Work-life balance amongst residents in surgical and non-surgical specialties in a tertiary care hospital in Karachi
Bibliographic record
Abstract
OBJECTIVE: To assess work-life balance among medical residents at a tertiary hospital. METHODS: The cross-sectional study was conducted from September to December 2016 at a private-sector tertiary care hospital in Karachi, and comprised medical residents working at the facility. A standardised, self-administered questionnaire was developed on the basis of Canadian Mental Health quiz and a study in literature. The questions aimed at assessing satisfaction with work as well as emotional and personal life of residents in various medical and surgical specialties. SPSS 20 was used for data analysis. RESULTS: Of the 275 residents, 129(46.9%) were males and 146(53.1%) were females. The overall mean age was 28.19±2.194 years. Of the total, 13(4.7%) participants thought they had work-life balance; 165(60%) felt their job had negatively affected their private lives; 118(42.9%) felt worn out; 109(39.6%) expressed moderate dissatisfaction with work-related factors; 119(43.3%) were dissatisfied with life outside work; and 93(33.8%) were dissatisfied their health. CONCLUSIONS: There was minimal work-life balance among the residents.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".