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Health state utilities for beta-thalassemia: a time trade-off study

Author

Listed:
  • Antony P. Martin

    (Formerly HCD Economics)

  • Enrico Ferri Grazzi

    (HCD Economics)

  • Claudia Mighiu

    (HCD Economics)

  • Manoj Chevli

    (Celgene Ltd, a Bristol-Myers Squibb Company)

  • Farrukh Shah

    (University College London Hospital)

  • Louise Maher

    (Celgene Ltd, a Bristol-Myers Squibb Company)

  • Anum Shaikh

    (Formerly HCD Economics)

  • Aliah Sagar

    (Formerly HCD Economics)

  • Hayley Hubberstey

    (Formerly HCD Economics)

  • Bethany Franks

    (HCD Economics)

  • Juan M. Ramos-Goñi

    (Formerly Axentiva Solutions)

  • Mark Oppe

    (Formerly Axentiva Solutions)

  • Derek Tang

    (Bristol Myers Squibb)

Abstract

Background Beta-thalassemia (BT) is an inherited blood disorder characterized by reduced levels of functional hemoglobin resulting in phenotypes ranging from clinically asymptomatic to severely anemic. Patients with BT may require lifelong regular blood transfusions supported by appropriate iron chelation therapy (ICT). This study aimed to determine how the UK general population values BT health states associated with differing transfusion burden and ICT. Methods Composite time trade-off (cTTO) methodology was employed to elicit health state utilities in BT. Relevant BT literature related to symptom and quality-of-life impact, including physical, functional, and emotional well-being, and safety profiles of BT treatments were considered when drafting health state descriptions. Eleven health state descriptions were developed and validated by hematologists and patient advocates for clinical accuracy and completeness. 200 individuals from the UK general population participated in the cTTO interviews. Results The mean age of participants was 41.50 years (SD 16.01, range 18–81); 88 (46.8%) were female. Utility values ranged from 0.78 (SD 0.34) for non-transfusion dependent BT with oral ICT to 0.37 (SD 0.50) for high transfusion burden with subcutaneous ICT in transfusion-dependent BT. Conclusions This study provides health utilities for a range of BT health states from the UK general population perspective. Importantly, lower transfusion burden and lower burden of anemia were associated with higher utilities. To a lesser extent, differential modes of ICT were found to impact utility valuations in patients with BT. The utilities obtained in this study can be employed as inputs in cost-effectiveness analyses of BT therapies.

Suggested Citation

  • Antony P. Martin & Enrico Ferri Grazzi & Claudia Mighiu & Manoj Chevli & Farrukh Shah & Louise Maher & Anum Shaikh & Aliah Sagar & Hayley Hubberstey & Bethany Franks & Juan M. Ramos-Goñi & Mark Oppe &, 2023. "Health state utilities for beta-thalassemia: a time trade-off study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 27-38, February.
  • Handle: RePEc:spr:eujhec:v:24:y:2023:i:1:d:10.1007_s10198-022-01449-7
    DOI: 10.1007/s10198-022-01449-7
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    References listed on IDEAS

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    1. Nancy J. Devlin & Aki Tsuchiya & Ken Buckingham & Carl Tilling, 2011. "A uniform time trade off method for states better and worse than dead: feasibility study of the ‘lead time’ approach," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 348-361, March.
    2. Angela Robinson & Anne Spencer, 2006. "Exploring challenges to TTO utilities: valuing states worse than dead," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 393-402, April.
    3. Samantha Husbands & Susan Jowett & Pelham Barton & Joanna Coast, 2017. "How Qualitative Methods Can be Used to Inform Model Development," PharmacoEconomics, Springer, vol. 35(6), pages 607-612, June.
    4. Mark Oppe & Kim Rand-Hendriksen & Koonal Shah & Juan M. Ramos‐Goñi & Nan Luo, 2016. "EuroQol Protocols for Time Trade-Off Valuation of Health Outcomes," PharmacoEconomics, Springer, vol. 34(10), pages 993-1004, October.
    5. Bas Janssen & Mark Oppe & Matthijs Versteegh & Elly Stolk, 2013. "Introducing the composite time trade-off: a test of feasibility and face validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 5-13, July.
    6. Eliza L. Y. Wong & Juan Manuel Ramos-Goñi & Annie W. L. Cheung & Amy Y. K. Wong & Oliver Rivero-Arias, 2018. "Assessing the Use of a Feedback Module to Model EQ-5D-5L Health States Values in Hong Kong," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(2), pages 235-247, April.
    7. Arthur Attema & Yvette Edelaar-Peeters & Matthijs Versteegh & Elly Stolk, 2013. "Time trade-off: one methodology, different methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 53-64, July.
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    More about this item

    Keywords

    Beta-thalassemia; Hemoglobin; Anemia; Time trade-off; Transfusion burden;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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