The Development and Evaluation of an Innovative Knowledge Translation Tool about Pediatric Concussion
Notice bibliographique
Résumé
Background: Pediatric concussion is a common, yet complex injury caused by a direct or indirect blow to the head. Pediatric concussion places considerable burdens on children, families, and the healthcare system. To minimize this burden, it is essential that patients and families are connected to evidence-based child health information. Despite the plethora of educational resources available about pediatric concussion, uncertainty in how to manage them prevails, particularly among families, and knowing which resources are relevant and accurate is often unclear. This suggests an urgent need for evidence-based strategies that align what is known from research with what is done in health care practice, referred to as knowledge translation strategies. Actively involving patients and families in health care has the potential to optimize knowledge translation. Research indicates that patients and families look for health information online, thus; digital knowledge translation tools are a promising approach to provide complex, child health information. Purpose: The purpose of this dissertation is to understand the information needs and preferences of children who have experienced a concussion and their parents and use these data to develop and evaluate a novel, innovative knowledge translation tool about pediatric concussion. Methods: This dissertation is a multi-phase, multi-method project consisting of four phases and three related papers: (1) an environmental scan to identify and describe Canadian-developed, publicly available Internet resources and Apps about pediatric concussion, (2) a qualitative description study on the experiences, information needs and preferences of children who have experienced a concussion and their parents, and (3) the development and evaluation of a novel, digital knowledge translation tool (interactive infographic) about pediatric concussion. Findings and Conclusions: This dissertation addressed current knowledge gaps in pediatric concussion education tools and actively involved children and parents in the development and evaluation of a digital knowledge translation (KT) tool about pediatric concussion. Results of this research have widespread applications in three key areas. First, the current state of Canadian-developed resources for pediatric concussion found on the Internet and in Apps is described. In paper one, an environmental scan of 600 websites and 200 Apps was conducted. Sixty-seven resources (64 Internet, 3 Apps) met the inclusion criteria. Information gaps in relation to the content, format and target audience of these resources was identified. Most significantly, this scan determined that few resources targeted children and were most commonly available in PDF format. Recommendations for the future development of pediatric concussion resources are provided. Second, this research informed the development of a novel, digital knowledge translation tool (an interactive infographic), about pediatric concussion through integrated knowledge translation methods. In paper two, a qualitative description study interviewing children who have had a concussion, and their parents, was conducted. Four major themes were identified from these interviews: 1) mechanism of injury and concussion symptoms experienced by children, 2) parent concerns, emotions, and health care experience with child’s concussion, 3) concussions affect more than just your head and, 4) health information seeking, and preferences of parents and children related to concussion. Overall, this study demonstrated that children and their parents have unique experiences, information needs and preferences regarding concussion. Third, knowledge translation science was enhanced in terms of the development and testing of a novel, knowledge translation intervention (interactive infographic) for children and parents and building KT research capacity through collaborations with patients, families, and key stakeholders. Paper three describes the development of the interactive infographic, and our findings suggest this infographic was viewed positively by parents and significantly improved parents self-reported confidence in their knowledge of pediatric concussions. The findings of this research make substantial contributions to pediatric concussion research, knowledge translation intervention development and evaluation and patient engagement in research.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,036 | 0,096 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,005 | 0,006 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».