Narges Nargesi Khoramabad, Akbar Javadi, Naser Javadi
{"title":"Assessment Knowledge and Attitude of Hospitals Managers about Disaster Preparedness in Lorestan Province in 2021","authors":"Narges Nargesi Khoramabad, Akbar Javadi, Naser Javadi","doi":"10.61186/jorar.16.1.41","DOIUrl":"https://doi.org/10.61186/jorar.16.1.41","url":null,"abstract":"","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140519672","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}
Sara Sadat Pourrahmat, zahra Alipour Darvishi, Shiva Azadfada, S. Hojjat
{"title":"Presenting a Model for Dealing with Vandalism in Sports Environments in Iran","authors":"Sara Sadat Pourrahmat, zahra Alipour Darvishi, Shiva Azadfada, S. Hojjat","doi":"10.61186/jorar.16.1.49","DOIUrl":"https://doi.org/10.61186/jorar.16.1.49","url":null,"abstract":"","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"31 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524295","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":"Presenting an Effective Training Model for Red Crescent Society Staff of Zanjan Province","authors":"Ali Jahani, N. Kamali, R. Davoodi","doi":"10.61186/jorar.16.1.69","DOIUrl":"https://doi.org/10.61186/jorar.16.1.69","url":null,"abstract":"","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"21 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525391","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. Amjad, Mehdi Ebrahiminejad Rafsanjani, Mohammad Mehdi Poursaeid
{"title":"Investigation of Components of Crisis Management Strategy Implementation Model in Bahabad County, Iran","authors":"M. Amjad, Mehdi Ebrahiminejad Rafsanjani, Mohammad Mehdi Poursaeid","doi":"10.61186/jorar.16.1.59","DOIUrl":"https://doi.org/10.61186/jorar.16.1.59","url":null,"abstract":"","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525918","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}
Shahin Fathi Hafeshjani, Alimohammad Rezaie, M. A. Keshavarzi
{"title":"Ethical Dimensions of Community-Based Crisis Management","authors":"Shahin Fathi Hafeshjani, Alimohammad Rezaie, M. A. Keshavarzi","doi":"10.61186/jorar.16.1.78","DOIUrl":"https://doi.org/10.61186/jorar.16.1.78","url":null,"abstract":"","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140517501","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":"Presenting an Organizational Virtue Model Based on Organizational Behaviour, Justice and Training in the Red Crescent Society of Tehran Province","authors":"Elahe Alipour, F. Nazem, Soghra Afkaneh","doi":"10.61186/jorar.16.1.28","DOIUrl":"https://doi.org/10.61186/jorar.16.1.28","url":null,"abstract":"","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"282 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140521012","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}
Mohammad Reza Hadavandi, Bijan Abdollahi, Abdorahim Navehebrahim, Hossein Abbasian
{"title":"Identification and Ranking of Factors to Improve the Quality of Education in Applied Science Higher Education Institutions","authors":"Mohammad Reza Hadavandi, Bijan Abdollahi, Abdorahim Navehebrahim, Hossein Abbasian","doi":"10.61186/jorar.16.1.18","DOIUrl":"https://doi.org/10.61186/jorar.16.1.18","url":null,"abstract":"","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140520128","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":"Locating New Red Crescent Society Bases in North Khorasan Province","authors":"Mostafa Ghodousi, Milad Vatani, Fatemeh Darbandi","doi":"10.61186/jorar.16.1.1","DOIUrl":"https://doi.org/10.61186/jorar.16.1.1","url":null,"abstract":"","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"86 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140515811","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. Mansourkhaki, B. Mojarradi, B. Ghobadipour, Soroush Maghsoud
INTRODUCTION: In order to prevent and reduce the death and disability rates caused by road accidents, it is necessary to optimize the location of the roadside emergency medical service (EMS) stations. Optimal selection of the EMS stations is a multi-criteria decision-making (MCDM) problem and usually involves the analysis of a large number of possible options and evaluation criteria. Nowadays, various MCDM methods are used to solve location problems that may generate different results. The fuzzification of these methods has always been one of the controversial issues with many agreements and disagreements. METHODS: In this study, a review was first performed on the weighting methods including