代理(哲学)
最小数据集
质量(理念)
质量管理
选择偏差
精算学
多样性(控制论)
医疗保健
业务
环境卫生
医学
护理部
营销
计算机科学
疗养院
经济增长
服务(商务)
经济
哲学
认识论
病理
人工智能
作者
John P. Hirdes,Brant E. Fries,John N. Morris,N. Ikegami,David Zimmerman,Dawn M. Dalby,Pablo Aliaga,Sara Hammer,Richard N. Jones
出处
期刊:Gerontologist
[Oxford University Press]
日期:2004-10-01
卷期号:44 (5): 665-679
被引量:157
标识
DOI:10.1093/geront/44.5.665
摘要
Purpose: This study aimed to develop home care quality indicators (HCQIs) to be used by a variety of audiences including consumers, agencies, regulators, and policy makers to support evidence-based decision making related to the quality of home care services. Design and Methods: Data from 3,041 Canadian and 11,252 U.S. home care clients assessed with the Minimum Data Set—Home Care (MDS-HC) were used to evaluate a series of indicators suggested by international experts and by focus groups conducted in Canada and the United States. Risk adjustment methods were derived and validated using data from Ontario and Michigan. Results: Of the 73 original candidate HCQIs, 22 were retained for the final list of recommended indicators. All but three indicators include risk adjusters based on individual-level covariates. An agency-level risk adjustment was developed to correct for selection and ascertainment bias. Implications: The HCQIs are new tools providing a first step along the path of quality improvement for home care. These indicators can provide high-quality evidence on performance at the agency level and on a regional basis.
科研通智能强力驱动
Strongly Powered by AbleSci AI