Digital Health Programs to Reduce Readmissions in Coronary Artery Disease: A Systematic Review and Meta-Analysis.
cardiac rehabilitation
coronary artery disease
digital health
disease management
health technology
mHealth
Journal
JACC. Advances
ISSN: 2772-963X
Titre abrégé: JACC Adv
Pays: United States
ID NLM: 9918419284106676
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
received:
24
03
2023
revised:
25
05
2023
accepted:
09
06
2023
medline:
28
6
2024
pubmed:
28
6
2024
entrez:
28
6
2024
Statut:
epublish
Résumé
The use of mobile health (mHealth, wireless communication devices, and/or software technologies) in health care delivery has increased rapidly in recent years. Their integration into disease management programs (DMPs) has tremendous potential to improve outcomes for patients with coronary artery disease (CAD), yet a more robust evaluation of the evidence is required. The purpose of this study was to undertake a systematic review and meta-analysis of mHealth-enabled DMPs to determine their effectiveness in reducing readmissions and mortality in patients with CAD. We systematically searched English language studies from January 1, 2007, to August 3, 2021, in multiple databases. Studies comparing mHealth-enabled DMPs with standard DMPs without mHealth were included if they had a minimum 30-day follow-up for at least one of all-cause or cardiovascular-related mortality, readmissions, or major adverse cardiovascular events. Of the 3,411 references from our search, 155 full-text studies were assessed for eligibility, and data were extracted from 18 publications. Pooled findings for all-cause readmissions (10 studies, n = 1,514) and cardiac-related readmissions (9 studies, n = 1,009) indicated that mHealth-enabled DMPs reduced all-cause (RR: 0.68; 95% CI: 0.50-0.91) and cardiac-related hospitalizations (RR: 0.55; 95% CI: 0.44-0.68) and emergency department visits (RR: 0.37; 95% CI: 0.26-0.54) compared to DMPs without mHealth. There was no significant reduction for mortality outcomes (RR: 1.72; 95% CI: 0.64-4.64) or major adverse cardiovascular events (RR: 0.68; 95% CI: 0.40-1.15). DMPs integrated with mHealth should be considered an effective intervention for better outcomes in patients with CAD.
Sections du résumé
Background
UNASSIGNED
The use of mobile health (mHealth, wireless communication devices, and/or software technologies) in health care delivery has increased rapidly in recent years. Their integration into disease management programs (DMPs) has tremendous potential to improve outcomes for patients with coronary artery disease (CAD), yet a more robust evaluation of the evidence is required.
Objectives
UNASSIGNED
The purpose of this study was to undertake a systematic review and meta-analysis of mHealth-enabled DMPs to determine their effectiveness in reducing readmissions and mortality in patients with CAD.
Methods
UNASSIGNED
We systematically searched English language studies from January 1, 2007, to August 3, 2021, in multiple databases. Studies comparing mHealth-enabled DMPs with standard DMPs without mHealth were included if they had a minimum 30-day follow-up for at least one of all-cause or cardiovascular-related mortality, readmissions, or major adverse cardiovascular events.
Results
UNASSIGNED
Of the 3,411 references from our search, 155 full-text studies were assessed for eligibility, and data were extracted from 18 publications. Pooled findings for all-cause readmissions (10 studies, n = 1,514) and cardiac-related readmissions (9 studies, n = 1,009) indicated that mHealth-enabled DMPs reduced all-cause (RR: 0.68; 95% CI: 0.50-0.91) and cardiac-related hospitalizations (RR: 0.55; 95% CI: 0.44-0.68) and emergency department visits (RR: 0.37; 95% CI: 0.26-0.54) compared to DMPs without mHealth. There was no significant reduction for mortality outcomes (RR: 1.72; 95% CI: 0.64-4.64) or major adverse cardiovascular events (RR: 0.68; 95% CI: 0.40-1.15).
Conclusions
UNASSIGNED
DMPs integrated with mHealth should be considered an effective intervention for better outcomes in patients with CAD.
Identifiants
pubmed: 38938339
doi: 10.1016/j.jacadv.2023.100591
pii: S2772-963X(23)00543-4
pmc: PMC11198697
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100591Informations de copyright
© 2023 The Authors.
Déclaration de conflit d'intérêts
Mr Braver has received a postgraduate research scholarship from the University of Melbourne and the Baker Institute. Associate Professor Carrington has received an endowed fellowship in the Cardiology Center of Excellence from Filippo and Maria Casella. Supported in part by 10.13039/501100000925National Health and Medical Research Council (NHMRC) funding for the Center of Research Excellence in Digital Technology to Transform Chronic Disease Outcomes (APP 1170937) awarded to Dr Oldenburg. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.