five non-fuzzy weighting methods as row sum, column sum, arithmetic mean, geometric mean, and eigenvalues as well as two fuzzy weighting methods including: “Liu and Chen method” and “Chang Method”. Then, the fuzzy and non-fuzzy MCDM methods [including analytic hierarchy process (AHP), fuzzy analytic hierarchy process (FAHP) Chang, FAHP Liu, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and fuzzy TOPSIS (FTOPSIS)] were employed to locate the roadside EMS stations. Due to insufficient information and all the required layers in Iran, the information of the Interstate-65 (I-65) Highway between Montgomery and Birmingham, Alabama, USA was used in the present study. Finally, the results of these methods were compared using the mean-score, Borda, and Copeland prioritization strategies. FINDINGS: Given the importance and sensitivity of the issue, a combination of the MCDM methods was utilized to locate the EMS stations and the most appropriate non-fuzzy and fuzzy weighting methods were identified and the methods used were compared in terms of complexity, volume and time of computations, and the level of impact of the expert opinion. CONCLUSION: The AHP, FAHP Liu and Chen, FAHP Chang, and TOPSIS methods yielded more reliable results in locating the roadside EMS stations, in addition, using FTOPSIS fuzzy method was more risky and is not recommended. The non-fuzzy AHP method was identified to be the most reliable method in the present study.
导言:为了预防和降低道路交通事故造成的死亡率和致残率，有必要对路边紧急医疗服务站(EMS)的位置进行优化。EMS台站的优化选择是一个多准则决策问题，通常涉及对大量可能方案和评价准则的分析。目前，各种MCDM方法用于解决可能产生不同结果的定位问题。这些方法的模糊化一直是有争议的问题之一，有许多共识和分歧。方法:本研究首先对行和、列和、算术平均、几何平均、特征值等五种非模糊加权方法以及“刘陈法”和“常法”两种模糊加权方法进行了综述。然后，采用模糊和非模糊MCDM方法[包括层次分析法(AHP)、模糊层次分析法(FAHP) Chang、模糊层次分析法(FAHP Chang)、模糊层次分析法(FAHP Liu)、理想解相似偏好排序法(TOPSIS)和模糊TOPSIS法(FTOPSIS)]对路边EMS站点进行定位。由于伊朗的信息不足，且需要的层数太多，本研究中使用的是美国阿拉巴马州蒙哥马利至伯明翰的65号州际公路(I-65)的信息。最后，使用mean-score、Borda和Copeland优先级策略对这些方法的结果进行比较。结果:考虑到问题的重要性和敏感性，结合MCDM方法对EMS站点进行定位，确定最合适的非模糊和模糊加权方法，并从计算的复杂性、计算量和时间以及专家意见的影响程度等方面对所使用的方法进行比较。结论:AHP法、FAHP Liu and Chen法、FAHP Chang法和TOPSIS法对路边EMS站点的定位结果更可靠，但使用FTOPSIS模糊法风险更大，不推荐使用。非模糊层次分析法被认为是本研究中最可靠的方法。
{"title":"Assessment of Fuzzification Effect of AHP and TOPSIS in Site Selection of Roadside EMS Stations","authors":"A. Mansourkhaki, B. Mojarradi, B. Ghobadipour, Soroush Maghsoud","doi":"10.52547/jorar.11.2.118","DOIUrl":"https://doi.org/10.52547/jorar.11.2.118","url":null,"abstract":"INTRODUCTION: In order to prevent and reduce the death and disability rates caused by road accidents, it is necessary to optimize the location of the roadside emergency medical service (EMS) stations. Optimal selection of the EMS stations is a multi-criteria decision-making (MCDM) problem and usually involves the analysis of a large number of possible options and evaluation criteria. Nowadays, various MCDM methods are used to solve location problems that may generate different results. The fuzzification of these methods has always been one of the controversial issues with many agreements and disagreements. METHODS: In this study, a review was first performed on the weighting methods including five non-fuzzy weighting methods as row sum, column sum, arithmetic mean, geometric mean, and eigenvalues as well as two fuzzy weighting methods including: “Liu and Chen method” and “Chang Method”. Then, the fuzzy and non-fuzzy MCDM methods [including analytic hierarchy process (AHP), fuzzy analytic hierarchy process (FAHP) Chang, FAHP Liu, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and fuzzy TOPSIS (FTOPSIS)] were employed to locate the roadside EMS stations. Due to insufficient information and all the required layers in Iran, the information of the Interstate-65 (I-65) Highway between Montgomery and Birmingham, Alabama, USA was used in the present study. Finally, the results of these methods were compared using the mean-score, Borda, and Copeland prioritization strategies. FINDINGS: Given the importance and sensitivity of the issue, a combination of the MCDM methods was utilized to locate the EMS stations and the most appropriate non-fuzzy and fuzzy weighting methods were identified and the methods used were compared in terms of complexity, volume and time of computations, and the level of impact of the expert opinion. CONCLUSION: The AHP, FAHP Liu and Chen, FAHP Chang, and TOPSIS methods yielded more reliable results in locating the roadside EMS stations, in addition, using FTOPSIS fuzzy method was more risky and is not recommended. The non-fuzzy AHP method was identified to be the most reliable method in the present study.","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126953377","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}
