Evidence map›Paper›PMID 40791700›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Understanding digital health technology implementation in rehabilitation: Development of the Rehabilitation Technologies Implementation model.

R C Stockley, H Gooch, K Jarvis, C Watkins

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

R C StockleyStroke Research Team, School of Nursing and Midwifery, University of Lancashire, UK. PR1 2HE.ORCID 0000-0003-4441-6860
H GoochStroke Research Team, School of Nursing and Midwifery, University of Lancashire, UK. PR1 2HE.
K JarvisStroke Research Team, School of Nursing and Midwifery, University of Lancashire, UK. PR1 2HE.
C WatkinsStroke Research Team, School of Nursing and Midwifery, University of Lancashire, UK. PR1 2HE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Technologies comprise a broad range of applications with the potential to transform outcomes for the millions of people requiring rehabilitation each year. Despite this potential, many technologies are not successfully implemented into clinical practice. No single consistent approach or model is used to support their implementation into any form of rehabilitation. This study aimed to understand the influences upon rehabilitation technology implementation in the UK's National Health Service and, using this understanding, develop a comprehensive implementation model to support the adoption of rehabilitation technologies. Methods: A multi-methodological approach comprising qualitative enquiry and literature reviews was used to identify, analyse and group key factors that influenced rehabilitation technology implementation. Findings: Seven themes, identified from qualitative enquiry of 48 participants, representing 8 stakeholder groups in the UK, were integrated with published technology and implementation models to generate five key domains that comprise Rehabilitation Technology Implementation Model (RiTe). These domains were: evidence, technology, users, team and organisation. Interpretation: The RiTe model provides a novel and comprehensive understanding of the key factors that influence rehabilitation technology implementation and can be used to plan, support and evaluate implementation efforts. The demands of rehabilitation require repeated, frequent and prolonged participation in interventions by users with variable needs, which means that barriers and facilitators are likely to exert a magnified effect upon the process and success of implementation. Consequently, the key influencers of rehabilitation technology implementation identified in this study provide a critical opportunity to understand factors which could influence technology uptake in other clinical specialties, attesting to the value of the RiTe model to both rehabilitation and wider healthcare.

Identifiers

PMID40791700
PMCPMC12338886

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.