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Estimating health state utility from activities of daily living in the French National Hospital Discharge Database: a feasibility study with head and neck cancer

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  • Michaël Schwarzinger

    (IAME (UMR_S_1137 / U1137) - Infection, Anti-microbiens, Modélisation, Evolution - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - Université Sorbonne Paris Nord)

  • Stéphane Luchini

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Sylvain Baillot
  • Mélina Bec
  • Lynda Benmahammed
  • Caroline Even
  • Lionnel Geoffrois
  • Florence Huguet
  • Béatrice Le Vu
  • Laurie Lévy-Bachelot
  • Yoann Pointreau
  • Camille Robert
  • Luis Sagaon-Teyssier
  • Antoine Schernberg
  • Stéphane Temam

Abstract

Background : Health state utility (HSU) is a core component of QALYs and cost-effectiveness analysis, although HSU is rarely estimated among a representative sample of patients. We explored the feasibility of assessing HSU in head and neck cancer from the French National Hospital Discharge database. Methods: An exhaustive sample of 53,258 incident adult patients with a first diagnosis of head and neck cancer was identified in 2010–2012. We used a cross-sectional approach to define five health states over two periods: three "cancer stages at initial treatment" (early, locally advanced or metastatic stage); a "relapse state" and otherwise a "relapse-free state" in the follow-up of patients initially treated at early or locally advanced stage. In patients admitted in post-acute care, a two-parameter graded response model (Item Response Theory) was estimated from all 144,012 records of six Activities of Daily Living (ADLs) and the latent health state scale underlying ADLs was calibrated with the French EQ-5D-3 L social value set. Following linear interpolation between all assessments of the patient, daily estimates of utility in post-acute care were averaged by health state, patient and month of follow-up. Finally, HSU was estimated by health state and month of follow-up for the whole patient population after controlling for survivorship and selection in post-acute care. Results: Head and neck cancer was generally associated with poor HSU estimates in a real-life setting. As compared to "distant metastasis at initial treatment", mean HSU was higher in other health states, although numerical differences were small (0.45 versus around 0.54). It was primarily explained by the negative effects on HSU of an older age (38.4% aged ≥70 years in "early stage at initial treatment") and comorbidities (> 50% in other health states). HSU estimates significantly improved over time in the "relapse-free state" (from 8 to 12 months of follow-up). Conclusions: HSU estimates in head and neck cancer were primarily driven by age at diagnosis, comorbidities, and time to assessment of cancer survivors. This feasibility study highlights the potential of estimating HSU within and across severe conditions in a systematic way at the national level.

Suggested Citation

  • Michaël Schwarzinger & Stéphane Luchini & Sylvain Baillot & Mélina Bec & Lynda Benmahammed & Caroline Even & Lionnel Geoffrois & Florence Huguet & Béatrice Le Vu & Laurie Lévy-Bachelot & Yoann Pointre, 2019. "Estimating health state utility from activities of daily living in the French National Hospital Discharge Database: a feasibility study with head and neck cancer," Post-Print hal-02270971, HAL.
  • Handle: RePEc:hal:journl:hal-02270971
    DOI: 10.1186/s12955-019-1195-9
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-02270971
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    References listed on IDEAS

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    1. Mir-Masoud Pourrahmat & Ashley Kim & Anuraag R. Kansal & Marg Hux & Divya Pushkarna & Mir Sohail Fazeli & Karen C. Chung, 2021. "Health state utility values by cancer stage: a systematic literature review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1275-1288, November.

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