Mental and Substance Use Disorders Prevalence Study: Background and Methods

IF 2.4 3区医学 Q2 PSYCHIATRY

International Journal of Methods in Psychiatric Research Pub Date : 2024-01-22 DOI:10.1002/mpr.2000

Heidi Guyer, Heather Ringeisen, Jill Dever, Dan Liao, Andy Peytchev, Christine Carr, Paul Geiger, Leyla Stambaugh, Tim Smith, Lisa Dixon, Mark Olfson, Michael First, Scott Stroup, Lydia Chwastiak, Maria Monroe-Devita, Jeff Swanson, Marvin Swartz, Ronald C. Kessler, Robert Gibbons, Natalie Bareis, Elizabeth Sinclair Hancq, Thomas Clarke, Mark Edlund, the MDPS Consortium

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引用次数: 0

Abstract

Objective

The Mental and Substance Use Disorders Prevalence Study (MDPS) builds upon previous epidemiologic studies to provide estimates of prevalence and treatment rates of mental and substance use disorders among adults aged 18–65 in the U.S. The study background and methods are described.

Method

The MDPS employed novel techniques such as the inclusion of household, prison, homeless and state psychiatric hospital populations, a semi-structured clinical interview administered by trained clinical interviewers to assess disorders, the assessment of both past year and lifetime schizophrenia spectrum disorder (SSD) using full Diagnostic and Statistical Manual 5 criteria, as well as other mental and substance use disorders, and video-based interviewing. Population specific and combined sample weights were developed to estimate nationally representative prevalence and treatment rates.

Results

Data collection was conducted between October 2020 and October 2022 resulting in 5679 clinical interviews. The statistical weighting and analytic plan are described. Weighted response rates and reasons for non-response are provided for each study population.

Conclusions

The MDPS successfully developed and employed novel techniques to estimate the prevalence and treatment rates of mental and substance use disorders in both household and non-household populations, including some of the most impairing disorders such as SSD.

Abstract Image

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精神和药物使用障碍患病率研究：背景与方法

目的精神障碍和药物使用障碍患病率研究（MDPS）在以往流行病学研究的基础上，对美国 18-65 岁成年人中精神障碍和药物使用障碍的患病率和治疗率进行了估计。方法 MDPS 采用了一些新颖的技术，如纳入家庭、监狱、无家可归者和州立精神病院人群，由训练有素的临床访谈员进行半结构化临床访谈以评估失调症，使用《诊断与统计手册 5》的全部标准评估过去一年和终生精神分裂症谱系障碍 (SSD)，以及其他精神和药物使用失调症，并进行视频访谈。为估算具有全国代表性的患病率和治疗率，制定了特定人群和综合样本权重。结果数据收集工作于 2020 年 10 月至 2022 年 10 月期间进行，共进行了 5679 次临床访谈。本文介绍了统计加权和分析计划。提供了每个研究人群的加权响应率和未响应原因。结论 MDPS 成功地开发并使用了新技术来估算家庭和非家庭人口中精神和药物使用失调的患病率和治疗率，包括 SSD 等一些最严重的失调。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Methods in Psychiatric Research 医学-精神病学

CiteScore

5.20

自引率

6.50%

发文量

审稿时长

>12 weeks

期刊介绍： The International Journal of Methods in Psychiatric Research (MPR) publishes high-standard original research of a technical, methodological, experimental and clinical nature, contributing to the theory, methodology, practice and evaluation of mental and behavioural disorders. The journal targets in particular detailed methodological and design papers from major national and international multicentre studies. There is a close working relationship with the US National Institute of Mental Health, the World Health Organisation (WHO) Diagnostic Instruments Committees, as well as several other European and international organisations. MPR aims to publish rapidly articles of highest methodological quality in such areas as epidemiology, biostatistics, generics, psychopharmacology, psychology and the neurosciences. Articles informing about innovative and critical methodological, statistical and clinical issues, including nosology, can be submitted as regular papers and brief reports. Reviews are only occasionally accepted. MPR seeks to monitor, discuss, influence and improve the standards of mental health and behavioral neuroscience research by providing a platform for rapid publication of outstanding contributions. As a quarterly journal MPR is a major source of information and ideas and is an important medium for students, clinicians and researchers in psychiatry, clinical psychology, epidemiology and the allied disciplines in the mental health field.