Evaluation of radiology resident well-being at a single institution with a dedicated wellness curriculum.

Burnout Resident well-being Wellness Wellness curriculum

Journal

Clinical imaging
ISSN: 1873-4499
Titre abrégé: Clin Imaging
Pays: United States
ID NLM: 8911831

Informations de publication

Date de publication:
16 May 2024
Historique:
received: 28 02 2024
revised: 23 04 2024
accepted: 07 05 2024
medline: 26 5 2024
pubmed: 26 5 2024
entrez: 25 5 2024
Statut: aheadofprint

Résumé

Increasing rates of physician burnout over recent years have resulted in the need for formal tools and programming dedicated to physician well-being. The Accreditation Council for Graduate Medical Education (ACGME) has taken measures to prioritize trainee well-being by revising its common program requirements. Widespread departmental initiatives have been developed in line with these changes. At the authors' institution, a committee was developed to design and implement a holistic wellness curriculum for radiology trainees. The objective of this study was to assess overall well-being in a cohort of radiology residents at a training program with a dedicated wellness curriculum. A wellness curriculum for radiology residents was developed and implemented. Over a 3-year period, data was collected using the Maslach Burnout Inventory (MBI), Brief Resilience Scale (BRS). Rates amongst respondents were low, compared to average, for emotional exhaustion (below 17, average 25.2), depersonalization (6, average 10), and of personal accomplishment were moderate to high (37.5, average 32.9). PGY-4 level residents had the highest rates of burnout (p = 0.042 for depersonalization, p = 0.006 for emotional exhaustion). PGY-4 residents also had the lowest rates of resilience based on the BRS, and PGY-3 the highest (p = 0.037). There were no statistically significant differences between gender or differing relationship status for MBI or BRS. The most commonly cited barriers to wellness practices included fatigue, competing responsibilities, and not knowing where to start. Radiology residents at a single institution with a dedicated wellness curriculum demonstrated overall lower rates of burnout compared to their peers.

Identifiants

pubmed: 38795589
pii: S0899-7071(24)00114-1
doi: 10.1016/j.clinimag.2024.110184
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110184

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The author(s) declare(s) that they had full access to all of the data in this study and the author(s) take(s) complete responsibility for the integrity of the data and the accuracy of the data analysis. The authors declare no conflict of interest.

Auteurs

Jenifer Pitman (J)

Weill Cornell Medicine/New York Presbyterian Hospital, United States of America; Johns Hopkins University School of Medicine, The Russell H. Morgan Department of Radiology and Radiological Sciences, 601 North Caroline Street, 5th Floor, Baltimore, MD 21287, United States of America. Electronic address: jenifer.pitman@gmail.com.

Juliana Atallah (J)

Weill Cornell Medicine/New York Presbyterian Hospital, United States of America; Memorial Sloan Kettering Cancer Center, United States of America.

Connie Lu (C)

Weill Cornell Medicine/New York Presbyterian Hospital, United States of America.

Zoe Verzani (Z)

Weill Cornell Medicine/New York Presbyterian Hospital, United States of America; Weill Cornell Medicine, United States of America.

Andrew Schweitzer (A)

Weill Cornell Medicine/New York Presbyterian Hospital, United States of America.

Robert J Min (RJ)

Weill Cornell Medicine/New York Presbyterian Hospital, United States of America; Weill Cornell Medicine, United States of America; Weill Cornell Physicians Organization, United States of America; Weill Cornell Imaging at New York-Presbyterian, United States of America.

Lily Belfi (L)

Weill Cornell Medicine/New York Presbyterian Hospital, United States of America.

Classifications MeSH