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interRAI home care quality indicators

机译:interRAI家庭护理质量指标

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Background This paper describe the development of interRAI’s second-generation home care quality indicators (HC-QIs). They are derived from two of interRAI’s widely used community assessments: the Community Health Assessment and the Home Care Assessment. In this work the form in which the quality problem is specified has been refined, the covariate structure updated, and two summary scales introduced. Methods Two data sets were used: at the client and home-care site levels. Client-level data were employed to identify HC-QI covariates. This sample consisted of 335,544 clients from Europe, Canada, and the United States. Program level analyses, where client level data were aggregated at the site level, were also based on the clients from the samples from Europe, Canada, and the United States. There were 1,654 program-based observations – 22% from Europe, 23% from the US, and 55% from Canada. The first task was to identify potential HC-QIs, including both change and prevalence measures. Next, they were reviewed by industry representatives and members of the interRAI network. A two-step process adjustment was followed to identify the most appropriate covariance structure for each HC-QI. Finally, a factor analytic strategy was used to identify HC-QIs that cluster together and thus are candidates for summary scales. Results The set of risk adjusted HC-QIs are multi-dimensional in scope, including measures of function, clinical complexity, social life, distress, and service use. Two factors were identified. The first includes a set of eleven measures that revolve around the absence of decline. This scale talks about functional independence and engagement. The second factor, anchored on nine functional improvement HC-QIs, referenced positively, this scale indicates a return to clinical balance. Conclusions Twenty-three risk-adjusted, HC-QIs are described. Two new summary HC-QI scales, the “Independence Quality Scale” and the “Clinical Balance Quality Scale” are derived. In use at a site, these two scales can provide a macro view of local performance, offering a way for a home care agency to understand its performance. When scales perform less positively, the site then is able to review the HC-QI items that make up the scale, providing a roadmap for areas of greatest concern and in need of targeted interventions.
机译:背景资料本文介绍了interRAI的第二代家庭护理质量指标(HC-QI)的发展。它们来自interRAI广泛使用的两项社区评估:社区健康评估和家庭护理评估。在这项工作中,改进了指定质量问题的形式,更新了协变量结构,并引入了两个汇总量表。方法使用了两个数据集:在客户和家庭护理场所级别。使用客户级数据来识别HC-QI协变量。该样本包括来自欧洲,加拿大和美国的335,544名客户。程序级分析(在站点级汇总客户级数据)也是基于欧洲,加拿大和美国的样本中的客户。有1,654项基于计划的观察–欧洲的22%,美国的23%和加拿大的55%。第一项任务是确定潜在的HC-QI,包括变更和流行措施。接下来,他们由行业代表和interRAI网络的成员进行了审查。进行了两步过程调整,以确定每种HC-QI的最合适协方差结构。最后,使用因子分析策略来识别聚类在一起的HC-QI,从而成为汇总量表的候选者。结果风险调整后的HC-QI集合在范围上是多维的,包括功能,临床复杂性,社会生活,困扰和服务使用的度量。确定了两个因素。第一个包括围绕没有下降的十一项措施。该量表讨论了功能独立性和参与度。积极参考的第二个因素是九​​种功能改善的HC-QI,该量表表明已恢复临床平衡。结论描述了23种经过风险调整的HC-QI。推导了两个新的HC-QI摘要量表,即“独立质量量表”和“临床平衡质量量表”。在现场使用时,这两个比例可以提供本地性能的宏观视图,为家庭护理机构提供一种了解其性能的方式。当量表的表现不太理想时,站点便可以查看构成量表的HC-QI项目,从而为最关注的领域和需要有针对性的干预措施提供路线图。

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