Evidence map›Paper›PMID 40591195›Full record

ArticleDiscover mental health2025

Predictors of professional burnout among physicians in a country in Eastern Europe during the COVID-19 pandemic era.

Babatunde Fatoke, Stephen Olaide Aremu, Samuel Olusegun Itodo, Dorcas Oluwakemi Aremu, Abdillahi Abdi Barkhadle

Abstract read
In one paragraph

Article in Discover mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Babatunde Fatoke *General Hospital Lagos, Lagos Island, Odan, Lagos State, Nigeria.
Stephen Olaide Aremu *Faculty of Medicine, Siberian State Medical University, Tomsk, Russian Federation.
Samuel Olusegun ItodoDepartment of Pharmacology and Therapeutics, Benue State University, Makurdi, Benue State, Nigeria.
Dorcas Oluwakemi AremuSechenov University, Tomsk, Russian Federation.
Abdillahi Abdi BarkhadleRift Valley University, Jimma, Ethiopia. abdiabdibarkhadle@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIt is commonly known that physicians are subjected to high levels of stress in their jobs, which can result in physical, psychological, and emotional problems, including burnout. To prevent these negative results, international research has been conducted on the levels of stress, burnout, and associated psychiatric illness in health workers across a wide range of specialties. To determine the predictors of burnout syndrome among physicians, to compare burnout among specialist physicians, to determine if there are age differences as it relates to burnout, and to determine several predictive factors responsible for burnout among physicians.

methodThe study employed the Maslach Burnout Inventory (MBI) to measure burnout levels among physicians and the World Health Organization Quality of Life (WHOQOL) questionnaires to assess their overall well-being. A total of 3,400 physicians participated, providing a substantial dataset for analysis. The methodology involved descriptive statistics to summarize key findings, bar charts for data visualization, and analysis of variance (ANOVA) to determine significant differences between groups where applicable. Additionally, multiple regression analysis was conducted to identify key predictors of burnout and their impact on physicians' quality of life, offering valuable insights into factors influencing their professional well-being.

resultsThis study assessed professional burnout among physicians using the adapted Maslach Burnout Inventory. Of the 3400 respondents, 14% reported mild burnout, 18% moderate, 29% high, and 39% very high burnout. No significant differences in burnout were found across specialties (F = 0.951, p = 0.386). However, age, physical and psychological health, social relationships, and environment significantly predicted burnout (p < 0.01). Younger physicians (18-30 years) experienced the highest burnout. Engagement with COVID-19 outpatients positively correlated with burnout (r = 0.023, p < 0.05), while private practice had a moderately negative but insignificant relationship (r = - 0.426).

conclusionThis study demonstrates a high level of burnout among physicians and several predictors of burnout in healthcare workers, which include age, psychological status, social status, and environment.

Indexed as

Burnout syndromeHealthcare workersMaslach burnout inventoryPhysiciansPredictorsStressWHOQOL

Identifiers

PMID40591195
PMCPMC12214173

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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.