精神病住院病人住院时间的预测因素:巴黎精神病医院集团的回顾性研究

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-09-18 DOI:10.3389/fpsyt.2024.1463415
David Barruel, Anne Perozziello, Hassina Lefèvre, Annie Msellati, Corine Launay, Valérie Dauriac-Le Masson
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We used machine learning tools and univariate and multivariate methods to explore the impact of demographic, pathway-related, and clinical variables on the LOS.ResultsLOS >30 days was associated with age >55 years {odds ratio [OR] =2 [95% confidence interval 1.7–2.3]}, admission from outside the sectorization zone [OR=1.2 (1.1–1.3)], admission via a psychiatric emergency unit [OR, 1.2 (1.1–1.4)], and some clinical severity markers, such as psychotic disorder diagnosis [OR, 1.5 (1.3–1.7)], mandatory care [request of a third party, OR, 2.5 (2.1–2.9); case of imminent danger, OR, 2.3 (1.9–2.7)], the presence of seclusion and mechanical restraint measures (highlighting the positive effect of restraint duration), the somatic comorbidity for female sex [OR, 1.4 (1.2–1.7)], and treatment resistance [OR, 1.4 (1.2–1.6)]. 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摘要

目的缩短住院时间(LOS)已成为精神病医院减少不必要费用和改善患者医疗体验的一大挑战。方法这是一项回顾性研究,研究对象是巴黎精神病医院集团的 8870 名全日制精神病住院患者(6216 名患者),出院时间为 2022 年。我们使用机器学习工具以及单变量和多变量方法探讨了人口统计学、路径相关变量和临床变量对住院时间的影响。结果住院时间30天与年龄55岁{多态比[OR] =2 [95%置信区间1.7-2.3]}、从分区以外地区入院[OR=1.2 (1.1-1.3)]、通过精神科急诊入院[OR, 1.2 (1.1-1. 4)]以及一定的临床严重程度有关。4)],以及一些临床严重性指标,如精神病性障碍诊断[OR,1.5(1.3-1.7)],强制护理[第三方要求,OR,2.5(2.1-2.9);迫在眉睫的危险情况,OR,2.3(1.9-2.7)]、隔离和机械约束措施的存在(强调约束持续时间的积极影响)、女性的躯体合并症[OR,1.4(1.2-1.7)]和治疗阻力[OR,1.4(1.2-1.6)]。相反,LOS ≤30 天与恋爱关系[OR,0.6 (0.5-0.8)]、旅行相关精神病发作期间入院[OR,0.5 (0.3-0.6)]以及人格和行为障碍[OR,0.7 (0.6-0.9)]有关。据我们所知,这是近期第一项调查并强调与各种疾病严重程度指标、用药依从性和患者旅程相关的因素对精神科住院时间影响的研究。更好地了解长期住院的风险因素可能有助于优化医疗资源的分配,并预测量身定制的治疗方案。
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Predictors of the length of stay in psychiatric inpatient units: a retrospective study for the Paris Psychiatry Hospital Group
ObjectiveShortening the length of hospital stay (LOS) has become a major challenge for psychiatric hospitals in reducing unnecessary costs and improving the patient healthcare experience. We investigated the key factors associated with a long psychiatric hospitalization.MethodThis was a retrospective study of 8,870 full-time psychiatric hospital stays (6,216 patients) in the Paris Psychiatry Hospital Group, with a discharge in 2022. We used machine learning tools and univariate and multivariate methods to explore the impact of demographic, pathway-related, and clinical variables on the LOS.ResultsLOS >30 days was associated with age >55 years {odds ratio [OR] =2 [95% confidence interval 1.7–2.3]}, admission from outside the sectorization zone [OR=1.2 (1.1–1.3)], admission via a psychiatric emergency unit [OR, 1.2 (1.1–1.4)], and some clinical severity markers, such as psychotic disorder diagnosis [OR, 1.5 (1.3–1.7)], mandatory care [request of a third party, OR, 2.5 (2.1–2.9); case of imminent danger, OR, 2.3 (1.9–2.7)], the presence of seclusion and mechanical restraint measures (highlighting the positive effect of restraint duration), the somatic comorbidity for female sex [OR, 1.4 (1.2–1.7)], and treatment resistance [OR, 1.4 (1.2–1.6)]. Conversely, LOS ≤30 days was associated with being in a relationship [OR, 0.6 (0.5–0.8)], admission during a travel-related psychiatric episode [OR, 0.5 (0.3–0.6)], and personality and behavior disorders [OR, 0.7 (0.6–0.9)]. We found no significant association for features such as sex and a lack of treatment compliance.ConclusionTo our knowledge, this is the first recent study to investigate and highlight the impact of factors related to various illness severity markers, medication adherence, and patient journeys on the length of psychiatric hospital stay. A better understanding of long-stay risk factors might be helpful for optimizing the allocation of medical resources and anticipating tailored therapeutic programs.
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4.30%
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