice; strength of prophylactic surgery or medical treatment Decision Control Scale; treatment preference and screening. choices. Satisfaction-Uncertainty strength of preference of the Scale and Informed Choice specialist; partner Scale agreement; subjective Impact of Event Scale (IES) knowledge; amount of State Trait Anxiety (STAI) information; satisfaction with quality of information; negative emotional reaction to information; need for support/advice 36. Steinbart et al. 2001 (USA) 11 people at risk for familial Alzheimer disease and Survey To assess the effects of Hospital Anxiety and DNA testing for early- Depression Scale (HADS) 65 Study, year Participants and genetic (country) condition 37. Trask et al. 2001 (USA) Study type Aim of study Non-validated outcome measure frontotemporal dementia who onset familial Alzheimer requested genetic testing after disease and an invite letter frontotemporal dementia 205 women referred to the Validated Outcome measure Before and after Impact of Event Scale (IES) To develop and validate Medical Outcomes Short- breast and ovarian risk a measure designed to Form Survey (SF-36) evaluation program because determine whether Profile of Mood States they have a family history of patients attending a (POMS) breast or ovarian cancer in one newly-founded breast Worry Interference Scale or more close relatives or other and ovarian cancer risk (WIS) risk factors leading to a evaluation clinic presumed increase risk profile perceived their cancerspecific thoughts as interfering with their functioning in a number of areas. van Oostrum et 65 (of these 51 also al. 2003 (The interviewed) unaffected women Survey To explore long-term Breast Cancer Worry – five psychosocial items only Risk and test perceptions 66 Study, year Participants and genetic Study type Aim of study Validated Outcome measure (country) condition Netherlands) with a 25 to 50% risk of consequences of Body Image/Sexuality Scale carrying a BRCA1/2 mutation carrying a BRCA1/2 (BISS) applying for genetic mutation and to identify Hospital Anxiety and predisposition testing in a possible risk factors for Depression Scales (HADS) Family Cancer Clinic long-term psychological Impact of Events Scale (IES) distress Openness to Discuss Cancer Non-validated outcome measure in the Family Scale - adapted Vadaparampil et al. 2005 (USA) 19 studies and 2517 participants Systematic review To review the Breast Cancer Worry Scale instruments most Brief Symptom Inventory commonly used to (BSI) measure depression, Centers for Epidemiologic anxiety and distress and Studies and Depression summarise the reported Scale (CES-D) psychometric properties General Health to assess the Questionnaire (GHQ) psychological factors Hospital Anxiety and measured among Depression Scales (HADS) 67 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure individuals at increased Hopkins Symptoms risk for hereditary Checklist-25 (HSCL-25) breast, ovarian or colon Impact of Event Scale (IES) cancer. Profile of Mood State – short form State-Trait Anxiety Inventory (STAI) Wagner et al. 2000 (USA) 90 people from families in Survey To evaluate the effect Self-rating Depression Scale Attitude of mutation carriers which BRCA1 or BRCA2 was that an awareness of (SDS) towards the option of detected previously. being a BRCA1 or prophylactic mastectomy and BRCA2 mutation carrier or oopherectomy has on the attitude towards prophylactic surgery and on developing depression symptoms. Watson et al. 293 women attending four Survey To investigate the Cancer Anxiety and Expectations of service impact of genetic Helplessness Scale Perception of risk 68 Study, year Participants and genetic (country) condition 2005 (UK) Study type Aim of study Validated Outcome measure Non-validated outcome measure genetic clinics counselling on (Breast) Cancer Worry Scale management of breast General Health cancer risk in women Questionnaire-12 item (GHQ- attending Cancer Family 12) Clinics. Impact of Event Scale (IES) Perceived barriers to mammography Health Beliefs Model (screening and breast cancer) Spielberger State-Trait Anxiety Inventory (STAI) Wolraich et al. 121 participants: 101 patients 1986 (USA) Case-control To determine the Medical Communication Patient knowledge of genetic (parents of children with properties of an Behaviour System (MCBS) condition survey disorders, children with observation system that Medical Interview disorders, relatives concerned was designed to be Satisfaction Scale- modified about having children similarly used in assessing (MISS) affected, persons belonging to situations involving Roter Interactional Analysis 69 Study, year Participants and genetic (country) condition Study type Aim of study Validated Outcome measure Non-validated outcome measure at risk ethnic groups, women of multiple health-care System (process not advanced parental age) providers and family outcome measure) evaluated by a genetic units, in which the care counseling service and 20 providers are dealing unobserved ‘control’ patients. with potentially stressful information. References Baider L, Ever-Hadani P, Kaplan De-Nour A. Psychological distress in healthy women with familial breast cancer: like mother, like daughter? International Journal of Psychiatry in Medicine 1999;29:411-20. Benkendorf JL, Reutenauer JE, Hughes CA, Eads N, Willison J, Powers M, et al. Patients' attitudes about autonomy and confidentiality in genetic testing for breastovarian cancer susceptibility. American Journal Medicine and Genetics 1997;73:296-303. Berkenstadt M, Shiloh S, Barkai G, Katznelson MB, Goldman B. Perceived personal control (PPC): a new concept in measuring outcome of genetic counselling. American Journal of Medical Genetics 1999;82:53-9. Biesecker BB, Ishibe N, Hadley DW, Giambarresi TR, Kase RG, Lerman C, et al. Psychosocial factors predicting BRCA1/BRCA2 testing decisions in members of hereditary breast and ovarian cancer families. American Journal of Medical Genetics 2000;93:257-63. Bowen DJ, Burke W, Yasui Y, McTiernan A, McLeran D. Effects of risk counselling on interest in breast cancer genetic testing for lower risk women. Genetics in Medicine 2002;4:359-65. 70 Brain K, Norman P, Gray J, Mansel R. Anxiety and adherence to breast self-examination in women with a family history of breast cancer. Psychosomatic Medicine 1999;61:181-7. Brain K, Gray J, Norman P, France E, Anglim C, Barton G, et al. Randomized trial of a specialist genetic assessment service for familial breast cancer. Journal of the National Cancer Institute 2000;92:1345-51. Brain K, Sivell S, Bennert K, Howell L, France L, Jordan S, et al. An exploratory comparison of genetic counselling protocols for HNPCC predictive testing. Clinical Genetics 2005;68:255-61. Braitman A, Antle RM. Development of instruments to measure counselees' knowledge of Down syndrome. Clinical Genetics 1978;13:25-36. Cederholm M., Axelsson O, Sjoden PO. Women's knowledge, concerns and psychological reactions before undergoing an invasive procedure for prenatal karyotyping. Ultrasound in Obstetrics & Gynecology 1999;14:267-72. Cella D, Hughes C, Peterman A, Chang CH, Wenze lL, Lemke A, et al. A Brief Assessment of Concerns Associated With Genetic Testing for Cancer: The Multidimensional Impact of Cancer Risk Assessment. (MICRA) Questionnaire. Health Psychology 2002;21:564-72. Collins V, Meiser B, Gaff C, St John DJ, Halliday J.Screening and preventive behaviors one year after predictive genetic testing for hereditary nonpolyposis colorectal carcinoma. Cancer 2005;104:273-81. Decruyenaere M, Evers-Kiebooms G, Boogaerts A, Cassiman JJ, Cloostermans T, Demyttenaere K, et al. Predictive testing for Huntington's disease: risk perception, reasons for testing and psychological profile of test applicants. Genetic Counselling 1995;6:1-13. Decruyenaere M, Evers-Kiebooms G, Boogaerts A, Cassiman JJ, Cloostermans T, Demyttenaere K, et al. Psychological functioning before predictive testing for Huntington's disease: the role of the parental disease, risk perception, and subjective proximity of the disease. Journal of Medical Genetics 1999;36:897-905. De Marco TA, Peshkin BN, Mars BD, Tercyak KP. Patient Satisfaction With Cancer Genetic Counseling: A Psychometric Analysis of the Genetic Counseling Satisfaction Scale. Journal of Genetic Counseling 2004;13:293-304. Denayer L, Welkenhuysen M, Evers-Kiebooms G, Cassiman JJ, Van den BH. The CF carrier status is not associated with a diminished self-concept or increased anxiety: results of psychometric testing after at least 1 year. Clinical Genetics 1996;49:232-6. 