Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Team Configurations, Efficiency, and Family Physician Burnout

Mingliang Dai, Rachel Willard-Grace, Margae Knox, Samantha A. Larson, Michael K. Magill, Kevin Grumbach and Lars E. Peterson
The Journal of the American Board of Family Medicine May 2020, 33 (3) 368-377; DOI: https://doi.org/10.3122/jabfm.2020.03.190336
Mingliang Dai
From American Board of Family Medicine, Lexington, KY (MD, LEP); Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, KG); University of California, Berkeley (MK); University of Florida, Gainsville (SAL); Department of Family and Preventive Medicine, University of Utah, Salt Lake City (MKM); Department of Family and Community Medicine, University of Kentucky, Lexington (LEP).
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rachel Willard-Grace
From American Board of Family Medicine, Lexington, KY (MD, LEP); Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, KG); University of California, Berkeley (MK); University of Florida, Gainsville (SAL); Department of Family and Preventive Medicine, University of Utah, Salt Lake City (MKM); Department of Family and Community Medicine, University of Kentucky, Lexington (LEP).
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Margae Knox
From American Board of Family Medicine, Lexington, KY (MD, LEP); Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, KG); University of California, Berkeley (MK); University of Florida, Gainsville (SAL); Department of Family and Preventive Medicine, University of Utah, Salt Lake City (MKM); Department of Family and Community Medicine, University of Kentucky, Lexington (LEP).
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Samantha A. Larson
From American Board of Family Medicine, Lexington, KY (MD, LEP); Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, KG); University of California, Berkeley (MK); University of Florida, Gainsville (SAL); Department of Family and Preventive Medicine, University of Utah, Salt Lake City (MKM); Department of Family and Community Medicine, University of Kentucky, Lexington (LEP).
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael K. Magill
From American Board of Family Medicine, Lexington, KY (MD, LEP); Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, KG); University of California, Berkeley (MK); University of Florida, Gainsville (SAL); Department of Family and Preventive Medicine, University of Utah, Salt Lake City (MKM); Department of Family and Community Medicine, University of Kentucky, Lexington (LEP).
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kevin Grumbach
From American Board of Family Medicine, Lexington, KY (MD, LEP); Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, KG); University of California, Berkeley (MK); University of Florida, Gainsville (SAL); Department of Family and Preventive Medicine, University of Utah, Salt Lake City (MKM); Department of Family and Community Medicine, University of Kentucky, Lexington (LEP).
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lars E. Peterson
From American Board of Family Medicine, Lexington, KY (MD, LEP); Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, KG); University of California, Berkeley (MK); University of Florida, Gainsville (SAL); Department of Family and Preventive Medicine, University of Utah, Salt Lake City (MKM); Department of Family and Community Medicine, University of Kentucky, Lexington (LEP).
MD, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    Figure 1.

    Family physician burnout by perceived teamwork efficiency.

Tables

  • Figures
    • View popup
    Table 1.

    Care Team Configurations of Family Physicians in Continuity Practice by Practice and Physician Characteristics

    ParameterFull Sample, % (N)MA/Nurse Only, % (N)MA/Nurse + NP/PA or Specialist, % (N)MA/Nurse + NP/PA and Specialist, % (N)P Value
    Full sample100% (2575)22% (565)40% (1040)38% (970)
    Practice organization*
        Academic health center7% (189)6% (11)31% (58)63% (120)
        Safety net9% (238)2% (4)24% (58)74% (176)
        Hospital owned35% (895)20% (179)46% (415)34% (301)
        Independently owned32% (823)39% (323)46% (381)14% (119)
    Managed care/HMO6% (148)14% (21)36% (53)50% (74)
        Other11% (282)10% (27)27% (75)64% (180)
    Practice size*
        Solo11% (285)75% (213)22% (63)3% (9)
        Small (2–5)34% (863)26% (224)54% (463)20% (176)
        Medium (6–20)32% (834)8% (63)42% (351)50% (420)
        Large (>20)23% (593)11% (65)27% (163)62% (365)
    Social deprivation†*
        High deprivation20% (517)25% (131)36% (187)38% (199)
        Not high deprivation80% (2058)21% (434)41% (853)37% (771)
    Practice environment
        Satisfaction with practice*
        Satisfied82% (2102)21% (436)41% (855)39% (811)
        Not satisfied18% (473)27% (129)39% (185)34% (159)
    Control over workload*
        Satisfactory68% (1758)25% (432)40% (706)35% (620)
        Not satisfactory32% (817)16% (133)41% (334)43% (350)
    Value alignment*
        Aligned64% (1648)20% (334)40% (659)40% (655)
        Not aligned36% (927)25% (231)41% (381)34% (315)
    Physician characteristics
        Age*
            Under 4012% (314)18% (55)39% (121)44% (138)
            41–5037% (953)21% (197)42% (397)38% (359)
            51–6034% (873)23% (199)39% (340)38% (334)
            Over 6017% (435)26% (114)42% (182)32% (139)
        Sex*
            Female46% (1177)20% (240)39% (462)40% (475)
            Male54% (1398)23% (325)41% (578)35% (495)
        Degree
            MD89% (2292)23% (516)40% (912)38% (864)
            DO11% (283)17% (49)45% (128)37% (106)
        Race*
            White72% (1860)20% (375)41% (764)39% (721)
            Black5% (141)24% (34)40% (56)36% (51)
            Asian14% (364)30% (109)36% (130)34% (125)
            Other8% (210)22% (47)43% (90)35% (73)
        Ethnicity
            Hispanic7% (185)26% (49)34% (63)39% (73)
            Non-Hispanic93% (2390)22% (516)41% (977)38% (897)
    • ↵* P < .05.

