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 disease (CVD) -related mortality. This study aimed visualize the spatial-time distribution of response time, scene and call-to-hospital these requests. We also identified patterns clusters CVD-related calls. Methods cross-sectional was conducted Mashhad, north-eastern Iran, between August 2017 December 2019. The every request call computed using spatial classical statistical analyses. Anselin Local Moran’s I performed identify potential calls, arrival scene-to-hospital at small area level (neighborhood level) Iran. Results There were 84,239 61.64% which resulted transport patients clinical centers by EMS, while 2.62% callers (a total 2218 persons) died before EMS arrival. number calls increased almost 7% 2018, 19% peak for 9 p.m. 1 a.m., lowest recorded 3 a.m. Saturday busiest day week terms volume. statistically significant pattern south-eastern region Mashhad. Further, we found a large variation under study. Conclusion use geographical information systems analyses modelling quantifying provides new vein knowledge decision makers services management. Spatial as well temporal clustering present area. reasons unfavorable indices requires further exploration. approach enables policymakers design tailored interventions improve reduce