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Enregistrement W7111673668

Training to Enhance Adaptation and Management for Wheelchair users (TEAM Wheels)

2025· other· W7111673668 sur OpenAlexaboutno aff

Notice bibliographique

RevueOSF Preprints (OSF Preprints) · 2025
Typeother
Langue
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTrainerControl (management)Adaptation (eye)WheelchairData collectionRandomized controlled trialSession (web analytics)Process (computing)Baseline (sea)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This study will use a three-site (Winnipeg, Vancouver, and Quebec City) randomized controlled trial to compare differences in current wheelchair training practice and a 1-month, peer-led (virtual due to SARS-CoV-2; COVID-19) eHealth training program (TEAM Wheels). Subjects will randomly be assigned to the TEAM Wheels or control group using a 1:1 allocation ratio between groups. To support balance between groups and masking of assignment, our statistician will create a computerized randomization process with undisclosed block size. Once subjects are enrolled, baseline data will be collected and entered into a secure database. A site coordinator or assistant will then obtain the participant's group assignment and coordinate the first in-person peer trainer session. For treatment group assignments this will occur as soon as it is practical and for control group assignments this will be scheduled after blinded post-treatment data collection is complete. To address bias, subjects will be instructed not to discuss their program. The treatment group will receive the TEAM Wheels program over a 4-week period. An initial meeting (Session 1) will be arranged via teleconference (MS Teams). The peer trainer is an experienced Manual Wheelchair (MWC) user trained to deliver the TEAM Wheels program. At least 2 peers will be hired and trained at each site to offer multiple trainer attributes. We will intentionally include a male and female, one being at least 50 years of age. Participants will pre-select a peer trainer based on a biosketch to optimize training effect (e.g., preference for age, sex factors); comparability in age has been identified as preferential among older adults and influential to self-efficacy. Following Session 1, participants engage in 4 weeks of training with the eHealth home program. They are instructed to practice for 75 to 150 minutes per week. Consistent with motor learning principles, we encourage training in 15-30 minute blocks 1-2 times per day, 3-5 days per week. The peer trainer will arrange with the participant the remaining two virtual sessions, approximately one week apart. Control Group. The control group receives no specific intervention over the course of the 4-week period. This reflects "usual practice" or the typical experience of a MWC user in their provincial context. Control group participants placed on the wait-list will receive the TEAM Wheels program, as described, following completion of the study (i.e. after post-treatment data collection). The site Research Coordinator will make telephone or email contact with control group participants at the end of weeks 2 and 4 during the study period to deter attrition/drop-out. When contact is made at week 4, the Research Coordinatort will schedule an appointment for post-treatment data collection (week 7). Any formal MWC training received during the wait-list period will be documented for potential post-hoc analysis as a confounding variable; however, research evidence and the investigators' clinical experience confirm that in all 3 provinces formal training is not provided once MWC users are discharged from hospital. Assessments. The outcome measures will be collected at baseline (pre-randomization) and post-intervention. A Research Assistant/Coordinator at each site will contact the participant via MS Teams videoconference at baseline and subsequent data collection points to administer the outcome measures. Participants will be shown a video to help them apply an Actigraph device (i.e. small battery-operated accelerometer) to the participant's wheelchair spokes and after 2 weeks will either retrieve it or provide a self-addressed stamped envelope for the participant to return via post. Post-treatment data will be collected at week 7 to incorporate a 2-week window for consolidation of learning following the 4-week intervention. Follow-up (retention) data will be collected from treatment group participants 6 months later (week 31). Outcome measures. At baseline, descriptive characteristics including age, sex, gender, marital status, the highest level of education, primary diagnoses related to MWC use, Wheel diameter, and length of time using the MWC will be collected. Five outcome measures will be administered at baseline, post-treatment, and 6-month follow-up (for treatment group participants). Wheelchair Skills Test - Questionnaire (WST-Q). To address environmental barriers, MWC users must learn specific mobility skills such as managing inclines, thresholds, and doorways. This is of considerable importance since training also involves learning to recognize risks and limitations. WST-Q evaluates 34 discrete skills; respondents rate their capacity (i.e. ability) with each skill as well as performance frequency. Capacity is rated as Yes (2), Yes with difficulty (1), or No (0); performance is rated