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International Regulations and Recommendations for Utility Data for Health Technology Assessment

Author

Listed:
  • Donna Rowen

    (University of Sheffield)

  • Ismail Azzabi Zouraq

    (Takeda Pharmaceuticals International AG)

  • Helene Chevrou-Severac

    (Takeda Pharmaceuticals International AG)

  • Ben Hout

    (University of Sheffield)

Abstract

Recommendations and guidelines for the collection, generation, source and usage of utility data for health technology assessment (HTA) vary across different countries, with no international consensus. Many international agencies generate their own guidelines providing details on their preferred methods for HTA submissions, and there is variability in both what they recommend and the clarity and amount of detail provided in their guidelines. This article provides an overview of international regulations and recommendations for utility data in HTA for a selection of key HTA countries: Australia, Canada, France, Germany, the Netherlands, Spain (Catalonia), Sweden and the UK (England/Wales and Scotland). International guidelines are typically clear and detailed for the selection of countries assessed regarding the source description of health states (e.g. generic preference-based measure) and who should provide preference weights for these health states (e.g. general population for own country). Many guidelines specify the use of off-the-shelf generic preference-based measures, and some further specify a measure, such as EQ-5D. However, international guidelines are either unclear or lack detailed guidance regarding the collection (e.g. patients report own health), source (e.g. clinical trial) and usage (e.g. adjusting for comorbidities) of utility values. It is argued that there is a need for transparent and detailed international guidelines on utility data recommendations to provide decision makers with the best possible evidence. Where this is not possible it is recommended that best practice should be used to inform the collection, source and usage of utility values in HTA.

Suggested Citation

  • Donna Rowen & Ismail Azzabi Zouraq & Helene Chevrou-Severac & Ben Hout, 2017. "International Regulations and Recommendations for Utility Data for Health Technology Assessment," PharmacoEconomics, Springer, vol. 35(1), pages 11-19, December.
  • Handle: RePEc:spr:pharme:v:35:y:2017:i:1:d:10.1007_s40273-017-0544-y
    DOI: 10.1007/s40273-017-0544-y
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    References listed on IDEAS

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    1. Matthijs Versteegh & Saskia Knies & Werner Brouwer, 2016. "From Good to Better: New Dutch Guidelines for Economic Evaluations in Healthcare," PharmacoEconomics, Springer, vol. 34(11), pages 1071-1074, November.
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    Cited by:

    1. Anderson, Michael & Drummond, Michael & Taylor, David & McGuire, Alistair & Carter, Paul & Mossialos, Elias, 2022. "Promoting innovation while controlling cost: The UK's approach to health technology assessment," Health Policy, Elsevier, vol. 126(3), pages 224-233.
    2. Jonathan Karnon, 2017. "Heath State Utility Values for Cost-Effectiveness Models," PharmacoEconomics, Springer, vol. 35(1), pages 1-3, December.
    3. Tonya Moen Hansen & Knut Stavem & Kim Rand, 2023. "Completing the time trade-off with respondents who are older, in poorer health or with an immigrant background in an EQ-5D-5L valuation study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 877-884, August.
    4. Sebastian Himmler & Jannis Stöckel & Job van Exel & Werner B. F. Brouwer, 2021. "The value of health—Empirical issues when estimating the monetary value of a quality‐adjusted life year based on well‐being data," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1849-1870, August.
    5. Richard Huan Xu & Anju Devianee Keetharuth & Ling-ling Wang & Annie Wai-ling Cheung & Eliza Lai-yi Wong, 2022. "Measuring health-related quality of life and well-being: a head-to-head psychometric comparison of the EQ-5D-5L, ReQoL-UI and ICECAP-A," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 165-176, March.
    6. Zoltán Hermann & Márta Péntek & László Gulácsi & Irén Anna Kopcsóné Németh & Zsombor Zrubka, 2022. "Measuring the acceptability of EQ-5D-3L health states for different ages: a new adaptive survey methodology," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1243-1255, September.
    7. Asrul Akmal Shafie & Annushiah Vasan Thakumar, 2020. "Multiplicative modelling of EQ-5D-3L TTO and VAS values," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(9), pages 1411-1420, December.
    8. Eliza Lai Yi Wong & Richard Huan Xu & Annie Wai Ling Cheung, 2020. "Health-related quality of life in elderly people with hypertension and the estimation of minimally important difference using EQ-5D-5L in Hong Kong SAR, China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 869-879, August.
    9. Donna Rowen & John Brazier & Roberta Ara & Ismail Azzabi Zouraq, 2017. "The Role of Condition-Specific Preference-Based Measures in Health Technology Assessment," PharmacoEconomics, Springer, vol. 35(1), pages 33-41, December.
    10. Samer A. Kharroubi & Donna Rowen, 2019. "Valuation of preference-based measures: can existing preference data be used to select a smaller sample of health states?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(2), pages 245-255, March.
    11. Richard Huan Xu & Dong Dong & Nan Luo & Eliza Lai-Yi Wong & Yushan Wu & Siyue Yu & Renchi Yang & Junshuai Liu & Huiqin Yuan & Shuyang Zhang, 2021. "Evaluating the psychometric properties of the EQ-5D-5L and SF-6D among patients with haemophilia," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(4), pages 547-557, June.
    12. Koonal K. Shah & Bryan Bennett & Andrew Lenny & Louise Longworth & John E. Brazier & Mark Oppe & A. Simon Pickard & James W. Shaw, 2021. "Adapting preference-based utility measures to capture the impact of cancer treatment-related symptoms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1301-1309, November.
    13. Sebastian Himmler & Jannis Stöckel & Job van Exel & Werner Brouwer, 2020. "The Value of Health - Empirical Issues when Estimating the Monetary Value of a QALY Based on Well-Being," SOEPpapers on Multidisciplinary Panel Data Research 1101, DIW Berlin, The German Socio-Economic Panel (SOEP).
    14. Hani Dimassi & Soumana C. Nasser & Aline Issa & Sarine S. Adrian & Bassima Hazimeh, 2021. "Health-Related Quality of Life in Patients with Health Conditions in Lebanese Community Setting," IJERPH, MDPI, vol. 18(16), pages 1-12, August.
    15. Richard Norman & Rebecca Mercieca‐Bebber & Donna Rowen & John E. Brazier & David Cella & A. Simon Pickard & Deborah J. Street & Rosalie Viney & Dennis Revicki & Madeleine T. King & On behalf of the Eu, 2019. "U.K. utility weights for the EORTC QLU‐C10D," Health Economics, John Wiley & Sons, Ltd., vol. 28(12), pages 1385-1401, December.
    16. Paul Mark Mitchell & Samantha Husbands & Sarah Byford & Philip Kinghorn & Cara Bailey & Tim J. Peters & Joanna Coast, 2021. "Challenges in developing capability measures for children and young people for use in the economic evaluation of health and care interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 1990-2003, September.

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