Skip to main content

Main menu

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers

User menu

  • My alerts

Search

  • Advanced search
Annals of Family Medicine
  • My alerts
Annals of Family Medicine

Advanced Search

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers
  • Follow annalsfm on Twitter
  • Visit annalsfm on Facebook
Research ArticleOriginal Research

Burnout and Health Care Workforce Turnover

Rachel Willard-Grace, Margae Knox, Beatrice Huang, Hali Hammer, Coleen Kivlahan and Kevin Grumbach
The Annals of Family Medicine January 2019, 17 (1) 36-41; DOI: https://doi.org/10.1370/afm.2338
Rachel Willard-Grace
1Department of Family & Community Medicine, University of California San Francisco, San Francisco, California
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Rachel.Willard@ucsf.edu
Margae Knox
1Department of Family & Community Medicine, University of California San Francisco, San Francisco, California
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Beatrice Huang
1Department of Family & Community Medicine, University of California San Francisco, San Francisco, California
BA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hali Hammer
2San Francisco Health Network, San Francisco, California
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Coleen Kivlahan
3University of California San Francisco School of Medicine, San Francisco, California
MD, MSPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kevin Grumbach
1Department of Family & Community Medicine, University of California San Francisco, San Francisco, California
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • Figure 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1

    Rates of turnover among clinicians and staff with and without burnout, unadjusted for covariates and clustering.

  • Figure 2
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2

    Rates of turnover among clinicians and staff according to level of employee engagement, unadjusted for covariates and clustering.

Tables

  • Figures
  • Additional Files
    • View popup
    Table 1

    Respondent Characteristics (N = 740)

    CharacteristicClinicians (n = 252)Staff (n = 488)
    Position, % (No.)
     Physician (nonresident)79.0 (199)−
     Nurse practitioner/Physician assistant21.0 (53)−
     Nurse (RN or LVN)−21.7 (106)
     Medical assistant−30.9 (151)
     Front office/clerical−25.2 (123)
     Behavioral health−8.4 (41)
     Other−13.7 (67)
    Tenure at time of survey, % (No.)
     <1 year16.8 (42)22.8 (111)
     1-5 years30.0 (75)36.8 (179)
     >5 years53.2 (133)40.3 (196)
     Full- vs part-time (staff only), % (No.)
     Full-time (≥20 hours/week)−91.9 (445)
     Part-time (<20 hours/week)−8.1 (39)
     Half-days worked per week, (clinicians only), % (No.)
     1-2 half-days/wk37.9 (94)−
     3-5 half-days/wk37.5 (93)−
     ≥6 half-days/wk24.6 (61)−
    Year of survey, % (No.)
     201373.0 (184)60.7 (296)
     201427.0 (68)39.3 (192)
    Burned out,b % (No./No. responding)53.2 (132/248)52.8 (249/472)
    MBI emotional exhaustionc
     Exhaustion score, mean (SD)15.3 (7.4)13.8 (8.2)
     Low exhaustion (0-10), % (No.)29.2 (72)38.0 (180)
     Moderate exhaustion (11-15), % (No.)23.1 (57)17.9 (85)
     High exhaustion (≥16), % (No.)47.8 (118)44.1 (209)
    MBI cynicismc
     Cynicism score, mean (SD)8.8 (6.9)8.3 (7.2)
     Low cynicism (0-5), % (No.)39.1 (97)45.2 (212)
     Moderate cynicism (6-10), % (No.)27.8 (69)20.7 (97)
     High cynicism (≥11), % (No.)33.1 (82)34.1 (160)
    Engagement: likelihood to recommend clinic as a place to workd
     Net promoter score, mean (SD)6.9 (2.5)6.9 (2.7)
     Detractor (0-6), % (No.)36.0 (89)36.7 (172)
     Passively satisfied (7-8), % (No.)32.0 (79)28.8 (135)
     Promoter (9-10), % (No.)32.0 (79)34.5 (162)
    Turnover, % (No.)30.2 (76)41.2 (201)
    • LVN = licensed vocational nurse; MBI = Maslach Burnout Inventory; RN = registered nurse.

    • a P values derived from Pearson χ2 analysis for categorical variables and independent samples t tests for continuous variables.

    • ↵b Burned out was defined as reporting either high exhaustion or high cynicism.

    • ↵c MBI exhaustion and cynicism subscales have possible ranges of 1 to 30, with 30 being most severe emotional exhaustion or cynicism.

