在押成人中精神疾病、物质使用障碍和双重诊断的患病率。

IF 2.5 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Darcy J Coulter, Lindsay A Pearce, Matthew Legge, Jesse T Young, David B Preen, Ed Heffernan, Jocelyn Jones, Stuart A Kinner
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引用次数: 0

摘要

背景:与社区相比,监狱中精神疾病、物质使用障碍及其双重诊断的患病率过高。需要准确的流行率估计,以便为监狱保健服务的资源提供信息,并减少遭受这些情况的人受到伤害的风险。现有的估计(如果有的话)往往只依赖于一个数据源。方法:我们使用三种数据来源——自我报告的诊断史、监狱医疗记录和行政数据来估计精神疾病、物质使用障碍和双重诊断在澳大利亚监狱中的两大队列非土著、土著和托雷斯海峡岛民中的患病率。我们计算了每种情况下样本的总体加权比例。内部可靠性度量通知数据源协议。结果:在被监禁的非土著成年人中,仅精神疾病、仅物质使用障碍和双重诊断的患病率分别为17.0% (95%CI 12.0-24.5)、14.8% (95%CI 9.6-18.1)和44.2% (95%CI 33.2-54.7)。对于被监禁的原住民和托雷斯海峡岛民成年人,我们相应的估计为7.0% (95%CI 4.3-11.5), 26.8% (95%CI 18.9-33.5)和40.9% (95%CI 30.1-48.2)。这些估计与从单一数据源得出的估计有很大不同。个体数据来源的一致性在物质使用障碍诊断中最弱,在双重诊断中最强。结论:单个数据来源可能具有高特异性和低敏感性,因此诊断不充分。我们建议使用多种数据来源来估计流行情况,以确保充分确定监狱服刑人员的这些情况,并确保为监狱内和过渡时期的卫生服务提供适当的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Prevalence of mental illness, substance use disorder, and dual diagnosis among adults in custody.

Prevalence of mental illness, substance use disorder, and dual diagnosis among adults in custody.

Prevalence of mental illness, substance use disorder, and dual diagnosis among adults in custody.

Prevalence of mental illness, substance use disorder, and dual diagnosis among adults in custody.

Prevalence of mental illness, substance use disorder, and dual diagnosis among adults in custody.

Background: The prevalence of mental illness, substance use disorders, and their dual diagnosis is disproportionately high among people in prisons compared to the community. Accurate prevalence estimates are required to inform resourcing of prison health services and reduce the risk of harm to people experiencing these conditions. Existing estimates, where available, often rely on only one data source.

Method: We used three data sources - self-reported history of diagnoses, in-prison medical records, and administrative data to estimate the prevalence of mental illness, substance use disorder, and dual diagnosis among two large cohorts of non-Indigenous and Aboriginal and Torres Strait Islander people in Australian prisons. We calculated population-weighted proportions of the samples with each condition. Inter-rater reliability metrics inform data source agreement.

Results: The prevalence of mental illness only, substance use disorder only, and dual diagnosis was 17.0% (95%CI 12.0-24.5), 14.8% (95%CI 9.6-18.1), and 44.2% (95%CI 33.2-54.7), respectively, for incarcerated, non-Indigenous adults. For incarcerated Aboriginal and Torres Strait Islander adults, our corresponding estimates were 7.0% (95%CI 4.3-11.5), 26.8% (95%CI 18.9-33.5), and 40.9% (95%CI 30.1-48.2). These estimates differed significantly from those derived from singular data sources. Individual data sources' agreement was weakest for substance use disorder diagnoses and strongest for dual diagnoses.

Conclusions: Individual data sources likely have high specificity and low sensitivity, thus under-ascertaining diagnoses. We recommend using multiple data sources to estimate prevalence to ensure adequate ascertainment of these conditions among people in prison and to ensure in-prison and transitional health services are appropriately resourced.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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