Advanced health biotechnologies in Thailand: redefining policy directions.

BACKGROUND: Thailand faces a significant burden in terms of treating and managing degenerative and chronic diseases. Moreover, incidences of rare diseases are rising. Many of these-such as diabetes, cancer, and inherited inborn metabolic diseases-have no definite treatments or cure. Meanwhile, advanced health biotechnology has been found, in principle, to be an effective solution for these health problems. METHODS: Qualitative approaches were employed to analyse the current situation and examine existing public policies related to advanced health biotechnologies in Thailand. The results of this analysis were then used to formulate policy recommendations. RESULTS: Our research revealed that the system in Thailand in relation to advanced health biotechnologies is fragmented, with multiple unaddressed gaps, underfunding of research and development (R&D), and a lack of incentives for the private sector. In addition, there are no clear definitions of advanced health biotechnologies, and coverage pathways are absent. Meanwhile, false advertising and misinformation are prevalent, with no responsible bodies to actively and effectively provide appropriate information and education (I&E). The establishment of a specialised institution to fill the gaps in this area is warranted. CONCLUSION: The development and implementation of a comprehensive national strategic plan related to advanced health biotechnologies, greater investment in R&D and I&E for all stakeholders, collaboration among agencies, harmonisation of reimbursement across public health schemes, and provision of targeted I&E are specifically recommended.

Lessons drawn from research utilization in the maternal iodine supplementation policy development in Thailand.

In this paper, the authors share their experience on evidence utilization in the development of Thailand's maternal iodine supplementation policy in 2009-2010. Observations and reflections on their experience of engaging with research for policymaking are illustrated. The case study indicates that rapid approaches in conducting research, namely a targeted literature review and cross-sectional survey of professionals' opinions and current practices were efficient in achieving the timeliness of evidence provision. In addition pro-activity, trust and interaction between researchers and policymakers enhanced the research-policy integration. The Thai experience may be useful for other developing countries which pursue evidence-informed policymaking, despite differences in the health system context.

Assessing key model parameters for economic evaluation of pandemic influenza interventions: the data source matters.

BACKGROUND: In our previous systematic review of economic evaluations of pandemic influenza interventions, five model parameters, namely probability of pandemic, duration of pandemic, severity, attack rate, and intervention efficacy, were not only consistently used in all studies but also considered important by authors. OBJECTIVES: Because these parameters originated from sources of varying quality ranging from experimental studies to expert opinion, this study aims to analyze the variation in values used according to sources of information across studies. METHODS: An analysis of estimated values of key parameters for economic modeling was performed against their different data sources, following the standard hierarchy of evidence. RESULTS: A lack of good-quality evidence to estimate pandemic duration, pandemic probability, and mortality reduction from antiviral treatment results in a large variation of values used in economic evaluations. Although there are variations in quality of evidence used for attack rate, basic reproduction number, and reduction in hospitalizations from antiviral treatment, the estimated values do not vary significantly. The use of higher-quality evidence results in better precision of estimated values compared to lower-quality sources. CONCLUSION: Hierarchies of evidence are a necessary tool to identify appropriate model parameters to populate economic evaluations and should be included in methodological guidelines. Knowledge gaps in some key parameters should be addressed, because if good-quality evidence is available, future economic evaluations will be more reliable. Some gaps may not be fulfilled by research but consensus among experts to ensure consistency in the use of these assumptions.

Using health technology assessment for informing coverage decisions in Thailand.

This article aims to illustrate and critically analyze the results from the 1-year experience of using health technology assessment (HTA) in the development of the Thai Universal Coverage health benefit package. We review the relevant documents and give a descriptive analysis of outcomes resulting from the development process in 2009-2010. Out of 30 topics nominated by stakeholders for prioritization, 12 were selected for further assessment. A total of five new interventions were recommended for inclusion in the benefit package based on value for money, budget impact, feasibility and equity reasons. Different stakeholders have diverse interests and capabilities to participate in the process. In conclusion, HTA is helpful for informing coverage decisions for health benefit packages because it enhances the legitimacy of policy decisions by increasing the transparency, inclusiveness and accountability of the process. There is room for improvement of the current use of HTA, including providing technical support for patient representatives and civic groups, better communication between health professionals, and focusing more on health promotion and disease prevention.