    • ↵† High deprivation if social deprivation index was ≥75.

    • MA, medical assistant; NP, nurse practitioner; PA, physician assistant; HMO, health maintenance organization.

    • View popup
    Table 2.

    Perceived Teamwork Efficiency by Care Team Configuration

    Team Configuration*Perceived Teamwork Efficiency, N (%)
    OptimalGoodPoor
    All teams351 (14%)2049 (80%)175 (7%)
    MA/nurse only92 (16%)439 (78%)34 (6%)
    MA/nurse + NP/PA or specialist139 (13%)827 (80%)74 (7%)
    MA/nurse + NP/PA and specialist120 (12%)783 (81%)67 (7%)
    • ↵* χ2 = 5.19, P = .27.

    • MA, medical assistant; NP, nurse practitioner; PA, physician assistant.

    • View popup
    Table 3.

    Prevalence of Burnout by Team Configuration and Practice and Physician Characteristics

    ParameterFull Sample, % (N)Burnout, %P Value
    Full sample100% (2575)41%
    Team configuration
        MA/nurse only22% (565)38%
        MA/nurse + NP/PA or specialist40% (1040)43%
        MA/nurse + NP/PA and specialist38% (970)41%
    Practice organization*
        Academic7% (189)34%
        Safety net9% (238)42%
        Hospital owned35% (895)45%
        Independently owned32% (823)40%
        Managed care/HMO6% (148)41%
        Other11% (282)38%
    Practice size*
        Solo11% (285)35%
        Small (2–5)34% (863)45%
        Medium (6–20)32% (834)41%
        Large (>20)23% (593)40%
    Social deprivation†*
        High deprivation20% (517)35%
        Not high deprivation80% (2058)43%
    Practice environment
        Satisfaction with practice*
        Satisfied82% (2102)35%
        Not satisfied18% (473)68%
    Control over workload*
        Satisfactory68% (1758)30%
        Not satisfactory32% (817)67%
    Value alignment*
        Aligned64% (1648)32%
        Not aligned36% (927)58%
    Physician characteristics
        Age*
            Under 4012% (314)42%
            41–5037% (953)43%
            51–6034% (873)43%
        Over 6017% (435)33%
        Sex*
            Female46% (1177)45%
            Male54% (1398)38%
        Degree
            MD89% (2292)42%
            DO11% (283)37%
        Race
            White72% (1860)42%
            Black5% (141)40%
            Asian14% (364)38%
            Other8% (210)41%
        Ethnicity
            Hispanic7% (185)35%
            Non-Hispanic93% (2390)42%
    • ↵* P < .05.

    • ↵† High deprivation if social deprivation index was ≥75.

    • MA, medical assistant; NP, nurse practitioner; PA, physician assistant; HMO, health maintenance organization.

    • View popup
    Table 4.

    Logistic Regression Estimates of Perceived Teamwork Efficiency on Burnout, Stratified by Team Configuration

    Team Configuration*Perceived Teamwork EfficiencyBurnout
    Odds Ratio95% CI
    MA/nurse only†PoorReference
    Good1.290.53–3.13
    Optimal0.580.20–1.65
    MA/nurse + NP/PA or specialist‡PoorReference
    Good0.860.48–1.53
    Optimal0.54§0.27–1.09
    MA/nurse + NP/PA and specialist‖PoorReference
    Good0.750.40–1.40
    Optimal0.40§0.18–0.88
    • ↵* For all team configurations, satisfaction with practice, having control over workload, and having professional values aligned with practice management were significantly associated with reduced odds of burnout.

    • ↵† For teams with MA/nurse only, other significant contributing factors of burnout were being female and practicing in highly socially deprived counties.

    • ↵‡ For teams with MA/nurse + NP/PA or specialist, no other factors were significantly associated with increased odds of burnout.

    • ↵§ P < .05.

    • ↵‖ For teams with MA/nurse + NP/PA and specialist, other significant contributing factors of burnout were being female, MD, and practicing in independently owned practices.

    • MA, medical assistant; NP, nurse practitioner; PA, physician assistant; CI, confidence interval.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 33 (3)
The Journal of the American Board of Family Medicine
Vol. 33, Issue 3
May/June 2020
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Team Configurations, Efficiency, and Family Physician Burnout
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
1 + 5 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Team Configurations, Efficiency, and Family Physician Burnout
Mingliang Dai, Rachel Willard-Grace, Margae Knox, Samantha A. Larson, Michael K. Magill, Kevin Grumbach, Lars E. Peterson
The Journal of the American Board of Family Medicine May 2020, 33 (3) 368-377; DOI: 10.3122/jabfm.2020.03.190336

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Team Configurations, Efficiency, and Family Physician Burnout
Mingliang Dai, Rachel Willard-Grace, Margae Knox, Samantha A. Larson, Michael K. Magill, Kevin Grumbach, Lars E. Peterson
The Journal of the American Board of Family Medicine May 2020, 33 (3) 368-377; DOI: 10.3122/jabfm.2020.03.190336
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • The effect of general practice team composition and climate on staff and patient experiences: a systematic review
  • Qualitative examination of collaboration in team-based primary care during the COVID-19 pandemic
  • Revitalizing Primary Care, Part 2: Hopes for the Future
  • Well-Being, New Technologies, and Clinical Evidence for Family Physicians
  • Google Scholar

More in this TOC Section

  • Successful Implementation of Integrated Behavioral Health
  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
  • Integrating Adverse Childhood Experiences and Social Risks Screening in Adult Primary Care
Show more Original Research

Similar Articles

Keywords

  • Efficiency
  • Family Physicians
  • Patient Care Team
  • Professional Burnout
  • Surveys and Questionnaires

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire