Feasibility of using respondent-driven sampling to recruit participants in superdiverse neighbourhoods for a general health survey
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Respondent-driven sampling (RDS), a modified chain-referral system, has been proposed as a strategy for reaching ‘hidden’ populations. We applied RDS to assess its feasibility to recruit ‘hard-to-reach’ populations such as migrants and the unemployed in a general health survey and compared it to register-based sampling (RBS).
RDS was applied parallel to standard population RBS in two superdiverse neighbourhoods in Bremen, Germany. Prevalences of sample characteristics of interest were estimated in RDS Analyst using the successive sampling estimator. These were then compared between the samples.
Only 115 persons were recruited via RDS compared to 779 via RBS. The prevalence of (1) migrant background, (2) unemployment and (3) poverty risk was significantly higher in the RDS than in the RBS sample. The respective estimates were (1) 51.6 versus 32.5% (95% CIRDS 40.4–62.7), (2) 18.1 versus 7.5% (95% CIRDS 8.4–27.9) and (3) 55.0 versus 30.4% (95% CIRDS 41.3–68.7).
Although recruitment was difficult and the number of participants was small, RDS proved to be a feasible method for reaching migrants and other disadvantaged persons in our study.
KeywordsRespondent-driven sampling Feasibility Superdiverse Hard-to-reach Migrants
We would like to thank the Field Work Unit at the BIPS, all interviewers and other project staff as well as our cooperation partners in the two neighbourhoods for their support during the preparation and conduction of the study.
The UPWEB project was funded by NORFACE (Grant No. 462-14-091), and the respondent-driven sampling arm was financed through internal funding of the Leibniz Institute for Prevention Research and Epidemiology—BIPS.
Compliance with ethical standards
Conflict of interest
All authors declare no conflict of interest.
Ethical approval was obtained from the University of Bremen ethics committee.
Informed consent was obtained from all individual participants included in the study.
- European Social Survey (2012) ESS Round 6 Source Questionnaire. Centre for Comparative Social Surveys, City University London, LondonGoogle Scholar
- Frere-Smith T, Luthra R, Platt L (2014) Sampling recently arrived immigrants in the UK: Exploring the effectiveness of respondent driven sampling. CreAM Discussion Paper Series. London, UK, Center for Research and Analysis of Migration. CPS 32/14Google Scholar
- Handcock MS, Fellows IE, Gile KJ (2014) RDS Analyst: software for the analysis of respondent-driven sampling data, Version 0.42. http://hpmrg.org. Accessed Jan 2018
- Johnston LG (2014) Sampling migrants: how respondent driven sampling works. In: Tydum G, Johnston LG (eds) Applying respondent driven sampling to migrant populations: lessons from the field. Palgrave Macmillan, Basingstoke, pp 9–16Google Scholar
- Johnston LG, Luthra R (2014) Analyzing data in RDS. In: Tydum G, Johnston LG (eds) Applying respondent driven sampling to migrant populations: lessons from the field. Palgrave Macmillan, Basingstoke, pp 84–99Google Scholar
- Johnston LG, Luthra L, Napierala J (2014) Measuring personal network size in RDS. In: Tydum G, Johnston LG (eds) Applying respondent driven sampling to migrant populations: lessons from the field. Palgrave Macmillan, Basingstoke, pp 27–36Google Scholar
- Kubal A, Shvab I, Wojtynska A (2014) Initiation of the RDS recruitment process: seed selection and role. In: Tyldum G, Johnston LG (eds) Applying respondent driven sampling to migrant populations: lessons from the field. Palgrave Macmillan, Basingstoke, pp 37–47Google Scholar
- Mühlau P, Kaliszewska M, Röder A (2011) Polonia in Dublin: preliminary report of survey findings. Dublin: Trinity College Dublin. https://www.tcd.ie/sociology/assets/pdf/PoloniainDublinReportI.pdf. Accessed Oct 2018
- Organisation for Economic Co-operation and Development (2011) Divided we stand: Why inequality keeps rising. OECD Publishing. https://doi.org/10.1787/9789264119536-en
- Pelikan JM, Röthlin F, Ganahl K (2014) Measuring comprehensive health literacy in general populations: validation of instrument, indices and scales of the HLS-EU study. In: 6th Annual Health Literacy Research Conference. Bethesda, Maryland, USAGoogle Scholar
- Phillimore J, Bradby H, Knecht M, Padilla B, Brand T, Cheung SY, Pemberton S, Zeeb H (2015) Understanding healthcare practices in superdiverse neighbourhoods and developing the concept of welfare bricolage: protocol of a cross-national mixed-methods study. BMC Int Health Hum Rights 15:16CrossRefPubMedPubMedCentralGoogle Scholar
- Reineke A, Pigeot I, Ahrens W, Rach S (2018) MODYS—a modular control and documentation system for epidemiological studies. In: Bammann K, Lissner L, Pigeot I, Ahrens W (eds) Instruments for health surveys in children and adoloscents. Springer Nature, Zürich, pp 25–45Google Scholar
- Reiss K, Dragano N, Ellert U, Fricke J, Greiser KH, Keil T, Krist L, Moebus S, Pundt N, Schlaud M, Yesil-Jurgens R, Zeeb H, Zimmermann H, Razum O, Jockel KH, Becher H (2014) Comparing sampling strategies to recruit migrants for an epidemiological study. Results from a German feasibility study. Eur J Public Health 24(5):721–726CrossRefPubMedGoogle Scholar
- Senatorin für Arbeit, Frauen, Gesundheit, Jugend und Soziales (2009) Lebenslagen in Bremen: Armuts- und Reichtumsbericht für das Land Bremen 2009. BremenGoogle Scholar
- Statistisches Landesamt Bremen (2015) Bremen Kleinräumig Infosystem. https://www.statistik.bremen.de/. Accessed Jan 2018
- Statistisches Landesamt Bremen (2016) Bremen Kleinräumig Infosystem. https://www.statistik.bremen.de/. Accessed Jan 2018
- Strathdee SA, Lozada R, Ojeda VD, Pollini RA, Brouwer KC, Vera A, Cornelius W, Nguyen L, Magis-Rodriguez C, Patterson TL, El Proyecto C (2008) Differential effects of migration and deportation on HIV infection among male and female injection drug users in Tijuana, Mexico. PLoS ONE 3(7):e2690CrossRefPubMedPubMedCentralGoogle Scholar
- Tyldum G, Johnston LG (eds) (2014) Applying respondent driven sampling to migrant populations: lessons from the field. Palgrave Macmillan, BasingstokeGoogle Scholar
- United Nations (2016) International Migration Report 2015—Highlights. United Nations. ST/ESA/SER.A/375Google Scholar