Cover: Quality Indicators for the Management of Medical Conditions in Nursing Home Residents

Quality Indicators for the Management of Medical Conditions in Nursing Home Residents

Published in: Journal of the American Medical Directors Association, v. 5, no. 5, Sep./Oct. 2004, p. 297-309

Posted on 2004

by Debra Saliba, David Solomon, Laurence Rubenstein, Roy Young, John Schnelle, Carol P. Roth, Neil S. Wenger

PURPOSE: The purpose of this study was to develop a set of specific care processes associated with better outcomes for general medical conditions identified as quality improvement targets for institutionalized vulnerable elders. METHODS: A national panel of nursing home experts used a modified-Delphi process to rate the validity (process linked to improved outcomes) and feasibility (of implementation and measurement) of candidate measures for depression, diabetes, hearing impairment, heart failure, hypertension, ischemic heart disease, osteoarthritis, osteoporosis, pneumonia, stroke, and vision impairment. Each quality indicator was written as an if statement, describing persons to whom the quality indicator applied followed by a then statement identifying the care process to be provided. A separate clinical committee reviewed the resulting set of indicators. RESULTS: One hundred fourteen quality indicators were identified across the 11 medical conditions. The quality indicators capture a broad range of medical care addressing assessment, management, and follow up. Fifty-five indicators (48%) were identical to quality measures for community-dwelling vulnerable elders. A limited number were rated as questionably feasible to implement or measure (6 and 2, respectively). Thirty-eight (33%) would not be applied to measures of care quality for persons with advanced dementia or poor prognosis. CONCLUSIONS: Explicit care processes linked to improved nursing home outcomes for general medical conditions can be identified. Most of these care processes can be measured by medical records or interview. Nursing home quality measures for medical conditions must account for exclusions related to poor prognosis and advanced dementia.

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