71 Donovan KA, Tucker DC. Knowledge about genetic risk for breast cancer and perceptions of genetic testing in a socio-demographically diverse sample. Journal of Behavioural Medicine 2000;23:15-36. Dorval M, Patenaude AF, Schneider KA, Kieffer SA, DiGianni L, Kalkbrenner KJ, et al. Anticipated versus actual emotional reactions to disclosure of results of genetic tests for cancer susceptibility: findings from p53 and BRCA1 testing programs. Journal of Clinical Oncology 2000;18(10): 2135-42. Drake ER, Engler-Todd L, O'Connor AM, Surh LC, Hunter A. Development and evaluation of a decision aid about prenatal testing for women of advanced maternal age. Journal of Genetic Counselling 1999;8:217-33. Erblich J, Brown K, Kim Y, Valdimarsdottir HB, Livingston BE, Bovbjerg DH. Development and validation of a Breast Cancer Genetic Counseling Knowledge Questionnaire. Patient Education and Counselling 2005;56:182-91. Fanos JH, Davis J, Puck JM. Sib understanding of genetics and attitudes toward carrier testing for X-linked severe combined immunodeficiency. American Journal of Medical Genetics 2001;98:46-56. Freyer G, Dazord A, Schlumberger M, Conte-Devolx B, Ligneau B, Trillet-Lenoir V et al. Psychosocial impact of genetic testing in familial medullary-thyroid carcinoma: a multicentric pilot-evaluation. Annals of Oncology 1999;10:87-95. Fries MH, Hailey BJ, Flanagan J, Licklider D. Outcome of five years of accelerated surveillance in patients at high risk for inherited breast/ovarian cancer: report of a phase II trial. Military Medicine 2004;169:411-6. Furr LA, Kelly SE. The genetic knowledge index: Developing a standard measure of genetic knowledge. Genetic Testing 1999;3:193-9. Geller G, Tambor ES, Chase GA, Holtzman NA. Measuring physicians' tolerance for ambiguity and its relationship to their reported practices regarding genetic testing. Medical Care 1993;31:989-1001. Grosfeld FJ, Beemer FA, Lips CJ, Hendriks KS, Ten Kroode HF. Parents' responses to disclosure of genetic test results of their children. American Journal of Medical Genetics 2000;94:316-23. Gwyn K, Vernon SW, Conoley PM. Intention to pursue genetic testing for breast cancer among women due for screening mammography. Cancer Epidemiology, Biomarkers & Prevention 2003;12:96-102. 72 Hailey BJ, Carter CL, Burnett DR. Breast cancer attitudes, knowledge, and screening behaviour in women with and without a family history of breast cancer. Health Care Women International 2000;21:701-15. Harris H, Scotcher D, Hartley N, Wallace A, Craufurd D, Harris R. Pilot study of the acceptability of cystic fibrosis carrier testing during routine antenatal consultations in general practice. British Journal of General Practice 1996;46:225-7. Holloway S, Porteous M, Cetnarskyj R, Anderson E, Rush R, Fry A, et al. Patient satisfaction with two different models of cancer genetic services in south-east Scotland. British Journal of Cancer 2004;90:582-9. Hurt GJ, McQuellon RP, Michielutte R, Conrad DM, Carter S, Anderson H. Risk assessment of first-degree relatives of women with breast cancer: a feasibility study. Oncology nursing forum 2001;28:1097-104. Katapodi MC, Lee KA, Facione NC, Dodd MJ. Predictors of perceived breast cancer risk and the relation between perceived risk and breast cancer screening: a meta-analytic review. Preventative Medicine 2004;3:388-402. Keller M, Jost R, Haunstetter CM, Kienle P, Knaebel HP, Gebert J, et al. Comprehensive genetic counselling for families at risk for HNPCC: impact on distress and perceptions. Genetic Testing 2002;6:291-302. Kent G, Howie H, Fletcher M, Newbury-Ecob R, Hosie K. The relationship between perceived risk, thought intrusiveness and emotional well-being in women receiving counselling for breast cancer risk in a family history clinic. British Journal of health Psychology 2000;5:15-26. Kromberg JG, Krause A, Spurdle AB, Temlett JA, Lucas M, Rodseth D, et al. Utilisation of predictive, prenatal and diagnostic testing for Huntington's disease in Johannesburg. South African Medical Journal - Suid-Afrikaanse Tydskrif Vir Geneeskund 1999;89:774-8. Lodder L, Frets PG, Trijsburg RW, Tibben A, Meijers-Heijboer EJ, Duivenvoorden HJ, et al. Men at risk of being a mutation carrier for hereditary breast/ovarian cancer: an exploration of attitudes and psychological functioning during genetic testing. European Journal of Human Genetics 2002;9:492-500. Ludman EJ, Curry SJ, Hoffman E, Taplin S. Women's knowledge and attitudes about genetic testing for breast cancer susceptibility. Effective Clinical Practice 1999;2(4):158-62. 73 Matthews AK, Brandenburg DL, Cummings S, Olopade OI. Incorporating a psychological counsellor in a cancer risk assessment program: Necessity, acceptability, and potential roles. Journal of Genetic Counselling 2002;11:51-64. Meiser B, Butow P, Friedlander M, Schnieden V, Gattas M, Kirk J, et al. Intention to undergo prophylactic bilateral mastectomy in women at increased risk of developing hereditary breast cancer. Journal of Clinical Oncology 2000;18:2250-7. Meiser B, Halliday JL. What is the impact of genetic counselling in women at increased risk of developing hereditary breast cancer? A meta-analytic review. Social Science & Medicine 2002;54:1463-70. Michie S, French S, Allanson A, Bobrow M, Marteau TM. Information recall in genetic counselling: a pilot study of its assessment. Patient Education & Counselling 1997a;32:93-100. Michie S, McDonald V, Marteau TM. Genetic counselling: information given, recall and satisfaction. Patient Education & Counselling 1997b;32:101-6. Miller SM, Fleisher L, Roussi P, Buzaglo JS, Schnoll R, Slater E, et al. Facilitating informed decision making about breast cancer risk and genetic counselling among women calling the NCI's Cancer Information Service. Journal of Health Communication 2005;10:119-36. Peters KF, Biesecker LG. An opportunity for genetic counselling intervention: Depression in parents of individuals with Proteus syndrome. Journal of Genetic Counselling 2000;9:161-71. Pieterse A, van Dulmen S, Ausems M, Schoemaker A, Beemer F, Bensing J. QUOTE-gene(ca): development of a counselee-centred instrument to measure needs and preferences in genetic counselling for hereditary cancer. Psychooncology 2005;14:361-75. Read CY, Perry DJ, Duffy ME. Design and psychometric evaluation of the Psychological Adaptation to Genetic Information Scale. Journal of Nursing Scholarship 2005;37:203-8. Ritvo P, Robinson G, Irvine J, Brown L, Matthew A, Murphy KJ, et al. Psychological adjustment to familial genetic risk assessment: differences in two longitudinal samples. Patient Education & Counselling 2000;40:163-72. Rose P, Humm E, Hey K, Jones L, Huson SM. Family history taking and genetic counselling in primary care. Family Practice 1999;16:78-83. 74 Schwartz MD, Kaufman E, Peshkin BN, Isaacs C, Hughes C, DeMarco T, et al. Bilateral prophylactic oophorectomy and ovarian cancer screening following BRCA1/BRCA2 mutation testing. Journal of Clinical Oncology 2003;21:4034-41. Schwartz MD, Lerman C, Brogan B, Peshkin BN, Halbert CH, DeMarco T, et al. Impact of BRCA1/BRCA2 counselling and testing on newly diagnosed breast cancer patients. Journal of Clinical Oncology 2004;22:1823-9. Schwartz MD, Lerman C, Brogan B, Peshkin BN, Isaacs C, DeMarco T et al. Utilization of BRCA1/BRCA2 mutation testing in newly diagnosed breast cancer patients. Cancer Epidemiology Biomarkers & Prevention 2005;14:1003-7. Skirton H, Parsons E, Ewings P. Development of an audit tool for genetic services. American Journal of Medical Genetics 2005;136A:122-7. Stalmeier PF, Unic IJ, Verhoef LC, van Daal WA. Evaluation of a shared decision making program for women suspected to have a genetic predisposition to breast cancer: preliminary results. Medical Decision Making 1999;19:230-41. Stalmeier PF, Roosmalen MS, Verhoef LC, Hoekstra-Weebers JE, Oosterwijk JC, Moog U, et al. The decision evaluation scales. Patient Education & Counselling 2005;57:286-93. Steinbart EJ, Smith CO, Poorkaj P, Bird TD. Impact of DNA testing for early-onset familial Alzheimer disease and frontotemporal dementia. Archives of Neurology 2001;58:1828-31. Trask P, Paterson AG, Wang C, Hayasaka H, Milliron K, Blumberg L, et al. Cancer-specific worry interference in women attending a breast and ovarian cancer risk evaluation program: Impact on emotional distress and health functioning. Psychooncology 2001;10:349-60. Van OI, Meijers-Heijboer H, Lodder LN, Duivenvoorden HJ, van Gool AR, Seynaeve C, et al. Long-term psychological impact of carrying a BRCA1/2 mutation and prophylactic surgery: a 5-year follow-up study. Journal of Clinical Oncology 2003;21:3867-74. Vadaparampil ST, Ropka M, Stefanek ME. Measurement of psychological factors associated with genetic testing for hereditary breast, ovarian and colon cancers. Familial Cancer 2005;4:195-206. Wagner TM, Moslinger R, Langbauer G, Ahner R, Fleischmann E, Auterith A, et al. Attitude towards prophylactic surgery and effects of genetic counselling in families with BRCA mutations. Austrian Hereditary Breast and Ovarian Cancer Group. British Journal of Cancer 2000;82:1249-53. 