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人口统计学和临床特征作为住院时间和再入院的预测因素。

Demographic and clinical characteristics as predictors of length of hospitalization and readmission.

作者信息

Munley P H, Devone N, Einhorn C M, Gash I A, Hyer L, Kuhn K C

出版信息

J Clin Psychol. 1977 Oct;33(4):1093-9. doi: 10.1002/1097-4679(197710)33:4<1093::aid-jclp2270330438>3.0.co;2-9.

DOI:10.1002/1097-4679(197710)33:4<1093::aid-jclp2270330438>3.0.co;2-9
PMID:925165
Abstract

The present study investigated demographic and clinical characteristics of psychiatric patients in relation to the two criterion variables of length of hospitalization and readmission within 3 months of discharge. Stepwise multiple regression analysis identified five variables as the optimal set of predictors for length of hospitalization: age, history of commitment, number of prior psychiatric hospitalizations, recent employment history, and past history of suicidal behavior (R = .451). Regression analysis also identified six variables as the optimal set of predictors for readmission within 3 months of discharge: type of discharge, number of prior psychiatric hospitalizations, race, suicide attempt within 1 month prior to admission, subjective report of depression upon admission, and occupational level (R = .452). Implications of the findings for identifying short-term treatment candidates and factors related to readmission are discussed.

摘要

本研究调查了精神科患者的人口统计学和临床特征与住院时间和出院后3个月内再入院这两个标准变量之间的关系。逐步多元回归分析确定了五个变量作为住院时间的最佳预测指标集:年龄、住院史、既往精神科住院次数、近期就业史和既往自杀行为史(R = 0.451)。回归分析还确定了六个变量作为出院后3个月内再入院的最佳预测指标集:出院类型、既往精神科住院次数、种族、入院前1个月内的自杀未遂、入院时的主观抑郁报告和职业水平(R = 0.452)。本文讨论了这些研究结果对于识别短期治疗候选者以及与再入院相关因素的意义。

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Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare.用于预测体弱患者再入院风险的机器学习:医疗保健领域的可解释人工智能。
Patterns (N Y). 2021 Dec 3;3(1):100395. doi: 10.1016/j.patter.2021.100395. eCollection 2022 Jan 14.
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Number of prior episodes and the presence of depressive symptoms are associated with longer length of stay for patients with acute manic episodes.既往发作次数和抑郁症状的存在与急性躁狂发作患者的住院时间延长有关。
Ann Gen Psychiatry. 2012 Mar 10;11(1):7. doi: 10.1186/1744-859X-11-7.
3
Factors affecting early unplanned readmission of elderly patients to hospital.
影响老年患者早期非计划再次入院的因素。
BMJ. 1988 Sep 24;297(6651):784-7. doi: 10.1136/bmj.297.6651.784.
4
On characterizing new psychiatric long-stay patients.关于新的长期住院精神科患者的特征描述。
Soc Psychiatry Psychiatr Epidemiol. 1989 Mar;24(2):88-95. doi: 10.1007/BF01788632.
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Predicting length of stay for patients with psychoses.预测精神病患者的住院时间。
Health Serv Res. 1992 Feb;26(6):743-66.
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Social indicators and the prediction of psychiatric inpatient service utilisation.社会指标与精神科住院服务利用的预测
Soc Psychiatry Psychiatr Epidemiol. 1992 Mar;27(2):83-94. doi: 10.1007/BF00788511.