Literature DB >> 33529239

Can respondent driven sampling be used to recruit new mothers? A mixed methods study in metropolitan Washington DC.

Rebecca F Carlin1,2, Benjamin Cornwell3, Jichuan Wang4,5, Yao Cheng4, Anita Mathews1, Rosalind P Oden1, Linda Y Fu1,2, Rachel Y Moon6.   

Abstract

BACKGROUND: Respondent driven sampling (RDS) is employed to recruit populations that are hard-to-reach, "hidden," or without a sampling frame. For new mothers (those with infants <6 months) in countries without national health care systems or registries, there is no sampling frame, and random samples may only be attained through costly strategies, e.g., random-dial calling.
OBJECTIVE: To assess the feasibility of RDS to recruit new mothers.
METHODS: In the initial study, we recruited 30 new mothers ("seeds") from a single birth hospital; each was given 3 referral coupons to give to other mothers ("referrals"). When our sample did not self-perpetuate with referrals, additional seeds were recruited. Demographics of seeds and referrals were compared. A subset of mothers participated in focus groups and were asked about their experience with RDS. We also conducted a second survey of new mothers to further assess feasibility of RDS in this population.
RESULTS: Of the 402 mothers recruited in the initial study, 305 were seeds and only 97 were referrals. Referrals were more likely to be White, highly educated, older, and privately insured (all p≤0.001). Focus group participants indicated that the time required to meet other mothers was an important barrier. In the second survey we recruited 201 mothers; only 53.7% knew ≥1 mother whom they could invite to the study.
CONCLUSIONS: New mothers are not easily recruited using RDS because they have a limited number of contacts who are also new mothers. Those recruited through RDS are more likely to be older, Caucasian and of high socioeconomic status, indicating it is not an effective way to recruit a representative sample of new mothers.

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Year:  2021        PMID: 33529239      PMCID: PMC7853470          DOI: 10.1371/journal.pone.0246373

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  19 in total

1.  Comparison of address-based sampling and random-digit dialing methods for recruiting young men as controls in a case-control study of testicular cancer susceptibility.

Authors:  Bartholt Clagett; Katherine L Nathanson; Stephanie L Ciosek; Monique McDermoth; David J Vaughn; Nandita Mitra; Andrew Weiss; Rachel Martonik; Peter A Kanetsky
Journal:  Am J Epidemiol       Date:  2013-09-05       Impact factor: 4.897

2.  SOCIAL NETWORK ANALYSIS WITH RESPONDENT-DRIVEN SAMPLING DATA: A STUDY OF RACIAL INTEGRATION ON CAMPUS.

Authors:  Cyprian Wejnert
Journal:  Soc Networks       Date:  2010-05-01

3.  Implications of Mothers' Social Networks for Risky Infant Sleep Practices.

Authors:  Rachel Y Moon; Rebecca F Carlin; Benjamin Cornwell; Anita Mathews; Rosalind P Oden; Yao I Cheng; Linda Y Fu; Jichuan Wang
Journal:  J Pediatr       Date:  2019-06-11       Impact factor: 4.406

4.  A Qualitative Analysis of How Mothers' Social Networks Are Established and Used to Make Infant Care Decisions.

Authors:  Rachel Y Moon; Anita Mathews; Rosalind Oden; Rebecca Carlin
Journal:  Clin Pediatr (Phila)       Date:  2019-04-25       Impact factor: 1.168

5.  From networks to populations: the development and application of respondent-driven sampling among IDUs and Latino gay men.

Authors:  Jesus Ramirez-Valles; Douglas D Heckathorn; Raquel Vázquez; Rafael M Diaz; Richard T Campbell
Journal:  AIDS Behav       Date:  2005-12

6.  AN EMPIRICAL TEST OF RESPONDENT-DRIVEN SAMPLING: POINT ESTIMATES, VARIANCE, DEGREE MEASURES, AND OUT-OF-EQUILIBRIUM DATA.

Authors:  Cyprian Wejnert
Journal:  Sociol Methodol       Date:  2009-08-01

7.  Innovative recruitment using online networks: lessons learned from an online study of alcohol and other drug use utilizing a web-based, respondent-driven sampling (webRDS) strategy.

Authors:  José A Bauermeister; Marc A Zimmerman; Michelle M Johns; Pietreck Glowacki; Sarah Stoddard; Erik Volz
Journal:  J Stud Alcohol Drugs       Date:  2012-09       Impact factor: 2.582

8.  Respondent-driven sampling as Markov chain Monte Carlo.

Authors:  Sharad Goel; Matthew J Salganik
Journal:  Stat Med       Date:  2009-07-30       Impact factor: 2.373

9.  Comparison of Infant Sleep Practices in African-American and US Hispanic Families: Implications for Sleep-Related Infant Death.

Authors:  Anita A Mathews; Brandi L Joyner; Rosalind P Oden; Ines Alamo; Rachel Y Moon
Journal:  J Immigr Minor Health       Date:  2015-06

10.  Predictors of inconsistent condom use among a hard to reach population of young women with multiple sexual partners in peri-urban South Africa.

Authors:  Yanga Z Zembe; Loraine Townsend; Anna Thorson; Anna Mia Ekström
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

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  1 in total

1.  Impact of Personal Social Network Types on Breastfeeding Practices in United States-Born Black and White Women.

Authors:  Rebecca F Carlin; Benjamin Cornwell; Anita Mathews; Jichuan Wang; Yao I Cheng; Xuewen Yan; Linda Y Fu; Rachel Y Moon
Journal:  Breastfeed Med       Date:  2021-05-18       Impact factor: 2.335

  1 in total

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