AIMS Public Health (Nov 2022)

Attitudes toward using “Simple simulator for calculating nutritional food stocks in preparation for large-scale disasters” among local governmental personnel and public health dietitians in Japan: An explanatory mixed methods study

  • Noriko Sudo,
  • Nobuyo Tsuboyama-Kasaoka,
  • Ikuko Shimada ,
  • Keiichi Sato ,
  • Akiko Kubo

DOI
https://doi.org/10.3934/publichealth.2022051
Journal volume & issue
Vol. 9, no. 4
pp. 734 – 757

Abstract

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The Japanese Ministry of Health, Labour and Welfare compiled an Excel sheet — “Simple simulator for calculating nutritional food stocks in preparation for large-scale disasters” (Simulator). We examined the level of recognition and use of the Simulator by local governments and identified the points for its improvement. In stage 1, we surveyed local government personnel who participated in the “Workshop for nutrition assistance during large-scale disasters” held in November 2020 (n = 458; 313 responded) with an online questionnaire on the use of the Simulator and associated issues. Stage 2 involved group interviews with 15 public health dietitians who had been involved in food assistance during past natural disasters to identify points for improving the Simulator and the problems with food assistance during natural disasters. In stage 1, 233 responders (74.4%) confirmed their awareness of the existence of the Simulator. While 85 individuals (36.6%) used the Simulator, 63 individuals (74.1%) confirmed that they would use it in the future to plan and evaluate local government stocks. In stage 2, multiple comments regarding the Simulator's applicability and improvement in a realistic situation were collected. In order for the administrative staff in charge of disaster management to understand the nutritional importance of stockpiling main/side dishes, it was suggested that specific combinations of foods that meet the required amounts should be shown and that visualization using food products and the number of people covered by stockpiled foods may be easier to understand than pure nutritional values.

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