Showing 4 results for Sepehr
Mahmood Nekoui Moghadam, Narges Khanjani , Razieh Sepehrian, Tahereh Sharifi,
Volume 10, Issue 5 (1-2017)
Abstract
Background and Aim: Health communicators with volunteer activities meet many people’s educational and informational needs in different aspects of health without additional costs. Despite the importance of communicators in health programs, the level of their cooperation or connection with our health centers has been reduced in recent years. So, this study was performed with the aim of affective factors on recruitment and retention of health communicators.
Materials and Methods: This study was an applicable study with the use of phenomenological qualitative methods. Data gathering tool was focus group discussions that were done in year 2014. A total of 39 health communicators, coaches, and experts of health communicators plan were selected using purposive sampling in Kerman city health center. Data achieved by focus group interviews were analyzed using framework analysis.
Results: Three main concepts were extracted as the results of the analysis of the qualitative data. Factors related to the health care system weaknesses of the communicator's plan, weakness of human factors (coaches and communicators), and factors related to society were the three main concepts of recruiting and retaining the health communicators.
Conclusion: Setting up the supportive and supervisory regulation by the Ministry of Health and Medical Education in conjunction with this program, allocating the appropriate budget to this program, documenting achievements and appreciating the better volunteers and their coaches in the country, and planning for education of volunteers according to the health needs of the society are the solutions proposed in this study.
Fereshteh Sepehr, Ashrafsadat Bozorgi, Shokouh Sedghi,
Volume 10, Issue 5 (1-2017)
Abstract
Background and Aim: By conducting cloud computing and using cloud library, better library's services were prepared for universities’ libraries. The present research aims to determine the possibility of conducting cloud computing in Medical Sciences Universities’ libraries in Tehran from the librarian's perspective.
Materials and Methods: This was a descriptive, cross sectional study. A questionnaire survey was used for the collection of data. Face and content validity of the questionnaire has been examined by librarian experts, and also Cronbach’s Alpha Coefficient (0.77) was used for confirmation of reliability. Questionnaires were mailed to 42 selected library professionals, and a total of 40 libraries filled out the questionnaires. The results were analyzed by SPSS software and calculating independent t-test, binomial and chi-square test.
Results: In the present study, the result showed that the mean of librarians skills for management viewpoint (22.5), the specialist personnel (19.6), the librarian attitudes toward security issues associated with cloud computing (13.15), and situation infrastructures (18.13) were significantly meaningful in all of the cases. Also budgeting and availability of electronic services were found to be the least significant. With comparing the requirements of conducting cloud computing and library features by Chi-square test, 80.7 vs. 19/3 respectively showed that libraries have good position.
Conclusion: It was found that the cloud computing by using different technological advantages is a solution for providing better and quicker services with lower prices where budgets are limited and facilities are inadequate in Tehran's medical sciences universities’ libraries.
Mohammad Mehdi Sepehri, Sara Naderi , Mansoureh Naderi ,
Volume 11, Issue 2 (7-2017)
Abstract
Background and Aim: Throughput improvement is a process that simultaneously increases the volume of services provided to patients, while decreasing the operating costs. The aim of the present study was to extract and prioritize the factors affecting throughput in an emergency department for heart disease patients.
Materials and Methods: This is a descriptive case study conducted through: interviews with experts, and the design of a questionnaire based on the emergency management criteria specified by the Ministry of Health and Medical Education (MOHME), and the completion of the questionnaire by academic experts in a teaching hospital in Tehran.
Six indicators and 26 sub-indicators were extracted and the data was analyzed using multi- criteria decision analysis methods including ANP and DEMATEL.
Results: Among the 26 sub-indicators, six sub-indicators were identified as the top priority ones with a 72 percent impact on throughput. And out of the six top indicators, cardiac emergency clinical guidelines were identified as the most important in maximizing throughput for patients with chest pain in the emergency department under study.
Conclusion: This study identified the priorities in enhancing throughput in an emergency cardiac unit. For the first time in Iran the study used a hybrid
ANP-DEMATEL method. This study can provide insights for health system planners and policy-makers on the enhancement of throughput in care delivery
organizations, especially teaching hospitals.
Roghaye Khasha, Mohammad Mahdi Sepehri, Nasrin Taherkhani,
Volume 14, Issue 3 (Aug & Sep 2020)
Abstract
Background and Aim: Asthma is a common and chronic disease of respiratory tracts. The best way to treat Asthma is to control it. Experts of this field suggest the continues monitoring on Asthma symptoms and adjustment of self-care plan with offering the preventive treatment program to have desired control over Asthma. Presenting these plans by the physician is set based on the control level in which the patient is. Therefore, successful recognition and classification of the disease control level can play an important role in presenting the treatment program to the patient and improves the self-care and strengthens the early interventions to alleviate the Asthma symptoms.
Materials and Methods: Based on this objective, we collected the data of 96 Asthma patients within a 9-month period from a specialized hospital for pulmonary diseases in Tehran. Then we classified the Asthma control level by fuzzy clustering and different types of data mining method within a multivariate dataset with the multi-class response variable.
Results: Our best model resulting from the balancing operations and feature selection on data have yielded the accuracy of 88%.
Conclusion: Our proposed model can be applied in electronic Asthma self-care systems to support the decision in real time and personalized warnings on the possible deterioration of Asthma control. Such tools can centralize the Asthma treatment from the current reactive care models into a preventive approach in which the physician’s decisions and therapeutic actions are resulting from the personal patterns of chronic Asthma control and prevention of acute Asthma.
