Optimising the implementation of digital-supported interventions for the secondary prevention of heart disease: a systematic review using the RE-AIM planning and evaluation framework.

Health care Implementation evaluation RE-AIM Secondary prevention Systematic review eHealth mHealth

Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
04 Dec 2023
Historique:
received: 12 10 2023
accepted: 22 11 2023
medline: 6 12 2023
pubmed: 5 12 2023
entrez: 4 12 2023
Statut: epublish

Résumé

mHealth technologies are now widely utilised to support the delivery of secondary prevention programs in heart disease. Interventions with mHealth included have shown a similar efficacy and safety to conventional programs with improvements in access and adherence. However, questions remain regarding the successful wider implementation of digital-supported programs. By applying the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) framework to a systematic review and meta-analysis, this review aims to evaluate the extent to which these programs report on RE-AIM dimensions and associated indicators. This review extends our previous systematic review and meta-analysis that investigated the effectiveness of digital-supported programs for patients with coronary artery disease. Citation searches were performed on the 27 studies of the systematic review to identify linked publications that reported data for RE-AIM dimensions. All included studies and, where relevant, any additional publications, were coded using an adapted RE-AIM extraction tool. Discrepant codes were discussed amongst reviewers to gain consensus. Data were analysed to assess reporting on indicators related to each of the RE-AIM dimensions, and average overall reporting rates for each dimension were calculated. Searches found an additional nine publications. Across 36 publications that were linked to the 27 studies, 24 (89%) of the studies were interventions solely delivered at home. The average reporting rates for RE-AIM dimensions were highest for effectiveness (75%) and reach (67%), followed by adoption (54%), implementation (36%) and maintenance (11%). Eleven (46%) studies did not describe relevant characteristics of their participants or of staff involved in the intervention; most studies did not describe unanticipated consequences of the intervention; the ongoing cost of intervention implementation and maintenance; information on intervention fidelity; long-term follow-up outcomes, or program adaptation in other settings. Through the application of the RE-AIM framework to a systematic review we found most studies failed to report on key indicators. Failing to report these indicators inhibits the ability to address the enablers and barriers required to achieve optimal intervention implementation in wider settings and populations. Future studies should consider alternative hybrid trial designs to enable reporting of implementation indicators to improve the translation of research evidence into routine practice, with special consideration given to the long-term sustainability of program effects as well as corresponding ongoing costs. PROSPERO-CRD42022343030.

Sections du résumé

BACKGROUND BACKGROUND
mHealth technologies are now widely utilised to support the delivery of secondary prevention programs in heart disease. Interventions with mHealth included have shown a similar efficacy and safety to conventional programs with improvements in access and adherence. However, questions remain regarding the successful wider implementation of digital-supported programs. By applying the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) framework to a systematic review and meta-analysis, this review aims to evaluate the extent to which these programs report on RE-AIM dimensions and associated indicators.
METHODS METHODS
This review extends our previous systematic review and meta-analysis that investigated the effectiveness of digital-supported programs for patients with coronary artery disease. Citation searches were performed on the 27 studies of the systematic review to identify linked publications that reported data for RE-AIM dimensions. All included studies and, where relevant, any additional publications, were coded using an adapted RE-AIM extraction tool. Discrepant codes were discussed amongst reviewers to gain consensus. Data were analysed to assess reporting on indicators related to each of the RE-AIM dimensions, and average overall reporting rates for each dimension were calculated.
RESULTS RESULTS
Searches found an additional nine publications. Across 36 publications that were linked to the 27 studies, 24 (89%) of the studies were interventions solely delivered at home. The average reporting rates for RE-AIM dimensions were highest for effectiveness (75%) and reach (67%), followed by adoption (54%), implementation (36%) and maintenance (11%). Eleven (46%) studies did not describe relevant characteristics of their participants or of staff involved in the intervention; most studies did not describe unanticipated consequences of the intervention; the ongoing cost of intervention implementation and maintenance; information on intervention fidelity; long-term follow-up outcomes, or program adaptation in other settings.
CONCLUSIONS CONCLUSIONS
Through the application of the RE-AIM framework to a systematic review we found most studies failed to report on key indicators. Failing to report these indicators inhibits the ability to address the enablers and barriers required to achieve optimal intervention implementation in wider settings and populations. Future studies should consider alternative hybrid trial designs to enable reporting of implementation indicators to improve the translation of research evidence into routine practice, with special consideration given to the long-term sustainability of program effects as well as corresponding ongoing costs.
REGISTRATION BACKGROUND
PROSPERO-CRD42022343030.

Identifiants

pubmed: 38049862
doi: 10.1186/s12913-023-10361-6
pii: 10.1186/s12913-023-10361-6
pmc: PMC10694952
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1347

Informations de copyright

© 2023. The Author(s).

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Auteurs

Caroline de Moel-Mandel (C)

School of Psychology & Public Health, La Trobe University, Melbourne, VIC, Australia.

Chris Lynch (C)

School of Psychology & Public Health, La Trobe University, Melbourne, VIC, Australia. Chris.Lynch@latrobe.edu.au.
Baker Heart and Diabetes Institute, Melbourne, VIC, Australia. Chris.Lynch@latrobe.edu.au.
NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne, VIC, Australia. Chris.Lynch@latrobe.edu.au.
Northern Health, Melbourne, VIC, Australia. Chris.Lynch@latrobe.edu.au.

Ayuba Issaka (A)

Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne, VIC, Australia.

Justin Braver (J)

Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne, VIC, Australia.
Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia.

Georgios Zisis (G)

Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne, VIC, Australia.
Northern Health, Melbourne, VIC, Australia.
Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia.

Melinda J Carrington (MJ)

Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Western Health, Melbourne, VIC, Australia.

Brian Oldenburg (B)

School of Psychology & Public Health, La Trobe University, Melbourne, VIC, Australia.
Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne, VIC, Australia.
Northern Health, Melbourne, VIC, Australia.

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