FASStR: A framework for ensuring high-quality operational metrics in health care

Title FASStR: A framework for ensuring high-quality operational metrics in health care
Author Torabi, E., Çayırlı, Tuğba, Froehle, C. M., Klassen, K. J., Magazine, M., White, D. L., Ward, M. J.
Publication Date: 2020-06
Publication Place - Managed Care & Healthcare Communications, LLC
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1088-0224
Record ID 53e8eb2b-ec46-401f-adb1-556149436379
Library Location Business Administration
Date 2020-06
Notes College of Business at James Madison University - National Heart, Lung, and Blood Institute
Sample Text OBJECTIVES: Poorly defined measurement impairs interinstitutional comparison, interpretation of results, and process improvement in health care operations. We sought to develop a unifying framework that could be used by administrators, practitioners, and investigators to help define and document operational performance measures that are comparable and reproducible. STUDY DESIGN: Retrospective analysis. METHODS: Health care operations and clinical investigators used an iterative process consisting of (1) literature review, (2) expert assessment and collaborative design, and (3) end-user feedback. We sampled the literature from the medical, health systems research, and health care operations (business and engineering) disciplines to assemble a representative sample of studies in which outpatient health care performance metrics were used to describe the primary or secondary outcome of the research. RESULTS: We identified 2 primary deficiencies in outpatient performance metric definitions: incompletion and inconsistency. From our review of performance metrics, we propose the FASStR framework for the Focus, Activity, Statistic, Scale type, and Reference dimensions of a performance metric. The FASStR framework is a method by which performance metrics can be developed and examined from a multidimensional perspective to evaluate their comprehensiveness and clarity. The framework was tested and revised in an iterative process with both practitioners and investigators. CONCLUSIONS: The FASStR framework can guide the design, development, and implementation of operational metrics in outpatient health care settings. Further, this framework can assist investigators in the evaluation of the metrics that they are using. Overall, the FASStR framework can result in clearer, more consistent use and evaluation of outpatient performance metrics.
DOI 10.37765/ajmc.2020.43492
Cilt 26
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FASStR: A framework for ensuring high-quality operational metrics in health care

Author Torabi, E., Çayırlı, Tuğba, Froehle, C. M., Klassen, K. J., Magazine, M., White, D. L., Ward, M. J.
Publication Date 2020-06
Publication Place - Managed Care & Healthcare Communications, LLC
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1088-0224
Record ID 53e8eb2b-ec46-401f-adb1-556149436379
Library Location Business Administration
Date 2020-06
Notes College of Business at James Madison University - National Heart, Lung, and Blood Institute
Sample Text OBJECTIVES: Poorly defined measurement impairs interinstitutional comparison, interpretation of results, and process improvement in health care operations. We sought to develop a unifying framework that could be used by administrators, practitioners, and investigators to help define and document operational performance measures that are comparable and reproducible. STUDY DESIGN: Retrospective analysis. METHODS: Health care operations and clinical investigators used an iterative process consisting of (1) literature review, (2) expert assessment and collaborative design, and (3) end-user feedback. We sampled the literature from the medical, health systems research, and health care operations (business and engineering) disciplines to assemble a representative sample of studies in which outpatient health care performance metrics were used to describe the primary or secondary outcome of the research. RESULTS: We identified 2 primary deficiencies in outpatient performance metric definitions: incompletion and inconsistency. From our review of performance metrics, we propose the FASStR framework for the Focus, Activity, Statistic, Scale type, and Reference dimensions of a performance metric. The FASStR framework is a method by which performance metrics can be developed and examined from a multidimensional perspective to evaluate their comprehensiveness and clarity. The framework was tested and revised in an iterative process with both practitioners and investigators. CONCLUSIONS: The FASStR framework can guide the design, development, and implementation of operational metrics in outpatient health care settings. Further, this framework can assist investigators in the evaluation of the metrics that they are using. Overall, the FASStR framework can result in clearer, more consistent use and evaluation of outpatient performance metrics.
DOI 10.37765/ajmc.2020.43492
Cilt 26
Özyeğin University - Ottoman library catalog search
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