ArticleNPJ digital medicine2026
Understanding digital health technology implementation in rehabilitation and development of the Rehabilitation Technologies Implementation model.
Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Virtual reality in neurorehabilitation for musculoskeletal disorders: a bibliometric analysis from 2010 to 2025.Frontiers in neurology · 2026Pooled it
- Trial
- Nurses' Engagement in Digital Health Clinical Trials Using Unobtrusive Monitoring Technologies: Constructivist Grounded Theory Study.Journal of medical Internet research · 2026Article
Corrections and comments
- Update of
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. 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. A multi-methodological approach comprising qualitative enquiry and literature reviews was used to identify, analyse and group key factors that influenced rehabilitation technology implementation. Five key domains comprising Rehabilitation Technology Implementation Model (RiTe) were produced. These domains were: evidence, technology, users, team and organisation. The RiTe model is the first to elucidate the factors that influence implementation of digital rehabilitation technologies into clinical practice and can be used to plan, support and evaluate implementation efforts in rehabilitation, it also provides an opportunity to understand factors which could influence technology uptake in wider healthcare.
Identifiers
What OpenQuestion holds
Registered trials
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.