Evidence map›Paper›PMID 38012726›Full record

ArticleBMC health services research2023

Burnout, employee engagement, and changing organizational contexts in VA primary care during the early COVID-19 pandemic.

Eric A Apaydin, Danielle E Rose, Michael R McClean, David C Mohr, Elizabeth M Yano, Paul G Shekelle, Karin M Nelson, Rong Guo, Caroline K Yoo, Susan E Stockdale

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Physician Experience of Discrimination in a Leadership and Well-Being Program.Journal of the American Board of Family Medicine : JABFM · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Eric A ApaydinCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd. (151), Los Angeles, CA, 90073, USA. eric.apaydin@va.gov.
Danielle E RoseCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd. (151), Los Angeles, CA, 90073, USA.
Michael R McCleanCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd. (151), Los Angeles, CA, 90073, USA.
David C MohrNational Center for Organization Development, Veterans Health Administration, Cincinnati, OH, USA.
Elizabeth M YanoCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd. (151), Los Angeles, CA, 90073, USA.
Paul G ShekelleCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd. (151), Los Angeles, CA, 90073, USA.
Karin M NelsonSeattle-Denver Center of Innovation, VA Puget Sound Health Care System, Seattle, WA, USA.
Rong GuoCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd. (151), Los Angeles, CA, 90073, USA.
Caroline K YooCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd. (151), Los Angeles, CA, 90073, USA.
Susan E StockdaleCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd. (151), Los Angeles, CA, 90073, USA.
Center for the Study of Healthcare Provider Behavior · USUniversity of California, Los Angeles · USVA Greater Los Angeles Healthcare System · USBoston University · USUniversity of Washington · US

Funding

Reducing Burnout among VA PCPs Using Evidence-Based Quality ImprovementIK2HX003534 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI Eric Andrew Apaydin · 2023 to 2026
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HSR&D Merit Review Research Career Scientist (RCS) Award (IK6)IK6HX002836 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI ELIZABETH M YANO · 2020 to 2026
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HSRD VA IK2 HX003534HSRD VA IK6 HX002836
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic involved a rapid change to the working conditions of all healthcare workers (HCW), including those in primary care. Organizational responses to the pandemic, including a shift to virtual care, changes in staffing, and reassignments to testing-related work, may have shifted more burden to these HCWs, increasing their burnout and turnover intent, despite their engagement to their organization. Our objectives were (1) to examine changes in burnout and intent to leave rates in VA primary care from 2017-2020 (before and during the pandemic), and (2) to analyze how individual protective factors and organizational context affected burnout and turnover intent among VA primary care HCWs during the early months of the pandemic.

methodsWe analyzed individual- and healthcare system-level data from 19,894 primary care HCWs in 139 healthcare systems in 2020. We modeled potential relationships between individual-level burnout and turnover intent as outcomes, and individual-level employee engagement, perceptions of workload, leadership, and workgroups. At healthcare system-level, we assessed prior-year levels of burnout and turnover intent, COVID-19 burden (number of tests and deaths), and the extent of virtual care use as potential determinants. We conducted multivariable analyses using logistic regression with standard errors clustered by healthcare system controlled for individual-level demographics and healthcare system complexity.

resultsIn 2020, 37% of primary care HCWs reported burnout, and 31% reported turnover intent. Highly engaged employees were less burned out (OR = 0.57; 95% CI 0.52-0.63) and had lower turnover intent (OR = 0.62; 95% CI 0.57-0.68). Pre-pandemic healthcare system-level burnout was a major predictor of individual-level pandemic burnout (p = 0.014). Perceptions of reasonable workload, trustworthy leadership, and strong workgroups were also related to lower burnout and turnover intent (p < 0.05 for all). COVID-19 burden, virtual care use, and prior year turnover were not associated with either outcome.

conclusionsEmployee engagement was associated with a lower likelihood of primary care HCW burnout and turnover intent during the pandemic, suggesting it may have a protective effect during stressful times. COVID-19 burden and virtual care use were not related to either outcome. Future research should focus on understanding the relationship between engagement and burnout and improving well-being in primary care.

Indexed as

Burnout, ProfessionalCOVID-19Health PersonnelHumansPandemicsPrimary Health CareSurveys and QuestionnairesWork EngagementBurnoutCOVID-19Employee engagementHealthcare workforcePrimary careVirtual care

Identifiers

PMID38012726
PMCPMC10683139
OpenAlexW4389048099

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.