    • ↵d Likelihood to recommend clinic as place to work item has a possible range of 0 to 10, with 10 being the most positive rating.

    • View popup
    Table 2

    Multivariate Models of Burnout and Employee Engagement as Predictors of Turnover

    Group and PredictoraOR (95% CI) for TurnoverRobust Standard ErrorP Value
    Clinicians (n = 242 to 244)
     Burned out1.57 (1.02-2.40)0.34.04
     Highly engaged0.58 (0.33-1.04)0.17.07
    Staff (n = 464 to 468)
     Burned out1.09 (0.66-1.82)0.28.73
     Highly engaged0.99 (0.57-1.71)0.28.96
    • a OR = adjusted odds ratio.

    • Notes: Results of multivariate logistic regression analysis. Four multivariate regression models are represented in this table: burnout and employee engagement were run in separate models, and the models were repeated for clinicians and for staff. Adjusted for covariates and clustering by clinic. Burnout and engagement (likelihood to recommend the clinic) were tested in separate regression models that included only 1 of these predictors at a time, along with the covariates.

Additional Files

  • Figures
  • Tables
  • Supplemental Appendixes

    Supplemental Appendixes

    Files in this Data Supplement:

    • Supplemental data: Appendixes - PDF file
  • The Article in Brief

    Burnout and Health Care Workforce Turnover

    Rachel Willard-Grace , and colleagues

    Background Burnout is alarmingly high among primary care clinicians and staff, but is it related to turnover of personnel?

    What This Study Found New research finds that burnout contributes to turnover among primary care clinicians, but not staff. The study of 740 primary care clinicians and staff in two health systems compared 2013-14 survey data on burnout and employee engagement (the likelihood of recommending their clinic as a place to work) with 2016 employment roster data. Fifty-three percent of both clinicians and staff reported burnout, while only one-third (32 percent of clinicians and 35 percent of staff) reported feeling highly engaged in their work. By 2016, 30 percent of clinicians and 41 percent of staff no longer worked in primary care in the same healthcare system. Clinicians who reported burnout in 2013-14 were more likely to leave the health system by 2016, taking into account their clinical time and length of time they had worked in the system. In regression models, neither burnout nor employee engagement predicted turnover for staff.

    Implications

    • The high rates of turnover, the authors suggest, have important implications for patient care. Continuity of care, which is a fundamental principle of primary care, is difficult to maintain in environments with frequent clinician and staff turnover. Furthermore, turnover is expensive for health care organizations.
    • Although reducing burnout may help decrease rates of turnover among clinicians, the authors urge health care organizations and policymakers concerned about primary care employee turnover to understand its multifactorial causes and develop effective retention strategies for clinicians and staff.
PreviousNext
Back to top

In this issue

The Annals of Family Medicine: 17 (1)
The Annals of Family Medicine: 17 (1)
Vol. 17, Issue 1
January/February 2019
  • Table of Contents
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
  • In Brief
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 Annals 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.
Burnout and Health Care Workforce Turnover
(Your Name) has sent you a message from Annals of Family Medicine
(Your Name) thought you would like to see the Annals 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.
8 + 4 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Burnout and Health Care Workforce Turnover
Rachel Willard-Grace, Margae Knox, Beatrice Huang, Hali Hammer, Coleen Kivlahan, Kevin Grumbach
The Annals of Family Medicine Jan 2019, 17 (1) 36-41; DOI: 10.1370/afm.2338

