Mohammad Reza Omidi - Academia.edu (original) (raw)

Papers by Mohammad Reza Omidi

Introduction: A knowledge-based organization will deal with the existing challenges and will be m... more Introduction: A knowledge-based organization will deal with the existing challenges and will be more successful in the area of competition. In this research, the relationship between knowledge management and creativity is investigated. Methods: The present study is an applied survey. The statistical population of this study is nurses working in hospitals affiliated with Ilam University of Medical Sciences. The sample size was 187 by Cochran formula. Data were collected from three questionnaires: respondents' demographic information, Lavson knowledge management, and creativity of Dorabjee et al. The validity of the questionnaire was confirmed by the experts and the internal consistency of the questionnaires was confirmed using Cronbach's alpha coefficient. Results: The average scores were 3.17 and 2.98 for knowledge management and creativity respectively, showing that nurses had a moderate level of creativity and knowledge management. Pearson test results showed a direct and ...

Iranian Journal of Medical Ethics and History of Medicine, 2016

Background: Road accidents are among the most important causes of death and severe personal and f... more Background: Road accidents are among the most important causes of death and severe personal and financial injuries. Also, its profound social, cultural, and economic effects threaten human societies. This study aimed to estimate the trend of traffic accident victims in Yazd Province, Iran, to predict the number of traffic accident victims in this province. Materials and Methods: Based on traffic casualty statistics referred to forensic medicine in Yazd Province within April 1989 and March 2017 referred to Forensic Medicine of Yazd Province and using an artificial neural network to predict the number of injured for 12 months ending in 2020 has been paid. The neural network used in this study had 12 inputs, one output, and 5 hidden layers. The network predicts the relationship between data after training and learning. The network is considered the MSE benchmark. Results: The number of injured in traffic accidents in Yazd Province in 2020 was equal to 7052 people, with the highest number in December with 832 people and the lowest in June with 414 people. The exact method of use was equal to 92 cases. Conclusion: The trend of traffic accident casualties in Yazd Province in 2020 will be declining. For future research, the exact method designed in this study can be examined with other methods for the best response level.

Iranian Journal of Medical Ethics and History of Medicine, 2019

Medical Science Journal of Islamic Azad Univesity - Tehran Medical Branch, 2017

Background and Objectives: Road traffic accidents in Iran are a very important issue that limits ... more Background and Objectives: Road traffic accidents in Iran are a very important issue that limits economic development and is one of the main threats to the health and safety of people in the community. The statistics show that after cardiovascular disease, traffic accidents are the second leading cause of death in different age groups, which has made prediction in this area important. Materials and Methods: In this study, using the statistics of traffic injuries between April 2009 and March 2012 in Golestan, Mazandaran, Gilan and Ardebil provinces, they were referred to forensic medicine using the Jenkins Boxing Methodology, one of the most advanced methods Forecasting and future studies in the field of health systems, predicted the number of injuries by province, for the years 1395 to 1398. Results: The results of the study showed that the appropriate time series pattern for predicting Golestan injuries, ARIMA (4,2,4), Mazandaran ARIMA (3,1,5), Gilan ARIMA (3,1,4) and Ardibil ARIMA...

Health in Emergencies & Disasters Quarterly

Background: Road accidents are one of the most important causes of death and severe bodily injuri... more Background: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use Data Envelopment Analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determining the amount of optimal input resources of each provincial unit. Materials and Methods: The model used in this research had three inputs, including the level of equipment at the disposal, the level of the approved provincial budget, and the level of manpower at the disposal. It also had two outputs, including the score of reduction of casualties and the score of reduction of deaths in traffic accidents. The “returns to scale” was considered as a variable model, and the input model was an axial-type model. The DEAP software was used for data analysis. Results: The highest decrease in deaths in traffic acci...

Health in Emergencies & Disasters Quarterly, 2020

Background: Road accidents are one of the most important causes of death and severe bodily injuri... more Background: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use Data Envelopment Analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determining the amount of optimal input resources of each provincial unit. Materials and Methods: The model used in this research had three inputs, including the level of equipment at the disposal, the level of the approved provincial budget, and the level of manpower at the disposal. It also had two outputs, including the score of reduction of casualties and the score of reduction of deaths in traffic accidents. The "returns to scale" was considered as a variable model, and the input model was an axial-type model. The DEAP software was used for data analysis. Results: The highest decrease in deaths in tr...

