{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Rudolph AE"],"funding":["NIDA NIH HHS","National Institute on Drug Abuse"],"pagination":["94"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11036624"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<h4>Background</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.<h4>Methods</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"],"journal":["BMC medical research methodology"],"pubmed_title":["Evaluation of respondent-driven sampling in seven studies of people who use drugs from rural populations: findings from the Rural Opioid Initiative."],"pmcid":["PMC11036624"],"funding_grant_id":["UG3DA044830","UH3 DA044798","UG3DA044822","K01 DA055130","UG3DA044823","UG3DA044798","UG3DA044831","UG3DA044826","U24DA048538","U24 DA048538","UG3 DA044798","UG3DA044829"],"pubmed_authors":["Pho MT","Korthuis PT","Miller WC","Westergaard RP","Stopka TJ","Tsui JI","Bobashev G","Friedmann PD","Whitney BM","Cooper HL","Crane HM","Brook D","Zule WA","Nance RM","Akhtar W","Jenkins WD","Seal DW","Delaney JAC","Go VF","Young AM","Rudolph AE","Frost SDW","Ruderman SA","Cook R"],"additional_accession":[]},"is_claimable":false,"name":"Evaluation of respondent-driven sampling in seven studies of people who use drugs from rural populations: findings from the Rural Opioid Initiative.","description":"<h4>Background</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.<h4>Methods</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","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Apr","modification":"2026-03-31T10:55:54.018Z","creation":"2025-08-31T03:05:19.503Z"},"accession":"S-EPMC11036624","cross_references":{"pubmed":["38654219"],"doi":["10.1186/s12874-024-02206-5"]}}