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Updated: May 27, 2025

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Published on: September 26, 2018
Cost Savings and Improved Clinical Outcomes From a Mobile Health Cardiovascular Disease Self-Management Program
Walter Roberts1, Helena Lyson1, Clint Speer1
1Hello Heart, Inc, Menlo Park, CA, USA.
Insights
Mobile health (mHealth) programs for cardiovascular disease (CVD) self-management significantly reduce healthcare costs and improve patient blood pressure. Older adults and those with stage 2 hypertension saw the greatest benefits, demonstrating cost-effectiveness.
Area of Science:
- Digital Health
- Cardiovascular Medicine
- Health Economics
Background:
- Cardiovascular disease (CVD) poses a significant burden on healthcare systems globally.
- Effective self-management strategies are crucial for improving patient outcomes and reducing healthcare expenditures.
- Mobile health (mHealth) interventions offer a scalable approach to support chronic disease management.
Purpose of the Study:
- To evaluate the impact of an mHealth CVD self-management program on medical spending, healthcare utilization, and clinical outcomes.
- To assess the cost-effectiveness of digital health tools in managing cardiovascular conditions.
- To identify demographic factors influencing the program's economic and clinical benefits.
Main Methods:
- Retrospective cohort, pre-post observational analysis of medical claims data (February 2018–September 2023).
- Difference-in-differences (DiD) approach comparing mHealth program participants with matched nonparticipants.
- Linear mixed models used to evaluate changes in participant blood pressure.
Main Results:
- mHealth CVD self-management program participation yielded an annualized per member savings of $1709.
- Program participation was linked to reduced inpatient hospital days and increased primary care utilization.
- Significant reductions in blood pressure observed, particularly in participants with stage 2 hypertension at baseline.
Conclusions:
- mHealth CVD self-management programs demonstrate significant cost savings and clinical improvements.
- These digital health interventions are effective and cost-efficient tools for managing CVD.
- Further research is warranted to explore long-term benefits and support broader adoption of mHealth solutions.
Objectives:
This study evaluated the impact of a mobile health (mHealth) cardiovascular disease (CVD) self-management program on medical spending, healthcare utilization, and clinical outcomes.
Methods:
We conducted a retrospective cohort, pre-post observational analysis of medical claims data from February 2018 to September 2023. Participants enrolled in the mHealth CVD self-management program were compared with matched nonparticipants to assess changes in medical spending and utilization, using a difference-in-differences (DiD) approach. Moderation analyses tested whether the effect of participation on medical costs differed according to participants' demographic and employer characteristics. Linear mixed models were also used to evaluate changes in participant blood pressure.
Results:
There were 7112 participants and an equal number of matched nonparticipants from 14 employers included in the cost-savings analysis. Participation in the mHealth CVD self-management program was associated with an annualized per member savings of $1709 as compared with matched nonparticipants. Although savings were consistent across participant sex and employer type, older participants experienced greater savings. Program participation was associated with fewer inpatient hospital days and increased primary care utilization after enrollment. Program participants experienced significant reductions in blood pressure, with the largest reductions seen among those with stage 2 hypertension at baseline.
Conclusions:
Participation in an mHealth CVD self-management program was associated with significant cost savings and clinical improvements across diverse populations, highlighting its effectiveness as a cost-efficient tool for managing CVD and improving health outcomes. Further research is needed to explore the long-term benefits and cost-effectiveness of mHealth programs to support broader adoption.
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