Electronic supplementary material 1 Search strategy: PsychINFO

advertisement
Electronic supplementary material 1
Search strategy: PsychINFO (OVID).
Search terms were identical for each database, with field abbreviations being adapted to meet the
specific structure for the database where necessary.
01.
02.
03.
04.
05.
06.
07.
08.
09.
10.
11.
12.
13.
14.
15.
16.
17.
18.
attitud*.mp.
norm*.mp.
control.mp.
exp intention/ or intention*.mp.
1 AND 2 AND 3 AND 4
Theory of planned behavi*.mp. [mp=title, abstract, heading word, table of contents, key concepts,
original title, tests & measures]
TPB.mp.
Theory of reasoned action.mp.
TRA.mp.
Planned behavi*.mp. [mp=title, abstract, heading word, table of contents, key concepts, original
title, tests & measures]
Ajzen.mp. [mp=title, abstract, heading word, table of contents, key concepts, original title, tests &
measures]
10 AND 11
5 OR 6 OR 7 OR 8 OR 9 OR 12
Adherence*.mp
Compliance*.mp
Concordance*.mp
14 OR 15 OR 16
13 AND 17
Electronic supplementary material 3
Data Extraction Table: Characteristics of Studies Included in the Meta-analysis of Theory of Planned Behavior and Adherence in Chronic Illness
Study
Condition
Sample characteristics
Study design
Type of
Adherence
Behavior
Theory of reasoned
action/ Theory of
planned behavior
constructs measured
Adherence outcome measure(s)
Self-report: Godin leisure-time
exercise questionnaire (Godin
& Shephard, 1985)
+
Objective: Attendance at
cardiac rehab classes
Objective: Attendance at
cardiac rehab classes
(sample size, mean age in
years (SD) and gender)
Blanchard et
al. (2002)
Heart disease
N = 81; age = 59.59
(11.49); male = 70%
Correlational;
prospective
Exercise [b]
Theory of planned
behavior: all
Blanchard et
al. (2003)
Heart disease
Correlational;
prospective
Exercise [b]
Theory of planned
behavior: all
Blanchard
(2008)
Heart disease
N = 215; age = 59.52
(10.90); Gender not
reported
N = 76; age: 62.6 (11.0);
male = 76%
Correlational;
prospective
Exercise [b]
Theory of planned
behavior: all
Brown et al.
(2009)
Epilepsy
Correlational;
prospective*
Medication [a]
Theory of planned
behavior: all
Chapman et
al. (1995)
Diabetes
N = 81; age = 41.9 (15.4)
intervention and 44.10
(16.4) control; male =
39%
N = 48; age = 67 (4.3);
male = 100%
Correlational;
prospective
Diet [c]
Theory of planned
behavior: attitude,
intention, subjective
norm
Self-report: Godin leisure-time
exercise questionnaire (Godin
& Shephard, 1985)
Objective: medical events
monitoring system
Self-report:
two items addressing whether
or not participant had eaten
high calorie food and how
often
Chisholm et
al. (2007)
Organ
transplant renal
Psychiatric Bipolar
Psychiatric
N = 158; age = 51 (12.4);
male = 60%
Correlational;
cross-sectional
Medication [a]
Theory of planned
behavior: all
Objective: pharmacy refill
records
N = 48; age 40 (SD not
provided); male = 35%
N = 61; age and gender
not reported
Correlational;
cross-sectional
Correlational;
cross sectional
Medication [a]
Theory of reasoned
action: all
Theory of planned
behavior: all
Costa et al.
(2012)
Type 2
diabetes
N = 179; age = 59.6 (SD
= 10.33); male = 57.5%
Correlational;
cross sectional
Diabetes selfcare (blood
glucose
monitoring) [d]
Theory of planned
behavior: all
Courneya et
al. (2008)
Breast cancer
Correlational;
prospective*
Exercise [b]
Theory of planned
behavior: all
Courneya et
al. (2010)
Didarloo et al.
