Showing 3 results for Esmaili
M Moosazadeh, M Nekoei-Moghadam, Mr Amiresmaili,
Volume 12, Issue 1 (21 2013)
Abstract
Background: Patients are the raison d'etre of the hospitals therefore satisfying their needs and expectations is one of the most important duties of the hospitals. Consequently in recent decades patient satisfaction has been considered as a reliable measure for studying the quality of care and treatment. Hence in the present study, documents related to patient satisfaction in Iran was surveyed and the overall level of satisfaction was estimated using meta-analysis.
Materials and Methods: Articles on patient satisfaction were identified by searching different data bases using appropriate key words. Twenty six studies were extracted after applying inclusion criteria measures. The results were analyzed using Meta-analysis commands in STATA11 software.
Results: 14058 cases were surveyed in this 26 studies by meta- analysis. Based on the random-effect model the patient overall satisfaction percentage was estimated at 70.5 (CI:63.3-77.6) though based on fixed effect model.
Conclusion: The scale of patient satisfaction in Iran is in a proper level compared to other countries. Additionally, there has been an increasing trend in patient satisfaction in recent years, which might be attributable to measures such as using different methods of quality improvement, customer orientation and customer reverence.
Dr Mehdi Jafari Sirizi, Dr Anvar Esmaili, Dr Rahim Khodayari Zarnaq, Dr Jalal Arabloo, Dr Obeidollah Faraji,
Volume 18, Issue 2 (8-2019)
Abstract
Background: One of the main concerns of managers is work deviant behaviors of employees. Workplace deviance is voluntary behavior that violates significant norms and in so doing threatens the well-being of an organization, its members or both. The study aimed to explore the relationship between emotional intelligence and organizational citizenship behavior with work deviant behaviors.
Materials and Methods: This study was a cross-sectional descriptive analytical one. This study was conducted on 290 employees (administrative workers and nurses) working in four selected hospitals in Tehran city including Shahid Motahati, Shahid Rajaii, Hazrat-E-Rasol, and Dr. Shariati. Sampling method was stratified random sampling method. Data collection instruments were three questionnaires including Schutte’s emotional intelligence, Padsakof organizational citizenship behavior, Bennett and Robinson’s work deviant behavior. Validity and reliability of the questionnaires has already been verified in studies before. Data analysis was performed using independent T-test, ANOVA, Tukey and parametric Pearson's Correlation Coefficient.
Results: Among demographic and organizational variables, There was a significant relationship between age and work deviant behavior (P=0.012). Reverse significant statistical relationship between emotional intelligence, organizational citizenship behavior and courtesy with work deviant behavior was observed (P=0.0001).
Conclusion: The study results revealed that personnel with higher emotional intelligence will have a more positive attitude and more allegiance and commitment toward the organization; therefore they will show more organizational citizenship behavior and less inclined to abuse in the workplace.
Fatemeh Esmaili, Dr Mohammadhosein Mehrolhassani, Dr Reza Goudarzi, Dr Mohsen Barouni,
Volume 18, Issue 2 (8-2019)
Abstract
Background: Considering the increasing growth in health care costs along with the resources finitude; therefore, improving the efficiency and efficient use of resources is considered as one of the main priorities of the health system. The aim of this study was to determine the efficiency of direct medical services affiliated with Iranian Social Security Organization using Stochastic Frontier Analysis (SFA) Method in 2008-2015.
Materials & Methods: In this descriptive- analytical study, performance of 30 units of direct medical services affiliated with Iranian Social Security Organization was analyzed using Stochastic Frontier Analysis (SFA) Method. The number of active beds, physicians, nurses and staff were used as inputs and combined variables obtained from factor analysis were selected as output. Frontier version 4.1 was used to determine the efficiency and Stata version 14 was used to study the effective factors on efficiency.
Results: The average technical efficiency of studied units was 0.816. Based on the value of index of likelihood ratio test ( LR = 100.45 ), Cobb-Douglas production function was selected as the best model.
Conclusion: Based on the findings of this study, adjusting surplus manpower, congenital planning for increasing efficiency and resource management should be the priority of the managers so that they can increase the level of efficiency of studied units and reduce the costs to the least possible.
