Suppr超能文献

评估急性精神科入院时延长住院时间的预测因素。

Assessing predictive factors for extended hospitalization at acute psychiatric admission.

作者信息

Hopko D R, Lachar D, Bailley S E, Varner R V

机构信息

University of Texas Houston Medical School, 1300 Moursand Avenue, Houston, TX 77030-3497, USA.

出版信息

Psychiatr Serv. 2001 Oct;52(10):1367-73. doi: 10.1176/appi.ps.52.10.1367.

Abstract

OBJECTIVE

This study examined whether information obtained early in the hospitalization process can be used to assess a patient's need for extended care.

METHODS

A sample of 2,430 inpatients who were admitted to a state psychiatric facility during a one-year index period (January through December 1997) were randomly assigned to a primary sample or a replication sample. Data were collected on demographic characteristics and history of previous hospitalization. The Brief Psychiatric Rating Scale-Anchored Version (BPRS-A) was administered to patients within 48 hours of admission, and four new subscales derived from ratings of newly admitted patients were calculated. Univariate and multivariate analyses were conducted to identify factors associated with whether a patient was discharged to the community or transported to another hospital for extended care.

RESULTS

A discriminant analysis of the data correctly identified 70 percent of the patients who were referred for continued hospitalization and 80 percent of the patients who were discharged to the community. The main correlates of the need for extended inpatient services were, in descending order, scores on the BPRS-A resistance subscale, the number of previous referrals for extended hospitalizations, and scores on the BPRS-A positive symptoms and psychological discomfort scales.

CONCLUSIONS

BPRS-A subscale scores should be considered to be at least as good as more traditional measures in predicting length of hospitalization.

摘要

目的

本研究探讨在住院过程早期获取的信息是否可用于评估患者对延长护理的需求。

方法

在一年的索引期(1997年1月至12月)内入住一家州立精神病院的2430名住院患者样本被随机分配到一个主要样本或一个重复样本中。收集了人口统计学特征和既往住院史的数据。在入院48小时内对患者进行了简明精神病评定量表锚定版(BPRS-A)评估,并计算了从新入院患者评分中得出的四个新子量表。进行单变量和多变量分析以确定与患者是出院回家还是被转至另一家医院接受延长护理相关的因素。

结果

对数据进行的判别分析正确识别出了70%被转诊继续住院的患者以及80%出院回家的患者。对延长住院服务需求的主要相关因素,按降序排列为BPRS-A抵抗子量表得分、既往延长住院转诊次数以及BPRS-A阳性症状和心理不适量表得分。

结论

在预测住院时长方面,BPRS-A子量表得分应被视为至少与更传统的测量方法一样有效。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验