Stakeholders’ Views on Patient Access Schemes in Malaysia

Thanimalai, Subramaniam; Choon, Wai Yee; Lee, Kenneth Kwing-Chin

doi:10.1016/j.vhri.2022.02.003

Cited by 1 publication

(6 citation statements)

References 16 publications

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“…From the manufacturer’s perspective, they believed that the payer is not sharing much information and is not keen to implement PAS. The payer also does not provide feedback on how to improve the scheme (Thanimalai et al , 2022).…”

Section: Discussionmentioning

confidence: 99%

“…In Malaysia, the Ministry of Health (MOH) staff feel that the implementation of PAS is challenging and leading to an additional burden for them (Thanimalai et al , 2022). This is common across countries implementing MEAs in their negotiation structure.…”

Section: Administrative Burdenmentioning

confidence: 99%

“…This is also possibly the reason for a higher number of drugs using simple financial agreements rather than the complex financial agreement in Malaysian PAS, because of the higher administrative burden required for complex financial agreement. In the study, MOH staff also suggested that the implementation of PAS is managed by a separate team consisting of experts with knowledge in finance, legal and technical expertise (Thanimalai et al , 2022).…”

Section: Administrative Burdenmentioning

confidence: 99%

“…The current PAS system is limited in that; it does not provide a mechanism for payback for unsuccessful treatment (Thanimalai et al , 2022). Italy used several payback mechanisms for unsuccessful treatment.…”

Section: Data Infrastructurementioning

confidence: 99%

“…In Malaysia, to understand and explore the stakeholders’ perspectives toward PAS, Thanimalai et al conducted a study using online survey and semi-structured interview involved spanning from the government staff, pharmaceutical manufacturers and patient advocacy group. Three major themes were identified from the study, namely, the high upfront cost, the need to identify treatment requirement and the readiness of the health system to implement PAS (Thanimalai et al , 2022). In this study, we aimed to explore further the challenges outlined under the theme, “Readiness of the health system to implement PAS” such as the trust issue, payment mechanism and data infrastructure.…”

Section: Introductionmentioning

confidence: 99%

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Improving Patient Access Scheme in Malaysia: lessons from Italy

Ashraf

Ong

2023

IJPHM

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Purpose Medicine prices are increasing globally, including in Malaysia where previous studies show prices higher than international averages. Patient Access Scheme (PAS) is a mechanism adopted by Malaysia in 2018 to facilitate access to expensive medicines, similarly used by Italy since 2005. This study aims to compare the implementation of PAS in Malaysia and Italy. Design/methodology/approach This review systematically searched for peer-reviewed articles in PubMed, Scopus and ScienceDirect on how Italy implemented PAS system from 2012 to 2022 using the related keywords. The systematic review is reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Findings The search identified 363 articles. A total of eight studies were included. Most of the studies found that PAS is able to control the expenditure on expensive drugs. PAS has also had several challenges, such as high administrative burden, high upfront cost and the need for good data infrastructure. Originality/value This study’s unique focus on Italy’s adoption of managed entry agreements (MEA) can provide valuable insights for Malaysia’s pricing mechanisms and access to expensive drugs. Notably, this research addresses a gap in the literature regarding the practical implications of MEA implementation in developing countries. The findings have the potential to improve access to essential medicines for Malaysian citizens while offering a fresh perspective on MEA utilization in emerging markets.

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Section: Discussionmentioning

confidence: 99%

Section: Administrative Burdenmentioning

confidence: 99%

Section: Administrative Burdenmentioning

confidence: 99%

Section: Data Infrastructurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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