Reza Jahanbazi, Dr Masoud Lotfizadeh,
Volume 18, Issue 1 (5-2019)
Abstract
Background: Nursing is one of the health care base and nursing services are in effect on ill-health indicators. This study aimed to investigate the relationship between professional behavior and job well-being of nurses employed at two Shahrekord educational hospitals in 2018.
Materials and Methods: This descriptive-analytic study was performed on nurses employing at two educational hospitals in Shahrekord. A total of 269 nurses in both sexes were selected using stratified random sampling method. The Goz standard professional questionnaire for nurses and the Demo and Paschoal Survival Questionnaire were used. Data were analyzed by SPSS22 software using independent t-test, ANOVA, Kolmogorov Smearnov, Pearson Correlation Coefficient and simple linear regression at a significant level of 0.05.
Results: Mean age of the respondents was 33.2 years old, 48% were aged between 31 to 40 years old while 3% were aged more than 50 years old, 58% and 42%were female and male, respectively. The average score of professional behavior and job well-being were 17.8 ± 104.5 (moderate to high) and 89.3 ± 12.9 (moderate), respectively. Regression analysis revealed that per unit increasing in the nurses professional behavior, 0.661 units were added to job well-being; and also, there was a significant correlation between "professional behavior" and "job well-being" (R2=0.328).
Conclusion: The comprehensive national plan should be designed paying more attention to creation of the necessary infrastructure to promote professional behavior which can be result in long-range consequences of job well-being improvement; also, promotion of job well-being components should be considered.
Farhad Lotfi, Erfan Kharazmi, Mohsen Bayati, Hajar Alipour, Saeid Lohivash, Ali Jajarmizadeh,
Volume 19, Issue 2 (8-2020)
Abstract
Background: Estimation of cost functions is an appropriate tool for optimal resource allocation in hospitals. The present study aimed at estimating cost function for hospitals affiliated to Shiraz University of Medical Sciences.
Materials & Methods: In the current cross-sectional study, inputs, costs and resources data for 28 hospitals were gathered from hospital statistics and information system. Required data were collected monthly for two years (2015-2016). Then, The Cobb-Douglas cost function was estimated using panel data analysis. STATA 14 was used for data analysis.
Results: Estimates showed that hospitals' cost elasticity concerning the inpatient and outpatient admission were 0.555 and 0.058 for large hospitals, and 0.769 and 0.099 for small hospitals (P<0.01). Among hospitals inputs, the cost of a physician with coefficient 0.175 in large hospitals and 0.481 in small hospitals (P<0.01) was most cost driver. In studied hospitals, average cost (36,406,480 Rial) was higher than marginal cost (26,548,020). Moreover, scale economies index were in small, large, and all hospitals were 0.868, 0.613 and 0.729, respectively. The number of active bed, length of stay and teaching activity had a positive effect on hospitals cost (P<0.01).
Conclusion: According to the findings, to control costs, the hospital should manage most cost drivers, such as physicians and pharmaceutical costs. Moreover, According to the average and final cost and scale economies index, hospitals should expand their service provisions with current inputs and resources in order to reach the optimum point of output.
