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城市县级医院精神科住院患者住院时长的影响因素

Determinants of inpatient psychiatric length of stay in an urban county hospital.

作者信息

Compton Michael T, Craw Jason, Rudisch Bruce E

机构信息

Emory University School of Medicine, Department of Psychiatry and Behavioral Sciences, Atlanta, GA, USA.

出版信息

Psychiatr Q. 2006 Summer;77(2):173-88. doi: 10.1007/s11126-006-9005-z.

DOI:10.1007/s11126-006-9005-z
PMID:16763767
Abstract

This study investigated predictors of length of stay (LOS) for two inpatient psychiatric units (a crisis stabilization unit and a longer-stay milieu unit) in a large, urban, university-affiliated, county hospital. It was hypothesized that three variables would be independently associated with shorter LOS: (1) higher Global Assessment of Functioning (GAF) scale scores, (2) not requiring the use of seclusion or restraints, and (3) the presence of a comorbid substance use disorder. Data were collected on consecutive discharges (n=234) from the two inpatient units. Bivariate tests were conducted, and multiple linear regression models assessed the independent effects of potential determinants of LOS. The presence of a comorbid personality disorder or substance use disorder was predictive of shorter LOS on the crisis stabilization unit (n=88). Several variables were found to be predictive of shorter LOS on the longer-stay milieu unit (n=146), including: involuntary legal status on discharge, not requiring seclusion or restraints, higher admission GAF scale score, female gender, and the presence of a comorbid substance use disorder. Findings indicate that a substantial portion of the variance in LOS in this setting can be predicted from basic sociodemographic and clinical factors available in hospital medical charts.

摘要

本研究调查了一家大型城市大学附属医院的两个住院精神科病房(一个危机稳定病房和一个长期住院环境病房)住院时间(LOS)的预测因素。研究假设,有三个变量将与较短的住院时间独立相关:(1)较高的功能总体评定量表(GAF)评分;(2)不需要使用隔离或约束措施;(3)存在共病物质使用障碍。收集了两个住院病房连续出院患者(n = 234)的数据。进行了双变量检验,多元线性回归模型评估了住院时间潜在决定因素的独立影响。在危机稳定病房(n = 88),存在共病的人格障碍或物质使用障碍可预测较短的住院时间。在长期住院环境病房(n = 146)中,发现几个变量可预测较短的住院时间,包括:出院时的非自愿法律状态、不需要隔离或约束措施、入院时较高的GAF量表评分、女性性别以及存在共病物质使用障碍。研究结果表明,在这种情况下,住院时间差异的很大一部分可以从医院病历中可用的基本社会人口统计学和临床因素预测出来。

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