4.2 Article

Direct health care cost of treatment and medication of biliary atresia patients using the National Database of Health Insurance Claims and Specific Health Checkups

Journal

PEDIATRIC SURGERY INTERNATIONAL
Volume 38, Issue 4, Pages 547-554

Publisher

SPRINGER
DOI: 10.1007/s00383-022-05079-1

Keywords

Biliary atresia; Direct health care cost; Health insurance claims in Japan

Funding

  1. Mitsubishi Foundation [201930034]

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This study estimated the direct healthcare costs of treating biliary atresia in children using a comprehensive national database in Japan. The findings revealed that the treatment of biliary atresia is resource-intensive and costly, providing valuable information for healthcare planning and cost-effectiveness analysis.
Background Treatment of biliary atresia (BA), which typically requires an initial surgical intervention called the Kasai procedure (KP) and possible liver transplant (LT) afterwards, is quite resource-intensive and would affect patients and families for a lifetime; yet a comprehensive view of the economic burden has not been reported. We estimated direct health care costs from the public payer perspective using the National Database of Health Insurance Claims and Specific Health Checkups of Japan. Methods Children newly diagnosed at ages 0 days to 4 years between April 2010 and September 2019 were identified. Costs of treatment were estimated for six phases of care: prediagnosis, KP and inpatient hospitalization, follow-up after KP, pre-transplant checkup, LT and inpatient hospitalization, and follow-up after LT. Results Mean total prediagnosis medical cost was $6847 (USD) and KP and inpatient hospitalization was $42,157 per year. Follow-up after KP was $15,499, and pre-transplant checkup after KP was $36,015 per year. Mean cost for LT and inpatient hospitalization was $105,334, and follow-up after liver transplant was $25,459 per year. Conclusions Treatment of BA requires extensive medical resource consumption. The use of the comprehensive national database allowed us to estimate the costs which will be useful for health service planning and cost-effectiveness analysis.

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