Advancing Digital Health Interventions as a Clinically Applied Science for Blood Pressure Reduction: A Systematic Review and Meta-analysis.


Journal

The Canadian journal of cardiology
ISSN: 1916-7075
Titre abrégé: Can J Cardiol
Pays: England
ID NLM: 8510280

Informations de publication

Date de publication:
05 2020
Historique:
received: 04 07 2019
revised: 24 10 2019
accepted: 10 11 2019
pubmed: 7 4 2020
medline: 16 2 2021
entrez: 7 4 2020
Statut: ppublish

Résumé

Behavioural counselling via internet- or mobile-based digital platforms is recommended for hypertension; however, outcome heterogeneity is problematic in trials of this digital intervention. Our objective was to assess how therapeutic outcome was optimized in digital trials for hypertension, according to key features of the intervention design and protocol. We identified randomized controlled digital trials for systolic blood pressure (SBP) reduction in taskforce guideline and policy statements, systematic reviews, and meta-analyses published since 2010, by searching the EMBASE, Cochrane Library, psycINFO, and PubMed databases. This search was updated to January 2019. Trials included patients with elevated cardiovascular risk or cardiovascular disease. We classified digital trials by the number of components of the intervention, and whether the protocol was organized by an explicit model of behavioural change or counselling. The influence of these features was evaluated for treatment efficacy and heterogeneity of SBP outcomes. Seventeen trials met inclusion criteria: pooled n = 5780, 33% female, 93% taking antihypertensive medications. SBP reduction was -7.3 mm Hg for digital counselling (95% confidence interval: -7.0 to -7.5) vs -3.6 mm Hg for control (95% confidence interval: -3.4 to -3.9), P < 0.0001, with high-moderate heterogeneity (I Digital health interventions optimize the efficacy of medical therapy for SBP reduction. There is opportunity to promote a disruptive change in clinical science that accompanies technological developments in digital health promotion.

Sections du résumé

BACKGROUND
Behavioural counselling via internet- or mobile-based digital platforms is recommended for hypertension; however, outcome heterogeneity is problematic in trials of this digital intervention. Our objective was to assess how therapeutic outcome was optimized in digital trials for hypertension, according to key features of the intervention design and protocol.
METHODS
We identified randomized controlled digital trials for systolic blood pressure (SBP) reduction in taskforce guideline and policy statements, systematic reviews, and meta-analyses published since 2010, by searching the EMBASE, Cochrane Library, psycINFO, and PubMed databases. This search was updated to January 2019. Trials included patients with elevated cardiovascular risk or cardiovascular disease. We classified digital trials by the number of components of the intervention, and whether the protocol was organized by an explicit model of behavioural change or counselling. The influence of these features was evaluated for treatment efficacy and heterogeneity of SBP outcomes.
RESULTS
Seventeen trials met inclusion criteria: pooled n = 5780, 33% female, 93% taking antihypertensive medications. SBP reduction was -7.3 mm Hg for digital counselling (95% confidence interval: -7.0 to -7.5) vs -3.6 mm Hg for control (95% confidence interval: -3.4 to -3.9), P < 0.0001, with high-moderate heterogeneity (I
CONCLUSIONS
Digital health interventions optimize the efficacy of medical therapy for SBP reduction. There is opportunity to promote a disruptive change in clinical science that accompanies technological developments in digital health promotion.

Identifiants

pubmed: 32249065
pii: S0828-282X(19)31434-5
doi: 10.1016/j.cjca.2019.11.010
pii:
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

764-774

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Nicolette Stogios (N)

Cardiac eHealth and Behavioural Cardiology Research Unit, University Health Network (UHN), Toronto, Ontario, Canada; Department of Psychiatry and Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.

Bhagwanpreet Kaur (B)

Cardiac eHealth and Behavioural Cardiology Research Unit, University Health Network (UHN), Toronto, Ontario, Canada.

Ella Huszti (E)

Biostatistics Research Unit, UHN, Toronto, Ontario, Canada.

Jessica Vasanthan (J)

Cardiac eHealth and Behavioural Cardiology Research Unit, University Health Network (UHN), Toronto, Ontario, Canada.

Robert P Nolan (RP)

Cardiac eHealth and Behavioural Cardiology Research Unit, University Health Network (UHN), Toronto, Ontario, Canada; Department of Psychiatry and Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada. Electronic address: rnolan@uhnres.utoronto.ca.

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