Factors affecting the attrition of older people in longitudinal (health research) studies Anthea Tinker and Gill Mein on behalf of the team: Anthea Tinker, Gill Mein, Suneeta Bhamra, Richard Ashcroft, Clive Seale (and the late Janet Askham) Presentation of the findings of the research to the NatCen conference 23.3.09 The project Funded by Atlantic Philanthropies For 9 months from 1st March 2008 (extended until 30.12.08) Investigators from multidisciplinary backgrounds (disciplines include social policy, sociology, philosophy, nursing, social sciences, biomedical ethics) Rationale and research question The research question was: “What factors encourage older people to remain as participants, or discourages them from continuing to participate in health related longitudinal or panel studies?” Aims The main aim of the research was to provide guidance to research teams planning or carrying out surveys about ways of increasing retention of older participants and reducing drop out rates Some early issues What is a longitudinal study? How far back should the study go? We took current and completed studies within 20 years What ages should be taken into account? We have taken 55+ We have included only those that cover both men and women The use of proxies – some studies allow this and we have included studies where someone answered the questions on behalf of the respondent but not where the respondent was replaced by someone else. We included studies from the UK, Europe, North America and Australasia Methods 1 • Literature review • Questionnaires to other researchers 2 • Secondary analysis of existing data • Quantitative and qualitative 3 • Collection of new data • Focus groups and telephone interviews 1. Literature Review A review of existing qualitative and quantitative literature on the retention of older people in longitudinal studies that have met our criteria Factors where there is relatively clear evidence of the association with attrition Factors where there is no clear evidence about the relationship with attrition Reasons for drop-out in these studies How other longitudinal studies have tried to reduce dropout and retain older participants Literature review - Findings We found a larger number of studies than anticipated (45) Few studies mention attrition in publications. A meta analysis of attrition based on 12 studies of people aged 65 and over showed attrition was associated with being older, having poor functioning and cognitive impairment, living alone and not being married (Chatfield et al, 2005) However this study did not examine all the variables that we have and was limited to only 12 studies Literature review - Findings The following factors indicate that people are more likely to drop out of longitudinal studies if: They are older They are cognitively impaired They are from a lower socio-economic status They have fewer years of education They do not have children They are not retired They are less socially active e.g. clubs The relationship of the following with attrition is unclear: Gender Marital status Being in poor health Home ownership Literature review - findings Main reasons for drop-out: Too time consuming - contact is too frequent Questionnaires - difficult, intrusive, humiliating Medical Exams - tiring, dislike of blood samples and cognitive tests Drop-out can be reduced by: Personal gestures – b’day cards, letters from PI Feedback - on study progress and medical results Emphasising importance of study – media coverage Incentives? - small gifts, monetary Practical issues - home visits, transport to medicals Questionnaires to researchers of other longitudinal studies Questionnaires were sent to 38 studies which included both men and women together, identified from the literature review. 20 studies responded. Researchers were asked about identifying attrition, measuring attrition, and efforts to reduce attrition. Questionnaires to researchers on studies of older people - findings Studies differed. Across country, locality based, organisation based. All were aware of attrition. Very few had collected reasons for dropout. Few had published details. Attrition was measured in a variety of ways comparison with baseline, between waves, annually. Participation was described differently in most studies and terms used were: full, partially active, partially withdrawn, withdrawn, active, temporary refusal, and dead. Methods used by other studies to reduce attrition Information: newsletters, personal response to queries, meetings, results feedback, study website Incentives: fridge magnets, pens, money, calendars Contact: newsletters, information meetings, birthday cards, reminder telephone calls Efforts to reduce attrition: tracing lost participants, completing questionnaires online and a study website. Having local medical examinations. Use close relatives/proxies 2. Secondary analysis of existing data The Whitehall II study (the Stress and Health Study) of civil servants recruited from 20 London based departments in 1985, when participants were aged between 35-55 years The original group =10,308 people (a response rate of 73%) Participants self complete questionnaires (every two years) and medical examinations (every 5 years) There have been other sub studies e.g. an MRI scan, vascular sub study etc. Secondary analysis of existing data – Whitehall II Study The Whitehall II study was originally set up to investigate the social gradient in health. It has particularly looked at the relationship between stress, health and occupational grades PI is Professor Sir Michael Marmot at UCL. The Study uses newsletters to maintain contact and participation The Whitehall study: Ethical issues All the active participants in the