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Feasibility of using respondent-driven sampling to recruit participants in superdiverse neighbourhoods for a general health survey

Author

Listed:
  • Florence Samkange-Zeeb

    (Leibniz Institute for Prevention Research and Epidemiology – BIPS)

  • Ronja Foraita

    (Leibniz Institute for Prevention Research and Epidemiology – BIPS)

  • Stefan Rach

    (Leibniz Institute for Prevention Research and Epidemiology – BIPS)

  • Tilman Brand

    (Leibniz Institute for Prevention Research and Epidemiology – BIPS)

Abstract

Objectives 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). Methods 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. Results 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). Conclusions 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.

Suggested Citation

  • Florence Samkange-Zeeb & Ronja Foraita & Stefan Rach & Tilman Brand, 2019. "Feasibility of using respondent-driven sampling to recruit participants in superdiverse neighbourhoods for a general health survey," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(3), pages 451-459, April.
    • Handle: RePEc:spr:ijphth:v:64:y:2019:i:3:d:10.1007_s00038-018-1191-6
    DOI: 10.1007/s00038-018-1191-6
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    References listed on IDEAS

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    1. Gile, Krista J., 2011. "Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 135-146.
    2. Tom Frere-Smith & Renee Luthra & Lucinda Platt, 2014. "Sampling Recently Arrived Immigrants in the UK: Exploring the effectiveness of Respondent Driven Sampling," RF Berlin - CReAM Discussion Paper Series 1432, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    3. George, S. & Duran, N. & Norris, K., 2014. "A systematic review of barriers and facilitators to minority research participation among African Americans, Latinos, Asian Americans, and Pacific Islanders," American Journal of Public Health, American Public Health Association, vol. 104(2), pages 16-31.
    4. Reichl Luthra, Renee & Platt, Lucinda & Frere-Smith, Tom, 2014. "Sampling recently arrived immigrants in the UK: exploring the effectiveness of Respondent Driven Sampling," ISER Working Paper Series 2014-25, Institute for Social and Economic Research.
    5. Lucinda Platt & Renee Luthra & Tom Frere-Smith, 2015. "Adapting chain referral methods to sample new migrants," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(24), pages 665-700.
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    1. Carmen Koschollek & Katja Kajikhina & Susanne Bartig & Marie-Luise Zeisler & Patrick Schmich & Antje Gößwald & Alexander Rommel & Thomas Ziese & Claudia Hövener, 2022. "Results and Strategies for a Diversity-Oriented Public Health Monitoring in Germany," IJERPH, MDPI, vol. 19(2), pages 1-18, January.

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