(2012)
Lymphoma
N = 242; age = 49 (SD not
reported; majority aged
50-59); female = 100%
N = 122; age = 53 (SD not
reported); male = 59%
N = 352; Age = 18-65
(SD not reported); female
= 100%
Self-report: first author’s
adapted scale
Self-report: what percentage of
the time did you take your
medication?
Self-report: revised
summary of diabetes self-care
activities questionnaire
(Toobert et al., 2000)
+ Objective (HbA1c levels)
Objective: exercise class
attendance
Correlational;
prospective*
Correlational;
cross-sectional
Exercise [b]
Diabetes selfcare [d]
Theory of planned
behavior: all
Theory of reasoned
action: all
Gatt and
Sammut
(2008)
Type 2
diabetes
Correlational;
prospective
Diabetes selfcare [d]
Theory of planned
behavior: all
Cochran and
Gitlin (1988)
Conner et al.
(1998)
Diabetes
N = 100; age = 64 (SD not
reported); male = 39%
Medication [a]
Objective: exercise class
attendance
Self-report: revised
summary of diabetes self-care
activities questionnaire
(Toobert et al., 2000)
Self-report: revised
summary of diabetes self-care
activities questionnaire
Gucciardi et
al. (2007)
Type 2
diabetes
N = 61; age = 60 (SD not
reported); male = 31%
Correlational;
prospective*
Diet [c]
Theory of planned
behavior: all
Hebert et al.
(2010)
Insomnia
N = 94; age not reported;
male = 38.3%
Correlational;
cross-sectional
Implementing
sleep hygiene
practices at
home [d]
Theory of planned
behavior: subjective
norm, intention,
perceived behavioral
control
Hunt and
Gross (2009)
Obesity
N = 212; age = 41.23
(10.54); male = 21.2%
Correlational;
prospective
Exercise [b]
Theory of planned
behavior: all
Jeon and Lee
(2006)
Hypertension
Correlational;
cross-sectional
Medication [a]
Manning and
Bettencourt
(2011)
Miller et al.
(1992)
Breast cancer
N =166; majority in their
sixties (26.8%); male =
43.6%
N = 162; age not
reported; female = 100%
Correlational;
prospective
Medication [a]
Theory of planned
behavior: attitude,
subjective norm
Theory of planned
behavior; all
N = 56; age = 61.75
(10.74); male = 98%
Correlational;
cross -sectional
Self-care (diet,
not smoking,
activity, stress,
management
and medication)
[a, b, c, d]
Hypertension
Theory of reasoned
action: all
Self-report: revised
summary of diabetes self-care
activities questionnaire
(Toobert et al., 2000)
Self-report: wording not
reported
Self-report: Godin leisure-time
exercise questionnaire (Godin
& Shephard, 1985) and
international physical activity
questionnaire (World Health
Organization, 2000)
Self-report: wording not
reported
Self-report: medication
adherence report scale (Horne
& Weinman, 1999)
Self-report: health behaviours
scale (Miller et al., 1982)
Quine et al.
(2012)
Hypertension
N = 1070; age = 69.0
(11.7); male = 42%
Correlational;
prospective
Medication [a]
Theory of planned
behavior: all
Saal and
Kagee (2012)
HIV
N = 101; age = 35 (7.05);
male = 17.8%
Correlational;
cross-sectional
Medication [a]
Theory of planned
behavior: all
Sainsbury and
Mullan (2011)
Coeliac
disease
N = 265; age = 45.1
(13.0); male = 16.6%
Correlational;
cross-sectional
Diet [c]
Theory of planned
behavior: all
Sainsbury et
al. (2013)
Coeliac
disease
N = 390; age= 44.2
(12.7); male = 17.2%
Correlational;
cross-sectional
Diet [c]
Theory of planned
behavior: all
Scholz et al.
(2012)
Organ
transplant
(heart, lung,
liver or
kidney)
Heart disease
N =121; age = 54.32
(13.32); male = 67%
Correlational;
cross- sectional
Medication [a]
Theory of planned
behavior: all
N = 95; age = 63 (10.3);
male = 72.8%
Correlational;
prospective
Exercise [b]
Theory of planned
behavior: intention,
perceived behavioral
control
N = 149; age = 34 (SD
not reported); male =
58.3%
Correlational;
cross- sectional
Self-care - tooth
brushing [d]
Theory of reasoned
action: all
Sniehotta et
al. (2010)
Syrjala et al.
