The Impact of Digital Health on Hospitalization and Mortality in Heart Failure Patients in Low-and-Middle Income Countries (LMICs): A Systematic Review & Meta-Analysis
Clicks: 6
ID: 321882
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.
Reader Engagement
Steady Performance
1.5
/100
6 views
2 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #1 of 55 articles by views in European Heart Journal - Digital Health
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate 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 Heart disease is the leading cause of death worldwide, and the growing prevalence of heart failure (HF) is a key contributor. Digital health (dHealth) modalities including mobile applications, telehealth, and wearables have been developed to improve HF care, though little is known about their impact in LMICs. Objective The aim of this review is to identify studies from LMICs that evaluated dhealth interventions for HF and determine the impact of those interventions on hospitalization and mortality. Methods Six databases were searched from January 1, 1990, to June 11, 2025. A total of 3,524 articles were screened (Cohen’s κ=69%). Included studies had a dHealth intervention, were a randomized controlled trial (RCT), occurred in a LMIC, and reported outcomes of interest. Risk of bias for RCTs was assessed using the Cochrane risk-of bias tool (RoB 2). Results Fifteen RCTs (N=4,568) with studies in Brazil (33.3%), China (26.7%), and Thailand (13.3%) were included. Interventions included telemonitoring, mobile apps, and wearables. The population averaged 61.1 years, 31.4% female, and 45.7% NYHA class III–IV. Random-effects meta-analysis showed dHealth reduced all-cause hospitalizations (RR 0.73, 95% CI 0.59–0.90), HF hospitalizations (RR 0.70, 95% CI 0.59–0.84), and all-cause mortality (RR 0.86, 95% CI 0.79–1.00); HF mortality was neutral (RR 0.64, 95% CI 0.37–1.11). Conclusions dHealth in LMICs lowers hospitalizations and may reduce all-cause mortality, though the benefit for HF mortality remains uncertain. These findings support broader dHealth adoption in LMICs to address HF burden.
| Reference Key |
openalex_W7170085492
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Preston N. Nicely, Emily Eichstaedt, Charles Heald, Jack Simmons, Shiv Ishpujani, Stephen Clarkson |
| Journal | European Heart Journal - Digital Health |
| Year | 2026 |
| DOI |
10.1093/ehjdh/ztag117
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.