Burnout_Risks_Bangladeshi_Physicians_Survey_2019_2021
Description
This dataset includes detailed burnout assessments and related factors for 1,434 Bangladeshi physicians, representing one of the largest studies of physician burnout in a lower-middle-income country. The breadth of variables (demographic, occupational, and personal factors alongside standardized burnout measures) offers a rich resource for understanding contributors to burnout in healthcare settings. Researchers can reuse these data to perform secondary analyses, such as cross-cultural comparisons of burnout prevalence and predictors, meta-analyses, or validation studies of burnout interventions. The data can also be leveraged to test new hypotheses (e.g. mediating factors or subgroup differences) beyond the scope of the initial analysis. Stakeholders in healthcare management and policy can utilize the aggregated insights from this dataset to identify critical risk factors for physician burnout in Bangladesh and similar contexts. By highlighting factors like workload, workplace conflicts, job satisfaction, and personal well-being, the data can guide targeted interventions (such as wellness programs or organizational policy changes) to mitigate burnout. The burnout levels in this dataset were measured using the validated Maslach Burnout Inventory (MBI-HSS), ensuring reliability and comparability with international burnout research. In addition, the dataset contains responses to Likert-scale items on job-related sentiments (e.g., feeling annoyed with patients, perceived job security), which can facilitate nuanced analysis of how these sentiments correlate with burnout. Data were collected from 62 hospitals across urban and rural settings, capturing a diverse physician population from various specialties and job ranks. The large sample size and multicenter design enhance the generalizability of findings and allow subgroup analysis (for example, comparing burnout between different hospital types or between male and female physicians). Such granular analysis could help tailor interventions to specific groups of physicians most at risk.