Characteristics of Type-2 Diabetics Who are Prone to High-Cost Medical Care Expenses by Bayesian Network

Sase, Yuji; Kumagai, Daiki; Suzuki, Teppei; Yamashina, Hiroko; Tani, Yuji; Fujiwara, Kensuke; Tanikawa, Takumi; Enomoto, Hisashi; Aoyama, Takeshi; Nagai, Wataru; Ogasawara, Katsuhiko

Characteristics of Type-2 Diabetics Who are Prone to High-Cost Medical Care Expenses by Bayesian Network

Sase, Yuji; Kumagai, Daiki; Suzuki, Teppei et al.

International journal of environmental research and public health, 2020, 17(15), 5271

Permalink : https://hdl.handle.net/2115/79590

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アクセス権	open access
URI	https://hdl.handle.net/2115/79590
タイトル	Characteristics of Type-2 Diabetics Who are Prone to High-Cost Medical Care Expenses by Bayesian Network
著者	Sase, Yuji ; Kumagai, Daiki ; Suzuki, Teppei ; Yamashina, Hiroko ; Tani, Yuji ; Fujiwara, Kensuke ; Tanikawa, Takumi ; Enomoto, Hisashi ; Aoyama, Takeshi ; Nagai, Wataru ; Ogasawara, Katsuhiko
著者名 Sase, Yuji
著者名 Kumagai, Daiki
著者名 Suzuki, Teppei
e-Rad_Researcher 00726242 著者名 Yamashina, Hiroko
e-Rad_Researcher 70768689 著者名 Tani, Yuji
著者名 Fujiwara, Kensuke
e-Rad_Researcher 40446539 著者名 Tanikawa, Takumi
著者名 Enomoto, Hisashi
著者名 Aoyama, Takeshi
著者名 Nagai, Wataru
e-Rad_Researcher 90322859 著者名 Ogasawara, Katsuhiko
言語	英語
キーワード	health economics
	bayesian network
	diabetes
	National Health Insurance
	medical costs
	specific health checkups
発行日	2020-07-22
出版者	MDPI
収録物名	International journal of environmental research and public health
巻(号)	17(15)
ページ	5271
抄録	Objective: This study aims to determine the characteristics of Type 2 diabetic patients who are more likely to cause high-cost medical expenses using the Bayesian network model.Methods: The 2011-2015 receipt data of Iwamizawa city, Japan were collected from the National Health Insurance Database. From the record, we identified patients with Type 2 diabetes with the following items: age, gender, area, number of days provided medical services, number of diseases, number of medical examinations, annual healthcare expenditures, and the presence or absence of hospitalization. The Bayesian network model was applied to identify the characteristics of the patients, and four observed values were changed using a model for patients who paid at least 3607 USD a year for medical expenses. The changes in the conditional probability of the annual healthcare expenditures and changes in the percentage of patients with high-cost medical expenses were analyzed.Results: After changing the observed value, the percentage of patients with high-cost medical expense reimbursement increased when the following four conditions were applied: the patient "has ever been hospitalized", "had been provided medical services at least 18 days a year", "had at least 14 diseases listed on medical insurance receipts", and "has not had specific health checkups in five years".Conclusions: To prevent an excessive rise in healthcare expenditures in Type 2 diabetic patients, measures against complications and promoting encouragement for them to undergo specific health checkups are considered as effective.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
PISSN	1661-7827
EISSN	1660-4601
関連情報	PMID 32707809
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.3390/ijerph17155271