Priority Setting for Innovation in the Health System (PRISM) ถูกพัฒนาขึ้นเพื่อจัดลำดับความสำคัญของโรคที่สร้างภาระมากที่สุดต่อทั้งประชาชนและระบบหลักประกันสุขภาพ โดยพิจารณาจากภาระโรค (burden of disease) และภาระงบประมาณ (expenditure burden) เพื่อชี้ให้เห็นจุดวิกฤตในระบบสุขภาพ อันนำไปสู่การพัฒนานวัตกรรมให้ตอบโจทย์ และส่งเสริมการตัดสินใจเชิงนโยบายอย่างมีประสิทธิภาพ
As COVID-19 spreads worldwide, national (and sub-national) governments and development partners are making use of a rapidly growing body of evidence to develop policies mitigating against this devastating pandemic. Mathematical models and computational simulation models play a unique role to inform resource planning and policy development (among other uses) through scenario analysis and short-term forecasting. Already in the first six months of this outbreak, we have seen many models at the sub-national, national, regional and global level being developed at an impressive speed.
This report includes an in-depth discussion of factors and variables that affect unit costs, including labor (the most prominent), fixed costs, and potential contribution to epidemic control (e.g. achievement of targets). Key factors impacting input costs include staffing number and type, and capital costs, output costs vary based on factors including number and type of activities, innovations, and capacity to achieve targets. However, assessment of technical efficiency by model and site posed challenges. Assessed sites provide different activities along the services cascade depending on KP group, geographical location, and other contextual factors. This variation also makes it difficult to determine specific drivers of unit costs. In addition, differenced in number and type of program inputs and outputs for activities result in variations in unit costs.