Evidence map›Paper›PMID 42301341›Full record

ReviewDiscover mental health2026

Burnout among healthcare professionals in Bangladesh: a narrative review.

S M Yasir Arafat, Sadeed Hossain

Abstract readReview
In one paragraph

Review in Discover mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

S M Yasir ArafatDepartment of Public and Community Health, Faculty of Medicine and Health Sciences, Frontier University Garowe, Garowe, Somalia. arafatdmc62@gmail.com.ORCID https://orcid.org/0000-0003-0521-5708
Sadeed HossainBiomedical Research Foundation, Dhaka, 1230, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare professionals are particularly vulnerable due to heavy workloads, long duty hours, and emotionally demanding work environments. In Bangladesh, structural constraints within the healthcare system may further increase the risk of burnout. This article synthesizes existing evidence on burnout among healthcare professionals in the country.

methodsA structured narrative review was conducted using a comprehensive literature search without time restrictions in PubMed, Scopus, Google Scholar, and BanglaJOL up to 02 February, 2026. Studies were screened using predefined inclusion and exclusion criteria, and eligible studies were thematically synthesized.

resultsEight cross-sectional studies were included with sample sizes ranged from 50 to 2705 and encompassed various healthcare professional groups, including intern doctors, medical officers, postgraduate trainees, consultants, nurses, dentists, Intensive Care Unit (ICU) physicians, and hospital attendants. The Maslach Burnout Inventory was the most frequently used assessment tool. Moderate to high burnout prevalence ranged from approximately 20% to over 55%, with particularly elevated levels reported among female physicians, ICU physicians, and early-career professionals. Domain-specific findings showed extremely high levels of emotional exhaustion (up to 95%) and depersonalization in some cohorts. Consistently identified risk factors were long working hours, excessive workload, frequent night shifts, poor work-life balance, inadequate remuneration, limited organizational support, and pandemic-related stressors.

conclusionBurnout appears to be common among healthcare professionals in Bangladesh, particularly in high-risk subgroups, and is associated with occupational and organizational factors.

Indexed as

BangladeshBurnoutHealth professionalsPhysiciansReview

Identifiers

PMID42301341
PMCPMC13282420

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.