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EV0536

Prevalence and predictors of burnout among resident physicians at tertiary care hospitals in Lahore, Pakistan

PREVALENCE AND PREDICTORS OF BURNOUT AMONG POSTGRADUATE CLINICAL RESIDENTS IN TERTIARY CARE HOSPITALS OF LAHORE, PAKISTAN

Approximately half of residents meet the criteria for burnout, and the strongest predictors are modifiable factors such as workload, sleep, and dissatisfaction with their specialty.

The study aimed to determine the prevalence of burnout among resident physicians working at tertiary care hospitals in Lahore and to identify its sociodemographic and work-related predictors. A multicenter cross-sectional survey was conducted at four tertiary teaching hospitals over a nine-month data collection period, reaching 596 residents across 23 specialties, with a response rate of 86%. Burnout was measured using the Copenhagen Burnout Inventory (CBI-19), which comprises three distinct domains, with a mean score of 50 or higher used as the cutoff. Chi-square tests followed by multivariable logistic regression were used to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs). The prevalence of overall burnout was 46.7%; personal burnout, 63.6%; work-related burnout, 51.9%; and patient-related burnout, 40.1%. Independent predictors in the multivariable model were as follows: dissatisfaction with one's specialty, with an aOR of 5.80 (1.98-17.03) for personal burnout and 2.65 (1.27-5.53) for patient-related burnout; more than 80 hours per week of on-call duties and regular work, with an aOR of 2.87 (1.74-4.73) for work-related burnout; 60-80 hours per week, 2.41 (1.50-3.86); eight hours of sleep or less per day, 2.10 (1.24-3.52); and dissatisfaction with income, with an aOR of 1.71 (1.19-2.45) for personal burnout. Female sex and dissatisfaction with income also predicted personal burnout. The findings indicate that regulating working hours, providing protected rest periods, and offering career counseling before specialty selection are actionable targets, and that well-being should be addressed as an issue of training quality rather than individual resilience. Because of the cross-sectional design, the findings indicate associations rather than causation; measurements were based on self-report, and the sample was limited to public hospitals in a single city.

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