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Prevalence of injecting drug use in Estonia 2010–2015: a capture-recapture study

机译:爱沙尼亚2010-2015年注射毒品的使用率:一项捕获-再捕获研究

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It has been observed in an earlier study that the number of people who inject drugs (PWID) in Estonia is declining. We provide nationwide estimates of the number of PWID in Estonia for years 2010–2015 and compare different modelling strategies to minimise over-coverage-induced bias in capture-recapture estimates. We obtained data from the Estonian Causes of Death Registry (DR) for opioid-related deaths, the Estonian Health Insurance Fund (HIF) for opioid-related overdose and drug dependence treatment episodes, and the Estonian Police and Border Guard Board (PB) drug-related misdemeanours. Datasets were linked by identifier based on sex, date of birth, and initials; a capture-recapture method was used to estimate the number of PWID aged 15 or more, each year from 2010 to 2015. Log-linear regression maximum likelihood (ML) and Bayesian methods were used; over-coverage of police data was accounted for. The annual population size estimates of the number of PWID (aged 15 and over) varied from 6000 to 17,300 (ML estimates not accounting for over-coverage of PB) to 1500–2300 (Bayesian estimates accounting for over-coverage). Bayesian estimates indicated a slight decrease in the number of PWID, and the median estimates were ?2000 in years 2010–2012 and ?1800 in years 2013–2015. Over-coverage of a registry can have a great impact on the estimates of the size of the target population. Bayesian estimates accounting for this over-coverage may provide better estimates of the target population size.
机译:在较早的研究中已经观察到,爱沙尼亚的注射毒品(PWID)人数正在下降。我们提供了爱沙尼亚2010-2015年PWID数量的全国范围的估算,并比较了不同的建模策略,以最大程度地减少因过度覆盖引起的捕获-捕获估计偏差。我们从爱沙尼亚死因登记处(DR)获得了与阿片类药物相关的死亡数据,从爱沙尼亚健康保险基金(HIF)获得了与阿片类药物相关的药物过量和药物依赖性治疗事件的数据,以及爱沙尼亚警察和边防局(PB)的药物相关轻罪。数据集通过基于性别,出生日期和姓名缩写的标识符进行链接;从2010年到2015年,每年使用捕获-捕获方法估算年龄在15岁或15岁以上的PWID的数量。使用对数线性回归最大似然(ML)和贝叶斯方法。解决了警察数据的过度覆盖问题。对PWID(15岁及15岁以上)人数的年度人口规模估计值从6000到17,300(ML估计值不能解释PB的过度覆盖)到1500-2300(Bayesian估计值可以涵盖过度的覆盖)。贝叶斯估计表明,PWID的数量略有下降,中位数估计在2010–2012年期间> 2000,而在2013–2015年期间<1800。注册表的过度覆盖可能会对目标人口规模的估计产生重大影响。贝叶斯估计法可以解决这一过度覆盖问题,从而可以更好地估计目标人群的规模。

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