{"title":"The role of social networks in the scholarly communication of students and faculty members of Iran University of Medical Sciences","authors":"jaleh moradveisi, Sirous Panahi, Shahram Sedghi","doi":"10.52547/jha.24.4.47","DOIUrl":"https://doi.org/10.52547/jha.24.4.47","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41364286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Hosseini, S. Karimi, M. Ferdosi, M. Jafari, Hamid Baghdoost, P. Mahmoudian
{"title":"Challenges in calculating cost price in health system","authors":"S. Hosseini, S. Karimi, M. Ferdosi, M. Jafari, Hamid Baghdoost, P. Mahmoudian","doi":"10.52547/jha.24.4.9","DOIUrl":"https://doi.org/10.52547/jha.24.4.9","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47356012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Budget Trends and Financing Methods of the Health Sector in Iran: an Operational Proposal","authors":"Mahmoud Eisavi, Ahmad Moayedfard","doi":"10.52547/jha.24.4.71","DOIUrl":"https://doi.org/10.52547/jha.24.4.71","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45780472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Shafaghat, P. Bastani, Mohammad Hasan Imani Nasab, Mohammad Kazem Rahimi Zarchi
{"title":"Providing a tool for assessing the status of evidence-based decision making in the field of health management","authors":"T. Shafaghat, P. Bastani, Mohammad Hasan Imani Nasab, Mohammad Kazem Rahimi Zarchi","doi":"10.52547/jha.24.4.23","DOIUrl":"https://doi.org/10.52547/jha.24.4.23","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45132052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leila Nemati-Anaraki, S. Mousavi, M. Alibeyk, Mina Mahami-Oskouei
{"title":"Medical students knowledge and use of smartphone-based applications","authors":"Leila Nemati-Anaraki, S. Mousavi, M. Alibeyk, Mina Mahami-Oskouei","doi":"10.52547/jha.24.4.84","DOIUrl":"https://doi.org/10.52547/jha.24.4.84","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44589508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interactive and process model of human resource risks in the health sector: A structural-interpretive modeling approach","authors":"sara Noorian-Zavare, Z. sadeqi-arani","doi":"10.52547/jha.24.4.58","DOIUrl":"https://doi.org/10.52547/jha.24.4.58","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42644695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Sheikhtaheri, Soraya Khanahmadi, Hossein Sourtiji
{"title":"A mobile-based sensory diet application to educate parents of children with attention deficit / hyperactivity disorder","authors":"A. Sheikhtaheri, Soraya Khanahmadi, Hossein Sourtiji","doi":"10.52547/jha.24.4.11","DOIUrl":"https://doi.org/10.52547/jha.24.4.11","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41928001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Mohammadi, M. Yousefi, Amin Mohammadi, Elahe Pourahmadi, H. Ebrahimipour, Saeed Malek Sadati
Introduction : Human resources are the most important asset of any organization; also, the payment system is the main motivating factor for hospital staff. The aim of this study is to evaluate the effect of implementing pay for performance (P4P) instruction on inequality in income distribution between medical and non-medical staff. Methods : The present study is a applied research study conducted through a descriptive method. The statistical population of the study, hospitals, and P4P were selected from Mashhad University of Medical Sciences, Iran. Data on personnel characteristics and their income were also collected for three periods including a six-month pre-implementation period, as well as two six-month post-implementation P4P periods. Meanwhile, we used Lorenz curve and Gini coefficient to measure inequality in the distribution of income. Results : The Gini coefficient obtained for all employees has increased from 63% for the period before the implementation of the instruction to 62% in the second period and 65% in the third period after the implementation of the instruction. The Gini coefficient between the physicians group and the nurses group for the first period was 64 and 35%; for the second period 61 and 25%; and for the third period 62 and 26%. Conclusion : Results of this study are expected to be applied to reform current P4P policies in hospital. However, schemes that cause the service compensation change need to be examined from different dimensions; one of which is the impact on income inequality that requires more comprehensive studies.
