Ehealth interventions

Ehealth interventions has been studied in 4 papers since 2023: 1 trial in people, 3 reviews; 2 in the past year. The newest paper, Oct 26, 2026: “Effects of an AI-powered eHealth intervention on physical capacity and self-management in coronary artery disease: the TIMELY multicenter RCT”.

Intervention

4 papers study it8 findingsUpdated

1 new paper in 30 daysSee all 4 papers on ehealth interventions

At a glance

Independent labs found the same change in people. 3 independent labs in 7 countries.

“Intention-to-treat analysis revealed no significant between-group differences for primary outcomes including biomarker-based risk assessment.”
Effects of an AI-powered eHealth intervention on physical capacity and self-management in coronary artery disease: the TIMELY multicenter RCTESC Congress 2026 abstract2026doi:10.1093/eurheartj/ehag785.4395

None of its findings points the other way.

Humans: replicated by independent labs. Cells, worms or flies and mice: nothing yet.
  • 3 independent labs in 7 countries
  • 4 of 8 findings with company ties
  • Human trial1

Studies in people

1 study gave ehealth interventions to people and measured what changed.

What changedDesignPeopleSource

no change: Has no effect on mortality risk

up: Improves 6-Minute Walk Testapproximately 7% superior, IG=567.5±90.3 m vs. CG=529.6±111.7 m, p<0.05

up: Improves physical fitnessIG=144.5±39.6 W vs. CG=130.9±44.0 W at 6 mo; IG=141.9±45.2 W vs. CG=130.3±45.2 W at 12 mo; p=0.027

Randomized trial6 months360 peopleBoth60.5±9.2 yearsMidlife adults; Older adults; intention-to-treat analysisESC Congress 2026 abstract, Oct 26, 2026

What did studies of ehealth interventions find?

7

Studies of ehealth interventions measured 7 outcomes; the most studied are physical activity (2 studies), medication adherence (1) and physical fitness (1).

Physical activity

upin humans2

2 studies
  1. Ehealth interventions improve physical activity in humans (SMD = 0.22, 95% CI: 0.13 to 0.31).

    “eHealth interventions produced a small positive effect on physical activity (standardized mean difference = 0.22, 95% confidence interval: 0.13 to 0.31).”

    Review

    Behaviour change techniques in eHealth interventions for older, frail, or sarcopenic adults: A systematic review and meta-analysis

    Digital health

  2. Ehealth interventions increase physical activity in humans (SMD 0.25, 95% CI 0.09-0.41).

    “objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002)”

    Review

    Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis

    Journal of medical Internet research

Medication adherence

upin humans1

1 study
  1. Ehealth interventions improve medication adherence in humans (p=0.0071).

    “Medication adherence (MARS-5 score) remained significantly higher in the IG at 12 months (interaction, p=0.0071).”

    Human trial12 months

    Effects of an AI-powered eHealth intervention on physical capacity and self-management in coronary artery disease: the TIMELY multicenter RCT

    ESC Congress 2026 abstract

Physical fitness

upin humans1

1 study
  1. Ehealth interventions improve physical fitness in humans (IG=144.5±39.6 W vs. CG=130.9±44.0 W at 6 mo; IG=141.9±45.2 W vs. CG=130.3±45.2 W at 12 mo; p=0.027).

    “The IG also exhibited greater improvements in physical fitness (time×group interaction, p=0.027), with higher values at 6 months (IG=144.5±39.6 W vs. CG=130.9±44.0 W) and 12 months”

    Human trial12 months

    Effects of an AI-powered eHealth intervention on physical capacity and self-management in coronary artery disease: the TIMELY multicenter RCT

    ESC Congress 2026 abstract

6-Minute Walk Test

upin humans1

1 study
  1. Ehealth interventions improve 6-Minute Walk Test in humans (per-protocol analysis) (approximately 7% superior, IG=567.5±90.3 m vs. CG=529.6±111.7 m, p<0.05).

    “per-protocol analysis demonstrated that the IG maintained approximately 7% superior 6MWT performance over 12 months (IG=567.5±90.3 m vs. CG=529.6±111.7 m; p<0.05).”

    Human trialper-protocol analysis12 months

    Effects of an AI-powered eHealth intervention on physical capacity and self-management in coronary artery disease: the TIMELY multicenter RCT

    ESC Congress 2026 abstract

Mortality risk

no changein humans1

1 study
  1. Ehealth interventions showed no clear effect on mortality risk in humans (intention-to-treat analysis).

    “Intention-to-treat analysis revealed no significant between-group differences for primary outcomes including biomarker-based risk assessment.”

    Human trialintention-to-treat analysis6 months

    Effects of an AI-powered eHealth intervention on physical capacity and self-management in coronary artery disease: the TIMELY multicenter RCT

    ESC Congress 2026 abstract

More on Mortality risk

Fruit intake

upin humans1

1 study
  1. Ehealth interventions increase fruit intake in humans (SMD 0.18, 95% CI 0.04-0.32).

    “fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01)”

    Review

    Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis

    Journal of medical Internet research

Smoking cessation

upin humans1OR 2.09

1 study
  1. Ehealth interventions increase smoking cessation in humans (OR 2.09, 95% CI 1.62-2.70).

    “eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001)”

    Review

    Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis

    Journal of medical Internet research

Latest

Dec 2025: 0Jan 2026: 0Feb 2026: 0Mar 2026: 0Apr 2026: 0May 2026: 0Jun 2026: 0Jul 2026: 1Aug 2026: 0Sep 2026: 0Oct 2026: 1Nov 2026: 02 papers in 12 months