Executive Summary Australia has a history of innovation, which is reflected in the breadth of health technologies that are increasingly available in the country’s digital health landscape. This breadth of digital health technologies can be categorised across four domains: Software as a Medical De

“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,

This blog has been jointly written by Dr. Phetsavanh Chanthavilay from the Institute of Research and Education Development, University of Health Sciences, Lao PDR, and Mr. Nantasit Luangasanatip from the Mahidol-Oxford Tropical Medicine Research Unit, Thailand. Their participation in this e

Rapeepong Suphanchaimat1,2 Angkana Sommanustweechai1 , Chiraporn Khitdee1 , Chompoonut Thaichinda1 , Kanang Kantamaturapoj3 , Pattara Leelahavarong4 , Pensom Jumriangrit1 , Thitikorn Topothai1 , Thunthita Wisaijohn1 Weerasak Putthasri1 1International Health Policy Program (IHPP), Ministry of Publi

Benjarin Santatiwongchai1, Varit Chantarastapornchit1*, Thomas Wilkinson2, Kittiphong Thiboonboon1, Waranya Rattanavipapong1, Damian G Walker3, Kalipso Chalkidou2, Yot Teerawattananon1 1 Health Intervention and Technology Assessment Program, Nonthaburi, Thailand, 2 NICE International,National Insti

COVID-19 disease models have aided policymakers in low-and middle-income countries (LMICs) with many critical decisions. Many challenges remain surrounding their use, from inappropriate model selection and adoption, inadequate and untimely reporting of evidence, to the lack of iterative stakeholder

Development cannot be contained in a numerical measure of Gross National Product/Gross Domestic Product (GNP/GDP), conceding this the UN gave a universal call to its member nations for the Sustainable Development Goals (SDGs). The SDG 3 explicitly states “ensuring healthy lives and promote well-bein

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

The Health Technology Assessment (HTA), which is a crucial tool for setting health intervention priorities, has been rapidly developing in Asia-Pacific, but is still not fully employed by many countries in policy decision making. Although HTA institutions and networks have been operating successfully in OECD countries and a few of the middle-income