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从数字到理解:人口因素对隔离率的影响。

From numbers to understanding: the impact of demographic factors on seclusion rates.

机构信息

Institute for Health and Social Science Researh and School of Nursing and Midwifery, CQUniversity Australia, Rockhampton, Queensland, Australia.

出版信息

Int J Ment Health Nurs. 2010 Jun;19(3):169-76. doi: 10.1111/j.1447-0349.2010.00670.x.

DOI:10.1111/j.1447-0349.2010.00670.x
PMID:20550640
Abstract

The reduction and, where possible, elimination of seclusion has been recognized as a national safety priority for mental health services in Australia, with significant attention devoted to strategies to achieve this goal. The aim of this study was to compare specific demographic characteristics between consumers who have been secluded to those who have not. Patient data (n = 3244) collected by 11 mental health services across Australia for six months over a 12 month period were analysed using demographic statistics. A comparison was undertaken between those who were secluded one or more times (n = 271) and those who were not secluded (n = 2973). Differences were measured with the use of independent samples t-tests and chi-square statistics. Age, gender, diagnosis, indigenous status and Health of the National Outcomes Scores (HoNOS) were found to be significant factors in relation to seclusion. Men, younger people, and indigenous people were found to be more likely to be secluded. In addition, consumers who scored higher on the behaviour,impairment and social subscales of HoNOS were more likely to be secluded. Comparative analysis of demographic characteristics of secluded and non-secluded patients can provide vital information for consideration when planning and evaluating seclusion reduction strategies.

摘要

减少禁闭,并在可能的情况下消除禁闭,已被澳大利亚精神卫生服务机构视为国家安全重点,为此投入了大量精力来制定实现这一目标的策略。本研究旨在比较被禁闭和未被禁闭的患者的具体人口统计学特征。在为期 12 个月的 6 个月内,澳大利亚 11 家精神卫生服务机构收集了 3244 名患者的数据,使用人口统计学统计数据进行了分析。对被禁闭一次或多次的患者(n = 271)和未被禁闭的患者(n = 2973)进行了比较。使用独立样本 t 检验和卡方统计进行了差异测量。发现年龄、性别、诊断、土著身份和国家健康结果评分(HoNOS)是与禁闭相关的重要因素。男性、年轻人和土著人更有可能被禁闭。此外,在 HoNOS 的行为、障碍和社会分量表上得分较高的患者更有可能被禁闭。对被禁闭和未被禁闭患者的人口统计学特征进行比较分析,可以为规划和评估禁闭减少策略时提供重要信息。

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