非自愿精神病住院的真实世界证据:64,685例

Christina Fornazari, M. Canfield, R. Laranjeira
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摘要

目的:我们探讨了巴西非自愿精神科住院患者的住院模式和临床及个体特征(n=64,685)。方法:收集了2003年1月至2020年2月期间圣保罗州地方检察官办公室(ministrio Público do Estado de sastado de spaulo)所有非自愿精神病住院患者的数据。计算每年非自愿精神病住院率,并对其特征进行描述性统计。结果:非自愿精神病住院人数从每10万人5.8人增加到25.5人,在第一个10年期间(2003-2013年)增加了8个百分点。大多数住院患者是公立机构(86.6%),主要诊断为精神障碍(26.1%),多次诊断(83.7%),持续时间少于7天(52.4%)。大多数患者年龄在18至39岁之间,单身,再入院相对常见(13%)。尽管在许多报告中遗漏了入院原因(44%),但伤害自己或他人的风险是最常见的(68.5%)。结论:这是有史以来最大的非自愿精神病住院记录之一。这些发现建立在国际上关于非自愿精神疾病住院的现有证据的基础上,并显示了巴西最大城市住院率的最新趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real world evidence in involuntary psychiatric hospitalizations: 64,685 cases
Objective: We explored hospitalization patterns and the clinical and individual characteristics of a large cohort of patients who underwent involuntary psychiatric hospitalization in Brazil (n=64,685). Methods: Data were collected from the District Attorney's Office of the State of São Paulo (Ministério Público do Estado de São Paulo) on all involuntary psychiatric hospitalizations in the city of São Paulo between January 2003 and February 2020. The annual involuntary psychiatric hospitalization rate was calculated and descriptive statistics of the characteristics were produced. Results: Involuntary psychiatric hospitalizations increased from 5.8 to 25.5 per 100,000 population, with an eight-folder increase in the first 10-year period (2003-2013). The majority of admissions were to public institutions (86.6%), involved a psychotic disorder in the primary diagnosis (26.1%), involved more than one diagnosis (83.7%), and lasted less than 7 days (52.4%). The majority of the patients were aged 18 to 39 years and were single, and readmission was relatively common (13%). Although the reason for admission was missing in many reports (44%), the risk of harm to self or others was the most common (68.5%). Conclusion: This is one of the largest cohorts of involuntary psychiatric hospitalization records ever explored. These findings build upon existing international evidence about involuntary psychiatric hospitalizations and show recent trends in admission rates in the largest city in Brazil.
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