A replicable model for achieving over 90% follow-up rates in longitudinal studies of substance abusers
- PMID: 15072804
- PMCID: PMC5937263
- DOI: 10.1016/j.drugalcdep.2003.11.007
A replicable model for achieving over 90% follow-up rates in longitudinal studies of substance abusers
Abstract
The goals of this paper were to: (a) discuss the interface between dominant behavioral patterns of substance users and the development of a follow-up management model, (b) describe the components of the model, (c) present data regarding its effectiveness, (d) estimate the number of contacts for various follow-up rates, (e) explore the generalizability of the model across sub samples, and (f) present client outcome data that underscore the potential negative impact of low follow-up rates. The model has been used to follow-up over 12,000 research participants yielding over a 95% follow-up rate across seven studies (with over 90% completed within +/-14 days of their anniversary date). Using data from two of these studies (n = 2010, n = 632), 22 contacts or less captured 70% of the participants while 33 or 38 contacts or less captured 90% in the first and second studies, respectively. When outcome variables were compared based on 70% versus 90% follow-up, the results varied by study and within study. An examination of the effect of attrition on validity in these two samples demonstrated that even the traditionally acceptable 30% level of attrition can result in significant bias and that the nature of the bias is unpredictable.
Figures
References
-
- Anglin MD, Danlia B, Ryan R, Mantius K. Staying in Touch: A Fieldwork Manual of Tracking Procedures for Locating Substance Abusers for Follow-up Studies. National Evaluation Data and Technical Assistance Center; Rockville, MD: 1996.
-
- Anglin MD, Hser Y, Booth M. Sex differences in addiction careers 4 Treatment. Am J Drug Alcohol Abuse. 1987;13(3):253–280. - PubMed
-
- Bale RN, Arnoldussen BH, Quittner AM. Follow-up difficulty with substance abusers: predictors of time to locate and relationship to outcome. Int J Addict. 1984;19(8):885–902. - PubMed
-
- Biglan A, Hood D, Brozovsky P, Ochs L, Ary D, Black C. Subject attrition in prevention research. In: Leukefeld CB, Bukoski WJ, editors. Drug Abuse Prevention Intervention Research: Methodological Issues. NIDA Research Monograph No. 107 National Institute on Drug Abuse; Rockville, MD: 1991. pp. 213–234. - PubMed
-
- Boice JD. Follow-up methods to trace women treated for pulmonary tuberculosis. Am J Epidemiol. 1978;107:127–139. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
