Literature DB >> 15330123

Using administrative healthcare data to recruit study subjects: experience with 'camouflaged sampling'.

Larry D Lynd1, Leanne D Warren, Malcolm Maclure, Peter D Paré, Aslam H Anis.   

Abstract

PURPOSE: To recruit a sample of asthmatics heterogeneous for short-acting (SA) beta-agonist use while protecting their privacy, and to compare participants recruited via 'camouflaged sampling' to those recruited through media advertising.
METHODS: Direct and indirect patient contact using camouflaged sampling was used to recruit a stratified random sample of asthmatics, identified based on their receipt of a prescription for a SA beta-agonist. Volunteers were recruited through media advertising. Recruitment rates were determined for both indirect and direct patient contact, and sampled participants were compared to volunteers recruited through media advertising for differences in SA beta-agonist use, demographic socioeconomic factors, and pulmonary function.
RESULTS: 109 and 93 participants were recruited through camouflaged sampling and media advertising, respectively. Direct and indirect patient contact resulted in recruitment rates of 5 and 9%, respectively. Sampled participants were more heterogeneous for SA beta-agonist use, older, more likely to smoke or receive social assistance, and of lower socioeconomic status (SES) than volunteers. There was no difference in the association between SES and the magnitude of SA beta-agonist use between recruiting methods.
CONCLUSIONS: Although recruitment rates were lower than anticipated, camouflaged sampling facilitated stratified sampling of a targeted population and resulted in a more heterogeneous sample while protecting patient privacy.

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Year:  2004        PMID: 15330123     DOI: 10.1023/b:ejep.0000032369.60873.60

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  15 in total

1.  On revealing what we'd rather hide: the problem of describing study participation.

Authors:  Dale P Sandler
Journal:  Epidemiology       Date:  2002-03       Impact factor: 4.822

2.  The predictive value of asthma medications to identify individuals with asthma--a study in German general practices.

Authors:  W Himmel; E Hummers-Pradier; H Schümann; M M Kochen
Journal:  Br J Gen Pract       Date:  2001-11       Impact factor: 5.386

3.  Recruitment of American Indians in epidemiologic research: the Strong Heart Study.

Authors:  M L Stoddart; B Jarvis; B Blake; R R Fabsitz; B V Howard; E T Lee; T K Welty
Journal:  Am Indian Alsk Native Ment Health Res       Date:  2000

4.  Analysis of selection bias in a case-control study of renal adenocarcinoma.

Authors:  M Maclure; S Hankinson
Journal:  Epidemiology       Date:  1990-11       Impact factor: 4.822

Review 5.  Canadian Asthma Consensus Report, 1999. Canadian Asthma Consensus Group.

Authors:  L P Boulet; A Becker; D Bérubé; R Beveridge; P Ernst
Journal:  CMAJ       Date:  1999-11-30       Impact factor: 8.262

6.  Patterns of increasing beta-agonist use and the risk of fatal or near-fatal asthma.

Authors:  S Suissa; L Blais; P Ernst
Journal:  Eur Respir J       Date:  1994-09       Impact factor: 16.671

7.  Double trouble: impact of inappropriate use of asthma medication on the use of health care resources.

Authors:  A H Anis; L D Lynd; X H Wang; G King; J J Spinelli; M Fitzgerald; T Bai; P Paré
Journal:  CMAJ       Date:  2001-03-06       Impact factor: 8.262

8.  Recruitment experience in the first phase of the African American Hereditary Prostate Cancer (AAHPC) study.

Authors:  C Royal; A Baffoe-Bonnie; R Kittles; I Powell; J Bennett; G Hoke; C Pettaway; S Weinrich; S Vijayakumar; C Ahaghotu; T Mason; E Johnson; M Obeikwe; C Simpson; R Mejia; W Boykin; P Roberson; J Frost; L Faison-Smith; C Meegan; N Foster; P Furbert-Harris; J Carpten; J Bailey-Wilson; J Trent; K Berg; G Dunston; F Collins
Journal:  Ann Epidemiol       Date:  2000-11       Impact factor: 3.797

9.  Studies on natural recovery from alcohol dependence: sample selection bias by media solicitation?

Authors:  H J Rumpf; G Bischof; U Hapke; C Meyer; U John
Journal:  Addiction       Date:  2000-05       Impact factor: 6.526

10.  A cohort analysis of excess mortality in asthma and the use of inhaled beta-agonists.

Authors:  S Suissa; P Ernst; J F Boivin; R I Horwitz; B Habbick; D Cockroft; L Blais; M McNutt; A S Buist; W O Spitzer
Journal:  Am J Respir Crit Care Med       Date:  1994-03       Impact factor: 21.405

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