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

Name: 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.

İsim	FASStR: A framework for ensuring high-quality operational metrics in health care
Yazar	Torabi, E., Çayırlı, Tuğba, Froehle, C. M., Klassen, K. J., Magazine, M., White, D. L., Ward, M. J.
Basım Tarihi:	2020-06
Basım Yeri	- Managed Care & Healthcare Communications, LLC
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1088-0224
Kayıt Numarası	53e8eb2b-ec46-401f-adb1-556149436379
Lokasyon	Business Administration
Tarih	2020-06
Notlar	College of Business at James Madison University - National Heart, Lung, and Blood Institute
Örnek Metin	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

Yazar Torabi, E., Çayırlı, Tuğba, Froehle, C. M., Klassen, K. J., Magazine, M., White, D. L., Ward, M. J.

Basım Tarihi 2020-06

Basım Yeri - Managed Care & Healthcare Communications, LLC

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1088-0224

Kayıt Numarası 53e8eb2b-ec46-401f-adb1-556149436379

Lokasyon Business Administration

Tarih 2020-06

Notlar College of Business at James Madison University - National Heart, Lung, and Blood Institute

Örnek Metin 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