75 Watson M, Kash KM, Homewood J, Ebbs S, Murday V, Eeles R. Does genetic counselling have any impact on management of breast cancer risk? Genetic Testing 2005;9(2):167-174. Wolraich ML, Albanese M, Stone G, Nesbitt D, Thomson E, Shymansky J, Bartley J, Hanson J. Medical Communication Behaviour System. An interactional analysis system for medical interactions. Medical Care 1985;24:891-903. Appendix 3: Description of validated outcome measures used in the evaluation of clinical genetics services Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Int R Anticipated impact Hailey et al. Two domains: anticipated impact of positive result (6 To assess the likelihood of a Rating scale of results (2000) items) and anticipated impact of negative result (6 variety of possible psychological Index Lerman et items) reactions to a positive and Genetics negative test result. specific al. (1995) Nonpreference based Assessment of Hailey et al. Two sections: 6-item scale on perceived benefits of To assess the perceived benefits Rating scale benefits and risk of (2000) genetic testing and 5-item scale on perceived risks of and risks of genetic testing. Profile breast cancer Lerman et genetic testing testing al. (1995) Int R Genetics specific 76 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Nonpreference based Audit Tool for Skirton et 18-items with six-factors: enhanced understanding; To measure outcomes of clinical Rating scale Face V Genetic Services al. (2005) positive psychological change; respect for autonomy; genetics services. Profile Con V adaptation; disequilibrium; value of contact Genetics specific Nonpreference based Beck Depression Beck et al. 21 symptoms and attitudes: mood; pessimism; sense To measure the intensity of Rating scale Int R Inventory (BDI) (1988) of failure; lack of satisfaction; guilt feelings; sense of depression in psychiatrically Index Con V punishment; self-dislike; self-accusation; suicidal diagnosed patients and for Non-genetics Cstruc V wishes; crying; irritability; social withdrawal; sleep detecting depression in normal specific Crit V disturbance; fatigability; loss of appetite; weight loss; populations. Non- somatic preoccupation and loss of libido. Scored by preference summing the ratings given to each of the 21 items. based Two long versions (21-items) and one short version 77 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Int R (13-item) have been developed. Beliefs About Breast Bowen et Three scales: fear of stigma (3-item); beliefs about To measure specific beliefs about Rating scale Cancer Genetic al. (2002) unrestricted access to genetic testing (2-items); breast cancer genetic testing. Profile Testing unrestricted flow of information about test results Genetics among family members and physicians (3-items). specific Nonpreference based Body Van 28-items based on three scales: general body image To assess body image and Rating scale Int R Image/Sexuality Oostrum et (five dimensions and six items); breast-related body general sexual functioning Index Retest R Scale (BISS) al. (2003) image (three items) and general sexual functioning Genetics Lodder et (five dimensions and seven items). Two items specific al. (2002) concerned estimated importance of physical Non- appearance; three items concerned frequency and preference quality of non-sexual intimacy; five items concerned based perceptions of partner’s feelings and two items asked how important one judged cuddling or having sex with the partner. A separate scale is available for partners. 78 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a (Breast) Cancer Berrenberg 41-item self-report scale. To assess attitudes towards Rating scale Int R Attitude Inventory (1991) Two shortened versions exist: 30-item with word cancer. Profile Retest R (CAI) and Anxiety Hailey et al. ‘breast’ added before cancer and 8-item for anxiety Non-genetics Cstruc V sub-scale (BCANX) (2000) (BCANX) specific Nonpreference based Breast cancer Stalmeier et (hereditary) concern al. (1999) Four questions To determine concern about Rating scale breast cancer Index Int R Genetics specific Nonpreference based Breast Cancer Erblich et 27-item version (mixed true/false and multiple choice To assess knowledge of Rating scale Int R Genetic Counselling al. (2005) format) assessing: basic Mendelian genetic information generally provided Profile Con V Knowledge information; transmission of genetic risk for breast during breast cancer genetic Genetics Crit V Questionnaire cancer; implications of BRCA1/2 status for risk of counselling. It may provide a specific 79 Outcome measure Primary Domains Purpose source (s) (BCGKQ-27) Type of Validation measure (reported)a developing other cancers, implications of carrier status method to assess the impact of Non- for one’s own risk, implications for family members’ stress and other factors given preference risks, implications for one’s screening behaviour and that distress and worry based information regarding the utility of prophylactic associated with risk for breast measures cancer may have an impact on processing of information. Breast Cancer Lerman et Three items: frequency of worry; impact on mood; To assess dimensions of cancer Rating scale Int R Worry al. (1991a) impact on functioning. Also, six-item scale available. worry Profile Retest R Lerman et Non-genetics al. (1991b) specific McCaul et Non- al. (1998) preference based Brief Symptom Derogatis A shortened form of the SCL-90 R. Nine symptom To assess psychological Rating scale Int R Inventory (1983) dimensions and a global index of distress: The Global symptom patterns in normal Profile and Retest R Severity Index (GSI) populations and in psychiatric index patients. Non-genetics specific 80 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Nonpreference based Cancer Anxiety and Kash et al. Helplessness Scale (1992) 12-item To assess women’s general Rating scale cancer anxiety and sense of Profile helplessness. Non-genetics Int R specific Nonpreference based Center for Radloff 20-item scale that includes: depressed mood; feelings To measure depressive Rating scale Int R Epidemiologic (1977) of guilt and worthlessness; feelings of helplessness symptomatology in the general Index Retest R Studies Depression- Ross & and hopelessness; psychomotor retardation; loss of population rather than the Non-genetics Cstruct V Scale (CES-D) and Mirowsky appetite and sleep disturbance. Scores range from 0 to assessment for diagnosis at specific brief form (1984) 60 with higher score indicating more symptoms. There clinical intake and/or evaluation Non- is also a brief form that contains seven-items: of severity of illness over the preference depressed affect; positive affect; somatic complaints; course of treatment. based interpersonal problems. 81 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Decision Evaluation Stalmeier et 15-items representing three separate scales: Decision To assess how patients evaluate Rating scale Int R Scales al. (2005) Control Scale; Satisfaction-Uncertainty Scale and their medical treatment choice. Profile Con V Non-genetics Cstruc V Informed Choice Scale. specific Nonpreference based Decisional Conflict O’Connor Scale that contains questions derived from the To measure decisional conflict, Rating scale Int R Scale (DCS) (1995) decisional conflict construct: uncertainty (three items); which is a state of uncertainty Index Retest R Bunn & selected factors contributing to the uncertainty (nine about the course of action to Non-genetics Cstruc V O’Connor items) and perceptions of effective decision-making take. Designed to elicit: specific Crit V (1996) (five items). Scores range from one (low decisional uncertainty about choosing Non- conflict) to five (high decisional conflict). among alternatives; modifiable preference factors contributing to certainty, based such as feeling informed, clear about values, and supported in decision-making; and perceived quality of decision making. 