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. 2024 Nov 20;24(1):1437.
doi: 10.1186/s12913-024-11850-y.

Distribution and predictors of haemophilia-related costs in the United Kingdom: analysis of the CHESS I and CHESS II burden of illness studies

Ione Woollacott  1 , Amit Chhabra  1 , Tom Burke  2   3 , Jack Brownrigg  1 , Lucy Richardson  1 , Enrico Ferri Grazzi  4 , Jamie O'Hara  5   6 , Josie Godfrey  7 , Michael Laffan  8
Affiliations

Distribution and predictors of haemophilia-related costs in the United Kingdom: analysis of the CHESS I and CHESS II burden of illness studies

Ione Woollacott et al. BMC Health Serv Res. .

Abstract

Background: Few studies have evaluated direct medical or societal costs of haemophilia in the United Kingdom (UK), and how patient characteristics impact future costs is uncertain. Cost predictors were identified and examined using cross-sectional data from the CHESS I and II studies.

Methods: Patient- and physician-reported outcomes were analysed for UK adult males aged ≤ 65, with haemophilia A or B and no recent clinical trial participation. Demographics, haemophilia type and severity, inhibitors, annual bleed rate (ABR), problem joints (PJs), treatment type, and comorbidities, were utilised in regression analyses. Health-related quality of life was assessed using EQ-5D. Generalised linear models estimated expected non-drug haemophilia-related direct medical costs (DMC) and societal costs (non-drug DMC, direct non-medical and indirect costs). Average marginal effects (AMEs) determined predictors of cost.

Results: Costs for 378 patients were analysed. Mean age was 33 years and 79% (299) had haemophilia A. Mean annual per-patient DMC were £165,001 (including factor treatment costs) and £4,091 when excluding factor replacement treatment costs (non-drug DMC). Mean annual per-patient non-treatment societal costs were £11,550 (standard deviation £20,171) among those with data available (n = 51). Number of PJs, ABR, and treatment regimen were significant determinants of haemophilia-related non-drug DMC (all P < 0.001). Non-drug DMC increased as ABR increased (AMEs were £2,018 for ABR 1-5, £3,101 for ABR 6-10 and £5,785 for ABR ≥ 11, vs. ABR 0) and by £1,869 per additional PJ. No significant predictors of non-drug haemophilia-related societal costs were identified. Mean EQ-5D score was 0.66, with lower scores observed for people with haemophilia B (0.48) compared with haemophilia A (0.71) and with increasing haemophilia severity.

Conclusions: UK direct medical and societal costs of haemophilia are substantial. Non-drug DMC were particularly associated with ABR and number of PJs. These findings may be useful for real-world evaluations of the economic burden of haemophilia in the UK.

Keywords: Annual bleed rate; Burden; Cost; Haemophilia; Problem joint; Quality of life.

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Conflict of interest statement

Declarations Ethics approval and consent to participate The CHESS I and CHESS II studies were approved by the Research Ethics Sub Committee of the Faculty of Health and Social care within the University of Chester and conducted in correspondence with regional and relevant guidelines. Patient consent for use of clinical data was not required (as per European Pharmaceutical Market Research Association [EPhMRA] guidelines). Patient consent was obtained via tick box selection for the patient-reported element of the studies. Consent for publication Not applicable. Competing interests This study was sponsored by Pfizer Ltd. TB and EFG are employees of HCD Economics Ltd., which was a paid consultant to Pfizer Ltd. in connection with the development of this manuscript and for study design, data analysis and interpretation. EFG: Speakers’ bureau: Sobi, Roche, Novo Nordisk, BioMarin, CSL Behring; Advisory boards: Sobi, Roche, BioMarin, Pfizer. IW and LR are employees of Pfizer Ltd., the study sponsor. JOH was an employee of HCD Economics Ltd. during the conduct of the study. IW, AC, JB and LR were employees of Pfizer Ltd. during the conduct of this study. JB is currently employed by BioMarin Pharmaceutical Inc. ML was a paid consultant to Pfizer Ltd. in relation to study design and data interpretation for this study and also declares the following: Consultant to AstraZeneca, Silence, Hemab; Research grant support from BioMarin; Speaker fees from Pfizer, Bayer, Takeda, Leo Pharma, Sobi, AstraZeneca, Chugai/Roche; Advisory boards: Takeda, LFB, Roche/Chugai, Sobi, Bayer, Pfizer, CSL Behring, BioMarin. JG was a paid consultant to Pfizer Ltd. in relation to study design and data interpretation for this study and has been a paid consultant to HCD Economics Ltd. in relation to a separate haemophilia study.

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