<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Rudolph AE</submitter><funding>NIDA NIH HHS</funding><funding>National Institute on Drug Abuse</funding><pagination>94</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11036624</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>24(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Accurate prevalence estimates of drug use and its harms are important to characterize burden and develop interventions to reduce negative health outcomes and disparities. Lack of a sampling frame for marginalized/stigmatized populations, including persons who use drugs (PWUD) in rural settings, makes this challenging. Respondent-driven sampling (RDS) is frequently used to recruit PWUD. However, the validity of RDS-generated population-level prevalence estimates relies on assumptions that should be evaluated.&lt;h4>Methods&lt;/h4>RDS was used to recruit PWUD across seven Rural Opioid Initiative studies between 2018-2020. To evaluate RDS assumptions, we computed recruitment homophily and design effects, generated convergence and bottleneck plots, and tested for recruitment and d</pubmed_abstract><journal>BMC medical research methodology</journal><pubmed_title>Evaluation of respondent-driven sampling in seven studies of people who use drugs from rural populations: findings from the Rural Opioid Initiative.</pubmed_title><pmcid>PMC11036624</pmcid><funding_grant_id>UG3DA044830</funding_grant_id><funding_grant_id>UH3 DA044798</funding_grant_id><funding_grant_id>UG3DA044822</funding_grant_id><funding_grant_id>K01 DA055130</funding_grant_id><funding_grant_id>UG3DA044823</funding_grant_id><funding_grant_id>UG3DA044798</funding_grant_id><funding_grant_id>UG3DA044831</funding_grant_id><funding_grant_id>UG3DA044826</funding_grant_id><funding_grant_id>U24DA048538</funding_grant_id><funding_grant_id>U24 DA048538</funding_grant_id><funding_grant_id>UG3 DA044798</funding_grant_id><funding_grant_id>UG3DA044829</funding_grant_id><pubmed_authors>Pho MT</pubmed_authors><pubmed_authors>Korthuis PT</pubmed_authors><pubmed_authors>Miller WC</pubmed_authors><pubmed_authors>Westergaard RP</pubmed_authors><pubmed_authors>Stopka TJ</pubmed_authors><pubmed_authors>Tsui JI</pubmed_authors><pubmed_authors>Bobashev G</pubmed_authors><pubmed_authors>Friedmann PD</pubmed_authors><pubmed_authors>Whitney BM</pubmed_authors><pubmed_authors>Cooper HL</pubmed_authors><pubmed_authors>Crane HM</pubmed_authors><pubmed_authors>Brook D</pubmed_authors><pubmed_authors>Zule WA</pubmed_authors><pubmed_authors>Nance RM</pubmed_authors><pubmed_authors>Akhtar W</pubmed_authors><pubmed_authors>Jenkins WD</pubmed_authors><pubmed_authors>Seal DW</pubmed_authors><pubmed_authors>Delaney JAC</pubmed_authors><pubmed_authors>Go VF</pubmed_authors><pubmed_authors>Young AM</pubmed_authors><pubmed_authors>Rudolph AE</pubmed_authors><pubmed_authors>Frost SDW</pubmed_authors><pubmed_authors>Ruderman SA</pubmed_authors><pubmed_authors>Cook R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluation of respondent-driven sampling in seven studies of people who use drugs from rural populations: findings from the Rural Opioid Initiative.</name><description>&lt;h4>Background&lt;/h4>Accurate prevalence estimates of drug use and its harms are important to characterize burden and develop interventions to reduce negative health outcomes and disparities. Lack of a sampling frame for marginalized/stigmatized populations, including persons who use drugs (PWUD) in rural settings, makes this challenging. Respondent-driven sampling (RDS) is frequently used to recruit PWUD. However, the validity of RDS-generated population-level prevalence estimates relies on assumptions that should be evaluated.&lt;h4>Methods&lt;/h4>RDS was used to recruit PWUD across seven Rural Opioid Initiative studies between 2018-2020. To evaluate RDS assumptions, we computed recruitment homophily and design effects, generated convergence and bottleneck plots, and tested for recruitment and d</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Apr</publication><modification>2026-03-31T10:55:54.018Z</modification><creation>2025-08-31T03:05:19.503Z</creation></dates><accession>S-EPMC11036624</accession><cross_references><pubmed>38654219</pubmed><doi>10.1186/s12874-024-02206-5</doi></cross_references></HashMap>