评估稀有非法精神活性物质使用情况的混合方法:案例研究

Q3 Mathematics Epidemiologic Methods Pub Date : 2021-01-01 DOI:10.1515/em-2020-0031
E. Janssen, Michael Vuolo, Clément Gérome, A. Cadet-Taïrou
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引用次数: 1

摘要

摘要本文介绍了原始的混合方法研究,以描述在法国使用罕见的非法精神活性物质,特别强调快克可卡因。我们首先引入一个独特的监测系统,致力于观察难以接触到的人群。定性研究结果依赖于长期的人种学研究和实地专业人员的知识,为估计快克可卡因使用者的数量提供指导。然后,我们依靠一组多层捕获-再捕获估计器,这是一种间接估计难以捉摸的种群大小的统计程序。由于先前的现场证据表明,快克可卡因使用者档案的多样性在增加,我们提供了一个异质性的度量来评估哪个估计器更适合数据。然后根据先前收集的信息对计算出的估计数进行严格审查和辩论。我们的研究结果揭示了个体和机构的异质性,并表明快克可卡因在法国的传播比最初想象的要早。我们的案例研究强调需要实地驱动的评估,以正确看待定量结果,这是制定有效卫生政策对策的必要步骤。
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Mixed methods to assess the use of rare illicit psychoactive substances: a case study
Abstract This article presents original mixed method research to describe the use of rare illicit psychoactive substances, with special emphasis on crack cocaine in France. We first introduce a unique monitoring system committed to the observation of hard-to-reach populations. Qualitative findings rely, among others, on perennial ethnographic studies and field professionals’ knowledge to provide guidance to estimate the number of crack cocaine users. We then rely on a set of multilevel capture-recapture estimators, a statistical procedure to indirectly estimate the size of elusive populations. Since prior field evidence suggests an increasing diversity in crack cocaine users’ profiles, we provide a measure of heterogeneity to assess which estimator better fits the data. The calculated estimates are then critically reviewed and debated in light of the previously gathered information. Our results uncover both individual and institutional heterogeneity and suggest that the spread of crack cocaine in France initiated earlier than originally thought. Our case study underlines the need for field-driven assessments to put quantitative results into perspective, a necessary step to tailor efficient health policy responses.
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来源期刊
Epidemiologic Methods
Epidemiologic Methods Mathematics-Applied Mathematics
CiteScore
2.10
自引率
0.00%
发文量
7
期刊介绍: Epidemiologic Methods (EM) seeks contributions comparable to those of the leading epidemiologic journals, but also invites papers that may be more technical or of greater length than what has traditionally been allowed by journals in epidemiology. Applications and examples with real data to illustrate methodology are strongly encouraged but not required. Topics. genetic epidemiology, infectious disease, pharmaco-epidemiology, ecologic studies, environmental exposures, screening, surveillance, social networks, comparative effectiveness, statistical modeling, causal inference, measurement error, study design, meta-analysis
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