INTRODUCTION: The short resuscitation time for patients with asthma is one of the most urgent medical conditions with a high importance. In this study, the geographic information system (GIS) is used to analyze the access and transfer of emergency patients to health care centers (resuscitation, specialized, and health care services) to patients with respiratory problems with moderate and acute symptoms as the statistical sample. METHODS: Identifying the service area of the eligible health centers based on two factors of time and distance, the districts and streets covered by these centers were identified. Then, by spatial analysis, the appropriate service area available to the medical emergency centers and patients of this category was determined to facilitate their access to these areas. In addition, by calculating the time and distance cost matrix of the location of the patients with asthma attack relative to the treatment centers, the best treatment center for patient transfer was identified. After summarizing the appropriate model to calculate the service area for these patients, the spatial and descriptive data were collected in the study area (District 3 of Tehran, Iran) and their thematic maps were produced. Then, the time and distance matrix of transfer of patients was calculated for the spatial analysis and facilitation of their access to treatment centers related to respiratory diseases based on the two above factors. FINDINGS: Geospatial information system (GIS) and analysis of network access to appropriate respiratory care providers could save time and costs considerably. CONCLUSION: Establishment of time and location management systems for ambulances and identification of specific types of diseases at the moment of contact with the emergency departments of the medical care units can also play an important role in the rapid transfer of the patients to these centers.
{"title":"Spatial Analysis of Access and Transfer of Emergency (Asthma) Patients to Medical Centers on District 3 of Tehran, Iran","authors":"Morteza Heidari-Mozaffar, A. Pak","doi":"10.52547/jorar.11.2.103","DOIUrl":"https://doi.org/10.52547/jorar.11.2.103","url":null,"abstract":"INTRODUCTION: The short resuscitation time for patients with asthma is one of the most urgent medical conditions with a high importance. In this study, the geographic information system (GIS) is used to analyze the access and transfer of emergency patients to health care centers (resuscitation, specialized, and health care services) to patients with respiratory problems with moderate and acute symptoms as the statistical sample. METHODS: Identifying the service area of the eligible health centers based on two factors of time and distance, the districts and streets covered by these centers were identified. Then, by spatial analysis, the appropriate service area available to the medical emergency centers and patients of this category was determined to facilitate their access to these areas. In addition, by calculating the time and distance cost matrix of the location of the patients with asthma attack relative to the treatment centers, the best treatment center for patient transfer was identified. After summarizing the appropriate model to calculate the service area for these patients, the spatial and descriptive data were collected in the study area (District 3 of Tehran, Iran) and their thematic maps were produced. Then, the time and distance matrix of transfer of patients was calculated for the spatial analysis and facilitation of their access to treatment centers related to respiratory diseases based on the two above factors. FINDINGS: Geospatial information system (GIS) and analysis of network access to appropriate respiratory care providers could save time and costs considerably. CONCLUSION: Establishment of time and location management systems for ambulances and identification of specific types of diseases at the moment of contact with the emergency departments of the medical care units can also play an important role in the rapid transfer of the patients to these centers.","PeriodicalId":137497,"journal":{"name":"Journal of Rescue Relief","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128585330","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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