Maksat Jumamyradov, PhD
Novel Methods to Overcome Underrepresentation in Preference-Based Value Assessment
Abstract
Preference-based value assessment usually fails to capture the voices of underrepresented or small populations. Consequently, underrepresented populations may face negative effects from this uncertainty, further exacerbating disparities in healthcare access and outcomes. A key methodological challenge in preference-based value assessment is how to elicit more preference evidence with fewer respondents, allowing for smaller samples. More preference evidence per respondent also implies greater precision and less cost to identify preference heterogeneity. The objective of this application is to elicit the preferences of underrepresented populations for type 2 diabetes mellitus (T2DM) treatments by using two novel methods that are well-suited for small samples, kaizen tasks and multidimensional thresholding.
PhF awardees (from left) Tim Lai, Surachat Ngorsuraches, and Maksat Jumamyradov of Auburn University
I am grateful to the PhRMA Foundation for recognizing my work and enabling me to pursue my passion for patient health preference research. I am hopeful that my independent research will make a meaningful contribution to advancing preference-based value assessment.