| Literature DB >> 32166908 |
Yi-Ru Shih1, Kai-Hsin Liao1,2, Yen-Hui Chen1,3,2, Fang-Ju Lin1,3,2, Fei-Yuan Hsiao1,3,2.
Abstract
Drug lag - delayed approval or reimbursement - is a major barrier to accessing cutting-edge drugs. Unlike approval lag, reimbursement lag is under-researched. We investigated the key determinants of reimbursement lag under Taiwan National Health Insurance (NHI), and compared this lag to those in the United Kingdom (UK), Canada, Australia, Japan, and South Korea. Using retrospective data on 190 new NHI-reimbursed drugs from 2007-2014, we studied reimbursement lag in Taiwan versus other countries, and investigated associated factors using generalized linear models (GLM). The median reimbursement lags during before ("first-generation") and after ("second-generation") NHI drug reimbursement scheme was re-organized in Taiwan were 378 and 458 days, respectively. The "first-generation" lag was shorter only than that in South Korea, while the "second-generation" lag only exceeded those of the UK and Japan. In GLM models, higher drug expenditure and the introduction of the "second-generation" NHI were two statistically significant parameters associated with reimbursement lag among antineoplastic and immunomodulating agents. For other drug classes, the reimbursement price proposed by pharmaceutical companies and use of price-volume agreements were two statistically significant parameters associated with longer reimbursement lags. The current reimbursement lag in Taiwan is longer than one year, but only longer than those of the UK and Japan. The determinants differ between drug categories. A specific review process for antineoplastic and immunomodulating drugs may expedite reimbursement. There is a clear need for systematic data collection and analysis to ascertain factors associated with reimbursement lag and thereby inform future policy-making. This article is protected by copyright. All rights reserved.Entities:
Keywords: National Health Insurance system; Taiwan; lag; new drug; reimbursement
Year: 2020 PMID: 32166908 DOI: 10.1111/cts.12778
Source DB: PubMed Journal: Clin Transl Sci ISSN: 1752-8054 Impact factor: 4.689