as Always (2), Sometimes (1), or Never (0). Total skill Capacity (0-100%) and Performance (0-100%) scores are calculated. The WST has demonstrated excellent reliability for test-retest (ICC=0.90), intra-rater (ICC=0.96), and inter-rater (ICC=0.97) administration. Wheelchair Outcome Measure (WhOM). The rehabilitation literature strongly suggests that intervention outcomes should include not only externally defined measures but also measures of user-identified activities of relevance and perceived satisfaction with performance. A 2008 review of wheelchair-specific outcomes found the WhOM was the only tool that included activities selected and weighted by the user and featured participation in social roles.Two published literature reviews identify the WhOM as the most client-centred and psychometrically robust tool among participation outcomes for wheelchair users. WhOM is administered as a semi-structured interview. Respondents identify 10 activities (5 performed inside and 5 performed outside of the home), rating their satisfaction with performance on an 11-point scale (0-10) for each activity. The WhOM demonstrates good reliability (Test-retest ICC = 0.83-0.88; Inter-rater ICC = 0.90-0.91) and validity (correlations with LIFE-H: rs = 0.3-0.5) in use among individuals with spinal cord injury and older adults (Test-retest ICC = 0.77-1.00; correlation with QUEST rs = 0.36 -0.45). Wheelchair Use Confidence Scale-(WheelCon-SF). Self-efficacy has been identified as a key component in the performance of wheelchair mobility skills. Incorporating the principles of cognitive theory, including self-efficacy, can promote program adherence and skill acquisition. Preliminary research has suggested that standardized training can increase wheelchair confidence among older adults. WheelCon-SF is a self-report questionnaire with 21 statements related to confidence using a wheelchair in various activities and environments. Items are rated on a scale from 0 ("not confident") to 10 ("completely confident"), providing a total mean score (0-10). The WheelCon-SF is more responsive than the original 65-item version; a recent study reported high test-retest reliability (ICC=0.98) and internal consistency (Cronbach's alpha = 0.95). The Short-Form 36 (SF-36) Health Survey Questionnaire is a measure of health status across the following domains: physical function, physical limitations, emotional limitations, pain, social function, energy, perceived health, and mental health. The literature identifies inherent wording bias of the mobility-related SF-36 test items, which presume ambulation as a norm so we opted to use the Enabled version that explicitly acknowledges the use of a mobility aid and replaces the words "climbing" and "walking" with "going". Short Form-36E (Enabled) is specific to the study population of manual wheelchair users and will provide detailed and specific data related to HRQL. Objective Wheelchair Mobility. To triangulate measurement of improvement in mobility and community engagement, accelerometry data (ActigraphTM, Pensacola FL) will be used to objectively measure MWC activation over a 10-day period at baseline, post-treatment, and follow-up data collection points. The Actigraph is attached to a rear wheel on the MWC; a battery provides up to 14 days of passive data collection without impeding MWC operation. Data loggers have demonstrated valid and reliable measurement of MWC movement, with accuracy beyond 90%. A tri-axial accelerometer records acceleration forces during MWC use, downloadable as a .csv file. Algorithms developed by our team convert data into total and mean values of distance, speed, and 'bout' frequency (meaningful transitions between functional activities), parameters that reflect mobility patterns and activity of MWC users which we expect to change as a result of improvements in skill and participation. Program details TEAM Wheels is a 4-week, community-based, tailored program integrating eHealth and peer-led components to optimize learning while limiting the time demands of health care professionals. The eHealth component is a 10" computer tablet with a custom training application. The tablet mounts conveniently on the lap for "in-chair" training, enabling MWC users to learn and practice mobility skills in authentic contexts of home and community. The interactive application includes a structured curriculum with over 200 video clips featuring education, peer demonstration, and training activities. The peer-led component involves experienced MWC users with specialized training who can leverage their own experience and ability to relate as influential peers. The peer trainer conducts 3 virtual/teleconference (MS Teams) sessions with the participant, negotiating individualized goals, introducing wheelchair skills and management strategies, and providing an orientation to the eHealth home program. Peer trainers monitor eHealth training activity, which the tablet uploads to a secure website, intervening or modifying the program when required. Additional communication can be initiated between MWC user and peer trainer using a v

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,038

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,028
Tête enseignante GPT0,294
Écart entre enseignants0,267 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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