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Challenges Introducing a Novel Health Assessment System in Disaster-prone Japan: Community-Oriented Approach for Comprehensive Healthcare in Emergency Situations (COACHES)

Published online by Cambridge University Press:  13 July 2023

Mari Kinoshita
Affiliation:
University of Kochi, Kochi, Indonesia
Mikiko Nakai
Affiliation:
University of Kochi, Kochi, Indonesia
Ikuko Shimada
Affiliation:
University of Kochi, Kochi, Indonesia
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Abstract

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Introduction:

Collecting real-time individual health data of all disaster-affected populations is usually considered impossible. The University of Kochi's team and its partners conceived a novel health assessment system named "Community Oriented Approach for Comprehensive Healthcare in Emergency Situations (COACHES)." It collects individual health data anonymously and records such data in a cloud-based database. The system runs on any personal mobile device by scanning a personal identification code (QR code). It is expected that anyone on site with qualifications in healthcare will run this system as a volunteer to ensure data reliability. The COACHES app development is in process, and its prototype is currently available. This study aimed to assess how people react to the novel system and see the feasibility of installation in Japan.

Method:

Two focus group interviews (FGI) were conducted in a small coastal village in western Japan. The village anticipates severe damages with days of isolation once a large-scale earthquake followed by a tsunami hits the area. The first FGI was held with nine purposively recruited participants. The second FGI was held one month after and included seven of the first FGI participants with one of the absent participants providing a written response. FGI was for one-hour each, with discussion following the system demonstration. The voice data during the FGI were recorded and analyzed. The research was approved by the University of Kochi IRB.

Results:

Some showed intense interest in the system, whereas concerns such as the privacy violation for using personal devices, the availability of healthcare personnel, or a fear that anonymous data collection may delay identifying a person in need of assistance.

Conclusion:

Further studies are proposed, particularly in recruiting volunteers, data storage in case of technical damage, and how to make people with limited IT literacy comfortable using the new system.

Type
Lightning and Oral Presentations
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of World Association for Disaster and Emergency Medicine