The Unseen Toll: Physicians Burnout at Square Hospitals Ltd
Bibliographic record
Abstract
In the modern era, burnout has emerged as a major problem in the healthcare industry, especially among physicians who face significant stress due to its inherent constraints and unknowns. It is described in three ways in this study. It includes Workload (WL), working environment (WE), and working hours (WH); these all lead to burnout in the Bangladesh context. During the months of May and June 2022, quantitative techniques were employed to gather primary data for this study. To conduct this study, 100 physicians were surveyed about their experiences at Square Hospital Ltd. in Dhaka, Bangladesh. Survey questionnaires all follow a certain structure. A 30-item structured survey was designed according to the Bangladeshi context. The findings present a moderate positive correlation between physicians' burnout and influencing factors of workload, working environment and working hours in Square Hospital Ltd, Bangladesh. This study shows that physicians are overloaded with their job responsibilities, and Square Hospital Ltd's burnout is highly affected. In addition, this burnout affects the quality of a physician's services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".