...
首页> 外文期刊>The Australian and New Zealand journal of psychiatry >Modelling candidate effectiveness indicators for mental health services.
【24h】

Modelling candidate effectiveness indicators for mental health services.

机译:为心理健康服务建模候选有效性指标。

获取原文
获取原文并翻译 | 示例
           

摘要

OBJECTIVE: Although Australia and the UK have both made efforts to systematize outcome measurement in mental health services, surprisingly little attention has been paid to how best to analyse routine outcome data in order to determine how services are performing. METHODS: Outcome data collected in acute inpatient and ambulatory mental health services across Australia during the 2006-2007 financial year were used. three approaches to measuring effectiveness were explored: effect size (ES); the reliable change index (RCI); and standard error of measurement (SEM). RESULTS: The most conservative results were produced by the RCI and the least conservative by the medium ES statistic and the SEM. By way of example, only 38.0% of inpatient admission-discharge periods of care showed significant improvement for adults when the RCI was used, whereas 67.4% and 72.9% did so when the medium ES and the SEM statistics were used, respectively. CONCLUSIONS: In any routine outcome measurement exercise, the degree of effectiveness demonstrated by services will depend on the specific statistical indicator used to judge effectiveness. Routine outcome measurement has the potential to answer a range of crucial performance-related questions, but only if the same metric is used. Discussion of the appropriate statistical approach to take to facilitate cross-service, cross-area and even cross-national comparisons warrants attention.
机译:目的:尽管澳大利亚和英国都已努力使心理健康服务的结果测量系统化,但令人惊讶的是,很少有人关注如何最好地分析常规结果数据以确定服务的绩效。方法:使用2006-2007财政年度在澳大利亚全国范围内急性住院和非卧床心理健康服务中收集的结果数据。探索了三种评估有效性的方法:效应量(ES);可靠变化指数(RCI);和标准测量误差(SEM)。结果:最保守的结果由RCI产生,最不保守的结果由中等ES统计量和SEM得出。举例来说,使用RCI时,只有38.0%的住院病人出院护理时间对成年人有显着改善,而当使用中等ES和SEM统计数据时,分别达到了67.4%和72.9%。结论:在任何常规的结果测量活动中,服务所证明的有效性程度将取决于用于判断有效性的特定统计指标。常规结果测量有可能回答一系列与绩效相关的关键问题,但前提是要使用相同的指标。有关促进跨服务,跨区域甚至跨国家比较的适当统计方法的讨论值得关注。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号