82 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Int R Decision making Brain et al. 4-item scale: time spent thinking about whether or not To measure the extent to which Rating and process (2005) to have test; number of people discussed with; how women thought or ‘agonised’ multiple-choice Michie et al. many reasons in total considered and how difficult it about the decision. Profile (1997) was to make upo their mind about the test. Genetics specific Nonpreference based Desire to participate Stalmeier et in the shared al. (1999) Four questions decision making To measure desire to participate Rating scale in the shared decision making Index program Genetics program Int R specific Nonpreference based Emotional reaction Stalmeier et to the program al. (1999) information Four items To measure the emotional Rating scale reaction to information given on Index the shared decision making Genetics Int R 83 Outcome measure Primary Domains Purpose source (s) program Type of Validation measure (reported)a specific Nonpreference based Family Environment Moos & 90-item survey with 10 subscales representing Designed to measure the social- Rating scale Int R Scale (FES) Moos dimensions of: family relationships (conflict, cohesion environmental characteristics of Profile Retest R (1994) and expressiveness); personal growth (independence, all types of families. Three forms Non-genetics Face V Halvorsen achievement orientation, intellectual-cultural of the FES are available: The specific Con V (1991) orientation, active-recreational orientation and moral- Real Form (Form R) measures Non- Cstruc V religious emphasis; system maintenance (organization people’s perceptions of their preference and control measures). Families are then grouped into actual family environments, the based one of three family environment typologies. Ideal Form (Form I) rewords items to assess individuals’ perceptions of their ideal family environment, and the Expectations Form (Form E) instructs respondents to indicate what they expect a family 84 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a environment will be like under, for example, anticipated family changes. A children’s version is also available. Functional Cella et al. FACT-general consists of five subscales: physical well- To measure quality of life in Rating scale Int R Assessment of (1993) being; emotional well-being; social well-being; patients with cancer. There is Profile and Retest R Cancer Therapy- Brady et al. functional well-being and relationship with doctor. It also a scale specific to breast Index Cstruc V General (FACT) (1997) contains 28 items. The FACT-B scale consists of the cancer. Non-genetics S FACT-general plus the breast cancer subscale. It specific contains 44-items. Breast Cancer subscale consists of Non- nine items. preference based General Health Goldberg & Versions available: To detect those with a Rating scale Int R Questionnaire Williams GHQ-60; GHQ-30; GHQ-28; GHQ-12. diagnosable psychiatric disorder. Index Retest R (GHQ) (1988). 60-items (GHQ-60). Scaled version (GHQ-28) contain It looks at two areas: inability to Non-genetics Con V Goldberg & 28-item with 4 subscales (somatic symptoms; anxiety carry out one’s normal ‘healthy’ specific Cstruc V Hillier and insomnia; social dysfunction and sever functions and the appearance of Non- Crit V (1979) depression). new phenomena of a distressing preference S 85 Outcome measure Primary Domains Purpose Type of Validation measure (reported)a nature. based I source (s) Genetic Counseling Tercyak et Six-items related to the process and content of a To assess patient satisfaction Rating scale Int R Satisfaction Scale al. (2001) genetic counselling session: length of time spent in with the process and content of Index Face V genetic counselling; counselor’s perceived genetic counselling Genetics (GCSS) understanding of, and empathy toward, patient stress; specific perceived helpfulness and value of the session; degree Non- of feelings of reassurance. Satisfaction with preference information received. based Genetic Knowledge Furr & Kelly Five items: prevent and cure; determinism; racial To measure level of genetic Rating scale Int R Index (GKI) (1999) academic differences; only mothers can pass genes knowledge, not specific to a Index Cstruc V and unhealthy. Four domains measure knowledge genetic disease. Designed to be Genetics concepts of causality: clinical genetics; health, illness an edumetric rather than specific and disease; social characteristics or stigma and psychometric measure. Non- inheritance/heritability. Uses true/false format. preference based Global Severity Derogatis SCL-90R has 90-items. It has 9 primary symptom The SCL-90R was designed to Rating scale Int R Index (GSI) of the (1983) dimensions (somatization; obsessive-compulsive; reflect the psychological Profile Retest R 86 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Symptom Check interpersonal sensitivity; depression; anxiety; hostility; symptom patterns of psychiatric Non-genetics Cstruc V List-90 (SCL90) phobic anxiety; paranoid ideation; psychoticism) plus 7 and medical patients. To specific Crit V extra clinically important items. Three 3 global indices measure the degree to which Non- S of distress are used (global severity index; positive they suffered from psychological preference symptom distress index; positive symptom total). complaints based 11-items To assess perceived Rating scale susceptibility to disease, severity Profile of disease, benefits of Non-genetics intervention, risks of intervention, specific and practical obstacles to Non- intervention. preference Health Beliefs Model Kash et al. (screening and (1992) breast cancer) Face V based Health Orientation Woolridge A written self-report instrument. Nine situations posed Designed to objectively appraise Rating scale Int R Scale & Murray (6 relate to sickle trait and 2 directed to more generally the psychological implications of Profile Retest R (1989) feared health conditions eg. cancer and hypertension, identification as a sickle cell gene Genetics Cstruc V one addresses self-concept). Each situation followed carrier. Also used to assess the specific by 12 bipolar semantic differential (rating) scales with 3 emotional implications of being a Non- 87 Outcome measure Primary Domains Purpose source (s) dimensions: evaluative; potency and activity. carrier of the CF-gene Type of Validation measure (reported)a preference based Hopkins Symptom Derogatis Main scale has 58-items with 5 dimensions To assess the presence and Rating scale Int R Checklist (HSCL) et al. (1974) (somatisation; obsessive-compulsive; interpersonal severity of anxiety and Profile retest R sensitivity; anxiety and depression). 25-item scale to depression symptoms over the Non-genetics Cstruc V assess anxiety and depression previous month. It is a self-report specific Crit V symptom inventory. Nonpreference based Hospital Anxiety and Zigmond & 14 questions with two subscales: anxiety and Self-assessment mood scale Rating scale Int R Depression Scale Snaith depressions each including seven items designed for use in non- Profile Con V (HADS) (1983) psychiatric hospital patients to Non-genetics detect states of depression and specific anxiety. Nonpreference based Impact of Event Horowitz et 15-items of which seven measure intrusion To evaluate current subjective Rating scale Int R Scale (IES) al. (1979) characterised by unbidden thoughts and images of the distress for any life event. The Index Retest R 88 Outcome measure Primary Domains Purpose source (s) Intention to act upon Stalmeier et shared decision al. (1999) Type of Validation measure (reported)a S event and eight items measure avoidance wording is not anchored to a Non-genetics characterised by denial of meanings and specific occurrence but to the specific consequences of the event particular qualities of conscious Non- experience that encompass all preference such events. based To measure the intention to act Rating scale upon the shared decision making Index program Genetics Two questions making program Int R specific Nonpreference based Knowledge About Donovan & 18-items with the following dimensions: symptoms; risk To assess women’s knowledge Rating scale Int R Breast Cancer Tucker factors for breast cancer; misconceptions; of several dimensions of breast Profile Con V (2000) epidemiology and curability. Also versions called cancer. Generic Stager Breast Cancer Knowledge Test (20-items) (Stager Non- (1993) 1993) and Women’s Knowledge about Breast Cancer preference Vaeth (16-items) (Vaeth 1993) based 89 Outcome measure Primary Domains Purpose Type of Validation measure (reported)a To assess knowledge of True/false Int R inheritance of breast-ovarian rating cancer susceptibility and genetic Profile testing. Genetics source (s) (1993) Knowledge about Lerman et genetic testing for al. (1996) 11-item scale. Adapted to HNPCC (Brain et al. 2005) inherited cancer specific Nonpreference based Knowledge about Donovan & 14-item scale: hereditary knowledge about breast To assess women’s knowledge Rating scale genetic risk for Tucker cancer and increased risk of breast cancer associated about the hereditary nature of Profile breast cancer (2000) with BRCA1 or BRCA2 gene (11-items) (Hughes 1997, breast cancer and the increased Genetics Lerman 1997); legal, ethical and social implications of risk of breast and ovarian cancer specific receiving genetic test results (3-items) (Mark, Garber associated with altered BRCA1 Non- and Patenaude 1995, Rothstein 1995) or BRCA2 gene. preference Int R based Knowledge Scale Ondrusek N 11-item