非自愿住院民事承诺:2010年至2022年的趋势。

IF 3.2
Psychiatric services (Washington, D.C.) Pub Date : 2025-10-01 Epub Date: 2025-08-21 DOI:10.1176/appi.ps.20250024
Mustafa Karakus, Victoria Nelson, Emma Scott, Sushmita Shoma Ghose, Tina Marshall, John Cosgrove, N Phil Masiakowski, David Cohen
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引用次数: 0

摘要

目的:非自愿住院民事承诺发生在美国所有州和地区。然而,各州的法律规定了各州实施民事承诺的程序,包括数据收集要求和负责收集和管理这些数据的实体。本研究旨在通过收集和分析现有的州级数据,在以往工作的基础上,捕捉民事承诺的长期趋势。方法:通过系统的网站搜索和直接联系州精神卫生当局和法院系统,获得了32个州和哥伦比亚特区2010-2022年民事承诺的数据。结果:从2010年到2022年,9个州和哥伦比亚特区的民事承诺率显著增加,23个州保持相对稳定;没有一个州显示民事承诺率显著下降。州精神卫生当局报告的比率明显高于州法院系统数据。结论:据作者所知,汇编的数据集代表了美国非自愿住院民事承诺的最新和最全面的资源。然而,各州之间缺乏标准化的过程、定义和数据,阻碍了对可能指导政策决策的促成因素和解释因素进行研究的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Involuntary Inpatient Civil Commitment: Trends From 2010 to 2022.

Objective: Involuntary inpatient civil commitment occurs across all U.S. states and territories. However, individual state laws define states' procedures for implementing civil commitment, including data collection requirements and the entities responsible for collecting and managing these data. This study aimed to build on previous efforts by collecting and analyzing the available state-level data to capture trends in civil commitment over time.

Methods: Through systematic website searches and direct outreach to state mental health authorities and court systems, data on civil commitment (2010-2022) were obtained for 32 states and the District of Columbia.

Results: From 2010 to 2022, the rates of civil commitment were found to have significantly increased in nine states and the District of Columbia and to have remained relatively stable in 23 states; no states showed significant decreases in civil commitment rates. The rates reported by state mental health authorities were significantly higher than those found through state court system data.

Conclusions: To the authors' knowledge, the data set compiled represents the most current and comprehensive resource on involuntary inpatient civil commitment in the United States. However, the lack of standardized processes, definitions, and data across states hinders the ability to examine the contributing and explanatory factors that may guide policy decisions.

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