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

Authors :
Linzer, Mark
Mallick, Sanjoyita
Shah, Purva
Becker, Anne
Nankivil, Nancy
Poplau, Sara
Patel, Shivani K.
Nosal, Caitlin
Sinsky, Christine A.
Goelz, Elizabeth
Stillman, Martin
Alexandrou, Michaella
Sullivan, Erin E.
Brown, Roger
Source :
BMC Medical Education; 5/2/2024, Vol. 24 Issue 1, p1-11, 11p
Publication Year :
2024

Abstract

Background: System 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. Methods: We 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. Results: Of 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. Conclusions: These 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14726920
Volume :
24
Issue :
1
Database :
Complementary Index
Journal :
BMC Medical Education
Publication Type :
Academic Journal
Accession number :
176997055
Full Text :
https://doi.org/10.1186/s12909-024-05480-5