scale measuring: knowledge about breast Developed to test general Rating scale Retest R about Breast (and et al. (1999) cancer incidence and prognosis, risk factors, knowledge about breast cancer Index Con V 90 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Ovarian) Cancer screening, disease presentation and treatment and and hereditary breast cancer Non-genetics and Hereditary hereditary breast cancer. The 11-items fall into three among women at low to specific areas: incidence and etiology (3 items); screening, moderate risk of hereditary Non- disease presentation and treatment (4 items) and breast cancer. preference genetics (4 items). Adapted to include ovarian cancer. based Life Orientation Test Scheier et The Life Orientation test is an 8-item measure (plus 4 To measure the level of optimism Rating scale Int R (LOT) al. (1994) filler items). The revised (brief) (LOT) comprised 10- in one’s outlook on life Index Retest R Carver et item scale and only 6 of the 10 items used to derive an Non-genetics Cstruc V al. (1994) optimism score (4 filler items). specific Nonpreference based Measure of Braitman & 26-item questionnaire relating to the recurrence risk for To measure counselees’ Rating scale Face V Counselees’ Antley. Down syndrome; basic genetic knowledge; knowledge knowledge and/or understanding Index Con V Knowledge of Down (1978) about prenatal diagnosis. 12-questions selected as a of Down syndrome Genetics Int R Syndrome post-test and 8-questions selected as a pre-test specific Nonpreference 91 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a based Medical Wolraich et Codes 13-healthcare provider and 10 patient To assess physician-patient Rating scale Con V Communication al. (1986) behaviours organised into: informational; relational and interactions that involve giving Profile Cstruc V negative behaviour categories. distressful information. Genetics Crit V Behaviour System (MCBS) specific Nonpreference based Medical Interview Wolf et al. 29-items: 11 items relate to distress relief (cognitive To assess the patient’s Rating scale Int R Satisfaction Scale - (1978) domain); 10 items relate to rapport (affective domain); perception of a particular care Profile Con V 4 items relate to communication comfort encounter rather than satisfaction Non-genetics (communication behaviour); 4 items relate to with medical care in general specific modified (MISS) compliance (behaviour intent). Modified version: Non- removed 9 items that did not relate to genetic preference counselling and re-wording some questions to make based them appropriate for genetic counselling Medical Outcomes Ware 36-item questionnaire with eight domains: physical Short-Form Survey (1993) functioning; social functioning; role-emotional; role- To measure quality of life. Rating scale Int R Profile and Con V 92 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a (SF-36 and SF-12) Jenkinson physical; bodily pain; vitality; mental health; general index Crit V Oxford, 1996 et al. (1996) health. Also, 12-item version. Non-genetics Cstruc V specific Nonpreference based Medical Outcomes Sherbourne 19-item measuring 5 dimensions: emotional; To measure the current Rating scale Int R Study Social et al. (1991) informational; tangible; affectionate and positive social availability of functional support Profile Retest R Non-genetics Cstruc V Support Scale interaction. (MOSS) specific Nonpreference based Monitoring Blunting Miller Describes four hypothetical threatening/stress-evoking To determine information-seeking True/false Int R Style Scale (MBSS) (1987) situations each followed by eight statements describing coping style. rating Retest R see also Miller ways of dealing with the situation. Profile and Behavioural Style index Scale and Non-genetics 93 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Threatening Medical specific Situation Inventory Non- (TMSI) preference based Minnesota Graham 566 statements with: 8 Validity Scales*; 5 Superlative To assess general personality True/false Int R Multiphasic (1987) Self-Presentation Subscales*; 10 Clinical Scales; 9 profile. Ego strength is Profile Retest R Personality Barron Restructured Clinical (RC) Scales; 15 Content Scales*; conceptualised as the general Non-genetics Con V Inventory (MMPI) (1953) 27 Content Component Scales*; 20 Supplementary capacity for personality specific Cstruc V plus supplementary Scales*; 31 Clinical Subscales*; various special or integration. People with high ego Non- Crit V ego strength scale setting-specific indices* (*not included in all reports). strength tend to have good preference The Basic Service Report only provides information on coping strategies to deal with based 3 Validity Scales (L, F, K) and the 10 Clinical Scales, stress which are located in the first 370 items. Several additional supplementary scales have been developed, such as Ego strength which consists of 68 items grouped under: physical functioning and physiological stability; psychasthemia and seclusiveness; attitudes towards religion; moral posture; sense of reality; 94 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Int R personal adequacy, ability to cope; phobias, infantile anxieties; miscellaneous. Modified Maternal Goel et al. Original questionnaire 14-items (Knowledge of Original questionnaire designed Rating scale Serum Screening (1996) maternal serum screening) that has been modified to to assess knowledge about Index 19-items. maternal serum screening. Genetics Questionnaire Modified to assess knowledge of specific (MSSKQ) prenatal testing in general rather Non- than maternal serum screening preference Knowledge based modified Tolerance Geller et al. Seven-items related to tolerance for ambiguity. Two To measure ambiguity tolerance Rating scale Int R for Ambiguity Scale (1993) sub-scales present: desire for certainty (4 items) and as a more general personality Index Con V willingness to admit discomfort with ambiguity (3 items) trait. Intolerance for ambiguity Non-genetics has been defined as ‘the specific tendency to perceive situations Non- that are novel, complex or preference insoluble, as sources of threat.’ based (TFA) Multidimensional Cella et al. 25-item questionnaire containing 21 questions for all To assess concerns and Rating scale Int R Impact of Cancer (2002) respondents and 4 questions on parenthood status, psychosocial issues associated Profile Cstruc V 95 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Crit V Risk Assessment test result and cancer diagnosis. Three sub-scales: with genetic testing for cancer Genetics (MICRA) distress (6 items); uncertainty (9 items) and positive risk specific experiences (4 items) Nonpreference based Openness to Mesters et Eight statements: four refer to openness of discussion To assess openness of Rating scale Int R Discuss Cancer in al. (1997) in the family in general; two refer to openness of communication about cancer Index Con V the Family Scale discussion with the partner and two refer to openness (and cancer genetic test result) in Non-genetics Crit V (ODCFS) of discussion with the children. the nuclear family (partner and specific children) and the family of origin Non- (parents, siblings). Openness of preference discussion is related to a based theoretical model of coping with cancer stress. Patient Satisfaction Brain et al. 12-items with 3 dimensions: instrumental; affective; To assess patient satisfaction Rating scale with Genetic (2000) procedural. with the genetic counseling Profile Counselling Shiloh et al. process. Genetics (1990) Int R specific 96 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Nonpreference based Perceived personal Berkenstadt Nine items representing three dimensions of control: Personal control is defined as: Rating scale Int R control (PPC) et al. (1999) cognitive; behavioural and decisional. ’the belief that one has at one’s Index Cstruc V disposal a response that can Genetics Con V influence the aversiveness of an specific event. Nonpreference based Perceived Risk of Brain et al. 2-items: what level of risk do you think you have and in To assess perceived personal Rating scale Breast Cancer (1999) your opinion, what are your chances of getting breast risk of developing breast cancer. Profile Lerman et cancer compared with the average woman. Int R Generic al. (1997) Nonpreference based Perceptions of the Donovan & 14-item scale with two independent factors: To assess perceptions of the Rating scale benefits, limitations Tucker perceptions of benefits and perceptions of benefits, limitations and risks of Profile Int R 97 Outcome measure Primary Domains Purpose source (s) and risks of genetic (2000) testing Hughes et limitations/risks Type of Validation measure (reported)a genetic testing for breast-ovarian Genetics cancer risk. specific