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通过捕获再捕获法估算阿姆斯特丹阿片类药物使用者的数量:病例定义的重要性。

Estimating the number of opiate users in amsterdam by capture-recapture: the importance of case definition.

作者信息

Buster M C, van Brussel G H, van den Brink W

机构信息

Department of Epidemiology, Documentation and Health Promotion, Municipal Health Service Amsterdam, The Netherlands.

出版信息

Eur J Epidemiol. 2001;17(10):935-42. doi: 10.1023/a:1016256929862.

Abstract

One of the objectives of Amsterdam's methadone maintenance treatment is maximising its coverage among problematic opiate users. In order to evaluate what proportion is reached, the capture-recapture method is conducted to estimate the prevalence of problematic opiate use. Samples of opiate users in contact with police, hospital or treatment are used. The treatment sample is limited to the low threshold treatment sample (treatment with minimal requirements to the clients). Based on differences of log likelihood ratio, Akaike's and Bayesian information criteria, log linear models are selected. The size of the population of problematic opiate users in 1997 is estimated to be 4130 (95% confidence interval: 3753-4566). Within 3 months 50% was registered: 16% at the police, 2.5% at the hospital and 40% at treatment. This study shows that the Amsterdam methadone treatment programs succeed in reaching a high proportion of problematic opiate users. The estimation of the prevalence of problematic opiate users is considered to be valid. However, if, instead of the low threshold treatment, the total treatment sample had been used, the population of interest and the sampled population would not match correctly, and prevalence would have been overestimated.

摘要

阿姆斯特丹美沙酮维持治疗的目标之一是最大限度地扩大其在有问题阿片类药物使用者中的覆盖范围。为了评估覆盖的比例,采用捕获-再捕获方法来估计有问题阿片类药物使用的患病率。使用了与警方、医院或治疗机构有接触的阿片类药物使用者样本。治疗样本仅限于低门槛治疗样本(对患者要求最低的治疗)。基于对数似然比、赤池信息准则和贝叶斯信息准则的差异,选择对数线性模型。1997年有问题阿片类药物使用者的总体规模估计为4130人(95%置信区间:3753 - 4566)。在3个月内,50%的人进行了登记:16%在警方登记,2.5%在医院登记,40%在治疗机构登记。这项研究表明,阿姆斯特丹的美沙酮治疗项目成功覆盖了很大比例的有问题阿片类药物使用者。有问题阿片类药物使用者患病率的估计被认为是有效的。然而,如果使用的不是低门槛治疗样本,而是全部治疗样本,那么目标人群和抽样人群将无法正确匹配,患病率就会被高估。

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