Literature DB >> 22456194

Differential profiles of crack users in respondent-driven and institutional samples: a three-site comparison.

Alberto Oteo Pérez1, Annemieke Benschop, Dirk J Korf.   

Abstract

BACKGROUND/AIM: Respondent-driven sampling (RDS) is increasingly applied in social epidemiological surveys among 'hidden populations' of hard drug users. The objective of the present study was to assess whether the profile of frequent crack users recruited through RDS differed from those surveyed in two random institutional samples, i.e. low-threshold opiate substitution treatment (ST) and user rooms (URs).
METHODS: A total of 1,039 crack users (mean age 45.1 ± 9.1 years; 81.5% males; 49.5% non-Western ethnicity) were interviewed in three Dutch cities, using each sampling strategy in each city. Characteristics of respondents in the three samples (per city and aggregated) were compared.
RESULTS: Crack users in the RDS sample were more likely to be younger and less likely to be poorly educated, have a long crack-using career (≥10 years), use opiates and attend ST than those in both of the other samples. The RDS and UR samples showed the most differences, with more female and Western crack users in the RDS group, and UR participants were more likely to have been arrested and to have entered inpatient drug treatment in the last year.
CONCLUSION: RDS resulted in a different profile of crack users. It is a valuable methodology to achieve a more diverse representation of crack-using populations than institutional random samples.
Copyright © 2012 S. Karger AG, Basel.

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Year:  2012        PMID: 22456194     DOI: 10.1159/000336118

Source DB:  PubMed          Journal:  Eur Addict Res        ISSN: 1022-6877            Impact factor:   3.015


  1 in total

1.  Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand.

Authors:  Piyaporn Wangroongsarb; Jimee Hwang; Julie Thwing; Samart Karuchit; Suthon Kumpetch; Alison Rand; Chris Drakeley; John R MacArthur; S Patrick Kachur; Wichai Satimai; Sylvia Meek; David M Sintasath
Journal:  PLoS One       Date:  2016-12-29       Impact factor: 3.240

  1 in total

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