BackgroundOccupational stress and its related psychological strain is a concern among resident doctors that may affect patient care adversely. Residents face many stresses because of their high job demands in delivery of hospital care. They are often subject to work load and pressure due to direct involvement with patients, prolonged working hours, poor job opportunities and low support. Their multiple educational and clinical roles can also affect their performance and quality of personal or professional life. The aim of this study was to evaluate the occupational stress among residents of various medical specialties.We aimed to explore the reasons of occupational stress in residents’ life and determine how we can enhance the stress-coping strategies and create more suitable conditions.MethodsThis cross-sectional analytical-descriptive study was conducted on all medical residents with various specialties in Shiraz University of Medical Sciences. Data was collected using Osipow occupational stress questionnaire and analyzed by SPSS software version 17.ResultsThe response rate was 88.8%. The average stress score of all residents was 156.35 out of 250. The highest and lowest average stress scores belonged to gynecology and dermatology specialties, respectively. The highest average score of the stress factors was related to the workload with the score of 35.09 of 50 (moderate to severe stress). The total stress score had a significant relationship with age (P = 0.030) and sex (P = 0.009) as well as lack of time to get the needed healthy meals (P = 0.047), high work hours (P < 0.01), surgical specialties (P < 0.01) and on call shift (P < 0.01).ConclusionSince most of the stressors were related to the workload, interventions such workload reduction, education about occupational stress and its management, promoting interpersonal relations and more supportive measures are recommended.
Accurate prediction of workload and surgery duration, retrospective and current waitlist as well as perioperative information, and NEST-compliance driven allocation of patients are employed by our proposed methodology in order to deliver further improvement to hospital operating facilities.
Introduction Reducing variations in cancer treatment and survival is a key aim of the NSW Cancer Plan. Variations in breast cancer treatment and survival in NSW by remoteness and socioeconomic status of residence were investigated to determine benchmarks. Reducing variations in cancer treatment and survival is a key aim of the NSW Cancer Plan. Variations in breast cancer treatment and survival in NSW by remoteness and socioeconomic status of residence were investigated to determine benchmarks. Methods A retrospective cohort study used linked data for invasive breast cancers, diagnosed in May 2002 to December 2015 from the NSW Cancer Registry, with corresponding inpatient, and medical and pharmaceutical insurance data. Associations between treatment modalities, area socioeconomic status and residential remoteness were explored using logistic regression. Predictors of breast cancer survival were investigated using Kaplan–Meier product-limit estimates and multivariate competing risk regression. Results Results indicated a high 5-year disease-specific survival in NSW of 90%. Crude survival was equivalent by residential remoteness and marginally lower in lower socioeconomic areas. Competing risk regression showed equivalent outcomes by area socioeconomic status, except for the least disadvantaged quintile, which showed a higher survival. Higher sub-hazard ratios for death occurred for women with breast cancer aged 70 + years, and more advanced stage. Adjusted analyses indicated more advanced stage in lower socioeconomic areas, with less breast reconstruction and radiotherapy, and marginally less hormone therapy for women from these areas. Conversely, among these women who had breast conserving surgery, there was higher use of chemotherapy. Remoteness of residence was associated in adjusted analyses with less radiotherapy and less immediate breast reconstruction. In these short term data, remoteness of residence was not associated with lower survival. Conclusion This study provides benchmarks for monitoring future variations in treatment and survival.
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