Estimating the prevalence of ex-injecting drug use in the population-Reference-Cited by-同舟云学术

Estimating the prevalence of ex-injecting drug use in the population

Published:2008-11-26 Issue:4 Volume:18 Page:381-395
ISSN:0962-2802
Container-title:Statistical Methods in Medical Research
language:en
Short-container-title:Stat Methods Med Res

Author:

Sweeting MJ¹,De Angelis D.²,Ades AE³,Hickman M.⁴

Affiliation:

1. MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge, CB2 0SR, UK,

2. MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge, CB2 0SR, UK, Health Protection Agency Centre for Infections, Statistics Unit, 61 Colindale Avenue, London NW9 5EQ, UK

3. MRC Health Services Research Collaboration, University of Bristol, Canynge Hall, Whiteladies Road, Bristol, BS8 2PR, UK

4. Department of Social Medicine, University of Bristol, Canynge Hall, Whiteladies Road, BS8 2SP, UK

Abstract

Injecting drug use is the main route of transmission for the hepatitis C virus in the developed world. Knowledge about the characteristics of the past and current injecting drug user (IDU) population is therefore vital in order to understand the epidemiology of hepatitis C. The IDU population is `hard to reach' and hence most epidemiological studies have concentrated on estimating current IDU prevalence, whilst little is known about the potentially large pool of ex-injectors. We demonstrate a method for estimating the proportion of ex-users in the population, by considering injecting drug use as a time-to-event process. We show how unbiased estimates of injecting duration and historical patterns in injecting initiation can be derived from a sample of ex-IDUs obtained from a population survey, and how such data lead to estimates of the proportion of ex-IDUs in the population. Finally, we show how to obtain estimates of the prevalence of ex-IDUs by using additional information on the prevalence of current IDUs.

Publisher

SAGE Publications

Subject

Health Information Management,Statistics and Probability,Epidemiology

Link

http://journals.sagepub.com/doi/pdf/10.1177/0962280208094704

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