Digital Health Interventions for Adults with Acquired Brain Injury and Their Close Others: Implementation, Scalability, and Sustainability in the COVID-19 Context.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
22 Jun 2023
Historique:
medline: 26 6 2023
pubmed: 22 6 2023
entrez: 22 6 2023
Statut: ppublish

Résumé

The Social Brain Toolkit is a novel suite of web-based interventions to support people with acquired brain injury and their close others with communication difficulties post-injury. The aim of this study was to investigate potential impacts of the Toolkit's wider political, economic, regulatory, professional, and sociocultural context on its implementation, scalability, and sustainability. Nine people with academic, healthcare or industry experience implementing digital health interventions prior to and during COVID-19 were individually interviewed. Data were deductively analysed according to the Non-adoption, Abandonment, Scaleup, Spread and Sustainability framework, with a focus on the domain of the 'Wider system'. Results indicated that COVID-19 facilitated a pivot to virtual care models which was timely for the implementation of the Social Brain Toolkit; political and economic changes were entwined; and risk management, data compliance and governance were key considerations for healthcare professionals and organisations.

Identifiants

pubmed: 37347578
pii: SHTI230379
doi: 10.3233/SHTI230379
doi:

Types de publication

Journal Article

Langues

eng

Pagination

96-100

Auteurs

Melissa Miao (M)

University of Technology Sydney, Sydney, Australia.

Deborah Debono (D)

University of Technology Sydney, Sydney, Australia.

Emma Power (E)

University of Technology Sydney, Sydney, Australia.

Rachael Rietdijk (R)

The University of Sydney, Sydney, Australia.

Melissa Brunner (M)

The University of Sydney, Sydney, Australia.

Leanne Togher (L)

The University of Sydney, Sydney, Australia.

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Classifications MeSH