al. (1997) Non- Lerman et preference al. (1996) based Lerman et al. (1997) Audrain et al. (1995) Profile of Mood McNair et 65-item questionnaire with six scales: tension/anxiety; To measure mood states in Rating scale Int R State (POMS) al. (1981) depression/dejection; anger/hospitality; vigor/activity; psychiatric outpatients and for Index Retest R fatigue/inertia and confusion/bewilderment. Brief assessing changes in such Non-genetics Face V version contains 17-items. patients. It is also used in non- specific patient populations. Nonpreference based Prostate cancer Doukas 53-item attitude survey: 49 non-intent questions and 4 To explore what values and Rating scale genetic screening (2004) questions to probe men’s expressed intent. Five expectations influence the Profile Int R 98 Outcome measure Primary Domains Purpose source (s) survey Type of Validation measure (reported)a subscales: motivation; consequences; distress; intention of men to undergo Genetics positive expectations; intention genetic testing for prostate specific cancer risk Nonpreference based Psychological Read et al. 50-items with five subscales (non-intrusiveness; To measure multiple dimensions Rating scale Int R Adaptation to (2005) support; self-worth; certainty; self-efficacy) of psychological adaptation to Profile Con V Genetic Information genetic information to facilitate Genetics Scale (PAGIS) evaluation of the efficacy of specific counseling and supportive Non- interventions and to identify preference people at risk for coping based difficulties. Psychological Cockburn 12-items and three domains: emotional (5); social (2) To assess the psychological Rating scale Int R Consequences et al. (1992) and physical life (3). consequences of breast Profile Con V mammography on well-being Non-genetics Cstruc V Questionnaire (PCQ) specific Non- 99 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a preference based Quality of Care Pieterse et 25-items on generic and 19-items on genetics-specific To measure the needs and Rating scale Int R Through the al. (2005) aspects of health care. preferences in genetic counseling Profile Con V Patients’ Eyes for hereditary cancer before their Genetics Cstruc V (QUOTE)-geneCA first consultation. specific Nonpreference based Risk comprehension Stalmeier et and subjective al. (1999) Six questions To assess risk comprehension Rating scale and subjective knowledge of the Index knowledge of women in the shared decision Genetics women in the making program specific shared decision Non- making program preference Int R based Rosenberg Self- Rosenberg Esteem Scale (1965) 10-item scale. Scores range from 0 to 6. Global measure of self-esteem Rating scale Int R considered to be an indicator of Index Retest R 100 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Curbow & psychological adjustment. Self- Non-genetics Somerfield esteem has been defined as: ‘a specific (1991) favourable or unfavourable Non- attitude toward the self’. This preference measure was originally based developed to measure adolescents' global feelings of self-worth or self-acceptance. Satisfaction with Brain et al. Decision Scale 6-items: satisfaction with the decision To measure satisfaction with a Rating scale (2005) medical decision. Profile Holmes- Developed in the context of Non-genetics Rovner et postmenopausal hormone- specific al. (1996) replacement therapy decisions. Non- Int R preference based Satisfaction with Stalmeier et shared decision al. (1999) making program 7 questions: satisfaction and support dimensions To measure the level of Rating scale Int R satisfaction with the shared Index Cstruc V decision making program Genetics 101 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a specific Nonpreference based Self-rating Zung 20-items: psychic or affective; physiological or somatic; To measure measure, using self- Rating scale Int R Depression Scale (1986) psychomotor and psychological. rating and interviewer rating, Index Con V depressive disorder. Non-genetics Face V specific Cstruc V (SDS) Nonpreference based Shared decision Stalmeier et making program al. (1999) rationale acceptability 4 questions To measure the acceptability of Rating scale the rationale for the shared Index decision making program Genetics Int R specific Nonpreference based 102 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a Spielberger State Spielberger 20-statements for the S-Anxiety scale that evaluate To measure anxiety. The STAI Rating scale Int R Trait Anxiety et al. (1970) how respondents feel ‘right now, at this moment’ and clearly differentiates between the Profile Retest R Inventory (STAI) Marteau & 20-statements for the T-Anxiety scale that assess how temporary condition (state Non-genetics Face V and state scale Bekker respondents feel ‘generally’. anxiety) and the more general specific Con V (STAI-State) (1992) and long-standing condition (trait Non- Cstruc V anxiety). A version has been preference Crit V adapted for use in children. based S I Spiritual Well-Being Ellison & 20-item: 10 items measure existential well-being To assess personal spiritual Rating scale Int R Scale (SWBS) Smith (EWB) and 10-items measure religious well-being meaning and satisfaction. Index Retest R (1991) (RWB). The scale gives three scores: total scale score Spiritual well-being has been Non-genetics Crit V Gioiella et (SWB); a score for RWB and EWB. The highest defined as: ‘the affirmation of life specific al. (1998) degree of SWB is 120 and 60 each for RWB and EWB. in a relationship with God, self, Non- community and environment that preference nurtures and celebrates based wholeness’. The scale may be useful in evaluating the impact of various forms of health 103 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a interventions on subjective wellbeing of patients Subjective Quality of Dazord The domains considered are: functional life; social life; To assess subjective quality of Rating scale Int R Life Profile (SQLP) (1995) material life; spiritual life; unforeseen domains; global life in patients or healthy people Profile Retest R assessments; ability (or change); degree of and explore the various Non-genetics Crit V satisfaction; importance attributed; change anticipated; dimensions of quality of life. specific Cstruc V ability to cope; global measures. Divided into a core Subjective refers to the subject’s Non- and optional questionnaire: physical and psychological own inner experience rather than preference well-being; inter-individual and social relationships. ‘objective’, which relates to based The core questionnaire contains 33 items. The aspects of everyday life (health subjective weight is dependent on: the importance status to material attributed to each goal by the subject; his/her tolerance considerations). of the distance between his/her position and his/her goals and his/her ability to cope with this distance. Tennessee SelfConcept Scale Fitts (1965) 100 descriptive statements designed measure of the The scale is intended to Rating scale Int R individual’s concept of self. Provides scores for: summarize an individual's feeling Profile and Retest R physical self (physical appearance); moral-ethical self of self-worth, the degree to which index Cstruc V (feelings of being a good or bad person); personal self the self-image is realistic, and Non-genetics Crit V 104 Outcome measure Primary Domains Purpose source (s) Type of Validation measure (reported)a (sense of personal worth); family self (feeling of whether or not that self-image is specific adequacy as a family member); social self (self as a deviant one. The measure has Non- perceived in relation to others); self-criticism (tendency a version for children. preference to fake good) and a total score. based Utrechtse Coping Westbrook Five dimensions: confrontation versus avoidance; To evaluate coping strategies Rating scale List (UCL) (1979) optimism versus realism; seeking versus not seeking such as: active coping, palliative Profile interpersonal help; fatalism versus positive orientation; coping, avoiding reactions, social Non-genetics control versus lack of control by the self. Dutch support seeking, depressive- specific adaptation of the Westbrook Coping Scale. regressive coping, expression of Non- emotions or anger and preference comforting ideas. based Int R Worry Interference Trask Seven-item: disruptions in sleep, work, concentration, To assess the degree to which Rating scale Int R Scale (WIS) (2001) relationships, having fun, feeling sexually attractive, thoughts about breast cancer are Index Retest R meeting family needs and reproductive decisions. perceived as interfering with the Genetics Con V Additional items assess participants: abilities to speak respondents’ daily functioning. specific with their partners about their concerns, their partners Non- abilities