Evidence map›Paper›PMID 21885213›Full record

ArticleDrug and alcohol dependence2012

Respondent-driven sampling to recruit young adult non-medical users of pharmaceutical opioids: problems and solutions.

Raminta Daniulaityte, Russel Falck, Linna Li, Ramzi W Nahhas, Robert G Carlson

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Raminta DaniulaityteCenter for Interventions, Treatment, and Addiction Research, Department of Community Health, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, United States. raminta.daniulaityte@wright.edu
Russel Falck
Linna Li
Ramzi W Nahhas
Robert G Carlson
Wright State University · US

Funding

Opioid Use Trajectories and HIV Risk among Young Adults in OhioR01DA023577 · NIDA · WRIGHT STATE UNIVERSITY · PI CARLSON, ROBERT GEOFFREY · 2008 to 2012
$3.1M
NIDA NIH HHS R01 DA023577NIDA NIH HHS R01DA023577
6 · The paper itself

Abstract

Respondent-driven sampling (RDS) has been promoted as a superior method in recruiting hard-to-reach and hidden populations. Although its application has expanded enormously, there remains a need for empirical data evaluating the performance of RDS in different settings. This study describes the application of RDS to recruit a community sample (N=396) of young adults (18-23 years old) into a natural history study of non-medical pharmaceutical opioid use. Since recruitment targeted non-dependent pharmaceutical opioid users, and applied other eligibility restrictions, several modifications had to be made to make RDS work with this narrowly defined target population. RDS recruitment was less efficient than expected, and produced greater numbers of African American recruits than anticipated. Although the sampling quota was met, sample analysis revealed a lack of equilibrium in terms of ethnic composition and very strong in-group recruitment tendencies among White and African American respondents. This study contributes potentially helpful insights into the strengths and limitations of using RDS which may benefit future studies.

Indexed as

Patient SelectionAdolescentFemaleHumansMaleOpioid-Related DisordersSampling StudiesUrban PopulationYoung Adult

Identifiers

PMID21885213
PMCPMC3256264
OpenAlexW2086033103

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.