Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jun 24:12:690021.
doi: 10.3389/fphar.2021.690021. eCollection 2021.

Patient and Payer Preferences for Additional Value Criteria

Affiliations

Patient and Payer Preferences for Additional Value Criteria

Ivett Jakab et al. Front Pharmacol. .

Abstract

Background: Defining the value of healthcare is an elusive target, and depends heavily on the decision context and stakeholders involved. Cost-utility analysis and the quality-adjusted life year (QALY) have become the method and value definition of choice for traditional value judgements in coverage and pricing decisions. Other criteria that may influence value are often not measured and therefore omitted from value assessments, or are only used to qualitatively contextualize assessments. The objective of this study was to engage two key stakeholders; patients and payers to elicit and rank the importance of additional value criteria, potentially assessed in Multiple Criteria Decision Analysis (MCDA). Methods: This study consisted of a focus group with cancer patients (n = 7), including follow-up questions through an electronic survey, and in-depth phone interviews with payers (n = 5). Results: For payers, value equated either with criteria that provided tangible benefits (from their perspective) such as new treatment options that respond to serious unmet need. For patients, population-level value equated to options that would potentially benefit them in the future and the value of hope. However, these criteria were seen by payers as difficult to measure and incorporate into objective decision making. Limitations: The findings from this study are primarily limited due to generalizability. Due to the small sample size, it was outside the scope of this study to calculate a weight for each criterion that could be used as part of a quantitative MCDA. Conclusion: MCDA, with particular attention to qualitative aspects, is an avenue to incorporate these additional criteria into value assessments, as well as provide an opportunity for reflecting the patient's preferences in assessing the value of a treatment.

Keywords: Multiple Criteria Decision Analysis; health technology assessement; patient; payer; value.

PubMed Disclaimer

Conflict of interest statement

Author SR was employed by the company Real Endpoints, LLC. Author IJ and ZK were employed by Syreon Research Institute. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Structure of the research phases and aims.
FIGURE 2
FIGURE 2
Extracted value criteria from United States value frameworks and the list of proposed Additional Value Criteria after the iterative phase. Institute for Clinical and Economic Review (ICER); International Society for Pharmacoeconomics and Outcomes Research (ISPOR) now known as The Professional Society for Health Economics and Outcomes Research; Memorial Sloan Kettering Cancer Center (MSKCC). *Value criteria deem by the research team as traditionally (not necessarily systematically) assessed are bolded and underlined.

References

    1. Addario B. J., Fadich A., Fox J., Krebs L., Maskens D., Oliver K., et al. (2018). Patient Value: Perspectives from the Advocacy Community. Health Expect. 21 (1), 57–63. 10.1111/hex.12628 - DOI - PMC - PubMed
    1. Angelis A., Kanavos P. (2017). Multiple Criteria Decision Analysis (MCDA) for Evaluating New Medicines in Health Technology Assessment and beyond: The Advance Value Framework. Soc. Sci. Med. 188, 137–156. 10.1016/j.socscimed.2017.06.024 - DOI - PubMed
    1. Antioch K. M., Drummond M. F., Niessen L. W., Vondeling H. (2017). International Lessons in New Methods for Grading and Integrating Cost Effectiveness Evidence into Clinical Practice Guidelines. Cost Eff. Resour. Alloc 15, 1. 10.1186/s12962-017-0063-x - DOI - PMC - PubMed
    1. Baltussen R., Marsh K., Thokala P., Diaby V., Castro H., Cleemput I., et al. (2019). Multicriteria Decision Analysis to Support Health Technology Assessment Agencies: Benefits, Limitations, and the Way Forward. Value in Health 22 (11), 1283–1288. 10.1016/j.jval.2019.06.014 - DOI - PubMed
    1. Diaby V., Ali A. A., Montero A. J. (2019). Value Assessment Frameworks in the United States: A Call for Patient Engagement. PharmacoEconomics Open 3 (1), 1–3. 10.1007/s41669-018-0094-z - DOI - PMC - PubMed

LinkOut - more resources