Estimating current injectors in Scotland and their drug-related death rate by sex, region and age-group via Bayesian capture-recapture methods

Ruth King, Sheila M. Bird, Gordon Hay and Sharon J. Hutchinson

Universities of St. Andrews, Strathclyde, Glasgow and Medical Research Council, Cambridge

Summary

Using Bayesian capture-recapture methods, we estimate current injectors in Scotland in 2003, and, thereby, injectors' drug-related death rates for the period 2003-5. Four different data sources are considered (Hepatitis C Virus (HCV) database, hospital admission, social enquiry reports, and drug misuse database reports by General Practices or Drug Treatment Agencies) which provide covariate information on sex, region (Greater Glasgow versus elsewhere in Scotland) and age-group (15-34 years and 35+ years). We quantified Scotland's current injectors in 2003 at 27,400 (95% highest probability density interval: 20,700 to 32,100) by incorporating underlying model uncertainty in terms of the possible interactions present between data sources and/or covariates. The posterior probability was 72% that Scotland had more current injectors in 2003 than in 2000. Detailed comparison with 2000 gave evidence of importantly changed numbers of current injectors for different covariate classes. In addition, and of particular social interest, is the estimation of injectors' drug-related death rates. Expert information was used to construct upper and lower bounds on the number of drug-related deaths pertaining to injectors, which were then used to provide bounds on injectors' drug-related death rates. Failure to incorporate expert information could result in over-estimation of drug-related death rates for subsections of injectors.

Keywords:

Bayesian approach; capture-recapture data; injecting drug users; prevalence; mortality rate.


Appeared as King, R., Bird, S. M., Hay, G. and Hutchinson, S. J. (2009) "Estimating current injectors in Scotland and their drug-related death rate by sex, region and age-group via Bayesian capture-recapture methods". Statistical Methods for Medical Research 18, 341-359