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Temporal Trends in Acute Mental Health Problems during the Emergency Medical Team Response to Cyclone Idai 2019 in Mozambique: Findings from the WHO Emergency Medical Team Minimum Data Set

Published online by Cambridge University Press:  04 March 2025

Ami Fukunaga*
Affiliation:
Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
Odgerel Chimed-Ochir
Affiliation:
Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
Yui Yumiya
Affiliation:
Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
Matchecane Cossa
Affiliation:
Ministry of Health of Mozambique, Maputo, Mozambique, Avenida Eduardo Mondlane, Maputo, Mozambique
Isse Ussene
Affiliation:
Ministry of Health of Mozambique, Maputo, Mozambique, Avenida Eduardo Mondlane, Maputo, Mozambique
Yoshiki Toyokuni
Affiliation:
National Hospital Organization Headquarters DMAT Secretariat MHLW Japan, Tokyo, Japan Japan Disaster Relief Expert Team for Mozambique Cyclone Idai Response 2019
Ryoma Kayano
Affiliation:
World Health Organization Centre for Health Development (WHO Kobe Centre), Kobe, Japan
Flavio Salio
Affiliation:
Emergency Medical Teams, World Health Organization, Geneva, Switzerland
Tatsuhiko Kubo
Affiliation:
Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan Japan Disaster Relief Expert Team for Mozambique Cyclone Idai Response 2019
*
Corresponding author: Ami Fukunaga; Email: afukunaga@hiroshima-u.ac.jp
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Abstract

Objective

In 2017, the World Health Organization introduced an international standardized medical data collection tool for disasters, known as the Emergency Medical Team (EMT) Minimum Data Set (MDS). The EMT MDS was activated for the first time in 2019 in response to Cyclone Idai in Mozambique. The present study aimed to examine the daily and phase trends in acute mental health problems identified by international EMTs during their response to Cyclone Idai and reported using the EMT MDS.

Methods

Joinpoint regression analysis was used to examine daily trends in acute mental health consultations. Trends were also examined by phases, which were identified using joinpoints.

Results

During the 90-day EMT response period following Cyclone Idai, 94 acute mental health consultations were reported. The daily trend analysis showed a significant increase in the daily number and percentage of acute mental health consultations from response onset until day 13, followed by a gradual decline (P<0.05). The phase trend analysis showed a consistent decrease across the identified phases (P for trend<0.001).

Conclusions

The findings of this study provide insight into the need for mental health support in the immediate aftermath of natural disasters and how that need may change over time.

Information

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc
Figure 0

Table 1. Characteristics of health-related consultations reported by Emergency Medical Teams, Cyclone Idai, 2019

Figure 1

Figure 1. Distribution of health-related consultations reported by Emergency Medical Teams, Cyclone Idai, 2019

Figure 2

Figure 2. Daily trend in the number of acute mental health consultations. *indicates that Daily Percentage Change (DPC) is significantly different from zero at p-value<0.05

Figure 3

Figure 3. Daily trend in the percentage of acute mental health consultations. *indicates that Daily Percentage Change (DPC) is significantly different from zero at p-value<0.05

Figure 4

Figure 4. Phase trend in the percentage of acute mental health consultations among total consultations

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