Estimating the size and dynamics of an injecting drug user population and implications for health service coverage: comparison of indirect prevalence estimation methods.
AIMS: (i) To compare indirect estimation methods to obtain mean injecting drug use (IDU) prevalence for a confined geographic location; and (ii) to use these estimates to calculate IDU and injection coverage of a medically supervised injecting facility. DESIGN: Multiple indirect prevalence estimatio...
| Publicado en: | Addiction Vol. 103; no. 10; pp. 1604 - 1614 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105696292&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105696292 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09652140 AIO jtl: Addiction issn: 09652140 maglogo: Y pubinfo: dt: Oct2008 vid: 103 iid: 10 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105696292 105696292 2010037824 10.1111/j.1360-0443.2008.02276.x NLM18638037 105696292 ppf: 1604 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Estimating the size and dynamics of an injecting drug user population and implications for health service coverage: comparison of indirect prevalence estimation methods. aug: au: Kimber J Hickman M Degenhardt L Coulson T van Beek I affil: Centre for Research on Drugs and Health Behaviour, London School of Hygiene and Tropical Medicine, London, UK sug: subj: Disease Surveillance Australia Substance Abuse, Intravenous Epidemiology Adolescence Adult Australia Cross Sectional Studies Data Analysis Software Descriptive Statistics Epidemiological Research Female Health Resource Utilization Male Middle Age Needle Exchange Programs Regression Substance Abuse, Intravenous Mortality Substance Use Rehabilitation Programs Human Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: AIMS: (i) To compare indirect estimation methods to obtain mean injecting drug use (IDU) prevalence for a confined geographic location; and (ii) to use these estimates to calculate IDU and injection coverage of a medically supervised injecting facility. DESIGN: Multiple indirect prevalence estimation methods. SETTING: Kings Cross, Sydney, Australia. PARTICIPANTS: IDUs residing in Kings Cross area postcodes recorded in surveillance data of the Sydney Medically Supervised Injecting Centre (MSIC) between November 2001 and October 2002. MEASUREMENTS: Two closed and one open capture-recapture (CRC) models (Poisson regression, truncated Poisson and Jolly-Seber, respectively) were fitted to the observed data. Multiplier estimates were derived from opioid overdose mortality data and a cross-sectional survey of needle and syringe programme attendees. MSIC client injection frequency and the number of needles and syringes distributed in the study area were used to estimate injection prevalence and injection coverage. FINDINGS: From three convergent estimates, the mean estimated size of the IDU population aged 15-54 years was 1103 (range 877-1288), yielding a population prevalence of 3.6% (2.9-4.3%). Mean IDU coverage was 70.7% (range 59.1-86.7%) and the mean adjusted injection coverage was 8.8% (range 7.3-10.8%). Approximately 11.3% of the total IDU population were estimated to be new entrants to the population per month. CONCLUSIONS: Credible local area IDU prevalence estimates using MSIC surveillance data were obtained. MSIC appears to achieve high coverage of the local IDU population, although only an estimated one in 10 injections occurs at MSIC. Future prevalence estimation efforts should incorporate open models to capture the dynamic nature of IDU populations. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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