Prevalence of opioid dependence in New South Wales, Australia, 2014-16: Indirect estimation from multiple data sources using a Bayesian approach

被引:9
作者
Downing, Beatrice C. [1 ]
Hickman, Matthew [1 ]
Jones, Nicola R. [2 ]
Larney, Sarah [2 ,3 ,4 ]
Sweeting, Michael J. [5 ]
Xu, Yixin [1 ]
Farrell, Michael [2 ]
Degenhardt, Louisa [2 ]
Jones, Hayley E. [1 ]
机构
[1] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, England
[2] Univ New South Wales, Natl Drug & Alcohol Res Ctr, Sydney, Australia
[3] Ctr Rech Ctr Hosp Univ Montreal, Montreal, PQ, Canada
[4] Univ Montreal, Dept Family Med & Emergency Med, Montreal, PQ, Canada
[5] Univ Leicester, Dept Hlth Sci, Leicester, England
基金
英国医学研究理事会;
关键词
Bayesian methods; evidence synthesis; indirect methods; opioid agonist treatment; population size estimation; prevalence estimation; CAPTURE-RECAPTURE METHODS; INJECTING DRUG-USE; HEPATITIS-C PREVALENCE; GLOBAL BURDEN; MORTALITY; RISK; METHADONE; DISEASE; ENGLAND; PEOPLE;
D O I
10.1111/add.16268
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
AimsTo estimate the prevalence of, and number of unobserved people with opioid dependence by sex and age group in New South Wales (NSW), Australia. DesignWe applied a Bayesian statistical modelling approach to opioid agonist treatment records linked to adverse event rate data. We estimated prevalence from three types of adverse event separately: opioid mortality, opioid-poisoning hospitalizations and opioid-related charges. We extended the model and produced prevalence estimates from a 'multi-source' model based on all three types of adverse event data. Setting, Participants and MeasurementsThis study was conducted in NSW, Australia, 2014-16 using data from the Opioid Agonist Treatment and Safety (OATS) study, which included all people who had received treatment for opioid dependence in NSW. Aggregate data were obtained on numbers of adverse events in NSW. Rates of each adverse event type within the OATS cohort were modelled. Population data were provided by State and Commonwealth agencies. FindingsPrevalence of opioid dependence among those aged 15-64 years in 2016 was estimated to be 0.96% (95% credible interval [CrI] = 0.82%, 1.12%) from the mortality model, 0.75% (95% CrI = 0.70%, 0.83%) from hospitalizations, 0.95% (95% CrI = 0.90%, 0.99%) from charges and 0.92% (95% CrI = 0.88%, 0.96%) from the multi-source model. Of the estimated 46 460 (95% CrI = 44 680, 48 410) people with opioid dependence in 2016 from the multi-source model, approximately one-third (16 750, 95% CrI = 14 960, 18 690) had no record of opioid agonist treatment within the last 4 years. From the multi-source model, prevalence in 2016 was estimated to be 1.24% (95% CrI = 1.18%, 1.31%) in men aged 15-44, 1.22% (95% CrI = 1.14%, 1.31%) in men 45-64, 0.63% (95% CrI = 0.59%, 0.68%) in women aged 15-44 and 0.56% (95% CrI = 0.50%, 0.63%) in women aged 45-64. ConclusionsA Bayesian statistical approach to estimate prevalence from multiple adverse event types simultaneously calculates that the estimated prevalence of opioid dependence in NSW, Australia in 2016 was 0.92%, higher than previous estimates.
引用
收藏
页码:1994 / 2006
页数:13
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