Literature DB >> 33448935

Applications and Recruitment Performance of Web-Based Respondent-Driven Sampling: Scoping Review.

Yannick B Helms1,2, Nora Hamdiui1,3, Mirjam E E Kretzschmar2, Luis E C Rocha4, Jim E van Steenbergen1,5, Linus Bengtsson6, Anna Thorson7, Aura Timen1,8, Mart L Stein1.   

Abstract

BACKGROUND: Web-based respondent-driven sampling is a novel sampling method for the recruitment of participants for generating population estimates, studying social network characteristics, and delivering health interventions. However, the application, barriers and facilitators, and recruitment performance of web-based respondent-driven sampling have not yet been systematically investigated.
OBJECTIVE: Our objectives were to provide an overview of published research using web-based respondent-driven sampling and to investigate factors related to the recruitment performance of web-based respondent-driven sampling.
METHODS: We conducted a scoping review on web-based respondent-driven sampling studies published between 2000 and 2019. We used the process evaluation of complex interventions framework to gain insights into how web-based respondent-driven sampling was implemented, what mechanisms of impact drove recruitment, what the role of context was in the study, and how these components together influenced the recruitment performance of web-based respondent-driven sampling.
RESULTS: We included 18 studies from 8 countries (high- and low-middle income countries), in which web-based respondent-driven sampling was used for making population estimates (n=12), studying social network characteristics (n=3), and delivering health-related interventions (n=3). Studies used web-based respondent-driven sampling to recruit between 19 and 3448 participants from a variety of target populations. Studies differed greatly in the number of seeds recruited, the proportion of successfully recruiting participants, the number of recruitment waves, the type of incentives offered to participants, and the duration of data collection. Studies that recruited relatively more seeds, through online platforms, and with less rigorous selection procedures reported relatively low percentages of successfully recruiting seeds. Studies that did not offer at least one guaranteed material incentive reported relatively fewer waves and lower percentages of successfully recruiting participants. The time of data collection was shortest in studies with university students.
CONCLUSIONS: Web-based respondent-driven sampling can be successfully applied to recruit individuals for making population estimates, studying social network characteristics, and delivering health interventions. In general, seed and peer recruitment may be enhanced by rigorously selecting and motivating seeds, offering at least one guaranteed material incentive, and facilitating adequate recruitment options regarding the target population's online connectedness and communication behavior. Potential trade-offs should be taken into account when implementing web-based respondent-driven sampling, such as having less opportunities to implement rigorous seed selection procedures when recruiting many seeds, as well as issues around online rather than physical participation, such as the risk of cheaters participating repeatedly. ©Yannick B Helms, Nora Hamdiui, Mirjam E E Kretzschmar, Luis E C Rocha, Jim E van Steenbergen, Linus Bengtsson, Anna Thorson, Aura Timen, Mart L Stein. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.01.2021.

Entities:  

Keywords:  hard-to-reach populations; interventions; online sampling; probabilistic sampling; public health; research methodology; respondent-driven sampling; webRDS

Mesh:

Year:  2021        PMID: 33448935      PMCID: PMC7846441          DOI: 10.2196/17564

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  28 in total

1.  SNOWBALL VERSUS RESPONDENT-DRIVEN SAMPLING.

Authors:  Douglas D Heckathorn
Journal:  Sociol Methodol       Date:  2011-08-01

Review 2.  Network interventions.

Authors:  Thomas W Valente
Journal:  Science       Date:  2012-07-06       Impact factor: 47.728

Review 3.  Review of sampling hard-to-reach and hidden populations for HIV surveillance.

Authors:  Robert Magnani; Keith Sabin; Tobi Saidel; Douglas Heckathorn
Journal:  AIDS       Date:  2005-05       Impact factor: 4.177

4.  Enhancing Syndromic Surveillance With Online Respondent-Driven Detection.

Authors:  Mart L Stein; Jim E van Steenbergen; Vincent Buskens; Peter G M van der Heijden; Carl E Koppeschaar; Linus Bengtsson; Anna Thorson; Mirjam E E Kretzschmar
Journal:  Am J Public Health       Date:  2015-06-11       Impact factor: 9.308

5.  Using Facebook to Recruit Parents to Participate in a Family Program to Prevent Teen Drug Use.

Authors:  Sabrina Oesterle; Marina Epstein; Kevin P Haggerty; Megan A Moreno
Journal:  Prev Sci       Date:  2018-05

6.  Comparison of contact patterns relevant for transmission of respiratory pathogens in Thailand and The Netherlands using respondent-driven sampling.

Authors:  Mart L Stein; Jim E van Steenbergen; Vincent Buskens; Peter G M van der Heijden; Charnchudhi Chanyasanha; Mathuros Tipayamongkholgul; Anna E Thorson; Linus Bengtsson; Xin Lu; Mirjam E E Kretzschmar
Journal:  PLoS One       Date:  2014-11-25       Impact factor: 3.240

7.  Respondent driven sampling of wheelchair users: A lack of traction?

Authors:  John A Bourke; Philip J Schluter; E Jean C Hay-Smith; Deborah L Snell
Journal:  F1000Res       Date:  2016-04-26

Review 8.  A Systematic Review of Published Respondent-Driven Sampling Surveys Collecting Behavioral and Biologic Data.

Authors:  Lisa G Johnston; Avi J Hakim; Samantha Dittrich; Janet Burnett; Evelyn Kim; Richard G White
Journal:  AIDS Behav       Date:  2016-08

9.  Share2Quit: Online Social Network Peer Marketing of Tobacco Cessation Systems.

Authors:  Rajani S Sadasivam; Sarah L Cutrona; Tana M Luger; Erik Volz; Rebecca Kinney; Sowmya R Rao; Jeroan J Allison; Thomas K Houston
Journal:  Nicotine Tob Res       Date:  2017-03-01       Impact factor: 4.244

10.  Potential and Challenges in Collecting Social and Behavioral Data on Adolescent Alcohol Norms: Comparing Respondent-Driven Sampling and Web-Based Respondent-Driven Sampling.

Authors:  Janina Hildebrand; Sharyn Burns; Yun Zhao; Roanna Lobo; Peter Howat; Steve Allsop; Bruce Maycock
Journal:  J Med Internet Res       Date:  2015-12-24       Impact factor: 5.428

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