to be understanding and frequency of preference participants’ worries about their children’s or based 105 Outcome measure Primary Domains source (s) Purpose Type of Validation measure (reported)a grandchildren’s chances of developing breast cancer. Embedded in a larger survey that assesses: perceived risk; intent to undergo genetic testing and frequency of worry about getting breast cancer. aCoding for psychometric tests performed: Validity: face validity (Face V); content validity (Con V), construct (Cstruc V), criterion (Crit V); Reliability: internal reliability (Int R); test/retest (Retest R) Sensitivity to change: (S) Interpretability (I) 106 References Audrain J, Lerman C, Rimer B, Cella D, Steffens R, Gomez-Caminero A and the high risk breast cancer consortium. Awareness of heightened breast cancer risk among first-degree relatives of recently diagnosed breast cancer patients. Cancer Epidemiology, Biomarkers & Prevention 1995;4:561-565. Barron F. An ego-strength scale which predicts response to psychotherapy. Journal of Consulting Psychology 1953;17(5):327-333. Beck AT, Steer RA, Garbin MG. Psychometric properties of the Beck Depression Inventory: twenty-five years of evaluation. Clinical Psychology Review 1988;8:77100. Berkenstadt M, Shiloh S, Barkai G, Katznelson MbM, Goldman B. Perceived personal control (PPC): a new concept in measuring outcome of genetic counselling. American Journal of Medical Genetics 1999;82:53-9. Berrenberg JL. The Cancer Attitude Inventory: development and validation. Journal of Psychosocial Oncology 1991;9(2):35-44. Brady M, Cella DF, Bonomi AE, Tulsky DS, Lloyd SR, Deasy S, et al. Reliability and validity of the functional assessment of cancer therapy-breast quality of life instrument. Journal of Clinical Oncology 1997;15:974-986. Braitman A, Antley RM. Development of instruments to measure counselees' knowledge of Down syndrome. Clinical Genetics 1978;13:25-36. Bunn H, O’Connor AM. Validation of client decision-making instruments in the context of psychiatry. The Canadian Journal of Nursing Research 1996;28(3):13-27. Carver CS, Pozo-Kaderman C, Harris SD, Noriega V, Scheier MF, Robinson DS, et al. Optimism versus pessimism predicts the quality of women’s adjustment to early stage breast cancer. Cancer 1994;73:1213-1120. Cella DF, Tulsky DS, Gray G, Sarafian B, Linn E, Bonomi A, et al. The functional assessment of cancer therapy scale: development and validation of the general measure. Journal of Clinical Oncology 1993;11:570-579. Cella D, Hughes C, Peterman A, Chang C, Peshkin BN, Schwartz MD, et al. Brief assessment of concerns with genetic testing for cancer: The Multidimensional Impact of Cancer Risk Assessment (MICRA) Questionnaire. Health Psychology 2002;21(6:564-572. Cockburn J, De Luise T, Hurley S, Clover K. Development and validation of the PCQ: a questionnaire to measure the psychological consequences of screening mammography. Social Science and Medicine 1992;34(10):1129-1134. 107 Cull AM. The assessment of sexual function in cancer patients. European Journal of Cancer 1992;28a(10):1680-1686. Curbow B, Somerfield M. Use of the Rosenberg self-esteem scale with adult cancer patients. Journal of Psychological Oncology 1991;9(2):113-131. Dazord A. Quality of life assessment in medicine: presentation of a new instrument (Subjective Quality of Life Profile (SQLP)) and first results. European Respiratory Review 1995;5(25):66-71. Derogatis LR, Lipman RS, Rickels K, Uhlenhuth EH, Covi L. The Hopkins Symptom Checklist (HSCL): a self-report symptom inventory. Behavioural Science 1974;19:1-5. Derogatis LR. SCL-90R manual II. Clinical Psychometric Research, 1983. Doukas DJ, Li Y. Men's values-based factors on prostate cancer risk genetic testing: a telephone survey. BMC Medical Genetics 2004;5:28-35. Durosinmi MA, Odebiyi AI, Adediran IA, Akinola NO, Adegorioye DE, Okunade MA. Acceptability of prenatal diagnosis of sickle cell anaemia (SCA) by female patients and parents of SCA patients in Nigeria. Social Science and Medicine 1995;41:433-436. Eisinger F, Stoppa-Lyonnet D, Lasset C, Vennin P, Chabal F, Nogues C, Moatti JP, Sobol H, Julia-Reynier C. Comparison of physicians' and cancer prone women's attitudes about breast/ovarian prophylactic surgery. Results from two national surveys. Familial Cancer 2001;1:157-62. Ellison CW, Smith J. Towards an integrative measure of health and well-being. Journal of Psychology and Theology 1991;19(1):35-48. Erblich J, Brown K, Kim Y, Valdimarsdottir HB, Livingston BE, Bovbjerg DH. Development and validation of a Breast Cancer Genetic Counselling Knowledge Questionnaire. Patient Education and Counselling 2005;56:182-91. Fitts WH. Tennessee Self-Concept Scale manual. Counsellor recordings and tests. Western Psychological Services, 1965. Furr LA, Kelly SE, Furr LA, Kelly SE. The Genetic Knowledge Index: developing a standard measure of genetic knowledge. Genetic Testing 1999; 3:193-9. Garber JE, Patenaude AF. Ethical, social and counselling issues in hereditary cancer susceptibility. Cancer Surveys 1995;25:381-397. Geller G, Tambor ES, Chase GA, Holtzman NA. Measuring physicians' tolerance for ambiguity and its relationship to their reported practices regarding genetic testing. Medical Care 1993;31(11):989-1001. Gioiella ME, Berkman B, Robinson M. Spirituality and quality of life in gynecologic oncology patients. Cancer Practice 1998;6(6):333-38. 108 Goel V, Glazier R, Holzapfel S, Pugh P, Summers A. Evaluating patient’s knowledge of maternal serum screening. Prenatal Diagnosis 1996;16: 425-430. Goldberg D, Williams P. A users guide to the GHQ. Berkshire: NFER Nelson Publishing, 1988. Goldberg DP, Hillier VF. A scaled version of the general health questionnaire. Psychological Medicine 1979;9:139-145. Graham, J.R. The MMPI. A practical guide. Oxford: Oxford University Press, 1987. Halvorsen JG. Self-report family assessment instruments: an evaluative review. The Family Practise Research Journal 1991;11(1):21-55. Holmes-Rovner M, Kroll J, Scmitt N, Rovner D, Breer L, Rothert ML, Padonu G, Talarczyk G. Patient satisfaction with healthcare decisions: the satisfaction with decision scale. Medical Decision making 1996;15:58-64. Horowitz FW, Wilner N, Alvarez W. Impact of event scale: a measure of subjective stress. Psychosomatic Medicine 1979;41(3):209-1. Hughes C, Gomez-Caminero G, Benkendorf J, Kerner J, Isaacs C, Barter J, lerman C. Ethnic differences in knowledge and attitudes about BRCA1 testing in women at increased risk. Patient Education & Counselling 1997;32:51-62. Jenkinson C, Layte R, Wright L, Coulter A. The UK SF-36: an analysis and interpretation manual. Health Services Research Unit, University of Oxford, 1996 Julian-Reynier CM, Bouchard LJ, Evans DG, Eisinger FA, Foulkes WD, Kerr B, et al. Women's attitudes toward preventive strategies for hereditary breast or ovarian carcinoma differ from one country to another: differences among English, French, and Canadian women. Cancer 2001;92:959-68. Kash KM, Holland JC, Halper MS, Miller DG. Psychological distress and surveillance behaviours of women with a family history of breast cancer. Journal of the National Cancer Institute 1992;84:24-30. Lafayette D, Abuelo D, Passero MA, Tantravahi U. Attitudes toward cystic fibrosis carrier and prenatal testing and utilization of carrier testing among relatives of individuals with cystic fibrosis. Journal of Genetic Counselling 1999;8(1):17-36. Lerman C, Trock B, Rimer BK, Boyce A, Jepson C, Engstrom PF. Psychological and behavioural implications of abnormal mammograms. Annals of Internal Medicine 1991;114:657-661. Lerman C, Trock B, Rimer BK, Jepson C, Brody D, Boyce A. Psychological side effects of breast cancer screening. Health Psychology 1991;10: 259-267. 