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

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

doi:10.3233/SHTI220104

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

Stud Health Technol Inform. 2022 Jun 6:290:395-399. doi: 10.3233/SHTI220104.

Authors

Ania Syrowatka^{1

2}, Troy Li¹, Mica Curtin-Bowen¹, Avery Pullman¹, Stuart R Lipsitz^{1

2}, Michael Sainlaire¹, Wenyu Song^{1

2}, Tien Thai¹, Alexandra Businger¹, Kevin J Bozic³, William A Jiranek⁴, Jay R Lieberman⁵, David W Bates^{1

2}, Patricia C Dykes^{1

2}

Affiliations

¹ Department of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
² Harvard Medical School, Harvard University, Boston, MA, USA.
³ Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
⁴ Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
⁵ Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

PMID: 35673043
DOI: 10.3233/SHTI220104

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.

Keywords: Patient safety; electronic health records; orthopedics.

MeSH terms

Arthroplasty, Replacement, Hip*
Electronics
Humans
Inpatients
Quality Indicators, Health Care
Reproducibility of Results
Respiratory Insufficiency*