Effectiveness of Respondent-Driven Sampling for Conducting Health Studies Among Undocumented Immigrants at a Time of Heightened Immigration Enforcement.
Health
Immigration
Latinx
Methodology
Undocumented
Journal
Journal of immigrant and minority health
ISSN: 1557-1920
Titre abrégé: J Immigr Minor Health
Pays: United States
ID NLM: 101256527
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
accepted:
15
10
2020
pubmed:
3
11
2020
medline:
21
1
2022
entrez:
2
11
2020
Statut:
ppublish
Résumé
This paper assessed the effectiveness of Respondent Driven Sampling (RDS) in recruiting undocumented Latinx immigrants for a prevalence health study at a time of heightened immigration enforcement. RDS was used to collect and analyze data from clinical interviews with 254 undocumented Latinx immigrant adults, enabling inference to a population of 22,000. 45% of the sample reported having a chronic medical condition. The desired sample size was achieved and exceeded with three initial recruits and 10 waves of recruitment across 9 weeks. There was substantial cross-group mixing for recruitment in terms of sex and recency of immigration, which facilitated the emergence of diversity within recruitment chains. Primary factors that contributed to effective recruitment were location, flexibility, on-site childcare, and detailed explanation of the recruitment process. RDS is an effective recruitment method to study the health of undocumented Latinx immigrants, which is essential to informing intervention and policy.
Identifiants
pubmed: 33136244
doi: 10.1007/s10903-020-01112-4
pii: 10.1007/s10903-020-01112-4
pmc: PMC8088441
mid: NIHMS1643335
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
102-110Subventions
Organisme : NHLBI NIH HHS
ID : K01 HL150247
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01HL150247
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01HL150247
Pays : United States
Informations de copyright
© 2020. Springer Science+Business Media, LLC, part of Springer Nature.
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