(2002)
Diabetes
Self-report: augmented version
of the Morisky medication
adherence scale (Morisky et al.,
1986)
Self-report: Morisky
medication adherence scale
(Morisky et al., 1986)
Self-report: coeliac dietary
adherence test (Leffler et al.,
2009)
Self-report: coeliac dietary
adherence test (Leffler et al.,
2009)
Self- report: German version of
the transplant effects
questionnaire (Klaghofer et al.,
2008)
Self-report: Godin leisure-time
exercise questionnaire (Godin
& Shephard, 1985)
+
Objective: attendance at cardiac
rehab classes
Self-report: diabetes adherence
scale (Kneckt et al., 1999).
Vissman et al.
(2013)
HIV/AIDS
N = 66; age = 38 (10.3);
male = 74%
Correlational;
cross-sectional
Medication [a]
Theory of planned
behavior: attitude,
subjective norm,
perceived behavioral
control
Self-report: two-item scale
Note: [a] = Denotes studies coded for moderators as medication adherence; [b] = Denotes studies coded for moderators as exercise adherence; [c] = Denotes
studies coded for moderators as diet adherence; [d] = Denotes studies coded for moderators as self-care.*Study had an experimental design but have been
classified as correlational because the intervention was not aimed at changing the theory of planned behavior variables.
References
Blanchard, C. (2008). Understanding exercise behaviour during home-based cardiac rehabilitation: a theory of planned behaviour perspective.
Canadian Journal of Physiology and Pharmacology, 86, 8-15.
Blanchard, C. M., et al. (2002). Determinants of exercise intention and behavior during and after phase 2 cardiac rehabilitation: An application
of the theory of planned behavior. Rehabilitation Psychology, 47, 308.
Blanchard, C. M., et al. (2003). Is the theory of planned behavior a useful framework for understanding exercise adherence during phase II
cardiac rehabilitation? Journal of Cardiopulmonary Rehabilitation and Prevention, 23, 29-39.
Brown, I., et al. (2009). Enhancing antiepileptic drug adherence: a randomized controlled trial. Epilepsy & Behavior, 16, 634-639.
Chapman, K. M., et al. (1995). Applying behavioral models to dietary education of elderly diabetic patients. Journal of Nutrition Education, 27,
75-79.
Chisholm, M. A., et al. (2007). Predicting adherence to immunosuppressant therapy: a prospective analysis of the theory of planned behaviour.
Nephrology Dialysis Transplantation, 22, 2339-2348.
Cochran, S. D., & Gitlin, M. J. (1988). Attitudinal correlates of lithium compliance in bipolar affective disorders. Journal of Nervous and Mental
Disease, 176, 457-464.
Conner, M., et al. (1998). Understanding drug compliance in a psychiatric population: An application of the theory of planned behaviour.
Psychology, Health & Medicine, 3, 337-344.
Costa, V., et al. (2012). Partner support, social-cognitive variables and their role in adherence to self-monitoring of blood glucose in type 2
diabetes. European Diabetes Nursing, 9, 81-86.
Courneya, K. S., et al. (2008). Predictors of supervised exercise adherence during breast cancer chemotherapy. Medicine and Science in Sports
and Exercise, 40, 1180-1187.
Courneya, K. S., et al. (2010). Predictors of adherence to supervised exercise in lymphoma patients participating in a randomized controlled trial.
Annals of Behavioral Medicine, 40, 30-39.
Didarloo, A. R., et al. (2012). Prediction of Self-Management Behavior among Iranian Women with Type 2 Diabetes: Application of the Theory
of Reasoned Action along with Self-Efficacy (ETRA). Iranian Red Crescent Medical Journal, 14, 86-95.
Gatt, S., & Sammut, R. (2008). An exploratory study of predictors of self-care behaviour in persons with type 2 diabetes. International Journal
of Nursing Studies, 45, 1525-1533.
