Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice
Abstract Background Response time to cardiovascular emergency medical requests is an important indicator in reducing cardiovascular disease (CVD) -related mortality. This study aimed to visualize the spatial-time distribution of response time, scene time, and call-to-hospital time of these emergency...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-01-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-020-10064-1 |
| _version_ | 1818953258103734272 |
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| author | Ali Azimi Nasser Bagheri Sayyed Mostafa Mostafavi Mary Anne Furst Soheil Hashtarkhani Fateme Hashemi Amin Saeid Eslami Fatemeh Kiani Reza VafaeiNezhad Toktam Akbari Amin Golabpour Behzad Kiani |
| author_facet | Ali Azimi Nasser Bagheri Sayyed Mostafa Mostafavi Mary Anne Furst Soheil Hashtarkhani Fateme Hashemi Amin Saeid Eslami Fatemeh Kiani Reza VafaeiNezhad Toktam Akbari Amin Golabpour Behzad Kiani |
| author_sort | Ali Azimi |
| collection | DOAJ |
| description | Abstract Background Response time to cardiovascular emergency medical requests is an important indicator in reducing cardiovascular disease (CVD) -related mortality. This study aimed to visualize the spatial-time distribution of response time, scene time, and call-to-hospital time of these emergency requests. We also identified patterns of clusters of CVD-related calls. Methods This cross-sectional study was conducted in Mashhad, north-eastern Iran, between August 2017 and December 2019. The response time to every CVD-related emergency medical request call was computed using spatial and classical statistical analyses. The Anselin Local Moran’s I was performed to identify potential clusters in the patterns of CVD-related calls, response time, call-to-hospital arrival time, and scene-to-hospital arrival time at small area level (neighborhood level) in Mashhad, Iran. Results There were 84,239 CVD-related emergency request calls, 61.64% of which resulted in the transport of patients to clinical centers by EMS, while 2.62% of callers (a total of 2218 persons) died before EMS arrival. The number of CVD-related emergency calls increased by almost 7% between 2017 and 2018, and by 19% between 2017 and 2019. The peak time for calls was between 9 p.m. and 1 a.m., and the lowest number of calls were recorded between 3 a.m. and 9 a.m. Saturday was the busiest day of the week in terms of call volume. There were statistically significant clusters in the pattern of CVD-related calls in the south-eastern region of Mashhad. Further, we found a large spatial variation in scene-to-hospital arrival time and call-to-hospital arrival time in the area under study. Conclusion The use of geographical information systems and spatial analyses in modelling and quantifying EMS response time provides a new vein of knowledge for decision makers in emergency services management. Spatial as well as temporal clustering of EMS calls were present in the study area. The reasons for clustering of unfavorable time indices for EMS response requires further exploration. This approach enables policymakers to design tailored interventions to improve response time and reduce CVD-related mortality. |
| first_indexed | 2024-12-20T10:03:24Z |
| format | Article |
| id | doaj.art-eba37de79ebb4255bc640f3400be6579 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-20T10:03:24Z |
| publishDate | 2021-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-eba37de79ebb4255bc640f3400be65792022-12-21T19:44:18ZengBMCBMC Public Health1471-24582021-01-0121111210.1186/s12889-020-10064-1Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practiceAli Azimi0Nasser Bagheri1Sayyed Mostafa Mostafavi2Mary Anne Furst3Soheil Hashtarkhani4Fateme Hashemi Amin5Saeid Eslami6Fatemeh Kiani7Reza VafaeiNezhad8Toktam Akbari9Amin Golabpour10Behzad Kiani11Department of Medical Informatics, School of Medicine, Mashhad University of Medical SciencesCenter for Mental Health Research College of Health and Medicine, Australian National UniversityDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical SciencesCenter for Mental Health Research College of Health and Medicine, Australian National UniversityDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical SciencesDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical SciencesDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical SciencesDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical SciencesCenter for Accident and Emergency Medicine Management, Mashhad University of Medical SciencesStudent Research Committee, School of Health, Mashhad University of Medical SciencesDepartment of Health Information Technology, Shahroud University of Medical SciencesDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical SciencesAbstract Background Response time to cardiovascular emergency medical requests is an important indicator in reducing cardiovascular disease (CVD) -related mortality. This study aimed to visualize the spatial-time distribution of response time, scene time, and call-to-hospital time of these emergency requests. We also identified patterns of clusters of CVD-related calls. Methods This cross-sectional study was conducted in Mashhad, north-eastern Iran, between August 2017 and December 2019. The response time to every CVD-related emergency medical request call was computed using spatial and classical statistical analyses. The Anselin Local Moran’s I was performed to identify potential clusters in the patterns of CVD-related calls, response time, call-to-hospital arrival time, and scene-to-hospital arrival time at small area level (neighborhood level) in Mashhad, Iran. Results There were 84,239 CVD-related emergency request calls, 61.64% of which resulted in the transport of patients to clinical centers by EMS, while 2.62% of callers (a total of 2218 persons) died before EMS arrival. The number of CVD-related emergency calls increased by almost 7% between 2017 and 2018, and by 19% between 2017 and 2019. The peak time for calls was between 9 p.m. and 1 a.m., and the lowest number of calls were recorded between 3 a.m. and 9 a.m. Saturday was the busiest day of the week in terms of call volume. There were statistically significant clusters in the pattern of CVD-related calls in the south-eastern region of Mashhad. Further, we found a large spatial variation in scene-to-hospital arrival time and call-to-hospital arrival time in the area under study. Conclusion The use of geographical information systems and spatial analyses in modelling and quantifying EMS response time provides a new vein of knowledge for decision makers in emergency services management. Spatial as well as temporal clustering of EMS calls were present in the study area. The reasons for clustering of unfavorable time indices for EMS response requires further exploration. This approach enables policymakers to design tailored interventions to improve response time and reduce CVD-related mortality.https://doi.org/10.1186/s12889-020-10064-1Cardiovascular diseaseEmergency medical servicesSpatial analysisGeographical information systemsAmbulance servicesResponse time |
| spellingShingle | Ali Azimi Nasser Bagheri Sayyed Mostafa Mostafavi Mary Anne Furst Soheil Hashtarkhani Fateme Hashemi Amin Saeid Eslami Fatemeh Kiani Reza VafaeiNezhad Toktam Akbari Amin Golabpour Behzad Kiani Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice BMC Public Health Cardiovascular disease Emergency medical services Spatial analysis Geographical information systems Ambulance services Response time |
| title | Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice |
| title_full | Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice |
| title_fullStr | Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice |
| title_full_unstemmed | Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice |
| title_short | Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice |
| title_sort | spatial time analysis of cardiovascular emergency medical requests enlightening policy and practice |
| topic | Cardiovascular disease Emergency medical services Spatial analysis Geographical information systems Ambulance services Response time |
| url | https://doi.org/10.1186/s12889-020-10064-1 |
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