Using Patient Preferences in Health Technology Assessment: Evaluating Quality-Adjusted Survival Equivalents (QASE) for the Quantification of Non-health Benefits
Kevin Marsh (),
Hannah Collacott,
Jim Thomson,
Jonathan Mauer,
Stephen Watt,
Koonal Shah,
Brett Hauber,
Louis Garrison and
Mendwas Dzingina
Additional contact information
Kevin Marsh: Evidera
Hannah Collacott: Evidera
Jim Thomson: ViiV Healthcare
Jonathan Mauer: Pfizer
Stephen Watt: Pfizer
Koonal Shah: National Institute for Health and Care Excellence
Brett Hauber: Pfizer
Louis Garrison: University of Washington
Mendwas Dzingina: Pfizer
The Patient: Patient-Centered Outcomes Research, 2024, vol. 17, issue 3, No 3, 229-237
Abstract:
Abstract Interest in using patient preference (PP) data alongside traditional economic models in health technology assessment (HTA) is growing, including using PP data to quantify non-health benefits. However, this is limited by a lack of standardised methods. In this article, we describe a method for using discrete choice experiment (DCE) data to estimate the value of non-health benefits in terms of quality-adjusted survival equivalence (QASE), which is consistent with the concept of value prevalent among HTA agencies. We describe how PP data can be used to estimate QASE, assess the ability to test the face-validity of QASE estimates of changes in mode of administration calculated from five published DCE oncology studies and review the methodological and normative considerations associated with using QASE to support HTA. We conclude that QASE may have some methodological advantages over alternative methods, but this requires DCEs to estimate second-order effects between length and quality of life. In addition, empirical work has yet to be undertaken to substantiate this advantage and demonstrate the validity of QASE. Further work is also required to align QASE with normative objectives of HTA agencies. Estimating QASE would also have implications for the conduct of DCEs, including standardising and defining more clear attribute definitions.
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s40271-024-00676-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:patien:v:17:y:2024:i:3:d:10.1007_s40271-024-00676-9
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40271
DOI: 10.1007/s40271-024-00676-9
Access Statistics for this article
The Patient: Patient-Centered Outcomes Research is currently edited by Christopher I. Carswell
More articles in The Patient: Patient-Centered Outcomes Research from Springer, International Academy of Health Preference Research
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().