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A Classification Scheme for Outcome Indicators
Author(s) -
Jennings Bonnie Mowinski,
Staggers Nancy,
Brosch Laura Ruse
Publication year - 1999
Publication title -
image: the journal of nursing scholarship
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 80
eISSN - 1547-5069
pISSN - 0743-5150
DOI - 10.1111/j.1547-5069.1999.tb00524.x
Subject(s) - outcome (game theory) , scheme (mathematics) , classification scheme , computer science , artificial intelligence , mathematics , machine learning , mathematical economics , mathematical analysis
Purpose: To provide a framework for classifying outcome indicators for a more comprehensive view of outcomes and quality. Methods: Review of outcomes literature published since 1974 from medicine, nursing, and health services research to identify indicators. Outcome indicators were clustered inductively. Findings: Three groups of outcome indicators were identified: patient‐focused, provider‐focused, and organization‐focused. Although investigators tend to focus on a select few outcome indicators, such as patient satisfaction, quality of life, and mortality, many indicators exist to measure outcomes. Conclusions: Selecting and integrating a wide array of outcome indicators from the various categories will provide a more balanced view of health care delivery as compared with focusing on a few common indicators or only one category.