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Background and Aim: Quality of working life is one of the factors affecting the employees’ turnover intention. This study examined the correlation between quality of working life with turnover intention among employees of health centers affiliated to Shahid Beheshti University of Medical Sciences in Tehran. Materials and Methods: This cross-sectional study was conducted in Tehran in year 2014. The study population was the staff of three health centers (Shemiranat, East and North) in which all of them (N=185) were studied. Data were collected using 34-items questionnaire and using SPSS 21 software performed data analysis. Results: The mean score of quality of working life and turnover intention was 2.7±0.5 and 2.9±1.0 out of 5, respectively. Correlation analysis showed a significant negative correlation between the quality of working life and all its dimensions with the turnover intention (r = -0.36, P<0.001). Constitutionalism, integrity, promotion and growth opportunities, social relevance and adequate and fair compensation had a strong negative relationship with turnover intention (P<0.001) and safe and healthy workplace had the lowest relationship. ‍Conclusion: An inverse correlation between the quality of working life and the turnover intention was found. The management of organization might reduce the turnover intention of employees by improving the quality of working life trough increasing employees’ satisfaction of organizational policies, working conditions, equal growth and promotion opportunities, and fair compensation system.

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Abstract:

Background and Aim: Responsiveness reflects how the health system responds to the patient’s legitimate non-medical expectations of health care. This study aimed to assess the level of responsiveness in public hospitals of Shahid Beheshti University of Medical Sciences in Tehran, Iran.

Materials and Methods: In this cross-sectional study, 300 discharged patients from two teaching and public hospital were selected using convenience sampling. To collect study data, the 32-item questionnaire developed by World Health Organization (WHO) was used, and its validity and reliability were confirmed. For data analysis, descriptive statistics and t-test, ANOVA and Spearman correlation tests were used through SPSS. 22 application.

Results: The overall mean score of hospitals responsiveness was 3.3 (±0.67) out of 5. Three dimensions, choice of provider (2.7), autonomy (3.1) and prompt attention (3.1) got the lowest scores and considered as weaknesses in responsiveness. Quality of basic amenities (3.6), access to social support (3.6) and dignity (3.5) received the highest scores and ranked as strengths of  hospital responsiveness.  There was a significant relationship between responsiveness score with length of stay, previous hospitalization in that same hospital, inpatient wards, the source of recommendation, and patient’s health status at discharge.

‍Conclusion: Responsiveness of hospitals was evaluated at moderate level. Hospitals should pay more attention to meet patients expectations regarding the non-clinical aspects of care. Focus of mangers and policymakers on training of human resources and allocating more resource can play an effective role in responsiveness improvement.

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Background and Aim: Performance indicators are one of the ways to measure success in achieving the goals of health systems. This study aimed to assess the changes of the hospital performance indicators before and after the implementing health sector evolution plan (HSEP) in Shahid Beheshti University of Medical Sciences.
Materials and Methods: Routine data base study was carried out using performance data of 2012 to 2015, two years before and after the implementation of HSEP. The data were collected through the statistics office of hospitals and were analyzed using the Shapiro Wilk test, paired t test, Wilcoxon and Mann-Whitney tests by SPSS.21 software.
Results: Bed occupancy rate, bed turnover rate, mean number of inpatient, outpatient and emergency users, and number of surgical procedures were significantly increased after the HSEP implementation (p≤ 0.05). The average length of stay was reduced by 0.2 days (p≤ 0.05). Changes in the performance indicators were not related with the location, number of beds and the specialty of hospital.
‍Conclusion: After the implementation of HSEP, the use of services of Shahid Beheshti University of Medical Sciences hospitals increased significantly which can lead to provide services to more patients and increased access to health services and thus improvement of health equity.