Hostname: page-component-8448b6f56d-c4f8m Total loading time: 0 Render date: 2024-04-23T21:25:24.981Z Has data issue: false hasContentIssue false

Cross-Sectional Study on Risk of Flooding and Landslides and Their Associated Perceptions Among Home Health-Care Patients Living in Fukui Prefecture, Japan

Published online by Cambridge University Press:  13 October 2022

Makoto Yoshida
Affiliation:
Teikyo University School of Medicine, Tokyo, Japan
Hirotomo Miyatake*
Affiliation:
Orange Home-Care Clinic, Fukui, Japan
Hidehisa Masunaga
Affiliation:
Orange Home-Care Clinic, Fukui, Japan
Makoto Kosaka
Affiliation:
Orange Home-Care Clinic, Fukui, Japan Faculty of Medicine, The University of Tokyo, Tokyo, Japan
Yudai Kaneda
Affiliation:
Hokkaido University School of Medicine, Hokkaido, Japan
Yasuhiro Kotera
Affiliation:
Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, United Kingdom
Yoshitaka Nishikawa
Affiliation:
Orange Home-Care Clinic, Fukui, Japan Department of Internal Medicine, Soma Central Hospital, Fukushima, Japan
Chie Tsunetoshi
Affiliation:
Orange Home-Care Clinic, Fukui, Japan
Izumi Yoshida
Affiliation:
Department of Dermatology and Allergology, University Hospital Augsburg, Augsburg, Germany
Fubuki Ogawa
Affiliation:
Orange Home-Care Clinic, Fukui, Japan
Akihiko Ozaki
Affiliation:
Orange Home-Care Clinic, Fukui, Japan Department of Breast and Throid Surgery, Jyoban Hospital of Tokiwa Foundation, Fukushima, Japan
Hiroyuki Beniya
Affiliation:
Orange Home-Care Clinic, Fukui, Japan
*
Corresponding author: Hirotomo Miyatake, Email: hmiyatake@orangeclinic.jp.

Abstract

Objective:

This study aimed to evaluate a risk of flooding and landslides among home-care patients, to reveal an extent to which patients require support for evacuation, and to determine whether risk was accurately perceived among the patients.

Methods:

This is a cross-sectional study targeting the patients who were actively treated at the home-care clinic in Fukui Prefecture, Japan. We collected data on the patients’ sociodemographic and clinical characteristics. Additionally, we collected data on their risk of flooding and landslides through hazard maps and distributed a questionnaire to these patients regarding their risk awareness of flooding and landslides.

Results:

Of the 199 eligible home-care patients, 84.9% (169 of 199) were at risk of flooding and/or landslides, and 58.6% (99 of 169) of them needs support during evacuation. Furthermore, of those who were at risk of flooding and/or landslides, 46.0% (45 of 99) had accurate risk assessments. Factors that resulted in inadequate risk awareness of flooding and landslides included: not placing importance on evacuation, not using medical equipment, and living on the first floor.

Conclusions:

There was limited risk awareness of flooding and/or landslides among the home-care patients. The information of the risk factors regarding inadequate risk awareness of flooding and landslides should be used to sophisticate flooding and landslides evacuation strategy.

