Evidence map›Paper›PMID 40350799›Full record

ArticleJournal of applied clinical medical physics2025

Towards better understanding of factors contributing to medical physicist well-being in academic medical centers: A systems-analysis approach.

Elizabeth Kwong, Chao Chin Liu, Karthik Adapa, Lisa Vizer, Brian Anderson, Damian McHugh, Todd Pawlicki, Moyed Miften, Amit Sawant, Nadia Charguia and 4 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Elizabeth KwongCarolina Health Informatics Program, Division of Healthcare Engineering, University of North Carolina at Chapel Hill School of Information and Library Science, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-1581-6865
Chao Chin LiuDepartment of Computer Science, Georgetown University, Washington, DC, USA.
Karthik AdapaDivision of Healthcare Engineering, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Lisa VizerDivision of Healthcare Engineering, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Brian AndersonDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-2748-1444
Damian McHughCuri, Raleigh, North Carolina, USA.
Todd PawlickiDepartment of Radiation Medicine, University of California San Diego School of Medicine, La Jolla, California, USA.ORCID https://orcid.org/0000-0001-5320-2288
Moyed MiftenDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Amit SawantDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-3901-5774
Nadia CharguiaIntegrated Well-being Program, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Casrolina, USA.
Shiva DasDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Lawrence B MarksDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Jean L WrightCarolina Health Informatics Program, Division of Healthcare Engineering, University of North Carolina at Chapel Hill School of Information and Library Science, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Lukasz MazurDivision of Healthcare Engineering, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
NCI NIH HHS P30 CA016086NIOSH CDC HHS U19 OH012303
6 · The paper itself

Abstract

The well-being of medical physicists can impact overall system performance, patient safety, and quality of patient care. There are limited formal assessments of factors contributing to physicists well-being. Nine medical physicists at a US academic medical center were surveyed on 21 workplace factors, drawn from the National Academy of Medicine's systems model of clinician burnout and professional well-being between May 2022 and August 2022. Highly rated factors were summarized and presented to medical physicists in focus groups. Contextual inquiries (a form of shadowing) were conducted to gather additional information about factors contributing to well-being. Qualitative data from the survey, focus groups, and contextual inquiries were used to generate an affinity model, which medical physicists then validated and used to prioritize top factors. Twenty-two medical physicists at the academic medical center and three other US academic medical centers rated these factors by level of impact and level of effort, and improvement recommendations were made based on these results. Key factors affecting medical physicist well-being included inadequate staffing, work-life integration, excessive workload, and time pressure. Twenty-two medical physicists across four institutions prioritized the following top factors for improvement: (i) retain the hybrid work model, (ii) hire additional medical physicists to cover clinic responsibilities, (iii) limit or compensate after hours work, (iv) improve scheduling workflows, and (v) improve communication and visibility from organization-level leadership and administration. High impact, low effort priorities to improve medical physicist well-being across the four institutions include work-life integration, scheduling workflows, and relationships with leadership. These factors seem to be within the improvement control of each radiation oncology center. Further research is needed to establish the generalizability of our findings and spearhead broad policy changes.

Indexed as

Academic Medical CentersBurnout, ProfessionalHealth PhysicsJob SatisfactionSystems AnalysisHumansSurveys and QuestionnairesWorkloadburnoutmedical physicistsNAM modelradiation oncologysystems analysiswell‐being

Identifiers

PMID40350799
PMCPMC12148786

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.