Godin, G., & Shephard, R. J. (1985). A simple method to assess exercise behavior in the community. Canadian Journal of Applied Sport
Sciences. Journal Canadien des Sciences Appliquees Au Sport, 10, 141-146.
Gucciardi, E., et al. (2007). Assessment of two culturally competent diabetes education methods: individual versus individual plus group
education in Canadian Portuguese adults with type 2 diabetes. Ethnicity and Health, 12, 163-187.
Hebert, E. A., et al. (2010). Attrition and adherence in the online treatment of chronic insomnia. Behavioral Sleep Medicine, 8, 141-150.
Horne, R., & Weinman, J. (1999). Patients' beliefs about prescribed medicines and their role in adherence to treatment in chronic physical
illness. Journal of Psychosomatic Research, 47, 555-567.
Hunt, H. R., & Gross, A. M. (2009). Prediction of exercise in patients across various stages of bariatric surgery: a comparison of the merits of
the theory of reasoned action versus the theory of planned behavior. Behavior Modification, 33, 795-817.
Jeon, S. Y., & Lee, S. G. (2006). The effect of changes in attitude and subjective norm on treatment compliance in hypertension patients. Journal
of Applied Biobehavioral Research, 11, 265-287.
Klaghofer, R., et al. (2008). Questionnaire on emotional response after organ transplantation: German validation of the Transplant Effect
Questionnaire (TxEQ-D). Zeitschrift Für Psychosomatische Medizin Und Psychotherapie, 54, 174.
Kneckt, M. C., et al. (1999). Locus of control beliefs predicting oral and diabetes health behavior and health status. Acta Odontologica, 57, 127131.
Leffler, D. A., et al. (2009). A simple validated gluten-free diet adherence survey for adults with celiac disease. Clinical Gastroenterology and
Hepatology, 7, 530-536.
Manning, M., & Bettencourt, B. A. (2011). Depression and medication adherence among breast cancer survivors: bridging the gap with the
theory of planned behaviour. Psychology and Health, 26, 1173-1187.
Miller, P., et al. (1982). Health beliefs of and adherence to the medical regimen by patients with ischemic heart disease. Heart and Lung, 11,
332-339.
Miller, P., et al. (1992). Fishbein's Model of Reasoned Action and compliance behavior of hypertensive patients. Nursing Research, 41, 104-106.
Morisky, D. E., et al. (1986). Concurrent and Predictive Validity of a Self-Reported Measure of Medication Adherence. Medical Care, 24, 6774.
Quine, L., et al. (2012). Adherence to anti-hypertensive medication: Proposing and testing a conceptual model. British Journal of Health
Psychology, 17, 202-219.
Saal, W., & Kagee, A. (2012). The applicability of the Theory of Planned Behaviour in predicting adherence to ART among a South African
sample. Journal of Health Psychology, 17, 362-370.
Sainsbury, K., & Mullan, B. (2011). Measuring beliefs about gluten free diet adherence in adult coeliac disease using the theory of planned
behaviour. Appetite, 56, 476-483.
Sainsbury, K., et al. (2013). Gluten free diet adherence in coeliac disease. The role of psychological symptoms in bridging the intention–
behaviour gap. Appetite, 61, 52-58.
Scholz, U., et al. (2012). Predicting intentions and adherence behavior in the context of organ transplantation: Gender differences of provided
social support. Journal of Psychosomatic Research, 72, 214-219.
Sniehotta, F. F., et al. (2010). Adoption of community-based cardiac rehabilitation programs and physical activity following phase III cardiac
rehabilitation in Scotland: A prospective and predictive study. Psychology and Health, 25, 839-854.
Syrjala, A. M. H., et al. (2002). The theory of reasoned action in describing tooth brushing, dental caries and diabetes adherence among diabetic
patients. Journal of Clinical Periodontology, 29, 427-432.
Toobert, D. J., et al. (2000). The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care, 23
943-950.
Vissman, A. T., et al. (2013). Correlates of HAART adherence among immigrant Latinos in the Southeastern United States. AIDS Care, 25, 356363.
World Health Organization. (2000). Obesity: preventing and managing the global epidemic. Report of a WHO consultation. WHO Technical
Report Series, 894.
Download