Evidence map›Paper›PMID 32956717›Full record

ArticleChest2021

A National Survey of Burnout and Depression Among Fellows Training in Pulmonary and Critical Care Medicine: A Special Report by the Association of Pulmonary and Critical Care Medicine Program Directors.

Michelle Sharp, Kristin M Burkart, Mark H Adelman, Rendell W Ashton, Lee Daugherty Biddison, Gabriel T Bosslet, Stephen T Doyle, Thomas Eckmann, Malik M Khurram S Khan, Peter H Lenz and 9 more

Open access · greenAbstract read
In one paragraph

Article in Chest, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.9field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  13. Article
  14. Burnout Syndrome in Lung Transplant Physicians.Clinical medicine & research · 2023
    Article
  15. Article
  16. Burnout in Critical Care: Time for Moving Upstream.Annals of the American Thoracic Society · 2022
    Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 12 institutions in 1 country.

Michelle SharpDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD. Electronic address: msharp5@jhmi.edu.
Kristin M BurkartDivision of Pulmonary, Allergy, and Critical Care Medicine, Columbia University College of Physicians and Surgeons, New York, NY.
Mark H AdelmanDivision of Pulmonary, Critical Care and Sleep Medicine, NYU Grossman School of Medicine, New York, NY.
Rendell W AshtonDepartment of Pulmonary and Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland.
Lee Daugherty BiddisonDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Gabriel T BossletDivision of Pulmonary, Critical Care, Allergy, and Occupational Medicine, Indiana University School of Medicine, Indianapolis, IN.
Stephen T DoyleDivision of Pulmonary, Critical Care and Sleep Medicine, Spectrum Health, Grand Rapids, MI.
Thomas EckmannDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Malik M Khurram S KhanDivision of Pulmonary, Critical Care, and Sleep Medicine, University of Kentucky, Lexington, KY.
Peter H LenzDivision of Pulmonary, Critical Care, and Sleep Medicine, University of Cincinnati Medical Center, Cincinnati.
Jennifer W McCallisterDivision of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Jacqueline O'TooleDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Cynthia S RandDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Kristin A RiekertDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Morgan I SofflerDivision of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Gretchen R WinterDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL.
Sandra ZaehDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Michelle N EakinDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Consensus Expert Panel (CEP) Members
Johns Hopkins Medicine · USJohns Hopkins University · USUniversity of Alabama at Birmingham · USBeth Israel Deaconess Medical Center · USCleveland Clinic · USColumbia University · USIndiana University School of MedicineNew York University · USSpectrum Health · USThe Ohio State University Wexner Medical Center · USUniversity of Cincinnati · USUniversity of Kentucky · US

Funding

MULTIDISCIPLINARY TRAINING PROGRAM IN LUNG DISEASEST32HL007534 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Nadia N Hansel, Larissa A. Shimoda · 1985 to 2026
$28.3M
NHLBI NIH HHS T32 HL007534
6 · The paper itself

Abstract

backgroundThe prevalence of burnout and depressive symptoms is high among physician trainees. RESEARCH QUESTION: What is the burden of burnout and depressive symptoms among fellows training in pulmonary and critical care medicine (PCCM) and what are associated individual fellow, program, and institutional characteristics? STUDY DESIGN AND

methodsWe conducted a cross-sectional electronic survey of fellows enrolled in pulmonary, PCCM, and critical care medicine training programs in the United States to assess burnout and depressive symptoms. Burnout symptoms were measured using the Maslach Burnout Index two-item measure. The two-item Primary Care Evaluation of Mental Disorders Procedure was used to screen for depressive symptoms. For each of the two outcomes (burnout and depressive symptoms), we constructed three multivariate logistic regression models to assess individual fellow characteristics, program structure, and institutional polices associated with either burnout or depressive symptoms.

resultsFive hundred two of the 976 fellows who received the survey completed it-including both outcome measures-giving a response rate of 51%. Fifty percent of fellows showed positive results for either burnout or depressive symptoms, with 41% showing positive results for depressive symptoms, 32% showing positive results for burnout, and 23% showing positive results for both. Reporting a coverage system in the case of personal illness or emergency (adjusted OR [aOR], 0.44; 95% CI, 0.26-0.73) and access to mental health services (aOR, 0.14; 95% CI, 0.04-0.47) were associated with lower odds of burnout. Financial concern was associated with higher odds of depressive symptoms (aOR, 1.13; 95% CI, 1.05-1.22). Working more than 70 hours in an average clinical week and the burdens of electronic health record (EHR) documentation were associated with a higher odds of both burnout and depressive symptoms.

interpretationGiven the high prevalence of burnout and depressive symptoms among fellows training in PCCM, an urgent need exists to identify solutions that address this public health crisis. Strategies such as providing an easily accessible coverage system, access to mental health resources, reducing EHR burden, addressing work hours, and addressing financial concerns among trainees may help to reduce burnout or depressive symptoms and should be studied further by the graduate medical education community.

Indexed as

Critical CareInternship and ResidencyAdultBurnout, ProfessionalCross-Sectional StudiesDepressionFemaleHumansMalePrevalencePulmonary MedicineRisk FactorsSurveys and QuestionnairesUnited Statesburnoutdepressiontrainees

Identifiers

PMID32956717
PMCPMC7856531
OpenAlexW3108193291

What OpenQuestion holds

Textmetadata
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.