Disaster Evacuation for Home-Based Patients with Special Healthcare Needs

A Cross-Sectional Study

Datos Bibliográficos

ID15469461
AutoresYukari Matsumoto (Fukuoka University), Hisao Nakai (0000-0001-9633-0255, Kanazawa Medical University, autor de correspondencia), Yumi Koga (0000-0001-5868-9507, Fukuoka University), Tamayo Hasegawa (Fukuoka University), Yumiko Miyagi (Fukuoka University)
Año2022
Volumen19
Número22
Páginas15356-15356
Fecha de publicación2022-11-21
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph192215356
PMID36430076
OpenAlexW4309787082
IdiomaEN
Citas recibidas1
Referencias citadas31

Recent super-typhoons and torrential rains triggered by global warming have had disproportionately large effects on medically vulnerable people in Japan. This study aimed to identify factors associated with intention to evacuate to the nearest public shelter among family caregivers of pediatric patients receiving home medical care. The study included family caregivers of these patients from the Department of Pediatrics, Fukuoka University Hospital, Japan, including family caregivers of young adults with special healthcare needs. An original questionnaire was prepared drawing on previous studies and used for an interview survey. Overall, 57 individuals provided valid data and were included in the analysis. Factors associated with evacuation intention were non-use of a home ventilator (odds ratio [OR] 3.99, 95% confidence interval [CI]: 1.13-14.03) and not having made arrangements to use a non-public shelter (OR 7.29 95% CI: 1.62-32.88). This means that those who use mechanical ventilation or have secured alternative places to go if they need to evacuate their homes may not use the nearest public shelter in a disaster. We recommend that policy makers consider the use of mechanical ventilation and the availability of non-public shelters as predictors of evacuation behavior when considering disaster preparedness for these patients

Confidence interval · Cross-sectional study · Disaster preparedness · Emergency management · Environmental health · Family medicine · Health care · Logistic regression · Medical emergency · Occupational safety and health · Odds · Odds ratio · Preparedness · Public health · Disaster Management and Resilience · Geriatric Care and Nursing Homes · Homelessness and Social Issues · Medicine · Nursing