Evidence map›Paper›PMID 37185191›Full record

ArticleBMJ open2023

Digital technologies for motor rehabilitation in children: protocol for a cross-sectional European survey.

Christelle Pons, Sylvain Brochard, Anca Grigoriu, Christopher J Newman, Elegast Monbaliu, Johanne Mensah-Gourmel, Delphine Gaudin-Drouelle, Anis Toumi, Marco Konings, Javier de la Cruz

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05176522 (Motor REHAbilitation TEChnologies for CHIldren With Disability), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.4field-weighted citation impact, top 5% of its field
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.

NCT05176522 unknown statusnot on this map

Motor REHAbilitation TEChnologies for CHIldren With Disability

TypeobservationalSponsorUniversity Hospital, BrestRan2021 to 2022Enrolled1,000ConditionsChildren With Disabilities, Motor Rehabilitation, Technologies
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 5 countries.

Christelle PonsLaboratory of Medical Information Processing, INSERM UMR 1101, Brest, France christelle.pons@chu-brest.fr.ORCID 0000-0003-3924-6035
Sylvain BrochardLaboratory of Medical Information Processing, INSERM UMR 1101, Brest, France.
Anca GrigoriuNational Center of Neurorehabilitation for Children "Dr.N.Robanescu", Bucharest, Romania.
Christopher J NewmanPaediatric Neurology and Neurorehabilitation Unit, University Hospital of Lausanne, Lausanne, Switzerland.
Elegast MonbaliuNeurorehabilitation Technology Lab, KU Leuven Bruges, Bruges, Belgium.
Johanne Mensah-GourmelLaboratory of Medical Information Processing, INSERM UMR 1101, Brest, France.
Delphine Gaudin-DrouelleLaboratory of Medical Information Processing, INSERM UMR 1101, Brest, France.
Anis ToumiPediatric rehabilitation department, Fondation Ildys, Brest, France.
Marco KoningsNeurorehabilitation Technology Lab, KU Leuven Bruges, Bruges, Belgium.
Javier de la CruzInstituto de Investigación Sanitaria imas12, Hospital Universitario 12 de Octubre, Madrid, Spain.
Inserm · FRKU Leuven · BEFondation FondaMental · FRHospital Universitario 12 De Octubre · ESUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital technologies can be used as part of paediatric motor rehabilitation to remediate impairment, promote recovery and improve function. However, the uptake of digital technologies in this clinical field may be limited.The aim of this study is to describe and explain digital technology use for paediatric motor rehabilitation. The specific objectives will be: (1) to describe the access to, acceptance of and use of digital technologies as a function of individual factors related to professionals practicing motor rehabilitation with children, and of environmental factors related to paediatric rehabilitation practice and (2) to explain digital technology use with a causal model based on the 'unified theory of acceptance and use of technology'. METHODS AND ANALYSIS: RehaTech4child (Rehabilitation Technologies For children) is a cross-sectional study involving an online survey, that is sponsored by the European Academy of Childhood Disability (EACD). The survey protocol follows the Strengthening the Reporting of Observational Studies in Epidemiology and CHERRIES (Checklist for Reporting Results of Internet E-Surveys) guidelines. The survey includes 43 questions about (1) respondents' individual and environmental characteristics; (2) the ease of access to digital technologies, and the frequency, type and purpose of use of those technologies and (3) acceptance of technologies and barriers to their use. The survey is intended for professionals involved in paediatric motor rehabilitation. It is disseminated across Europe by the EACD network in 20 languages. Participation is anonymous and voluntary. We aim to include 500 respondents to ensure sufficient precision for the description of study outcomes and to perform stratified analyses by the main determinants. ETHICS AND DISSEMINATION: Ethics approval was waived by the Brest CHRU Institutional Review Board. The study is conducted according to current French legislation (loi Jardé (n°2012-300)) and the survey is GDPR compliant. Study findings will be presented at national and international meetings and submitted for publication in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: NCT05176522.

Indexed as

Digital TechnologyTechnologyChildCross-Sectional StudiesEuropeHumansObservational Studies as TopicInformation technologyPAEDIATRICSREHABILITATION MEDICINE

Identifiers

PMID37185191
PMCPMC10151983
OpenAlexW4366983467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.