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Lifetime economic burden of hemophilia using a nationwide real-world healthcare data

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  • Joo-Young Byun
  • Jae-Hoon Jung
  • Suk-Chan Jang
  • Jamin Lim
  • Mihai Park
  • Eui-Kyung Lee

Abstract

Background: Patients with hemophilia require lifelong treatment, but the real-world lifetime economic burden of hemophilia remains unclear. This study aims to estimate the lifetime economic burden of hemophilia using real-world data, accounting for cost variation by disease phase and over time. Methods: Male patients with hemophilia A (PwHa) or B (PwHb) recorded in South Korea’s Health Insurance Review and Assessment (HIRA) database from 2007 to 2022 were included. Survival was estimated using the rolling extrapolation method. A phase-specific costing approach was applied, distinguishing three phases: before hemophilic arthropathy (BH), after hemophilic arthropathy (AH), and 1 year before death (BD). Transition probabilities from BH to AH were calculated based on incidence rates of hemophilic arthropathy. Phase-specific annual costs were modeled using generalized estimating equations (GEEs), and predicted costs were multiplied by phase-specific probabilities from birth to estimated life expectancy to derive lifetime costs. Results: Estimated life expectancy for PwHa (n = 2,624) and PwHb (n = 664) in South Korea between 2007−2022 was 76.13 and 77.54 years, respectively. The incidence rate of hemophilic arthropathy was 0.090 cases/person-year [95% confidence interval, 0.084–0.097] for PwHa and 0.080 [0.070–0.092] for PwHb, yielding transition probabilities from BH to AH of 0.086 (PwHa) and 0.077 (PwHb). Mean annual costs were highest in the BD phase, followed by AH and BH phases: PwHa (BH: $11,331; AH: $27,271; BD: $27,985); PwHb (BH: $15,567; AH: $38,659; BD: $55,985). Compared to PwHa, PwHb incurred 1.37 and 1.42 times higher BH and AH costs, respectively (p

Suggested Citation

  • Joo-Young Byun & Jae-Hoon Jung & Suk-Chan Jang & Jamin Lim & Mihai Park & Eui-Kyung Lee, 2025. "Lifetime economic burden of hemophilia using a nationwide real-world healthcare data," PLOS ONE, Public Library of Science, vol. 20(10), pages 1-13, October.
  • Handle: RePEc:plo:pone00:0333683
    DOI: 10.1371/journal.pone.0333683
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