Health in Emergencies & Disasters Quarterly

Background: Hospitals, as the first and most important treatment centers for injured people, shou... more Background: Hospitals, as the first and most important treatment centers for injured people, should be prepared before the crisis to provide health care services in the best possible manner, with appropriate and prompt action. The current study aimed at investigating the accident and disaster preparedness of hospitals affiliated to Jundishapur University of Medical Sciences in Ahvaz, Iran. Materials and Methods: The statistical population of the current descriptive, cross sectional study was all hospitals affiliated to Ahvaz Jundishapur University of Medical Sciences in 2017. The main tool to collect information in the study was the checklist of preparedness for disasters designed by Hojjat et al. A group of 20 faculty members of the Jundishapur University of Medical Sciences evaluated the checklist and confirmed its validity. Also, the reliability of the instrument was evaluated using a test-retest method on one of the research units based on Kappa test with a value of 0.8 in acceptable range. Data were collected and coded with SPSS software version 19. Results: The highest level of disaster preparedness at Jundishapur University of medical sciences in Ahvaz belonged to human inferiority with an average score of 67.66±8; 16 of 100, and the lowest belonged to the emergency areas with an average score of 3.75±0.77 or 43 of 100. Imam Khomeini Hospital was in a better status than the other hospitals in terms of emergency, reception, discharging and transferring, traffic, and communication. In terms of education, Abuzar Hospital had the highest level of preparedness; and regarding support and management of health care practices, Salamat Hospital had the highest level for disaster preparedness. Conclusion: The preparedness of hospitals affiliated to Jondishapour University was in moderate status and Imam Khomeini Hospital had the highest level of accident and disaster preparedness.

Health in Emergencies & Disasters Quarterly

Background: One of the indicators for measuring the development of a country is its death rate ca... more Background: One of the indicators for measuring the development of a country is its death rate caused by accidents and disasters. Every year, many people in Iran are drowned for various reasons. This study aimed to predict the trend of drowning mortality in Iran using statistical models. Materials and Methods: This research was a longitudinal study using time-series data of drowning deaths obtained from the Iranian Legal Medicine Organization during 2005-2017. The Autoregressive Integrated Moving Average (ARIMA) model was used for forecasting, which is based on the Box-Jenkins method consisting of the Autoregressive (AR) model, Moving Average (MA) model, and Autoregressive Moving Average (ARMA) model. The obtained data were analyzed in ITSM software. Results: A total of 14127 people have died due to drowning in Iran, during 2005-2017, with an average death toll of 1086 people per year. In 2017, the highest number of deaths caused by drowning was recorded in Khuzestan Province (n=161) and the lowest number in South Khorasan Province (n=1). Estimates of the drowning trend indicated that the number of drowning deaths in Iran would continue to decline in the coming years. Conclusion: The high accuracy of prediction using the Box-Jenkins method indicates its effectiveness for experts and managers to predict drowning death rates.

Health Research Journal

Introduction: One of the factors that increases competitive ability is to improve the quality of ... more Introduction: One of the factors that increases competitive ability is to improve the quality of presented service in organizations such as hospitals. Providing superior services through maintaining high quality is a prerequisite for the success of service organizations. The SERVQUAL model is one of the most commonly used tools for measuring service quality satisfaction. So the aim of this study was to assess the quality of services of selected hospitals through the SERVQUAL model. Materials and Methods: This study was a descriptive-analytical study that conducted in 2016. The population of the study consisted of all patients which needed to outpatient care services and referred to selected hospitals. Using Morgan's table, the sample size was 398, of which 381 completed questionnaires. The main tool of this research was questionnaire based on SERVQUAL model. Data were analyzed by SPSS version 19 using descriptive statistics methods and descriptive inferential methods for explaining the research hypotheses. Results: Pearson correlation test was showed that there is a direct relationship between perceived service and patient satisfaction. About responsiveness: high response rate, about empathy dimension: quite location, physical factors: possessing suitable space for waiting, from reassurance: providing accurate information to patients, and about reliability: personnel's timeliness has the greatest impact on patient satisfaction. Also, reliability

Health in Emergencies & Disasters Quarterly

Background: Road traffic accidents in Iran are a critical issue that hinders economic development... more Background: Road traffic accidents in Iran are a critical issue that hinders economic development and one of the main threats to the health and safety of people in the community. The statistics indicate that after cardiovascular diseases, traffic accidents are the second leading cause of death in different age groups, which reflects the necessity of prediction in this area. Materials and Methods: The present study investigated the data of the traffic-accident injured people between April 2009 and March 2012 in Golestan, Mazandaran, Guilan, and Ardebil provinces, presented to forensic medicine. We used the Box-Jenkins method as one of the most advanced methods in prediction and future studies in the field of health systems, to estimate the number of injuries by province, for the years 2016 to 2019. Results: The obtained results suggested the appropriate time series patterns for predicting injured people in Golestan Province with Autoregressive Integrated Moving Average (ARIMA)

