Cost-effectiveness analysis of an mHealth intervention to improve hypertension control in patients with elevated cardiovascular risk

Clicks: 16
ID: 333803
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #67 of 87 articles by views in American Journal of Hypertension

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Background This study evaluates the cost-effectiveness of a mobile health technology (mHealth) based care model to facilitate home blood pressure (BP) monitoring and remote hypertension management. Methods We used a Markov microsimulation model to study health and cost outcomes for three hypertension control strategies: an mHealth-based care model (mGlide) vs. Enhanced Usual Care (EUC) vs. No-Intervention. We sampled patient characteristics from the mGlide randomized controlled trial (RCT) and randomly transitioned patients through three possible health states over a 10-year horizon with monthly cycles: 1) No Cardiovascular Event, 2) Cardiovascular Event, and 3) Deceased. We determined transition probabilities from literature, allowing the probabilities to vary by patient characteristics, including BP values. We evaluated health and cost outcomes across a range of plausible deterministic treatment effects (expected BP reductions) supported by the RCT. We performed probabilistic sensitivity analysis to assess cost-effectiveness while randomly varying the treatment effect magnitude. Results The mHealth-based care model was cost-effective compared to No-Intervention and EUC across all deterministic scenarios. 10-year mortality absolute risk reductions ranged from 4.9-5.8% (vs No-Intervention) and 0.6-3.3% (vs EUC) across scenarios. In probabilistic sensitivity analysis, mHealth-based care (vs EUC) was less costly in 59.6% of iterations and had better health outcomes in 99.6%. Comparing all care models, mHealth-based care had the greatest net monetary benefit in 95% of iterations at $26,000/QALY and in 99% of iterations at $72,000/QALY. Conclusions In the current study, we estimated that mHealth-based care models can be cost-effective approaches to improve hypertension control in patients with elevated cardiovascular risk.
Reference Key
openalex_W7223442555 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal American Journal of Hypertension
Year 2026
DOI
10.1093/ajh/hpag127
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.