使用最小数据集质量指标和其他质量衡量标准来验证疗养院护理质量。

Verifying nursing home care quality using minimum data set quality indicators and other quality measures.

作者信息

Rantz M J, Popejoy L, Mehr D R, Zwygart-Stauffacher M, Hicks L L, Grando V, Conn V S, Porter R, Scott J, Maas M

机构信息

Sinclair School of Nursing, University of Missouri-Columbia, USA.

出版信息

J Nurs Care Qual. 1997 Dec;12(2):54-62. doi: 10.1097/00001786-199712000-00011.

DOI:10.1097/00001786-199712000-00011

PMID:9397640

Abstract

Researchers, providers and government agencies have devoted time and resources to the development of a set of Quality Indicators derived from Minimum Data Set (MDS) data. Little effort has been directed toward verifying that Quality Indicators derived from MDS data accurately measure nursing home quality. Researchers at the University of Missouri-Columbia have independently verified the accuracy of QI derived from MDS data using four different methods; 1) structured participative observation, 2) QI Observation Scoring Instrument, 3) Independent Observable Indicators of Quality Instrument, and 4) survey citations. Our team was able to determine that QIs derived from MDS data did differentiate nursing homes of good quality from those of poorer quality.

摘要

研究人员、医疗服务提供者和政府机构投入了时间和资源，用于开发一套源自最小数据集（MDS）数据的质量指标。但在验证源自MDS数据的质量指标能否准确衡量养老院质量方面，所做的工作却很少。密苏里大学哥伦比亚分校的研究人员已使用四种不同方法独立验证了源自MDS数据的质量指标的准确性；1）结构化参与观察，2）质量指标观察评分工具，3）独立的质量可观察指标工具，4）调查引用。我们的团队能够确定，源自MDS数据的质量指标确实能够区分优质养老院和质量较差的养老院。