Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with 36% in the general population. In Bangladesh, reported rates range from 32% to 58%, with physicians being particularly vulnerable. Poor sleep among physicians is strongly linked to burnout, medical errors and increased mental health risks. Despite these serious implications, existing evidence from Bangladesh remains fragmented and inconsistent, limiting its utility for health policy and workforce interventions. This review therefore seeks to generate reliable pooled prevalence estimates and identify key determinants of sleep problems among Bangladeshi physicians.

The research team will search the PubMed, Scopus, Web of Science, EMBASE, PsycInfo, ProQuest Medical, CINAHL, Google Scholar and BanglaJOL electronic and regional databases following Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines for published studies from inception until 1 August 2025, using truncated and phrase-searched keywords, relevant medical subject headings and citation chaining from grey literature. Observational cross-sectional studies published within the predefined timeframe, using validated assessment tools, and published in English or other major international languages will be prioritised for inclusion. Review papers, case reports, case series, intervention studies, commentaries, preprints, meeting abstracts, protocols, unpublished articles and letters will be excluded. Two independent reviewers will screen the retrieved papers using the Rayyan web-based application, with any disagreements resolved by a third reviewer. Quantitative estimates of sleep problems, including prevalence, duration, quality and associated risk factors among Bangladeshi physicians will be extracted. A narrative synthesis and meta-analysis will be performed to assess the pooled prevalence using a random effects meta-analysis model. Forest and funnel plots will be generated for visualisation. Heterogeneity will be assessed using the I² statistic, with sensitivity or subgroup analysis conducted as required. The quality of included studies will be evaluated using Joanna Briggs Institute critical appraisal tools for observational study designs. All statistical analysis will be conducted using Jamovi V2.7.6, R V4.3.2 ‘meta’ packages and GraphPad Prism V9.0.2.

This review will synthesise evidence from existing published literature. While completing the findings, the findings will be submitted to an international peer-reviewed journal and disseminated through conferences, policy forums and stakeholders’ networks to inform future research and interventions.

CRD420251123294.