Evidence map›Paper›PMID 39845997›Full record

ArticleTrauma surgery & acute care open2025

Stressors contributing to burnout among acute care and trauma surgery care teams: a systems-analysis approach.

Elizabeth Kwong, Karthik Adapa, Viola Goodacre, Lisa Vizer, Jin Ra, Caprice Greenberg, Thomas Ivester, Nadia Charguia, Lawrence B Marks, Lukasz Mazur

Abstract read
In one paragraph

Article in Trauma surgery & acute care open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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.

Elizabeth KwongDivision of Healthcare Engineering, Department of Radiation Oncology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1581-6865
Karthik AdapaDivision of Healthcare Engineering, Department of Radiation Oncology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Viola GoodacreCarolina Health Informatics Program, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Lisa VizerDivision of Healthcare Engineering, Department of Radiation Oncology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jin RaDepartment of Surgery, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Caprice GreenbergDepartment of Surgery, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Thomas IvesterUNC Health, Chapel Hill, North Carolina, USA.
Nadia CharguiaIntegrated Well-being Program, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Lawrence B MarksDivision of Healthcare Engineering, Department of Radiation Oncology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Lukasz MazurDivision of Healthcare Engineering, Department of Radiation Oncology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-9793-7999

Funding

NIOSH CDC HHS U19 OH012303
6 · The paper itself

Abstract

Background: Burnout negatively impacts healthcare professionals' well-being, leading to an increased risk of human errors and patient harm. There are limited assessments of burnout and associated stressors among acute care and trauma surgery teams. Methods: Acute care and trauma surgery team members at a US academic medical center were administered a survey that included a 2-item Maslach Burnout Inventory and 21 workplace stressors based on the National Academy of Medicine's systems model of clinician burnout and professional well-being. Stressors were summarized and presented to participants in focus groups. Contextual inquiries (CIs) were conducted to gather additional information about key stressors. Qualitative data were used to generate an affinity model, which participants then validated and used to prioritize top stressors. Participants rated stressors by level of impact and level of effort, and improvement recommendations were made based on these results. Results: 74% (n=14/19) acute care and trauma surgery team members reported high burnout. Key stressors included inadequate staffing, organizational culture, excessive workload, and inefficient workflows. Attending faculty (surgeons) classified the following key priorities for improvement: (i) improve throughput and patient flow, (ii) provide better information technology support, and (iii) improve rewards and support. Non-faculty (advanced practice providers (APPs), nurses, staff) classified the following for improvement: (i) align APP job responsibilities, (ii) improve lack of recognition from leadership, and (iii) robust and consistent APP training. Conclusions: A contextual design approach to studying burnout using surveys, focus groups, CIs, modeling, and validation and prioritization is a feasible method for identifying key stressors and improvements that may enable more impactful and appropriately targeted interventions. Results indicate high levels of burnout among acute care and trauma surgery team members, requiring prioritized attention to operational and relationship issues necessary to care for patients. Efforts to improve surgery teams' workflows, auxiliary support, compensation, and relationships with leadership may address burnout. Level of evidence: Level V.

Indexed as

general surgeryhealth care evaluation mechanismsquality improvementsystems analysis

Identifiers

PMID39845997
PMCPMC11749667

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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.