Evidence map›Paper›PMID 36008061›Full record

ArticleBMJ open2022

Moral distress among clinicians working in US safety net practices during the COVID-19 pandemic: a mixed methods study.

Donald E Pathman, Jeffrey Sonis, Thomas E Rauner, Kristina Alton, Anna S Headlee, Jerry N Harrison

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Physician Moral Injury During the COVID-19 Pandemic.Journal of general internal medicine · 2025
    Article
  6. Article
  7. Article
  8. Family physicians' moral distress when caring for patients experiencing social inequities: a critical narrative inquiry in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
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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

6 authors at 5 institutions in 1 country.

Donald E PathmanCecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA don_pathman@unc.edu.ORCID 0000-0002-6708-3707
Jeffrey SonisDepartments of Social Medicine and Family Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Thomas E RaunerOffice of Rural Health, Division of Public Health, Nebraska Department of Health and Human Services, Lincoln, Nebraska, USA.
Kristina AltonDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Anna S HeadleeCollege of Architecture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Jerry N HarrisonNew Mexico Health Resources, Inc, Albuquerque, New Mexico, USA.
University of North Carolina at Chapel Hill · USNebraska Department of Health and Human Services · USPNM Resources (United States) · USUniversity of Nebraska–Lincoln · USVanderbilt University Medical Center · US

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
NCATS NIH HHS UL1 TR002489
6 · The paper itself

Abstract

objectiveTo explore the causes and levels of moral distress experienced by clinicians caring for the low-income patients of safety net practices in the USA during the COVID-19 pandemic.

designCross-sectional survey in late 2020, employing quantitative and qualitative analyses.

settingSafety net practices in 20 US states.

participants2073 survey respondents (45.8% response rate) in primary care, dental and behavioural health disciplines working in safety net practices and participating in state and national education loan repayment programmes. MEASURES: Ordinally scaled degree of moral distress experienced during the pandemic, and open-ended response descriptions of issues that caused most moral distress.

resultsWeighted to reflect all surveyed clinicians, 28.4% reported no moral distress related to work during the pandemic, 44.8% reported 'mild' or 'uncomfortable' levels and 26.8% characterised their moral distress as 'distressing', 'intense' or 'worst possible'. The most frequently described types of morally distressing issues encountered were patients not being able to receive the best or needed care, and patients and staff risking infection in the office. Abuse of clinic staff, suffering of patients, suffering of staff and inequities for patients were also morally distressing, as were politics, inequities and injustices within the community. Clinicians who reported instances of inequities for patients and communities and the abuse of staff were more likely to report higher levels of moral distress.

conclusionsDuring the pandemic's first 9 months, moral distress was common among these clinicians working in US safety net practices. But for only one-quarter was this significantly distressing. As reported for hospital-based clinicians during the pandemic, this study's clinicians in safety net practices were often morally distressed by being unable to provide optimal care to patients. New to the literature is clinicians' moral distress from witnessing inequities and other injustices for their patients and communities.

Indexed as

COVID-19Cross-Sectional StudiesHumansMoralsPandemicsSurveys and QuestionnairesHuman resource managementMEDICAL ETHICSPRIMARY CAREQUALITATIVE RESEARCH

Identifiers

PMID36008061
PMCPMC9421917
OpenAlexW4293239066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.