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Evaluation of implementation of patient involvement in Taiwan’s pharmaceutical reimbursement decision-making process

Published online by Cambridge University Press:  29 July 2025

Yi-Ling Tsai
Affiliation:
Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei City, Taiwan Health Outcomes and Technology Teaching and Education Alliance, Taipei City, Taiwan
Wen-Wen Yang
Affiliation:
Data Science Center, Fu Jen Catholic University , New Taipei City, Taiwan Health Outcomes and Technology Teaching and Education Alliance, Taipei City, Taiwan
Grace Hui-Min Wu
Affiliation:
Department of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei City, Taiwan Health Outcomes and Technology Teaching and Education Alliance, Taipei City, Taiwan
Shih-Chang Lin
Affiliation:
School of Health Care Administration, Taipei Medical University , Taipei City, Taiwan
Chao-Hsiun Tang
Affiliation:
School of Health Care Administration, Taipei Medical University , Taipei City, Taiwan Health Outcomes and Technology Teaching and Education Alliance, Taipei City, Taiwan
Raoh-Fang Pwu*
Affiliation:
Data Science Center, Fu Jen Catholic University , New Taipei City, Taiwan School of Health Care Administration, Taipei Medical University , Taipei City, Taiwan Health Outcomes and Technology Teaching and Education Alliance, Taipei City, Taiwan
*
Corresponding author: Raoh-Fang Pwu; Email: jasminepwu@gmail.com
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Abstract

Objectives

Patient involvement enhances transparency, legitimacy, and responsiveness in pharmaceutical reimbursement decisions. Guided by the mosaic model, this study recognizes effective patient engagement requires diverse context-specific approaches. Despite Taiwan’s National Health Insurance Administration (NHIA) implementing policies, gaps remain between intent and practice. This study evaluates NHIA’s incorporation of patient inputs into reimbursement decisions and examines factors influencing involvement.

Methods

We analyzed pharmaceutical company-initiated reimbursement submissions for catastrophic illnesses reviewed by the Pharmaceutical Benefit and Reimbursement Scheme Joint Committee (PBRS) from 2016 to 2023. Data sources included PBRS meeting records, the Online Patient Opinion Platform (OPOP), and NHIA notification E-mails. Generalized linear models identified predictors of patient involvement. The association between patient involvement and PBRS decisions was also explored.

Results

Patient involvement occurred in 28.4 percent (80/282) of all submissions, increasing from 17 percent (2016) to 44 percent (2023). Despite aligning with OPOP criteria, patient involvement remained incomplete. Discussion-type submissions, oncology drugs, and new drug applications showed higher involvement, whereas autoimmune diseases and new indication submissions had lower involvement. Budget impact and innovation categories were not significant predictors in adjusted models. The presence of patient involvement was not significantly associated with the PBRS approval rate. Ad hoc analysis revealed increased involvement for new indications following policy expansion.

Conclusions

Despite NHIA’s efforts, patient involvement implementation remains suboptimal. Structured mechanisms and expanded patient involvement beyond high-profile submissions and PBRS are crucial to broaden patient involvement. This study provides practical insights for East Asian healthcare systems advancing patient involvement amid limited empirical research.

Information

Type
Assessment
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Table 1. Submission characteristics and rationales of study inclusion

Figure 1

Figure 1. Trends in patient involvement implementation in Taiwan’s pharmaceutical reimbursement process.

Figure 2

Table 2. Characteristics of the investigated submissions

Figure 3

Figure 2. Forest plot of relative risk estimates from simple and multiple GLMs. GLM: generalized linear model.

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