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Enregistrement W2928511663 · doi:10.1177/2325967119s00126

USING AN INTEGRATED KNOWLEDGE TRANSLATION APPROACH TO INFORM THE DEVELOPMENT AND EVALUATION OF ACTIVE & SAFE CENTRAL: AN ON-LINE PLATFORM OF EVIDENCE-BASED SPORT AND RECREATIONAL INJURY INFORMATION

2019· article· en· W2928511663 sur OpenAlexaffabout
Sarah A. Richmond, Samantha Bruin, Amanda M. Black, Ian Pike, Shelina Babul

Notice bibliographique

RevueOrthopaedic Journal of Sports Medicine · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueInjury Epidemiology and Prevention
Établissements canadiensUniversity of CalgarySpinal Cord Injury BCBC Children's HospitalPublic Health Ontario
Organismes subventionnairesnon disponible
Mots-clésKnowledge translationFocus groupFacilitatorMedicineRecreationPsychological interventionNonprobability samplingAthletesData collectionPoison controlMedical educationMedical emergencyKnowledge managementNursingPhysical therapyComputer sciencePsychologyEnvironmental healthPopulation

Résumé

récupéré en direct d'OpenAlex

Background: Sport and recreational injuries place a significant burden on the health care system and represent a large proportion of all injuries that report to emergency departments in Canada. An initiative to address this significant burden was to develop of an on-line platform providing information on the incidence of injury, risk factors, and effective interventions to reduce the risk of injury in over 51 sport and recreational activities. The information was collected by systematic review of the evidence which was critically appraised, synthesized and translated into an on-line platform, called Active and Safe Central. The objective of this project was to use an integrated knowledge translation approach to develop and evaluate the Active and Safe Central on-line tool. Methods: A mixed-methods design was used to develop and evaluate the Active and Safe Central Tool. Data was collected using a two-phased focus group format as well as an on-line survey, embedded in the on-line tool. Participants were recruited using purposive sampling and included a variety of stakeholders including parents, athletes, coaches, athletic therapists, injury prevention researchers and practitioners from local sport organizations. Focus groups were designed to be 60-minutes in duration and used a semi-structured format, led by a trained facilitator, to collect specific information on the design, use and information contained in the tool. The focus groups were both audio and visually recorded, with one project team member taking notes to supplement data collection. The on-line feedback form was created in consultation with experts in evaluation from the digital team as well as injury prevention researchers. The first focus group, at the build and mock-up phase collected information on: A) participants’ previous experiences with injury prevention resources and B) feedback on the proposed design, perceived usefulness and suggestions for the tool on use and content. The second focus group collected information on the interactivity of the tool, including live navigation with the beta version of the digital platform. Participants provided feedback on the functionality, visual appeal and usefulness of the site. Information from the focus groups and on-line feedback forms was synthesized and used to inform the design and reimaging of the Active and Safe Central tool during build, mock-up, beta and live versions. Results: Information collected from focus group participants was used to inform necessary changes in the on-line platform including critical navigation issues, visualizations, and interactivity. Initial post-launch results from the focus group (n=14) and from the on-line survey (n=87) suggest that the tool is a helpful resource for sport and recreational injury information (88.5% agreement). The majority of users agreed that the tool was easy to use (89.6%), that they learned something new after using the site (89.6%) and that they would use the recommendations presented in the prevention section of the site. Finally, 86.2% responded affirmatively to share the information gathered on the site, with others in their community. Conclusions: The Active and Safe Central resource was developed using an integrated knowledge translation approach with evaluation indices embedded throughout the process. Information collected through focus groups was critical in the initial development and subsequent iterations of the on-line tool. Initial evaluation results suggest the tool is an effective resource for sport and recreational injury information that has significant potential to impact prevention practice.

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)0,130
score de la tête « metaresearch » (Gemma)0,192
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,130
Score d'incertitude au seuil0,689

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1300,192
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0060,006
Études des sciences et des technologies0,0030,003
Communication savante0,0090,007
Science ouverte0,0030,011
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,278
Tête enseignante GPT0,415
Écart entre enseignants0,137 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2019
Routes d'admission2
Résumé présentoui

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