Evidence map›Paper›PMID 35303889›Full record

ArticleBMC health services research2022

Frontline physician burnout during the COVID-19 pandemic: national survey findings.

Joy Melnikow, Andrew Padovani, Marykate Miller

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
26.4field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Surgical trainee burnout during the COVID-19 pandemic: a systematic review.Annals of the Royal College of Surgeons of England · 2023
    Pooled it
  3. Pooled it
  4. When doctors falter: Resilience in modern obstetrics and gynecology, a narrative review.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Review
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  12. Experiences of U.S. frontline physicians during the COVID-19 pandemic: a qualitative study.Archives of public health = Archives belges de sante publique · 2025
    Article
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  20. Early-Career Motivation: Strategies for Sustaining Drive and Restoring Meaning in Academic Medicine.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2024
    Article
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

3 authors at 2 institutions in 1 country.

Joy MelnikowCenter for Healthcare Policy and Research, Department of Family and Community Medicine, University of California, Davis, USA. jamelnikow@ucdavis.edu.
Andrew PadovaniCenter for Healthcare Policy and Research, Department of Family and Community Medicine, University of California, Davis, USA.
Marykate MillerCenter for Healthcare Policy and Research, University of California, Davis, USA.
Center For Policy Research · USUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysician burnout and wellbeing are an ongoing concern. Limited research has reported on the impact of the COVID 19 pandemic on burnout over time among U.S. physicians.

methodsWe surveyed U.S. frontline physicians at two time points (wave one in May-June 2020 and wave two in Dec 2020-Jan 2021) using a validated burnout measure. The survey was emailed to a national stratified random sample of family physicians, internists, hospitalists, intensivists, emergency medicine physicians, and infectious disease physicians. Burnout was assessed with the Professional Fulfillment Index Burnout Composite scale (PFI-BC). Responses were weighted to account for sample design and non-response bias. Random effects and quantile regression analyses were used to estimate change in conditional mean and median PFI-BC scores, adjusting for physician, geographic, and pandemic covariates.

resultsIn the random effects regression, conditional mean burnout scores increased in the second wave among all respondents (difference 0.15 (CI: 0.24, 0.57)) and among respondents to both waves (balanced panel) (difference 0.21 (CI: - 0.42, 0.84)). Conditional burnout scores increased in wave 2 among all specialties except for Emergency medicine, with the largest increases among Hospitalists, 0.28 points (CI: - 0.19,0.76) among all respondents and 0.36 (CI: - 0.39,1.11) in the balanced panel, and primary care physicians, 0.21 (CI: - 0.23,0.66) among all respondents and 0.31 (CI: - 0.38,1.00) in the balanced panel. The conditional mean PFI-BC score among hospitalists increased from 1.10 (CI: 0.73,1.46) to 1.38 (CI: 1.02,1.74) in wave 2 in all respondents and from 1.49 (CI: 0.69,2.29) to 1.85 (CI: 1.24,2.46) in the balanced panel, near or above the 1.4 threshold indicating burnout. Findings from quantile regression were consistent with those from random effects.

conclusionsRates of physician burnout during the first year of the pandemic increased over time among four of five frontline specialties, with greatest increases among hospitalist and primary care respondents. Our findings, while not statistically significant, were consistent with worsening burnout; both the random effects and quantile regressions produced similar point estimates. Impacts of the ongoing pandemic on physician burnout warrant further research.

Indexed as

Burnout, ProfessionalCOVID-19HospitalistsHumansPandemicsSurveys and QuestionnairesCOVID-19Frontline physiciansPhysician burnoutPhysician wellbeing

Identifiers

PMID35303889
PMCPMC8933125
OpenAlexW4220912110

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.