A pilot exploration of staff and service-user perceptions of a novel digital health technology (Virtual Engagement Rehabilitation Assistant) in complex inpatient rehabilitation.

Digital health technology co-design implementation qualitative rehabilitation

Journal

Disability and rehabilitation. Assistive technology
ISSN: 1748-3115
Titre abrégé: Disabil Rehabil Assist Technol
Pays: England
ID NLM: 101255937

Informations de publication

Date de publication:
14 May 2024
Historique:
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 14 5 2024
Statut: aheadofprint

Résumé

Digital health technologies have the potential to advance rehabilitation. The Virtual Engagement Rehabilitation Assistant (VERA) is a digital technology, co-designed to increase service-user engagement and promote self-management. This qualitative study explored staff and service-user perceptions of implementing VERA on a UK complex inpatient rehabilitation ward. Purposively sampled service-users were allocated to VERA for up to six weeks. The Non-adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) framework underpinned service-user post-intervention interviews and staff focus groups, and structured analysis of the data. Seven service-users were interviewed. Nine staff contributed to focus groups. A framework analysis identified themes (and subthemes) structured by the NASSS framework domains: 1. Nature of Clinical Condition, 2. Technology (Ease of Use, Holding Information/Resources in a single Digital Location, Appointments), 3. Value Proposition (Structuring Time, Feedback, Unexpected Benefits) 4. Adopters (Confidence in using Technology, Usefulness), 5. Wider Organisation. Ease of use and storage of key information in a single location were beneficial. Reliability, and provision of accurate and timely feedback to staff and service-users, were identified as essential. A blended approach is required to meet staff and service-user needs. The potential for VERA in a community setting was identified and requires further investigation. Learning from VERA will support development of other digital technologies and their implementation. Digital health technologies have the potential to positively impact rehabilitation but may not be suitable for all service-users.Digital health technologies for rehabilitation must be easy to use and reliable.Relevant and informative feedback from the digital health technology was considered essential by both staff and service-users.Utilising a theoretical framework that focuses on key components of implementation was instrumental for development and evaluation of Virtual Engagement Rehabilitation Assistant (VERA).

Autres résumés

Type: plain-language-summary (eng)
Digital health technologies have the potential to positively impact rehabilitation but may not be suitable for all service-users.Digital health technologies for rehabilitation must be easy to use and reliable.Relevant and informative feedback from the digital health technology was considered essential by both staff and service-users.Utilising a theoretical framework that focuses on key components of implementation was instrumental for development and evaluation of Virtual Engagement Rehabilitation Assistant (VERA).

Identifiants

pubmed: 38743465
doi: 10.1080/17483107.2024.2351499
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-11

Auteurs

Kathryn Jarvis (K)

Stroke Research Team, University of Central Lancashire (UCLan), Preston, UK.

Julie Cook (J)

Applied Health Research Hub, University of Central Lancashire (UCLan), Preston, UK.

Ganesh Bavikatte (G)

The Walton Centre NHS Foundation Trust, Liverpool, UK.

Nicola Branscombe (N)

The Walton Centre NHS Foundation Trust, Liverpool, UK.

Steve Donovan (S)

Citrus Suite, Liverpool, UK.

Jo Haworth (J)

The Walton Centre NHS Foundation Trust, Liverpool, UK.

Charlotte Lawrence (C)

The Walton Centre NHS Foundation Trust, Liverpool, UK.

Chris Morland (C)

Citrus Suite, Liverpool, UK.

Rachel C Stockley (RC)

Stroke Research Team, University of Central Lancashire (UCLan), Preston, UK.

Classifications MeSH