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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
Rohan Neil Devani1, Arushan Kirubakaran1, Mariam Molokhia1
1Department of Life Sciences and Medicine, King's College London, Great Maze Pond, London, SE1 1UL UK.
Insights
Digital health interventions (DHIs) show inconclusive effects on cardiovascular disease risk scores. Automated email messaging may be effective, but more research is needed due to study heterogeneity and bias concerns.
Area of Science:
- Cardiology
- Digital Health
- Public Health
Background:
- Heart disease is a major cause of mortality in the UK.
- Digital health interventions (DHIs) show potential for reducing cardiovascular risk.
- Recent reviews on DHIs for cardiovascular disease (CVD) risk are lacking.
Purpose of the Study:
- To examine the effect of DHIs on cardiovascular disease (CVD) risk scores in high-risk patients.
- To compare DHIs combined with usual care against usual care alone.
- To identify effective DHI modalities for managing CVD risk.
Main Methods:
- Systematic review and meta-analysis of randomized controlled trials (RCTs) published after 2010.
- Searches conducted in PubMed, Cochrane Database, Medline, and Google Scholar.
- Primary outcome: change in CVD risk score (e.g., QRISK3); risk-of-bias assessed using Cochrane RoB-2 tool.
Main Results:
- Six RCTs involving 1,157 patients in DHI groups and 1,127 in control groups were included.
- Meta-analysis showed an inconclusive overall effect for DHIs (MD -0.76, 95% CI -1.72, 0.20).
- Automated email messaging showed potential effectiveness (MD -1.09, 95% CI -2.15, -0.03), but heterogeneity (I²=66%) and bias concerns were noted.
Conclusions:
- Overall DHIs had an inconclusive effect on cardiovascular disease risk scores.
- Specific DHIs, like automated email messaging, may offer benefits.
- Further research with longer follow-up is needed to clarify the efficacy of specific DHI modalities.
Abstract:
Heart disease is a leading cause of UK mortality. Evidence suggests digital health interventions (DHIs), such as smartphone applications, may reduce cardiovascular risk, but no recent reviews are available. This review examined the effect of DHIs on cardiovascular disease (CVD) risk scores in patients with increased CVD risk, compared to usual care alone. PubMed, Cochrane Database, Medline, and Google Scholar were searched for eligible trials published after 01/01/2010, involving populations with at least one CVD risk factor. Primary outcome was change in CVD risk score (e.g. QRISK3) between baseline and follow-up. Meta-analysis was undertaken using Revman5/STATA using random-effects modelling. Cochrane RoB-2 tool determined risk-of-bias. 6 randomised controlled trials from 36 retrieved articles (16.7%) met inclusion criteria, involving 1,157 patients treated with DHIs alongside usual care, and 1,127 patients offered usual care only (control group). Meta-analysis using random-effects model in STATA showed an inconclusive effect for DHIs as effective compared to usual care (Mean Difference, MD -0.76, 95% CI -1.72, 0.20), with moderate certainty (GRADEpro). Sensitivity analysis by DHI modality suggested automated email messaging was the most effective DHI (MD -1.09, 95% Cl -2.15, -0.03), with moderate certainty (GRADEpro). However, substantial study heterogeneity was noted in main and sensitivity analyses (I2 = 66% and 64% respectively). Quality assessment identified risk-of-bias concerns, particularly for outcome measurement. Findings suggest specific DHIs such as automated email messaging may improve CVD risk outcomes, but were inconclusive for DHIs overall. Further research into specific DHI modalities is required, with longer follow-up.
Supplementary Information:
The online version contains supplementary material available at 10.1007/s12553-022-00651-0.
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