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A Verification Test for an Assessment System: Rapid Assessment System of Evacuation Center Condition- Gonryo and Miyagi (RASECC-GM) that Utilizes Mobile Devices

Published online by Cambridge University Press:  06 May 2019

Tadashi Ishii
Affiliation:
Tohoku University Hospital, Sendai, Japan
Kazuma Morino
Affiliation:
Yamagata Prefectural Central Hospital, Yamagata-shi, Japan
Masaharu Nakayama
Affiliation:
Tohoku University School of Medicine, Sendai-shi, Japan
Tomohiko Mase
Affiliation:
Iwate Medical University, Shiwa-gun, Japan
Hiroyuki Fujiwara
Affiliation:
Iwate Medical University, Shiwa-gun, Japan
Manabu Ichikawa
Affiliation:
Shibaura Institute of Technology, Saitama-shi, Japan
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Abstract

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Introduction:

On March 11, 2011, the Great East Japan Earthquake struck the northeastern coast of Japan with the magnitude nine. Ishinomaki medical zone was affected most severely with 328 evacuation shelters and approximately 50,000 evacuees. The Ishinomaki Zone Joint Relief Team gathered information directly from all evacuation shelters using assessment sheets. Based on this assessment data, various measures were carried out for environmental improvement of the shelters. To prepare for the next major disaster, a software program called Rapid Assessment System of Evacuation Center Condition - Gonryo and Miyagi (RASECC-GM) was developed, which computerizes the whole process, including entering, tabulating, and managing of shelter assessment data.

Aim:

To verify the feasibility, usability, and accuracy of RASECC-GM, a verification test was performed using mock shelter data on October 23-26, 2018, to coincide with Logistics Training Course of Medical Logistics for Disasters held by Iwate Medical University.

Methods:

On October 22, 2018 at four simulated disaster relief and health care branches, participants at each branch were asked to enter two mock shelter data items, submit a closed shelter request, and register a new shelter using RASECC-GM, respectively. The next day participants were asked to enter two mock shelter data items per branch while offline and upload the data to the server when next online. The uploaded data was checked for accuracy and whether it could be viewed on the management screen. After the test, a questionnaire survey was given to participants to verify the feasibility and usability of RASECC-GM.

Results:

It was confirmed that RASECC-GM functioned almost correctly. All participants answered that input operation was easy to understand, and 90.9% of participants could input without a mistake and did not feel stress when inputting data.

Discussion:

RASECC-GM appeared to be useful to shelter assessment, but further improvements are needed for practical use.

Type
Poster Presentations
Copyright
© World Association for Disaster and Emergency Medicine 2019