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利用来自 interRAI MDS 的强大数据支持护理和学习型健康系统:一项长期护理的案例研究。

Using powerful data from the interRAI MDS to support care and a learning health system: A case study from long-term care.

作者信息

Dash Darly, Heckman George A, Boscart Veronique M, Costa Andrew P, Killingbeck Jaimie, d'Avernas Josie R

机构信息

1 Schlegel-UW Research Institute for Aging, Waterloo, Ontario, Canada.

2 School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.

出版信息

Healthc Manage Forum. 2018 Jul;31(4):153-159. doi: 10.1177/0840470417743989. Epub 2018 Jun 11.

Abstract

interRAI is a non-profit international consortium of clinicians and scientists who have developed the Minimum Data Set (MDS) 2.0 assessment to systematically identify the health status and care plan of residents in Long-Term Care (LTC). However, LTC staff often fail to realize the clinical utility of this information, viewing it as "data collection for funding purposes" and an administrative task adding to the daily workload. This article reports how one research institute and senior living organization work together to use MDS 2.0 and other information to support better care for residents, plan resource allocation and staffing models, and conduct applied research for older Canadians. A multi-level approach is described on how MDS 2.0 provides a robust infrastructure at the individual, team, organizational, and system levels. Long-term care stakeholders can do much more to unleash the full potential of this powerful tool, and other healthcare sectors can take advantage of this approach.

摘要

interRAI是一个由临床医生和科学家组成的非营利性国际联盟,他们开发了最小数据集(MDS)2.0评估工具,以系统地确定长期护理(LTC)机构中居民的健康状况和护理计划。然而,长期护理机构的工作人员往往没有意识到这些信息的临床实用性,将其视为“为获取资金而进行的数据收集”以及一项增加日常工作量的行政任务。本文报告了一家研究机构和一家高级生活组织如何合作,利用MDS 2.0及其他信息来支持为居民提供更好的护理、规划资源分配和人员配置模式,以及为加拿大老年人开展应用研究。文中描述了一种多层次方法,说明MDS 2.0如何在个人、团队、组织和系统层面提供强大的基础设施。长期护理领域的利益相关者可以做更多工作来释放这一强大工具的全部潜力,其他医疗保健部门也可以利用这种方法。

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