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Exploring a Patient-Centered Methodology to Identify Suitable Proxy Conditions as a Source for Utility Data, Using
Alice M Biggane1, Sofia Schiavo2, Rowena Randall1
1Pfizer Ltd, Walton Oaks, Tadworth, England, UK.
Summary
This study introduces a patient-centered method to select proxy health conditions for estimating health-related quality of life (HRQoL) utility values when direct data is unavailable, using alopecia areata (AA) as an example.
Area of Science:
- Health Economics
- Patient-Reported Outcomes
- Dermatology
Background:
- National Institute for Health and Care Excellence (NICE) guidelines recommend using proxy health conditions for utility values when direct EQ-5D data is absent.
- A lack of standardized methods for selecting appropriate proxy conditions necessitates a patient-centered approach.
- Alopecia areata (AA) serves as a case study for developing this novel selection methodology.
Purpose of the Study:
- To present a patient-centered approach for selecting a proxy health condition to estimate utility values.
- To identify a suitable proxy condition for alopecia areata (AA) based on health-related quality of life (HRQoL) similarities.
- To validate the comparability of HRQoL impact between AA and the selected proxy condition.
Main Methods:
- A systematic electronic search identified conceptual models of conditions with overlapping HRQoL domains to AA.
- Conceptual models were compared to identify the proxy condition with the most shared HRQoL domains and patient-reported similarities.
- Utility data for AA and the chosen proxy condition were compared to confirm HRQoL impact comparability.
Main Results:
- Seven conditions with overlapping HRQoL domains with AA were identified.
- Atopic dermatitis (AD) was selected as the proxy condition due to having the most overlapping domains (n=6) and strongest evidence of similar patient HRQoL.
- Conceptual models confirmed shared impacts on physical, emotional, and functional well-being for both AA and AD, with comparable utility values.
Conclusions:
- The developed methodology offers a potential approach for identifying proxy conditions for diseases lacking sufficient HRQoL data.
- The study successfully identified atopic dermatitis (AD) as a comparable proxy for alopecia areata (AA) using a patient-centered framework.
- This approach can aid in more accurate health economic evaluations for underrepresented conditions.
Keywords:
alopecia areataatopic dermatitisconceptual modelshealth-related quality of lifeproxy conditionsutility dataMore Related Videos
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