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Testing a Novel Inpatient Respiratory Depression Electronic Clinical Quality Measure (eCQM) for Orthopedic Practice in Two Large U.S. Health Systems

Year: 2022

Type: book-chapter

Abstract: The objective of this study was to assess the feasibility of using an electronic clinical quality measure (eCQM) to assess inpatient respiratory depression rates following elective primary total hip or total knee arthroplasty using data routinely collected in electronic health records. Measure testing was conducted at two large urban, academic health systems - Mass General Brigham and a geographically distant system in southern U.S. The risk-adjusted inpatient respiratory depression rates were 3.83 and 2.73% for the two health systems, respectively. Clinician group rates ranged from 1.40 to 4.35%, demonstrating opportunity for improvement. Both the data and measure specifications showed strong reliability and validity to allow for calculation of accurate and comparable rates of inpatient respiratory depression.

Source: Studies in health technology and informatics

DOI: 10.3233/shti220104

Authors: Ania Syrowatka, Troy Li, Mica Curtin-Bowen, Avery Pullman, Stuart R. Lipsitz, Michael Sainlaire, Wenyu Song, Tien Thai, Alexandra Businger, Kevin J. Bozic, William A. Jiranek, Jay R. Lieberman, David W. Bates, Patricia C. Dykes

Institutions: Brigham and Women's Hospital, Harvard University, The University of Texas at Austin, Duke University, University of Southern California

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4282027668

FWCI:

Cites: 4

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Related to: 10