Evidence map›Paper›PMID 34042994›Full record

ArticleJAMA network open2021

Personal and Professional Factors Associated With Work-Life Integration Among US Physicians.

Daniel S Tawfik, Tait D Shanafelt, Liselotte N Dyrbye, Christine A Sinsky, Colin P West, Alexis S Davis, Felice Su, Kathryn C Adair, Mickey T Trockel, Jochen Profit and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
18.9field-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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Review
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  10. Improving well-being among women in neonatology.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
  11. Perspectives and needs of neonatology division directors regarding gender equity.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Review
  12. Impact of shift durations on sleep, fatigue, and wellness among neonatologists: a cross-sectional survey analysis.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
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  16. Observational
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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

11 authors at 4 institutions in 1 country.

Daniel S TawfikDivision of Pediatric Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.
Tait D ShanafeltDepartment of Medicine, Stanford University School of Medicine, Stanford, California.
Liselotte N DyrbyeDepartment of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Christine A SinskyAmerican Medical Association, Chicago, Illinois.
Colin P WestDepartment of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Alexis S DavisDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.
Felice SuDivision of Pediatric Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.
Kathryn C AdairDuke Center for Healthcare Safety and Quality, Duke University Health System, Durham, North Carolina.
Mickey T TrockelDepartment of Psychiatry, Stanford University School of Medicine, Stanford, California.
Jochen ProfitPerinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.
J Bryan SextonDuke Center for Healthcare Safety and Quality, Duke University Health System, Durham, North Carolina.
Stanford University · USDuke University Health System · USMayo Clinic · USAmerican Medical Association · US

Funding

The WISER StudyR01HD084679 · NICHD · STANFORD UNIVERSITY · PI PROFIT, JOCHEN, SEXTON, JOHN BRYAN · 2015 to 2018
$2.2M
Development and Validation of a Prediction Model to Address Physician BurnoutK08HS027837 · AHRQ · STANFORD UNIVERSITY · PI TAWFIK, DANIEL · 2020 to 2024
$762k
AHRQ HHS K08 HS027837
6 · The paper itself

Abstract

Importance: Poor work-life integration (WLI) occurs when career and personal responsibilities come in conflict and may contribute to the ongoing high rates of physician burnout. The characteristics associated with WLI are poorly understood. Objective: To identify personal and professional factors associated with WLI in physicians and identify factors that modify the association between gender and WLI. Design, Setting, and Participants: This cross-sectional study was based on electronic and paper surveys administered October 2017 to March 2018 at private, academic, military, and veteran's practices across the US. It used a population-based sample of US physicians across all medical specialties. Data analysis was performed from November 2019 to July 2020. Main Outcomes and Measures: WLI was assessed using an 8-item scale (0-100 point scale, with higher scores indicating favorable WLI), alongside personal and professional factors. Multivariable linear regressions evaluated independent associations with WLI as well as factors that modify the association between gender and WLI. Results: Of 5197 physicians completing surveys, 4370 provided complete responses. Of the physicians who provided complete responses, 2719 were men, 3491 were White/Caucasian (80.8%), 3560 were married (82.4%), and the mean (SD) age was 52.3 (12.0) years. The mean (SD) WLI score was 55 (23). Women reported lower (worse) mean (SD) WLI scores than men overall (52 [22] vs 57 [23]; mean difference, -5 [-0.2 SDs]; P < .001). In multivariable regression, lower WLI was independently associated with being a woman (linear regression coefficient, -6; SE, 0.7; P < .001) as well as being aged 35 years or older (eg, aged 35 to 44 years: linear regression coefficient, -7; SE, 1.4; P < .001), single (linear regression coefficient, -3 vs married; SE, 1.1; P = .003), working more hours (eg, 50 to 59 hours per week vs less than 40 hours per week: linear regression coefficient, -9; SE, 1.0; P < .001) and call nights (linear regression coefficient, -1 for each call night per week; SE, 0.2; P < .001), and being in emergency medicine (linear regression coefficient, -18; SE, 1.6, P < .001), urology (linear regression coefficient, -11; SE, 4.0; P = .009), general surgery (linear regression coefficient, -4; SE, 2.0; P = .04), anesthesiology (linear regression coefficient, -4; SE, 1.7; P = .03), or family medicine (linear regression coefficient, -3; SE, 1.4; P = .04) (reference category, internal medicine subspecialties). In interaction modeling, physician age, youngest child's age, and hours worked per week modified the associations between gender and WLI, such that the largest gender disparities were observed in physicians who were aged 45 to 54 years (estimated WLI score for women, 49; 95% CI, 47-51; estimated WLI score for men, 57, 95% CI, 55-59; P < .001), had youngest child aged 23 years or older (estimated WLI score for women, 51; 95% CI, 48-54; estimated WLI score for men, 60; 95% CI, 58-62; P < .001), and were working less than 40 hours per week (estimated WLI score for women, 61; 95% CI, 59-63; estimated WLI score for men; 70; 95% CI, 68-72; P < .001). Conclusions and Relevance: This study found that lower WLI was reported by physicians who are women, single, aged 35 years or older, and who work more hours and call nights. These findings suggest that systemic change is needed to improve WLI among physicians.

Indexed as

Adaptation, PsychologicalJob SatisfactionWork-Life BalanceAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPhysiciansSex FactorsSurveys and QuestionnairesUnited States

Identifiers

PMID34042994
PMCPMC8160595
OpenAlexW3165411352

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.