Investigating patients' preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China.

ABSTRACT:

Background

Diabetes is a major public health concern with a considerable impact on healthcare expenditures. Deciding on health insurance coverage for new drugs that meet patient needs is a challenge facing policymakers. Our study aimed to assess patients' preferences for public health insurance coverage of new anti-diabetic drugs in China.

Methods

We identified six attributes of new anti-diabetic drugs and used the Bayesian-efficient design to generate choice sets for a discrete choice experiment (DCE). The DCE was conducted in consecutive samples of type 2 diabetes patients in Jiangsu Province. The mixed logit regression model was applied to estimate patient-reported preferences for each attribute. The interaction model was used to investigate preference heterogeneity.

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SUBMITTER: Geng J 

PROVIDER: S-EPMC9533494 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature