Evidence map›Paper›PMID 36684948›Full record

ArticleFrontiers in public health2022

Burnout among postgraduate medical trainees in Lebanon: Potential strategies to promote wellbeing.

Aline Yacoubian, Jad A Degheili, Asdghig Der-Boghossian, Jad Najdi, Rebecca Andraos, Salah Zeineldine

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

6 authors.

Aline YacoubianDepartment of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Jad A DegheiliDepartment of Urology, Children's Hospital of Eastern Ontario (CHEO), Ottawa, ON, Canada.
Asdghig Der-BoghossianDepartment of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Jad NajdiDepartment of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Rebecca AndraosDepartment of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Salah ZeineldineDepartment of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Burnout is a widespread issue in healthcare for many years. Lebanon combatted political and economic crises before the coronavirus disease 2019 (COVID-19) pandemic, in addition to the port explosion in August 2020. The study aimed to identify the determinants of personal burnout, patient-related burnout, and work-related burnout among postgraduate medical trainees (PGMT) and evaluate its relationship with sociodemographic characteristics. Design: A cross-sectional study utilized the Copenhagen Burnout Inventory (CBI) involving electronic, voluntary, and anonymous survey. The survey was completed by 188 PGMT including residents and fellows from all specialties and all levels of training. Results: The prevalence rates are 68.6% for personal burnout, 63.3% for work-related burnout, and 35.1% for patient-related burnout. Conclusion: Results improve our understanding of the phenomenon of burnout, and the role of program leadership in shaping the impact of burnout on training and promoting wellbeing of PGMT. Discussion focuses on providing potential wellbeing strategies for program directors to follow for mitigating burnout.

Indexed as

Burnout, ProfessionalCOVID-19Cross-Sectional StudiesHumansLebanonSurveys and Questionnairesburnout—professionalCOVID-19leadership and physicianspostgraduate medical traineesprogram directorswellbeing

Identifiers

PMID36684948
PMCPMC9853380

What OpenQuestion holds

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Registered trials

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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.