{"title":"The effect of pay for performance on income inequality between medical and non-medical staff","authors":"M. Mohammadi, M. Yousefi, Amin Mohammadi, Elahe Pourahmadi, H. Ebrahimipour, Saeed Malek Sadati","doi":"10.52547/jha.24.3.43","DOIUrl":"https://doi.org/10.52547/jha.24.3.43","url":null,"abstract":"Introduction : Human resources are the most important asset of any organization; also, the payment system is the main motivating factor for hospital staff. The aim of this study is to evaluate the effect of implementing pay for performance (P4P) instruction on inequality in income distribution between medical and non-medical staff. Methods : The present study is a applied research study conducted through a descriptive method. The statistical population of the study, hospitals, and P4P were selected from Mashhad University of Medical Sciences, Iran. Data on personnel characteristics and their income were also collected for three periods including a six-month pre-implementation period, as well as two six-month post-implementation P4P periods. Meanwhile, we used Lorenz curve and Gini coefficient to measure inequality in the distribution of income. Results : The Gini coefficient obtained for all employees has increased from 63% for the period before the implementation of the instruction to 62% in the second period and 65% in the third period after the implementation of the instruction. The Gini coefficient between the physicians group and the nurses group for the first period was 64 and 35%; for the second period 61 and 25%; and for the third period 62 and 26%. Conclusion : Results of this study are expected to be applied to reform current P4P policies in hospital. However, schemes that cause the service compensation change need to be examined from different dimensions; one of which is the impact on income inequality that requires more comprehensive studies.","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49016404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Moslehi, Arsalan Gholami, Z. Haghdoust, Hosein Abed, S. Mohammadpour, M. Moslehi
Introduction : Road traffic accidents are one of the leading causes of death worldwide, including Iran. There are several factors involved in the occurrence of them; using different models, these factors can be identified and the occurrence of road traffic accidents can be predicted. The purpose of this study was to predict road traffic accidents based on weather conditions using artificial neural network model. Methods : In the present study, traffic data during the years 2014 to 2017, were examined using a multilayer perceptron network. Network input variables included minimum temperature, average temperature, average rainfall, maximum wind speed, glaciation, air pressure, fog concentration and output variable was the number of accidents. Results : The designed network with seven neurons in the input layer, four neurons in the middle layer, and one neuron in the output layer with Lunberg-Marquardt optimization function and sigmoid tangent transfer function in the middle layer and linear transmission function in the output layer was selected as the optimal network. The results showed that the designed network with the correlation coefficient of 0.90 and mean square error of 0.01 has a high ability to predict road traffic accidents. Conclusion : The results showed that the artificial neural network has a good performance for predicting road traffic accidents. Given the importance of predicting road traffic accidents and its role in promoting the health of people in such accidents, the results of this study can be used to expand more effective preventive measures for policy makers and researchers.
{"title":"Prediction of traffic accidents based on weather conditions in Gilan province using artificial neural network","authors":"S. Moslehi, Arsalan Gholami, Z. Haghdoust, Hosein Abed, S. Mohammadpour, M. Moslehi","doi":"10.52547/jha.24.3.67","DOIUrl":"https://doi.org/10.52547/jha.24.3.67","url":null,"abstract":"Introduction : Road traffic accidents are one of the leading causes of death worldwide, including Iran. There are several factors involved in the occurrence of them; using different models, these factors can be identified and the occurrence of road traffic accidents can be predicted. The purpose of this study was to predict road traffic accidents based on weather conditions using artificial neural network model. Methods : In the present study, traffic data during the years 2014 to 2017, were examined using a multilayer perceptron network. Network input variables included minimum temperature, average temperature, average rainfall, maximum wind speed, glaciation, air pressure, fog concentration and output variable was the number of accidents. Results : The designed network with seven neurons in the input layer, four neurons in the middle layer, and one neuron in the output layer with Lunberg-Marquardt optimization function and sigmoid tangent transfer function in the middle layer and linear transmission function in the output layer was selected as the optimal network. The results showed that the designed network with the correlation coefficient of 0.90 and mean square error of 0.01 has a high ability to predict road traffic accidents. Conclusion : The results showed that the artificial neural network has a good performance for predicting road traffic accidents. Given the importance of predicting road traffic accidents and its role in promoting the health of people in such accidents, the results of this study can be used to expand more effective preventive measures for policy makers and researchers.","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42372331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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