Literature DB >> 33807955

Statewide Ambulance Coverage of a Mixed Region of Urban, Rural and Frontier under Travel Time Catchment Areas.

EunSu Lee1, Melanie McDonald1, Erin O'Neill2, William Montgomery3.   

Abstract

This study examines the statewide service coverage of emergency medical services (EMS) in view of public health planners, policy makers, and ambulance service managers. The study investigates the statewide service coverage in a mixed region of urban, rural, and frontier regions to address the importance of ambulance service coverage at a large scale. The study incorporated statewide road networks for ambulance travel time, census blocks for population, and backup service coverage using geographic information systems (GIS). The catchment areas were delineated by the travel time after subtracting chute time for each Census Block as an analysis zone. Using the catchment areas from the ambulance base to the centroid of Census Block, the population and land coverage were calculated. The service shortage and multiple coverage areas were identified by the catchment areas. The study found that both reducing chute time and increasing the speed of emergency vehicles at the same time was significantly more effective than improving only one of two factors. The study shows that the service is improved significantly in frontier and urban areas by increasing driving time and chute time. However, in rural areas, the improvement is marginal owing to wider distribution than urban areas and shorter threshold response time than frontier areas. The public health planners and EMS managers benefit from the study to identify underserved areas and redistribute limited public resources.

Entities:  

Keywords:  GIS; backup service; catchment; chute time; land coverage; population covered ratio; response time; rural public health; service coverage

Year:  2021        PMID: 33807955      PMCID: PMC7967361          DOI: 10.3390/ijerph18052638

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  9 in total

1.  Using spatial regression methods to evaluate rural emergency medical services (EMS).

Authors:  Zhaoxiang He; Xiao Qin; Ralph Renger; Eric Souvannasacd
Journal:  Am J Emerg Med       Date:  2018-11-22       Impact factor: 2.469

2.  Identifying rural-urban differences in the predictors of emergency ambulance service demand and misuse.

Authors:  Ho Ting Wong; Teng-Kang Lin; Jen-Jia Lin
Journal:  J Formos Med Assoc       Date:  2018-06-13       Impact factor: 3.282

3.  Comparison of Volunteer and Paid EMS Professionals in the United States.

Authors:  Rebecca E Cash; Madison K Rivard; Kirsten Chrzan; Christopher B Mercer; Carlos A Camargo; Ashish R Panchal
Journal:  Prehosp Emerg Care       Date:  2020-05-01       Impact factor: 3.077

4.  National characteristics of emergency medical services responses in the United States.

Authors:  Henry E Wang; N Clay Mann; Karen E Jacobson; Mengtao Dai Ms; Gregory Mears; Kathleen Smyrski; Donald M Yealy
Journal:  Prehosp Emerg Care       Date:  2012-10-16       Impact factor: 3.077

5.  Population-level Spatial Access to Prehospital Care by the National Ambulance Service in Ghana.

Authors:  Gavin Tansley; Barclay Stewart; Ahmed Zakariah; Edmund Boateng; Christiana Achena; Daniel Lewis; Charles Mock
Journal:  Prehosp Emerg Care       Date:  2016-04-13       Impact factor: 3.077

6.  Characterizing the influence of transportation infrastructure on Emergency Medical Services (EMS) in urban area-A case study of Seoul, South Korea.

Authors:  Jungwoo Cho; Myoungsoon You; Yoonjin Yoon
Journal:  PLoS One       Date:  2017-08-14       Impact factor: 3.240

7.  Comparing population and incident data for optimal air ambulance base locations in Norway.

Authors:  Jo Røislien; Pieter L van den Berg; Thomas Lindner; Erik Zakariassen; Oddvar Uleberg; Karen Aardal; J Theresia van Essen
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-05-24       Impact factor: 2.953

8.  Improving ambulance coverage in a mixed urban-rural region in Norway using mathematical modeling.

Authors:  Pieter L van den Berg; Peter Fiskerstrand; Karen Aardal; Jørgen Einerkjær; Trond Thoresen; Jo Røislien
Journal:  PLoS One       Date:  2019-04-12       Impact factor: 3.240

Review 9.  Response time as a sole performance indicator in EMS: Pitfalls and solutions.

Authors:  Sultan Zayed Khalifah Al-Shaqsi
Journal:  Open Access Emerg Med       Date:  2010-01-08
  9 in total

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