Cost-effectiveness of Interventions to Control Cardiovascular Diseases and Diabetes in Low- and Middle- Income Countries
Cost-effectiveness of Interventions to Control Cardiovascular Diseases and Diabetes in Low- and Middle- Income Countries
Tuesday, January 28, 202012:00 PM - 1:30 PM (Pacific)
Encina Hall, Third Floor, Central, C330
616 Jane Stanford Way, Stanford, CA 94305
More than 80% of cardiovascular diseases (CVD) and diabetes mellitus (DM) burden now lies in low and middle-income countries. Thus, there is an urgent need to identify and implement the most cost-effective interventions, particularly in the resource-constraint South Asian settings. A 2018 systematic review evaluated the cost-effectiveness of individual-level, group-level and population-level interventions to control CVD and DM in South Asia. Of the 2949 identified studies through a search of 14 electronic databases up to 2016, 42 met full inclusion criteria. Critical appraisal of studies revealed 15 excellent, 18 good and 9 poor quality studies. Most studies were from India (n=37), followed by Bangladesh (n=3), Pakistan (n=2) and Bhutan (n=1). The economic evaluations were based on observational studies (n=9), randomised trials (n=12) and decision models (n=21). Together, these studies evaluated 301 policy or clinical interventions or combination of both. We found a large number of interventions were cost-effective aimed at primordial prevention (tobacco taxation, salt reduction legislation, food labelling and food advertising regulation), and primary and secondary prevention (multidrug therapy for CVD in high-risk group, lifestyle modification and metformin treatment for diabetes prevention, and screening for diabetes complications every 2–5 years). Significant heterogeneity in analytical framework and outcome measures used in these studies restricted meta-analysis and direct ranking of the interventions by their degree of cost-effectiveness. The cost-effectiveness evidence for CVD and DM interventions in South Asia is growing, but most evidence is from India and limited to decision modelled outcomes. There is an urgent need for formal health technology assessment and policy evaluations in South Asia and other low- and middle- income countries using local research data.