Evidence map›Paper›PMID 24692631›Full record

ArticleJournal of epidemiology and community health2014

Spatial, temporal and relational patterns in respondent-driven sampling: evidence from a social network study of rural drug users.

April M Young, Abby E Rudolph, Deane Quillen, Jennifer R Havens

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Motivation to Change and Treatment Participation Among Syringe Service Program Utilizers in Rural Kentucky.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2020
    Article
  18. Review
  19. Using Network and Spatial Data to Better Target Overdose Prevention Strategies in Rural Appalachia.Journal of urban health : bulletin of the New York Academy of Medicine · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

April M YoungDepartment of Epidemiology, University of Kentucky, Lexington, Kentucky, USA Department of Behavioral Science, Center on Drug and Alcohol Research, University of Kentucky, Lexington, Kentucky, USA.
Abby E RudolphThe Calverton Center, Pacific Institute for Research and Evaluation, Calverton, Maryland, USA.
Deane QuillenDivision of General Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jennifer R HavensDepartment of Behavioral Science, Center on Drug and Alcohol Research, University of Kentucky, Lexington, Kentucky, USA.

Funding

Social networks and HIV risk among rural drug usersR01DA024598 · NIDA · UNIVERSITY OF KENTUCKY · PI HAVENS, JENNIFER R · 2008 to 2012
$2.6M
HIV and Substance Abuse Epidemiology among IDUs: Structural and Network Risk FactK01DA033879 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RUDOLPH, ABBY ELISE · 2012 to 2016
$877k
NIDA NIH HHS K01 DA033879NIDA NIH HHS K01DA033879NIDA NIH HHS R01 DA024598NIDA NIH HHS R01DA024598
6 · The paper itself

Abstract

backgroundRespondent-driven sampling (RDS) has become a common tool for recruiting high-risk populations for HIV research. However, few studies have explored the influence of geospatial proximity and relationship-level characteristics on RDS recruitment, particularly among high-risk individuals residing in rural areas of the US.

methodsIn a social network study of 503 drug users in rural Central Appalachia, interviewer-administered questionnaires were used to collect relationship-level data (eg, duration of relationship, frequency of communication, kinship, social/financial support, trust, drug use and sex) and residential location. Demographic and drug-use similarity were also evaluated. Residential data were geocoded and road distance (km) between participants and (1) their network members and (2) the study site were computed. Seasonal patterns were assessed using node-level analysis, and dyadic analyses were conducted using generalised linear mixed models. Adjusted ORs (AORs) and 95% CIs are reported.

resultsDifferences in distance to the study office by season and order of study entry were not observed (F=1.49, p=0.209 and β=0.074, p=0.050, respectively). Participants with transportation lived significantly further from the interview site than their counterparts (p<0.001). Dyadic analyses revealed no association between RDS recruitment likelihood and geographic proximity. However, kinship (AOR 1.62; CI 1.02 to 2.58) and frequency of communication (AOR 1.63; CI 1.25 to 2.13) were significantly associated with RDS recruitment.

conclusionsIn this sample, recruitment from one's network was likely non-random, contradicting a core RDS assumption. These data underscore the importance of formative research to elucidate potential recruitment preferences and of quantifying recruitment preferences for use in analysis.

Indexed as

Patient SelectionRural PopulationSocial SupportSubstance Abuse, IntravenousAdolescentAdultAgedAppalachian RegionEpidemiologic Research DesignFemaleHepatitis CHIV InfectionsHumansInterpersonal RelationsMaleMiddle AgedEpidemiological methodsHIVResearch Design in EpidemiologySEXUALLY TRANS DISSPATIAL ANALYSIS

Identifiers

PMID24692631
PMCPMC4410836

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.