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不同入院病房的隔离率差异:患者构成能解释吗?

Differences in seclusion rates between admission wards: does patient compilation explain?

机构信息

Board Agency, GGNet Mental Healthcare, Box 2003, NL-7230 GC Warnsveld, The Netherlands.

出版信息

Psychiatr Q. 2013 Mar;84(1):39-52. doi: 10.1007/s11126-012-9225-3.

Abstract

Comparison of seclusion figures between wards in Dutch psychiatric hospitals showed substantial differences in number and duration of seclusions. In the opinion of nurses and ward managers, these differences may predominantly be explained by differences in patient characteristics, as these are expected to have a large impact on these seclusion rates. Nurses assume more admissions of severely ill patients are related to higher seclusion rates. In order to test this hypothesis, we investigated differences in patient and background characteristics of 718 secluded patients over 5,097 admissions on 29 different admission wards over seven Dutch psychiatric hospitals. We performed an extreme group analysis to explore the relationship between patient and ward characteristics and the wards' number of seclusion hours per 1,000 admission hours. In a multivariate and a multilevel analysis, various characteristics turned out to be related to the number of seclusion hours per 1,000 admission hours as well as to the likelihood of a patient being secluded, confirming the nurses assumptions. The extreme group analysis showed that seclusion rates depended on both patient and ward characteristics. A multivariate and multilevel analyses revealed that differences in seclusion hours between wards could partially be explained by ward size next to patient characteristics. However, the largest deal of the difference between wards in seclusion rates could not be explained by characteristics measured in this study. We concluded ward policy and adequate staffing may, in particular on smaller wards, be key issues in reduction of seclusion.

摘要

荷兰精神病院各病房的隔离人数比较显示,隔离的人数和时间存在很大差异。在护士和病房管理人员看来,这些差异可能主要可以用患者特征的差异来解释,因为这些特征预计会对这些隔离率产生很大影响。护士认为,更多的重病患者入院与更高的隔离率有关。为了验证这一假设,我们调查了 7 家荷兰精神病院的 29 个不同病房的 718 名被隔离患者在 5097 次入院期间的患者和背景特征差异。我们进行了极端群体分析,以探讨患者和病房特征与病房每 1000 个入院小时的隔离小时数之间的关系。在多变量和多层次分析中,各种特征与每 1000 个入院小时的隔离小时数以及患者被隔离的可能性相关,证实了护士的假设。极端群体分析表明,隔离率取决于患者和病房的特征。多变量和多层次分析表明,病房之间的隔离时间差异部分可以用患者特征以外的病房大小来解释。然而,病房之间在隔离率方面的最大差异无法用本研究中测量的特征来解释。我们得出结论,病房政策和充足的人员配备可能是减少隔离的关键问题,尤其是在较小的病房中。

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