Cost-effectiveness of mobile health-based integrated care for atrial fibrillation: Model development and data analysis (Preprint)
BACKGROUND Mobile health (mhealth) technology is increasingly used in disease management. Using mhealth tools to integrate and streamline care was found to improve atrial fibrillation (AF) patients’ clinical outcomes. OBJECTIVE This study aimed to investigate the potential clinical and health economic outcomes of mhealth-based integrated care for AF from the perspective of a public healthcare provider in China. METHODS A Markov model was designed to compare outcomes of mhealth-based care and usual care in a hypothetical cohort of AF patients in China. The time horizon was 30 years with monthly cycles. Model outcomes measured were direct medical cost, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). Sensitivity analyses were conducted to examine the robustness of base-case results. RESULTS In the base-case analysis, mhealth-based care gained higher QALYs of 0.0818 with an incurred cost of USD1,778. Using USD33,438 per QALY (three times gross domestic product) as the willingness-to-pay threshold, mhealth-based care was cost-effective, with an ICER of USD21,739 per QALY. The one-way sensitivity analysis found compliance to mhealth-based care had the greatest impact on the ICER. In probabilistic sensitivity analysis, mhealth-based care was accepted as cost-effective in 80.91% of 10,000 iterations. CONCLUSIONS This study suggested that the use of mhealth technology in streamlining and integrating care for AF patients was cost-effective in China.