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Get Permissions
Share
Burnout and Health Care Workforce Turnover
Rachel Willard-Grace, Margae Knox, Beatrice Huang, Hali Hammer, Coleen Kivlahan, Kevin Grumbach
The Annals of Family Medicine Jan 2019, 17 (1) 36-41; DOI: 10.1370/afm.2338
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Evaluation of two easy-to-implement digital breathing interventions in the context of daily stress levels in a series of N-of-1 trials: results from the Anti-Stress Intervention Among Physicians (ASIP) Study
  • Exploring rural Scottish GPs migration decisions: a secondary qualitative analysis considering burnout
  • Assessing the Types, Causes, and Levels of Radiologic Technologist Burnout During the COVID-19 Pandemic
  • Caregiving Responsibilities, Organizational Policy, and Burnout Among Primary Care Clinicians and Staff
  • Evaluation of easy-to-implement anti-stress interventions in a series of N-of-1 trials: Study protocol of the Anti-Stress Intervention Among Physicians Study (ASIP)
  • Self-compassion letter tool for healthcare worker well-being: a qualitative descriptive analysis
  • Physiotherapy Under Pressure: A Cross-Sectional Study on The Interplay Between Perfectionism, Moral Injury, and Burnout
  • Sports medicine - it takes a team and a team needs leaders
  • Ensuring Community Is at the Table in Family and Community Medicine Research: Highlighting Dr. Kevin Grumbachs Speech as Recipient of the 2022 NAPCRG Wood Award
  • Why Do Physicians Depart Their Practice? A Qualitative Study of Attrition in a Multispecialty Ambulatory Practice Network
  • Exploring the relationship between simulation-based team training and sick leave among healthcare professionals: a cohort study across multiple hospital sites
  • Burnout and Commitment After 18 Months of the COVID-19 Pandemic: A Follow-Up Qualitative Study with Primary Care Teams
  • Primary Cares Challenges and Responses in the Face of the COVID-19 Pandemic: Insights From AHRQs Learning Community
  • Primary Care Research Is Hard to Do During COVID-19: Challenges and Solutions
  • Burnout, Depression, Anxiety, and Stress Among Family Physicians in Kansas: 18 Months into the COVID-19 Pandemic
  • Revitalizing Primary Care, Part 1: Root Causes of Primary Cares Problems
  • Burnout, Depression, Anxiety, and Stress Among Family Physicians in Kansas: 18 Months into the COVID-19 Pandemic
  • Designing the careful and kind clinic: an evidence-based approach
  • Primary care workforce composition and population, professional, and system outcomes: a retrospective cross-sectional analysis
  • Clinic Factors Associated With Mailed Fecal Immunochemical Test (FIT) Completion: The Difference-Making Role of Support Staff
  • Burnout and Commitment to Primary Care: Lessons From the Early Impacts of COVID-19 on the Workplace Stress of Primary Care Practice Teams
  • The Effects of Major Disruptions on Practice Participation in Facilitation During a Primary Care Quality Improvement Initiative
  • Differences in Occupational Burnout Among Primary Care Professionals
  • Lower Likelihood of Burnout Among Family Physicians From Underrepresented Racial-Ethnic Groups
  • Loneliness, Burnout, and Other Types of Emotional Distress Among Family Medicine Physicians: Results From a National Survey
  • Do Medical Scribes Help Primary Care Providers Respond More Quickly to Out-of-Visit Tasks?
  • Team Configurations, Efficiency, and Family Physician Burnout
  • Gender Differences in Personal and Organizational Mechanisms to Address Burnout Among Family Physicians
  • Burnout Among Family Physicians by Gender and Age
  • Associations Between Burnout and Practice Organization in Family Physicians
  • Capacity to Address Social Needs Affects Primary Care Clinician Burnout
  • A Longitudinal Study of Trends in Burnout During Primary Care Transformation
  • In This Issue: Humans of Primary Care Research
  • Google Scholar

More in this TOC Section

  • Teamwork Among Primary Care Staff to Achieve Regular Follow-Up of Chronic Patients
  • Shared Decision Making Among Racially and/or Ethnically Diverse Populations in Primary Care: A Scoping Review of Barriers and Facilitators
  • Convenience or Continuity: When Are Patients Willing to Wait to See Their Own Doctor?
Show more Original Research

Similar Articles

Subjects

  • Methods:
    • Quantitative methods
  • Other research types:
    • Professional practice

Keywords

  • primary care
  • burnout
  • turnover
  • retention
  • satisfaction
  • workforce
  • workplace engagement
  • practice-based research

Content

  • Current Issue
  • Past Issues
  • Early Access
  • Plain-Language Summaries
  • Multimedia
  • Podcast
  • Articles by Type
  • Articles by Subject
  • Supplements
  • Calls for Papers

Info for

  • Authors
  • Reviewers
  • Job Seekers
  • Media

Engage

  • E-mail Alerts
  • e-Letters (Comments)
  • RSS
  • Journal Club
  • Submit a Manuscript
  • Subscribe
  • Family Medicine Careers

About

  • About Us
  • Editorial Board & Staff
  • Sponsoring Organizations
  • Copyrights & Permissions
  • Contact Us
  • eLetter/Comments Policy

© 2025 Annals of Family Medicine