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Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China
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 cov...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533494/ https://www.ncbi.nlm.nih.gov/pubmed/36199056 http://dx.doi.org/10.1186/s12889-022-14244-z |
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author | Geng, Jinsong Bao, Haini Feng, Zhe Meng, Jingyi Yu, Xiaolan Yu, Hao |
author_facet | Geng, Jinsong Bao, Haini Feng, Zhe Meng, Jingyi Yu, Xiaolan Yu, Hao |
author_sort | Geng, Jinsong |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14244-z. |
format | Online Article Text |
id | pubmed-9533494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95334942022-10-06 Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China Geng, Jinsong Bao, Haini Feng, Zhe Meng, Jingyi Yu, Xiaolan Yu, Hao BMC Public Health Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14244-z. BioMed Central 2022-10-05 /pmc/articles/PMC9533494/ /pubmed/36199056 http://dx.doi.org/10.1186/s12889-022-14244-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Geng, Jinsong Bao, Haini Feng, Zhe Meng, Jingyi Yu, Xiaolan Yu, Hao Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China |
title | Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China |
title_full | Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China |
title_fullStr | Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China |
title_full_unstemmed | Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China |
title_short | Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China |
title_sort | investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533494/ https://www.ncbi.nlm.nih.gov/pubmed/36199056 http://dx.doi.org/10.1186/s12889-022-14244-z |
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