Strategic Synthesis, Health Policy Implications, and Implementation Gaps
The economic viability of remote cardiac rehabilitation hinges upon its capacity to produce meaningful health gains while curtailing acute resource consumption. Decision-analytic frameworks and Markov modeling demonstrate that digitally enabled programs yield incremental quality-adjusted life years well within standard willingness-to-pay thresholds [8]. These economic advantages stem primarily from superior completion rates relative to center-based options, where geographic isolation and logistical hurdles consistently depress adherence [6]. When patients sustain programmatic engagement, downstream benefits materialize through improved functional capacity and lower secondary event frequencies, justifying initial investments in remote monitoring platforms. Nonetheless, critical disparities in evidence synthesis remain unaddressed across contemporary literature. Health economic evaluations vary widely regarding perspective, with private insurer evaluations frequently capturing immediate claims reductions while public provider analyses bear upfront platform deployment expenditures [6], [8]. Furthermore, evidence indicates that virtual delivery models may not uniformly lower overall emergency presentation frequencies in rural cohorts unless reinforced by structured clinical oversight and hybrid support pathways [6]. Expanding digital programs without considering demographic diversity and technological readiness risks reinforcing existing healthcare disparities [1]. Methodological limitations in current trials further obscure long-term budget impact forecasts. Most evaluations rely on relatively short modeling time horizons and literature-derived utility weights rather than extended real-world observational datasets [1], [8]. To establish definitive economic superiority, future investigations must integrate standardized cost-accounting standards, multi-year longitudinal tracking, and transparent subgroup analyses across diverse clinical risk strata.