Vietnam is one of the countries that are on the journey to achieve Universal Health Coverage (UHC). With the Health Insurance Law enacted in 2008, and master plan for UHC approved by the prime minister in 2012, health insurance coverage has been continuously developed both in terms of population and

Background Economic evaluation has been implemented to inform policy in many areas, including coverage decisions, technology pricing, and the development of clinical practice guidelines. However, there are barriers to evidence-based policy in low- and middle-income countries (LMICs) that include li

In Thailand, the prevalence of chronic kidney disease (CKD) is 17.5% of the population (Ingsathit et al., 2010). According to Thailand’s National Health Security Office (2021), in each year, this public health agency spends approximately 10,000 million Baht in renal dialysis and 1,000 million Baht for the CKD treatment and other related expenses.

In Thailand, the prevalence of chronic kidney disease (CKD) is 17.5% of the population (Ingsathit et al., 2010). According to Thailand’s National Health Security Office (2021), in each year, this public health agency spends approximately 10,000 million Baht in renal dialysis and 1,000 million Baht f

“Health donors, policymakers, and practitioners continuously make life-and-death decisions about which type of patients receive what interventions, when, and at what cost. These decisions—as consequential as they are— often result from ad hoc, nontransparent processes driven more by inertia

iDSI aims to help policymakers in low and middle income countries in building capacity for active priority-setting, such that they can spend limited health budgets in a more efficient and equitable way, and achieve sustainable universal health coverage (UHC). In order to help achieve iDSI this aim,

Epidemiological modelling is an important tool to help public health planners understand potential disease outcomes in the population. The recent visibility of models and their perceived influence in the decision-making processes surrounding the response to the COVID-19 pandemic has led to a great d

Multi-criteria decision analysis to prioritize health interventions: Capitalizing on first experiences. Rob Baltussen1, Sitapon Youngkong11,2, Francesco Paolucci3, Louis Niessen4 1 Department of Primary and Community Care, Radboud University Nijmegen Medical Center, The Netherlands 2 Health I

\"First Step”, a program evaluation report, assessing HITAP’s two-year efforts and providing recommendations for further development of HITAP. This program evaluation was conducted by four external evaluators including Prof. John Cairns, Dr. Kalipso Chalkidou, Prof. Paibul Suriyawongpaisal, and Dr. Jirawat Panpiemras. Moreover, Prof. Mark Sculp

Abstract BACKGROUND: Economic evaluation has been implemented to inform policy in many areas, including coverage decisions, technology pricing, and the development of clinical practice guidelines. However, there are barriers to evidence-based policy in low- and middle-income countries (LMICs) th