Type
Original Research
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Kenneth Research. Home Healthcare Market - Global Revenue, Trends, Growth, Share, Size and Forecast. Accessed October 9, 2021. https://prtimes.jp/main/html/rd/p/000001427.000059861.html Google Scholar
Alderman, K, Turner, LR, Tong, S. Floods and human health: a systematic review. Environ Int. 2012;47:37-47. doi: 10.1016/j.envint.2012.06.003 CrossRefGoogle ScholarPubMed
Fernandez, LS, Byard, D, Lin, CC, et al. Frail elderly as disaster victims: emergency management strategies. Prehosp Disaster Med. 2002;17(2):67-74. doi: 10.1017/s1049023x00000200 CrossRefGoogle ScholarPubMed
Claver, ML, Wyte-Lake, T, Dobalian, A. Disaster preparedness in home-based primary care: policy and training. Prehosp Disaster Med. 2015;30(4):337-343. doi: 10.1017/s1049023x15004847 CrossRefGoogle ScholarPubMed
Yoshida, I, Ozaki, A, Morita, T, et al. Characteristics of flood fatalities in Japan’s Typhoon Hagibis in 2019: secondary analysis of public data and media reports. Disaster Med Public Health Prep. 2021:1-5. doi: 10.1017/dmp.2021.163 Google ScholarPubMed
Ozaki, A, Kanemoto, Y, Wada, M, et al. A call for individualized evacuation strategies for floods: a case report of secondary surgical site infection in a postsurgery breast cancer patient in Fukushima, Japan, following Typhoon Hagibis in 2019. Clin Case Rep. 2021;9(3):1212-1214. doi: 10.1002/ccr3.3727 CrossRefGoogle Scholar
Ministry of Health, Labour and Welfare. Overview of patient surveys 2017. Accessed Ocotber 9, 2021. https://www.mhlw.go.jp/toukei/saikin/hw/kanja/17/index.html Google Scholar
Hara, H, Okamaura, S, Kondo, T, et al. Challenges and recommendations for home medical care in times of disaster: experiences from Typhoon No. 21 in 2008. Amagasaki Medical Association 2018. Accessed October 9, 2021. https://www.amagasaki.hyogo.med.or.jp/news/1585/ Google Scholar
Hata, K, Hata, M. [Balance in Disaster Preparedness between Public, Self-, and Mutual Help for Home-Cared Individuals]. Gan To Kagaku Ryoho. 2018;45(Suppl 1):65-68.Google ScholarPubMed
Wakui, T, Agree, EM, Saito, T, et al. Disaster preparedness among older Japanese adults with long-term care needs and their family caregivers. Disaster Med Public Health Prep. 2017;11(1):31-38. doi: 10.1017/dmp.2016.53 Google ScholarPubMed
Miyatake, H, Kosaka, M, Arita, S, et al. Videoconferencing for home care delivery in Japan: observational study. J Med Internet Res. 2021;23(9):e23539. doi: 10.2196/23539 CrossRefGoogle ScholarPubMed
Kosaka, M, Miyatake, H, Kotera, Y, et al. The survival time of end-of-life home care patients in Fukui prefecture, Japan: a retrospective observational study. Medicine (Baltimore). 2021;100(38):e27225. doi: 10.1097/md.0000000000027225 CrossRefGoogle ScholarPubMed
Kosaka, M, Miyatake, H, Arita, S, et al. Emergency transfers of home care patients in Fukui Prefecture, Japan: a retrospective observational study. Medicine (Baltimore). 2020;99(29):e21245. doi: 10.1097/md.0000000000021245 CrossRefGoogle ScholarPubMed
Brannen, DE, Branum, M, Pawani, S, et al. Medical allocations to persons with special needs during a bioterrorism event. Online J Public Health Inform. 2016;8(3):e200. doi: 10.5210/ojphi.v8i3.6977 CrossRefGoogle ScholarPubMed
Ministry of Land, Infrastructure, Transport and Tourism of Japan. Overlapping hazard maps. 2020. Accessed December 1, 2020. https://disaportal.gsi.go.jp/maps/?ll=36.003024,139.413972&z=15&base=pale&vs=c1j0l0u0 Google Scholar
Yahoo Japan. Yahoo!map. 2020. Accessed December 1, 2020. https://map.yahoo.co.jp/ Google Scholar
Ministry of Land, Infrastructure, Transport and Tourism of Japan. Population living in disaster risk areas by prefecture; Accessed October 9, 2021. https://www.mlit.go.jp/kokudoseisaku/content/001373119.pdf Google Scholar
McAuley, WJ, Spector, WD, Van Nostrand, J, et al. The influence of rural location on utilization of formal home care: the role of Medicaid. Gerontologist. 2004;44(5):655-664. doi: 10.1093/geront/44.5.655 CrossRefGoogle ScholarPubMed
Lind, JD, Fickel, J, Cotner, BA, et al. Implementing Geographic Information Systems (GIS) into VHA home based primary care. Geriatr Nurs. 2020;41(3):282-289. doi: 10.1016/j.gerinurse.2019.10.010 CrossRefGoogle ScholarPubMed
Rees-Roberts, M, Williams, P, Hashem, F, et al. Hospice at Home services in England: a national survey. BMJ supportive & palliative care. Dec 2021;11(4):454-460. doi: 10.1136/bmjspcare-2019-001818 CrossRefGoogle ScholarPubMed
Forbes, DA, Edge, DS. Canadian home care policy and practice in rural and remote settings: challenges and solutions. J Agromedicine. 2009;14(2):119-124. doi: 10.1080/10599240902724135 CrossRefGoogle ScholarPubMed
STYLE Aai. Average annual income and salary in Fukui Prefecture. March 24, 2022. Accessed March 24, 2022. https://nensyu-style.com/130/ Google Scholar
Database TWI. World inquality database. March 24, 2022. Accessed March 24, 2022. https://wid.world/income-comparator10.1080/10599240902724135 Google Scholar
Jia, Z, Tian, W, Liu, W, et al. Are the elderly more vulnerable to psychological impact of natural disaster? A population-based survey of adult survivors of the 2008 Sichuan earthquake. BMC Public Health. 2010;10:172. doi: 10.1186/1471-2458-10-172 CrossRefGoogle ScholarPubMed
Hirabayashi, Y, Mahendran, R, Koirala, S, et al. Global flood risk under climate change. Nat Clim Chang. 2013;3(9):816-821. doi: 10.1038/nclimate1911 CrossRefGoogle Scholar
Mahdaviazad, H, Abdolahifar, GR. Assessing hospital disaster preparedness in Shiraz, Iran 2011: teaching versus private hospitals. Am J Disaster Med. 2013;8(1):65-73. doi: 10.5055/ajdm.2013.0112 CrossRefGoogle ScholarPubMed
Stewart, M, Grahmann, B, Fillmore, A, et al. Rural community disaster preparedness and risk perception in Trujillo, Peru. Prehosp Disaster Med. 2017;32(4):387-392. doi: 10.1017/s1049023x17006380 CrossRefGoogle ScholarPubMed
Katada, T, Kodama, M, Saeki, H. Study on residents’ recognition of a flood hazard map and promotion measures of its recognition. J Proc Hydraul Eng. 2004;48:433-438. doi: 10.2208/prohe.48.433 CrossRefGoogle Scholar
Mobile Society Research Institute. Less than 40% are aware of hazard maps. Awareness of hazard maps tends to be low among those who do not have a relationship with their neighbors. Accessed October 5, 2021. https://www.moba-ken.jp/project/disaster/disaster20210602.html Google Scholar
Kapucu, N. Culture of preparedness: household disaster preparedness: household disaster preparedness. Disaster Prev Manage. 2008;17(4):526-535. doi: 10.1108/09653560810901773 CrossRefGoogle Scholar
Yamamoto, H. Characteristics of flood disaster by the Fukui heavy rainfall on July 18, 2004 at the Fukui city area on the left bank of the Asuwa River, Fukui Prefecture. J JPN Soc Nat Disaster Sci. 2007;26(1):41-53.Google Scholar
Supplementary material: File

Yoshida et al. supplementary material

Tables S1-S3

Download Yoshida et al. supplementary material(File)
File 23.4 KB