Brakoulias Vlasios, Seymour Joanne, Lee Jane, Sammut Peter, Starcevic Vladan
Senior Lecturer, Discipline of Psychiatry, Sydney Medical School - Nepean, University of Sydney, Penrith, NSW, Australia.
Australas Psychiatry. 2013 Dec;21(6):563-6. doi: 10.1177/1039856213501010. Epub 2013 Aug 30.
This paper aims to ascertain predictors of the length of stay in a Psychiatric Emergency Care Centre (PECC).
Demographic and clinical characteristics were recorded retrospectively via file audit in 477 patients who were admitted to a PECC within a six-month period. Associations between these variables and length of stay were analysed using logistic regression.
Length of stay in the PECC was predicted by medical complications arising in the PECC, absconding behaviour, diagnosis of depression and being brought in by family members. Aggression within the PECC and previous contact with mental health services predicted a shorter stay.
Length of stay in the PECC is predicted by a number of variables that are different from those that predict length of stay in an acute psychiatric unit. A comprehensive assessment of these variables prior to admission may decrease the length of stay in the PECC and improve efficiency of acute psychiatric services.
本文旨在确定精神科急诊护理中心(PECC)住院时间的预测因素。
通过档案审查对477名在六个月内入住PECC的患者的人口统计学和临床特征进行回顾性记录。使用逻辑回归分析这些变量与住院时间之间的关联。
PECC的住院时间可由PECC出现的医疗并发症、潜逃行为、抑郁症诊断以及由家庭成员送来预测。PECC内的攻击行为和先前与心理健康服务机构的接触预示着住院时间较短。
PECC的住院时间由一些与预测急性精神科病房住院时间的变量不同的变量所预测。入院前对这些变量进行全面评估可能会缩短PECC的住院时间并提高急性精神科服务的效率。