Cargando…

Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis

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 patien...

Descripción completa

Detalles Bibliográficos
Autores principales: Devani, Rohan Neil, Kirubakaran, Arushan, Molokhia, Mariam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947848/
https://www.ncbi.nlm.nih.gov/pubmed/35350665
http://dx.doi.org/10.1007/s12553-022-00651-0
_version_ 1784674534802063360
author Devani, Rohan Neil
Kirubakaran, Arushan
Molokhia, Mariam
author_facet Devani, Rohan Neil
Kirubakaran, Arushan
Molokhia, Mariam
author_sort Devani, Rohan Neil
collection PubMed
description 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 (I(2) = 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.
format Online
Article
Text
id pubmed-8947848
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-89478482022-03-25 Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis Devani, Rohan Neil Kirubakaran, Arushan Molokhia, Mariam Health Technol (Berl) Review Paper 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 (I(2) = 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. Springer Berlin Heidelberg 2022-03-25 2022 /pmc/articles/PMC8947848/ /pubmed/35350665 http://dx.doi.org/10.1007/s12553-022-00651-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Paper
Devani, Rohan Neil
Kirubakaran, Arushan
Molokhia, Mariam
Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
title Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
title_full Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
title_fullStr Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
title_full_unstemmed Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
title_short Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
title_sort digital health rct interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
topic Review Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947848/
https://www.ncbi.nlm.nih.gov/pubmed/35350665
http://dx.doi.org/10.1007/s12553-022-00651-0
work_keys_str_mv AT devanirohanneil digitalhealthrctinterventionsforcardiovasculardiseaseriskreductionasystematicreviewandmetaanalysis
AT kirubakaranarushan digitalhealthrctinterventionsforcardiovasculardiseaseriskreductionasystematicreviewandmetaanalysis
AT molokhiamariam digitalhealthrctinterventionsforcardiovasculardiseaseriskreductionasystematicreviewandmetaanalysis