Health in Emergencies & Disasters Quarterly

Educational planning and managing critical situations of accidents and disasters are among the mo... more Educational planning and managing critical situations of accidents and disasters are among the most important issues. Triage, which means the classification of patients and injuries based on specific situations and needs, is one of the important tasks of hospitals at times of disasters. In this study, triage knowledge and practice of nurses working in hospitals affiliated to Ilam University of Medical Sciences are evaluated. Materials and Methods: This is a cross-sectional and analytic study conducted in 2017. The statistical population comprised all nurses working in Ilam Medical Sciences hospitals. Using Cochran's formula, 174 people were sampled and 160 of them completed the study questionnaires and returned them. The main tool of collecting data was a researcher-made questionnaire based on Canadian triage scale. Validity of the questionnaire was assessed by 10 members of the Ilam University of Medical Sciences. The reliability of the questionnaire was between 0.83 and 0.89 using Cronbach α coefficient. The obtained data were analyzed using descriptive and inferential statistics in SPSS. Results: The Mean±SD duration of nurses' working in the emergency department was 5.2±3.4 years, of which 46.2% had an experience of using triage. The Mean±SD score of nurses' knowledge and practice of triage were respectively 10.44±2.11 and 9.22±2.14 out of 15. There was no significant relationship between work experience, gender and age with knowledge and practice of triage, but there was a significant relationship between knowledge and practice of nurses about triage with nursing educational degree. Conclusion: The level of nurses' knowledge and practice of triage in hospitals of Ilam University of Medical Sciences is moderate.

Health in Emergencies & Disasters Quarterly

Background: Any accident is a disturbance in the balance between the human system, vehicle, road ... more Background: Any accident is a disturbance in the balance between the human system, vehicle, road and environment. Future prediction of traumatic accidents is a valuable factor for managers to make strategic decisions in the areas of safety, health and transportation. Materials and Methods: In this study, by using Grey Model (GM) (1.1), Rolling Grey Model (RGM), Fourier Grey Model (FGM) (1.1), survival modification model, ARIMA time series, harmonic pattern and statistical data, the number of traffic injuries referred to forensic medicine centers in Semnan Province between 2017 and 2020 were predicted based on the number of traffic injured in Semnan Province from March 2009 and March 2016. Results: The mean absolute error percentage for the GM (1.1), RGM (1), FGM (1.1), survival model, ARIMA and harmonic models were 0.994, 0.082, 0.091, 0.105, 0.05, 0.11, respectively, indicating a greater accuracy of the ARIMA method, compared to the other methods. The number of road traffic injuries in Semnan Province is decreasing and will reach 4052 in 2020. Conclusion: ARIMA model is the best method of the future studies model for the number of injured patients referred to the forensic medicine centers in Semnan Province compared to other studied methods. Future studies model shows that the injuries caused by accidents in the province of Semnan are decreasing

This study employed the Trail Meta-Mood Scale (TMMS) - to assess self-reported emotional intellig... more This study employed the Trail Meta-Mood Scale (TMMS) - to assess self-reported emotional intelligence (EI) as input (attention to emotions), process (clarity of emotions), and output (repair of emotions) information-processing system - and Moreno Sociometry Test to study the correlation between emotional intelligence and social popularity in 12 groups including 4 groups of girls, 4 groups of boys and 4 groups of mixed sex. As expected there was a relationship between these two factors but not a strong correlation. The study also showed that EI correlated with age. And women displayed higher level of EI in comparison to men. Overall, these data most importantly suggested that learning EI must be paid much more attention since it might influence the social success.

Health in Emergencies & Disasters Quarterly

Background: Every year many people are killed or injured in road accidents. The first step in pla... more Background: Every year many people are killed or injured in road accidents. The first step in planning to reduce accidents is to identify the causes of accidents. This study aimed to investigate and identify the causes and factors affecting the incidence and the severity of road accidents as a major issue in Ilam Province, Iran. Materials and Methods: This research is a descriptive study with an analytical approach. Descriptive and inferential statistics indices were used for statistical analysis. A researcher-made questionnaire as fieldwork was used to investigate the factors affecting accidents. Friedman test was used in the analytical study of the data obtained from the questionnaires. The study population included all drivers of the public suburban fleet, including taxis, minibusses, and buses on the Ilam Province. Out of 190 drivers, a sample size of 127 was selected using a Cochran formula. Results: From the drivers’ point of view, the main causes of public fleet accidents on ...

Iranian Journal of Medical Ethics and History of Medicine, 2016

Iranian Journal of Medical Ethics and History of Medicine, 2019

Medical Science Journal of Islamic Azad Univesity - Tehran Medical Branch, 2017

Health in Emergencies & Disasters Quarterly

Health in Emergencies & Disasters Quarterly, 2020

Background: Road accidents are one of the most important causes of death and severe bodily injuri... more Background: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use Data Envelopment Analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determining the amount of optimal input resources of each provincial unit. Materials and Methods: The model used in this research had three inputs, including the level of equipment at the disposal, the level of the approved provincial budget, and the level of manpower at the disposal. It also had two outputs, including the score of reduction of casualties and the score of reduction of deaths in traffic accidents. The "returns to scale" was considered as a variable model, and the input model was an axial-type model. The DEAP software was used for data analysis. Results: The highest decrease in deaths in tr...

Health in Emergencies & Disasters Quarterly

Health Research Journal

Health in Emergencies & Disasters Quarterly