Modeling the economic value of cardiometabolic virtual-first care programs.

Area of Science:

• Cardiovascular Health
• Metabolic Diseases
• Health Economics
• Digital Health

Background:

• Cardiometabolic chronic conditions pose significant health and economic burdens.
• Virtual-first care (V1C) models are emerging as a novel approach to managing these conditions.
• Understanding the long-term benefits of V1C programs is crucial for healthcare planning.

Purpose of the Study:

• To simulate the multiyear health and economic benefits of four distinct cardiometabolic V1C programs.
• To estimate the reduction in disease sequelae and associated healthcare cost savings.
• To assess the impact of program engagement on health and economic outcomes.

Main Methods:

• A microsimulation approach was employed using nationally available data.
• Propensity matching was used to compare V1C program members with a national cohort (NHANES 2012-2020).
• Model inputs included V1C-attributed clinical outcome changes and baseline biometric data.

Main Results:

• Sustained improvements in weight, HbA1c, and blood pressure reduced disease sequelae incidence by 2%-10% over 5 years.
• Estimated gross medical savings ranged from $892-$1342 after 1 year, accumulating to $5221-$7756 after 5 years.
• Higher program engagement correlated with greater health and economic benefits.

Conclusions:

• Cardiometabolic V1C programs demonstrate substantial potential for long-term health and financial advantages.
• These virtual care models offer a promising strategy for the prevention and management of chronic cardiometabolic diseases.
• The findings underscore the value of V1C in improving patient outcomes and reducing healthcare expenditures.