Evidence map›Paper›PMID 38698362›Full record

ArticleBMC medical education2024

Resident worklife and wellness through the late phase of the pandemic: a mixed methods national survey study.

Mark Linzer, Sanjoyita Mallick, Purva Shah, Anne Becker, Nancy Nankivil, Sara Poplau, Shivani K Patel, Caitlin Nosal, Christine A Sinsky, Elizabeth Goelz and 4 more

Abstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

14 authors.

Mark LinzerInstitute for Professional Worklife, Hennepin Healthcare, 701 Park Avenue, Minneapolis, MN, 55415, USA. Mark.Linzer@hcmed.org.
Sanjoyita MallickDepartment of Medicine, Hennepin Healthcare, 701 Park Avenue, Minneapolis, MN, 55415, USA.
Purva ShahAmerican Medical Association, 330 N. Wabash Avenue, Chicago, IL, 60611, USA.
Anne BeckerDepartment of Medicine, Hennepin Healthcare, 701 Park Avenue, Minneapolis, MN, 55415, USA.
Nancy NankivilAmerican Medical Association, 330 N. Wabash Avenue, Chicago, IL, 60611, USA.
Sara PoplauInstitute for Professional Worklife, Hennepin Healthcare, 701 Park Avenue, Minneapolis, MN, 55415, USA.
Shivani K PatelAmerican Medical Association, 330 N. Wabash Avenue, Chicago, IL, 60611, USA.
Caitlin NosalAmerican Medical Association, 330 N. Wabash Avenue, Chicago, IL, 60611, USA.
Christine A SinskyAmerican Medical Association, 330 N. Wabash Avenue, Chicago, IL, 60611, USA.
Elizabeth GoelzInstitute for Professional Worklife, Hennepin Healthcare, 701 Park Avenue, Minneapolis, MN, 55415, USA.
Martin StillmanInstitute for Professional Worklife, Hennepin Healthcare, 701 Park Avenue, Minneapolis, MN, 55415, USA.
Michaella AlexandrouMinneapolis Heart Institute, 800 East 28th St., Minneapolis, MN, 55407, USA.
Erin E SullivanSawyer School of Business, Harvard Medical School and Suffolk University, 73 Tremont St, Boston, MA, 02108, USA.
Roger BrownSchool of Nursing, University of Wisconsin, 701 Highland Avenue, Madison, WI, 53705, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystem contributors to resident burnout and well-being have been under-studied. We sought to determine factors associated with resident burnout and identify at risk groups.

methodsWe performed a US national survey between July 15 2022 and April 21, 2023 of residents in 36 specialties in 14 institutions, using the validated Mini ReZ survey with three 5 item subscales: 1) supportive workplace, 2) work pace/electronic medical record (EMR) stress, and 3) residency-specific factors (sleep, peer support, recognition by program, interruptions and staff relationships). Multilevel regressions and thematic analysis of 497 comments determined factors related to burnout.

resultsOf 1118 respondents (approximate median response rate 32%), 48% were female, 57% White, 21% Asian, 6% LatinX and 4% Black, with 25% PGY 1 s, 25% PGY 2 s, and 22% PGY 3 s. Programs included internal medicine (15.1%) and family medicine (11.3%) among 36 specialties. Burnout (found in 42%) was higher in females (51% vs 30% in males, p = 0.001) and PGY 2's (48% vs 35% in PGY-1 s, p = 0.029). Challenges included chaotic environments (41%) and sleep impairment (32%); favorable aspects included teamwork (94%), peer support (93%), staff support (87%) and program recognition (68%). Worklife subscales were consistently lower in females while PGY-2's reported the least supportive work environments. Worklife challenges relating to burnout included sleep impairment (adjusted Odds Ratio (aOR) 2.82 (95% CIs 1.94, 4.19), absolute risk difference (ARD) in burnout 15.9%), poor work control (aOR 2.25 (1.42, 3.58), ARD 12.2%) and chaos (aOR 1.73 (1.22, 2.47), ARD 7.9%); program recognition was related to lower burnout (aOR 0.520 (0.356, 0.760), ARD 9.3%). These variables explained 55% of burnout variance. Qualitative data confirmed sleep impairment, lack of schedule control, excess EMR and patient volume as stressors.

conclusionsThese data provide a nomenclature and systematic method for addressing well-being during residency. Work conditions for females and PGY 2's may merit attention first.

Indexed as

Burnout, ProfessionalCOVID-19Internship and ResidencyAdultFemaleHumansMalePandemicsSurveys and QuestionnairesUnited StatesWorkplaceBurnoutGender differencesResidency trainingSleep impairmentStress

Identifiers

PMID38698362
PMCPMC11064291

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.