Whitehall II study have given consent to being followed up. The process for contacting them, interviews etc have been approved by the UCL research ethics committee The PI is a participant in the Whitehall II study, she will not have access to the data of her fellow participants except in an anonymised manner (this has been declared to the relevant ethics committees) Secondary analysis of existing quantitative data Quantitative Analysis To see if we can determine what drop-out is related to and establish predictors of attrition (e.g. characteristics of respondents) The choice of variables was guided by the literature review and the variables available in the Whitehall II study data set We examined: age, gender, marital status, accommodation type, education level, employment grade, and longstanding illness (at baseline) A comparison of those who have stated they do not wish to take any further part in the study (excluding people who withdrew for other reasons e.g. death) with those who have continued to fully participate Summary of statistical findings Using Logistic regression we found attrition in the Whitehall II study is associated with: Having a lower occupational grade Being older Being female Being unmarried at baseline Engaging in fewer social activities at phase 5 Renting house from council or privately - unfurnished (rather than owning house or renting privately -furnished) Being less educated Secondary analysis of existing data Qualitative Analysis An analysis of the Whitehall II data base of comments from the views of participants who have dropped out of the study and their reasons for doing so Qualitative Analysis of existing Whitehall II Data - results For those who withdrew from the study and left comments, the most frequent reasons for dropping out were: Too busy/study takes up too much time Journey is too long/difficult Chronic ill health Being seen elsewhere e.g. GP No longer interested in study Retirement Relocation or travelling 3. The collection of new data Using the Whitehall II study participants, a small qualitative study to gather data about people’s experiences of, and views about, participating in longitudinal research. Data was collected through 3 focus groups and telephone interviews. Recruitment to focus groups 100 invitations given to participants attending the medical examination 35 responded 5 refused 30 agreed to take part in focus group or telephone interviews 19 attended focus groups /or were interviewed on the telephone Focus groups - results The transcriptions from the focus groups were coded and themes were identified and were put into categories of: Good and bad experiences of the study (medical and questionnaire) Motivating factors for continuing in the study Suggestions to make future participation easier Focus group results – good things Liked having a medical examination Liked explanation of some of the tests Impressed with the offer of home visits Liked flexible appt system Enjoyed meeting ex-colleagues Appreciates use of headphones for people who cannot hear Focus group results - bad things The memory questions in the medical examination made participants feel “stupid” “humiliated” Lack of understanding of reasons for doing measures Really disliked the questionnaire Found the questions repetitive, did not like having to chose between boxes to answer Lack of information about study Focus group results – Motivation for continuing with the study The most important factor was having a medical examination Loved the prestige of being recognised as part of the study, publicity, media “Giving something back” Enjoyed talking to friends/old colleagues after medical examination – boosted confidence as all the same Suggestions for the future from focus groups and telephone interviews (1). More information about themselves, in relation to previous phases, the average, the population, the study in general Information about the study. How the study benefits others. Public presentation from PI Increase the medical examination with popular tests e.g. PSA, eye checks, hearing tests Complete questionnaire online Have an online resource to answer participants queries Suggestions for the future from focus groups and telephone interviews (2) Would like to be sent a set of memory test questions to prepare beforehand! Would like questions to reflect retirement Reduce the length of the questionnaire Addressing travel and access to medical examinations Recommendations from the Whitehall study Foster loyalty to the study Invite people by departments Introduce popular tests e.g. PSA, hearing, eyes Give more information, individual, comparisons to average, to population. Pitch information between lay and scientific. Presentation by PI. Continue with, good refreshments, comfortable examination surroundings and continue to offer home visits Exit interview to record reasons for withdrawal Recommendations contd. Continue to be flexible about support of travel needs Examine ways of shortening the questionnaires Ask participants what would help them continue participating- more involvement in questionnaires/medical tests Conclusion Our major conclusion is that longitudinal studies are facing serious problems of drop out and are anxious to find ways of avoiding this Our contacts with other studies, including the Whitehall II study indicate their willingness to consider ways of retaining participants. We will be producing a short summary to be widely distributed of ways in which this might be achieved Further information Article reporting the literature review Quality in Ageing (Vol 9 issue 4 Dec 2008) anthea.tinker@kcl.ac.uk s.bhamra@natcen.ac.uk g.mein@sgul.kingston.ac.uk r.ashcroft@qmul.ac.uk c.seale@qmul.ac.uk