Online Program

282073
Quantify and visualize disparities in accessibility of physician response vehicles and helicopter emergency medical services: Use of the geographic information system


Sunday, November 3, 2013

Michi Sakai, PhD, MPH, Center for Health Service, Outcomes Research and Development – Japan (CHORD-J), Tokyo, Japan
Sachiko Ohta, MD, PhD, MS, FACP, Health Informatics and Management Professionals (HIMAP) General Association, Tokyo, Japan
Takenobu Shimizu, MD, MPH, Health Informatics and Management Professionals (HIMAP) General Association, Tokyo, Japan
Kazuo Okuchi, MD, PhD, Department of Emergency and Critical Care Medicine, Nara Medical University, Kashihara, Nara, Japan
Junichiro Yokota, MD, PhD, Sakai City Hospital, Sakai, Osaka, Japan
Noriaki Aoki, MD, PhD, MS, MBA, CPE, FACP, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX
Background: Physician Response Vehicles (PRV) and Helicopter Emergency Medical Services (HEMS) provide faster physician access to patients in critical condition. While both are resource-intensive, few studies have investigated effective resource utilization for PRVs and HEMS given the disparity in patient needs and access to emergency units (EU). We aimed to quantify and visualize the needs and availability of PRVs and HEMS for severe trauma patients.

Methods: We estimated the number of severe trauma patients in Kyushu, a major Japanese island with 7 prefectures, a total area of 35,640 km², and a population of 13,352,928, using EMS transportation records and the population for each mesh block (1 km²). Transportation time from each mesh to EUs and distance from each mesh to heliports were calculated using MapInfo. Mesh categorization included: 1) Ambulance covered (within 30 minutes from dispatch to arrival), 2) PRV covered (within 30 minutes from PRV-equipped EU), 3) HEMS covered (within 50 km from heliport), or 4) Non-covered. We assumed that EUs only cover patients injured within the prefecture, with no disaster-prevention helicopter available. Patients were mapped into each group to visualize disparities in access to PRVs or HEMS.

Results: Annual mean number of severe trauma patients was 26.8 per population 100,000. In Kyushu, 644.2 (20.2%) of 3,191.1 patients were estimated to require EMS in ‘Non-covered' mesh blocks. If EUs cover patients outside the prefecture and utilize disaster-prevention helicopters, additional 67.4 patients (2.1%) could be coverd. Our approach will be useful for examining effective resource utilization for PRVs and HEMS.

Learning Areas:

Epidemiology
Provision of health care to the public
Public health or related public policy
Public health or related research

Learning Objectives:
Evaluate the number of severe trauma patients and availability of Physician Response Vehicles (PRV) and Helicopter Emergency Medical Services (HEMS) in each mesh block (area of 1 km squared) by integrating epidemiologic data and geographic data. Identify and visualize existing disparities in patients’ needs and coverage of EMS on the map. Discuss the utility of GIS for examining effective resource utilization for PRVs and HEMS.

Keyword(s): EMS/Trauma, Geographic Information Systems

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have more than 3 years experience performing research regarding needs and supply of health care using geographic information system (GIS). I analyzed the data and wrote the content of this presentation.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.