Investigating patients' preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China
- PMID: 36199056
- PMCID: PMC9533494
- DOI: 10.1186/s12889-022-14244-z
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.
Results: Data from 639 patients were available for analysis. On average, the most valued attribute was the improvement in health-related quality of life (HRQoL) (β = 1.383, p < 0.001), followed by positive effects on extending life years (β = 0.787, p < 0.001), and well-controlled glycated haemoglobin (β = 0.724, p < 0.001). The out-of-pocket cost was a negative predictor of their preferences (β = -0.138, p < 0.001). Elderly patients showed stronger preferences for drugs with a lower incidence of serious side effects (p < 0.01) and less out-of-pocket costs (p < 0.01). Patients with diabetes complications favored more in the length of extended life (p < 0.01), improvement in HRQoL (p < 0.05), and less out-of-pocket costs (p < 0.001).
Conclusion: The new anti-diabetic drugs with significant clinical effectiveness and long-term health benefits should become the priority for public health insurance. The findings also highlight the value of accounting for preference heterogeneity in insurance policy-making.
Keywords: Anti-diabetic drug; Discrete choice experiment; Health insurance; Patients’ preferences.
© 2022. The Author(s).
Conflict of interest statement
The authors declare that they have no competing interests.
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