109 Lerman C, Seay J, Balshem A, Audrain J. Interest in genetic testing among first-degree relatives of breast cancer patients. American Journal of Medical Genetics 1995;57:385-392. Lerman C, Narod S, Schulman K, Hugghes C, Gomez-Caminero A, Bonney, et al. BRCA1 testing in families with hereditary breast-ovarian cancer. A prospective study of patient decision making and outcomes. JAMA (1996) 275(24), 1885-1892. Lerman C, Biesecker B, Beckendorf J, Kerner J, Gomez-Caminero A, Hughes C, Reed M. Controlled trial of pre-test education approaches to enhance informed decision-making for BRCA1 gene testing. Journal of the National Cancer Institute 1997;89(2):148-157. Lerman C, Biesecker B, Benkendorf JL, Kerner J, Gomez-Caminero A, Hughes C, Reed MM. Controlled trial of pre-test education approaches to enhanced informed decision making for BRCA1 gene testing. Journal of the National Cancer Institute 1997;89(2):148-157. Lodder LN, Frets PG, Trijsburg RW, Meijers-Heijboer EJ, Klijn GM, Verhoog LC, Brekelmans CTM, Burger CW, Niermeijer MF. One year follow-up of women opting for pre-symptomatic testing for BRCA1 and BRCA2: emotional impact of the test outcome and decisions on risk management (surveillance or prophylactic surgery). Breast Cancer Research and Treatment 2002;73:97-112. Mark HFL, Ricker R, Weitzel J. Clinical and research issues in breast cancer genetics. Annals of Clinical & Laboratory Science 1996;26(5):396-408. Marteau TM, Bekker H. The development of a six-item short-form of the state scale of the Spielberger State-Trait Anxiety Inventory (STAI). British Journal of Clinical Psychology 1996;31:301-306. Matthews AK, Branbenburg DL, Cummings S, Olopade OI. Incorporating a psychological counsellor in a cancer risk assessment program: Necessity, acceptability, and potential roles. Journal of Genetic Counselling 2002;11(1):51-64. McCaul KD, Branstetter AD, O’Donnell SM, Jacobson K, Quinlan KB. A descriptive study of breast cancer worry. Journal of Behavioural Medicine 1998;21(6):565579. McNair DM, Lorr M, Droppleman LF. Manual for the Profile of Mood States. Educational and Industrial testing Service (EdITS), 1981. Measurement Task Force. Cancer genetics studies consortium. National Human Genome Research Institute, Ethical, Legal and Social Implications Program, 1995. 110 Meiser B, Halliday JL. What is the impact of genetic counselling in women at increased risk of developing hereditary breast cancer? A meta-analytic review. Social Science and Medicine 2002;54:1463-1470. Mesters I, van den Borne H, McCormick L, Pruyn J, de Boer M, Imbos T. Openness to discuss cancer in the nuclear family: scale, development and validation. Pychosomatic Medicine 1997;59:269-279. Michie S, French D, Allanson A, Bobrow M, Marteau T. Information recall in genetic counselling: a pilot study of its assessment. Patient Education & Counselling 1997;32:93-100. Michie S, McDonald V, Marteau T. Genetic counselling: information given, recall and satisfaction. Patient Education & Counselling 1997;32:101-106. Michie S, Smith D, McClennan A, Marteau TM. Patient decision making: an evaluation of two different methods of presenting information about a screening test. British Journal of Health Psychology 1997;2:317-326. Miller SM. Monitoring and blunting: validation of a questionnaire to assess styles of information seeking under threat. Journal of Personality and Social Psychology 1987;52(2):345-353. Mirowsky J, Ross CE. Control or defence? Depression and the sense of control over good and bad outcomes. Journal of Health and Social Behaviour 1990;31(1):71-86. Moos RH, Moos BS. Family Environment Scale Manual. Consulting Psychologists Press, 1994. O’Connor AM. Validation of a decisional conflict scale. Medical Decision Making 1995;15:25-30. Ondrusek N, Warner E, Goel V. Development of a knowledge scale about breast cancer and heredity (BCHK). Breast Cancer Research and Treatment 1999;53:6975. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measures 1977;1(3):385-401. Rosenberg M. Society & the Adolescent Self-Image. Princeton University Press, 1965. Ross CE, Mirowsky J. Components of depressed mood in married men and women: The Center for Epdemiologic Studies Depression Scale. American Journal of Epidemiology 1984;119:997-1001. 111 Rothestein MA. Genetic testing: employability, insurability and health reform. Journal of the National Cancer Institute 1995;17:87-90. Scheier MF, Carver CS, Bridges MW. Distinguishing optimism from neuroticism (and Trait anxiety, self-mastery and self-esteem): a re-evaluation of the Life Orientation Test. Journal of Personality and Social Psychology 1994;67(6):1063-1078. Shiloh S, Avdor O, Goodman RM. Satisfaction with genetic counselling: dimensions and measurement. American Journal of Medical Genetics 1990;37:522-9. Sherbourne CD, Stewart AL. The MOS social support survey. Social Science and Medicine 1991;32(6):705-714. Spielberger CD, et al. Manual for the STAI. Consulting Psychologists Tests, 1970. Stager JL. The comprehensive Breast Cancer Knowledge Test: validity and reliability. Journal of Advanced Nursing 1993;18:1133-1140. Stalmeier PFM, Unic IJ, Verhoef LCG, Van Daal WAJ. Evaluation of a shared decision making program for women suspected to have a genetic predisposition to breast cancer: preliminary results. Medical Decision Making 1999;19:230-241. Tercyak KP, Johnson SB, Roberts SF, Cruz AC. Psychological response to prenatal genetic counselling and amniocentesis. Patient Education and Counselling 2001;43:73-84. Trask P, Paterson AG, Wang C, Hayasaka H, Milliron K, Blumberg L, et al. Cancer-specific worry interference in women attending a breast and ovarian cancer risk evaluation program: Impact on emotional distress and health functioning. Psychooncology 2001;10:349-60. Vaeth PA. Women’s knowledge about breast cancer. Dimensions of knowledge and scale development. American Journal of Clinical Oncology 1993;16(5):446-454. Van Oostrum I, Meijers-Heijboer H, Lodder LN, Duivenvoorden HJ, van Gool AR, Seynaeve C. Long-term psychological impact of carrying a BRCA1/2 mutation and prophylactic surgery: a 5-year follow-up study. Journal of Clinical.Oncology 2003;21:3867-74. Ware JE. SF-36 Health survey: manual and interpretation guide. Health Institute, New England Medical Centre, 1993. Wolf MH, Putnam SM, James SA, Stiles WB. Medical Interview Satisfaction Scale: development of a scale to measure patient perceptions of physician behaviour. Journal of Behavioural Medicine 1978;1(4):391-401. Westbrook MT. A classification of coping behaviour based on multidimensional scaling of similarity ratings. Journal of Clinical Psychology 1979; 35(2):407-409. Woolridge EQ, Murray RF. The health orientation scale: a measure of feelings about sickle cell trait. Social Biology 1989;35:123-136. 112 Zigmond AS, Snaith AP. The Hospital Anxiety and Depression Scale. Acta Psychiatrica Scandanavica 1983;67:361-70. Zung WK. Zung self-rating depression scale and depression status inventory. In: Sartorius, N., Ban, T. (Eds). Assessment of Depression. Berlin: Springer, 1986. Appendix 1: Search strategy for Medline # Search History 1 (Genetic adj4 screen$).tw. 2 (Genetic adj4 assessment).tw. 3 (Genetic adj4 evaluation).tw. 4 (Genetic adj4 laborator$).tw. 5 Non-directive couns$.tw. 6 (Genetic adj4 test$).tw. 7 (Genetic$ adj4 service$).tw. 8 Couns$.tw. 9 Genetic$.tw. 10 8 and 9 11 (Genetic$ adj4 cent$).tw. 12 Genetic$ clinic$.tw. 13 (Genetic$ adj4 register$).tw. 14 (Genetic$ adj4 advi$).tw. 15 Clinical genetic$.tw. 16 Genetic medicine$.tw. 17 Genetic risk$.tw. 18 Genetic information$.tw. 19 1 or 2 or 3 or 4 or 5 or 6 or 7 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17 or 18 20 Patient-based outcome$.tw. 21 Patient-reported outcome$.tw. 113 22 Patient outcome$.tw. 23 Health status$.tw. 24 Health status indicator$.tw. 25 Quality of life.tw. 26 Functional status$.tw. 27 Subjective health status$.tw. 28 Health status assessment$.tw. 29 Disability scale$.tw. 30 Subjective health.mp. 31 Performance status$.tw. 32 (Outcome$ adj4 measure$).tw. 33 Outcome$.tw. 34 Effect$.tw. 35 Utility.tw. 36 Measure$.mp. 37 Success$.tw. 38 Impact$.tw. 39 Satisfaction.mp. 40 Participation.mp. 41 Patient.mp. 42 Consumer.mp. 43 39 or 40 44 41 or 42 45 43 or 44 46 ((public or consumer$ or patient$) adj3 (preference$ or opinion$ or choice$ or participat$)).tw. 47 Anxiety.tw. 48 Belief$.tw. 49 Depression.tw. 114 50 Adjustment.tw. 51 Cancer worry.tw. 52 (Understand$ adj4 risk$).tw. 53 worry.tw. 54 (Understand$ adj4 genetic$).tw. 55 (Recall adj4 risk$).tw. 56 (Knowledge adj4 risk$).tw. 57 Decision-making.tw. 58 Reproductive intention$.tw. 59 Reproductive behavio$.tw. 60 Screening intention$.tw. 61 Screening behavio$.tw. 62 (Family adj4 communicat$).tw. 63 (Interest adj4 genetic test$).tw. 64 (Interest adj4 screening).tw. 65 (Uptake adj4 genetic test$).tw. 66 (Uptake adj4 screening).tw. 67 Patient expectation$.tw. 68 Psychologic$.tw. 69 Psychosocial$.tw. 70 Psycho-social$.tw. 71 Assessment.tw. 72 Patient-communication.tw. 73 Patient communication.tw. 74 (Perce$ adj4 risk).tw. 75 Perceived personal control$.tw. 76 Satisfaction$.tw. 77 Elicit$.tw. 115 78 Perceived control.mp. 79 Personal control.mp. 80 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 31 or 32 or 33 or 34 or 35 or 36 or 37 or 38 or 45 or 46 or 47 or 48 or 49 or 50 or 51 or 52 or 53 or 54 or 55 or 56 or 57 or 58 or 59 or 60 or 61 or 62 or 63 or 64 or 65 or 66 or 67 or 68 or 69 or 70 or 71 or 72 or 73 or 74 or 75 or 76 or 77 or 78 or 79 81 19 and 80 82 Psychometric$.tw. 83 Validity.tw. 84 Reliability.tw. 85 Responsiveness.tw. 86 Effect size$.tw. 87 Sensitivity to change$.tw. 88 Reproducibility.tw. 89 Acceptability.tw. 90 Appropriat$.tw. 91 Precision.tw. 92 Interpretability.tw. 93 Feasibility.tw. 94 82 or 83 or 84 or 85 or 86 or 87 or 88 or 89 or 90 or 91 or 92 or 93 95 81 and 94 96 remove duplicates from 95 97 limit 96 to human 116