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Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F25%3A00141105" target="_blank" >RIV/00216224:14110/25:00141105 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.jmir.org/2025/1/e57368/authors" target="_blank" >https://www.jmir.org/2025/1/e57368/authors</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2196/57368" target="_blank" >10.2196/57368</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis

  • Original language description

    Background: Psychological distress is recognized as an independent risk factor for cardiovascular diseases (CVDs), contributing to increased morbidity and mortality. While eHealth is increasingly used to deliver psychological interventions, their effectiveness for patients with CVDs remains unclear. Objective: This meta-analysis aimed to evaluate the effects of eHealth psychological interventions for patients with CVDs. Methods: Eligible studies were retrieved from 5 databases (Embase, Medline, PubMed, CINAHL, and Cochrane Library), covering the period from database inception to December 2024. Randomized controlled trials (RCTs) investigating the effect of evidence-based psychological eHealth interventions to improve psychosocial well-being and cardiovascular outcomes for people with CVDs were included. The Cochrane Risk ofBiastool (version 2) was used tojudge the methodological quality ofreviewed studies. RevMan (version 5.3) was used for meta-analysis. Results: A total of 12 RCTs, comprising 2319 participants from 10 countries, were included in the review. The results demonstrated significant alleviation of depressive symptoms for patients receiving psychological eHealth intervention compared to controls (number of paper included in that particular analysis, n=7; standardized mean difference=-0.30, 95% CI-0.47 to-0.14;I2=57%;P&lt;.001). More specifically, in6trials where internet-based cognitive behavioral therapy was delivered, a significant alleviation of depressivesymptoms was achieved (standardized mean difference=-0.39, 95% CI-0.56to-0.21;I2=53%; P&lt;.001). There was no significant change in anxiety or quality of life. Synthesis without meta-analysis regarding stress, adverse events, and cardiovascular events showed inconclusive findings. Conclusions: Psychological eHealth interventions, particularly internet-based cognitive behavioral therapy, can significantly reduce depressive symptoms among patients with CVDs. A multidisciplinary approach is crucial for comprehensively improving psychological and cardiovascular outcomes. Future studiesshould explore integrating persuasive design features into eHealth and involving mental health professionals for intervention delivery. Trial Registration: PROSPERO CRD42023452276; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023452276

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30304 - Public and environmental health

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of medical Internet research

  • ISSN

    1438-8871

  • e-ISSN

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    2025

  • Country of publishing house

    CA - CANADA

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    001470098800008

  • EID of the result in the Scopus database

    2-s2.0-105003037633