Primary Care Provider Demographics and Engagement in Interprofessional Collaboration

Kylee A. Funk, Nitin Wahie, Nicholas Senne, Russell J. Funk

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Introduction: Interprofessional care contributes to all components of the quadruple aim. While previous research has identified many facilitators and barriers to the provision of interprofessional care, whether demographic differences might influence the extent to which providers collaborate interprofessionally remains unknown. Methods: Using electronic health record data, we characterized the level of primary care providers’ (PCPs’) interprofessional collaboration based on the percent of their patients who had a visit with an interprofessional team member over a 14-month period. We then obtained demographic data, including gender, years in practice, and provider type, from the electronic health record and publicly available sources. Subsequently, we used linear regression to predict the PCPs’ level of interprofessional collaboration based on demographic indicators. Results: The median of each PCP’s patients who had a visit with an interprofessional team member during the study period was 12.6%. After controlling for the average age of the PCP’s patient panel, the PCP’s years in practice, and the PCP’s clinic, when compared with male PCPs, approximately 2% more of patients cared for by female PCPs had a visit with an interprofessional team member. Conclusion: Female providers are more likely to share their patients with an interprofessional team.

Original languageEnglish (US)
Pages (from-to)88-94
Number of pages7
JournalJournal of the American Board of Family Medicine
Volume36
Issue number1
DOIs
StatePublished - Jan 2023

Bibliographical note

Funding Information:
Funding: This work was funded as a University of Minnesota Office of Academic Clinical Affairs BOLD ideas project.

Publisher Copyright:
© 2023 American Board of Family Medicine. All rights reserved.

Keywords

  • Demography
  • Gender Differences
  • Interdisciplinary Health Team
  • Linear Regression
  • Patient Care Team
  • Primary Health Care
  • Workforce

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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