PURPOSE:

Value and health technology assessment (V/HTA) bodies have established opportunities for patients and other stakeholders to contribute to assessments. These opportunities have revealed gaps in data and evidence to support patient-centered, “whole health” V/HTA.

To overcome gaps, patient groups, individually or in partnership with V/HTA bodies, have conducted patient surveys to inform reviews, providing information about patient experiences with treatment not collected in clinical trials or claims data, such as indirect costs or caregiver burden. These surveys often represent the best available data, reduce data gaps, and advance V/HTA centered on patients' experiences, perspectives, and needs. However, there is often discordance between the information submitted to health economic modelers and the information collected in patient experience surveys. There can also be a lack of understanding of how survey data impacts model outputs.

This workshop will present a disease-agnostic survey template, highlight the merits of a universal survey template, consider relevance to specific economic modeling decisions, and explore modifications to drive meaningful adoption and use in real-world settings.

DESCRIPTION:

• Kimberly Westrich will moderate the session, engage the audience with interactive polls and feedback opportunities, and frame the policy context through a real-world case example using published reviews in multiple sclerosis.
• Kayleigh Majercak will introduce a disease-agnostic survey template that has been co-developed with the patient community, guided by V/HTA stakeholder input. She will describe the development and testing among people with asthma, multiple sclerosis, and colorectal cancer to inform the standardized, patient-centric template.
• Joe Vandigo will highlight how the template can contribute to V/HTA by quantifying insights on concepts important to patients and can inform the selection of the value elements and structure of the assessments.
• Brett McQueen will discuss the relevance of the survey template in the context of specific modeling decisions and suggest modifications.