Patients’ Experiences With Vehicle Collision to Inform the Development of Clinical Practice Guidelines: A Narrative Inquiry
Notice bibliographique
Résumé
OBJECTIVE: The purpose of this narrative inquiry was to explore the experiences of persons who were injured in traffic collisions and seek their recommendations for the development of clinical practice guideline (CPG) for the management of minor traffic injuries. METHODS: Patients receiving care for traffic injuries were recruited from 4 clinics in Ontario, Canada resulting in 11 adult participants (5 men, 6 women). Eight were injured while driving cars, 1 was injured on a motorcycle, 2 were pedestrians, and none caused the collision. Using narrative inquiry methodology, initial interviews were audiotaped, and follow-up interviews were held within 2 weeks to extend the story of experience created from the first interview. Narrative plotlines across the 11 stories were identified, and a composite story inclusive of all recommendations was developed by the authors. The research findings and composite narrative were used to inform the CPG Expert Panel in the development of new CPGs. RESULTS: Four recommended directions were identified from the narrative inquiry process and applied. First, terminology that caused stigma was a concern. This resulted in modified language ("injured persons") being adopted by the Expert Panel, and a new nomenclature categorizing layers of injury was identified. Second, participants valued being engaged as partners with health care practitioners. This resulted in inclusion of shared decision-making as a foundational recommendation connecting CPGs and care planning. Third, emotional distress was recognized as a factor in recovery. Therefore, the importance of early detection and the ongoing evaluation of risk factors for delayed recovery were included in all CPGs. Fourth, participants shared that they were unfamiliar with the health care system and insurance industry before their accident. Thus, repeatedly orienting injured persons to the system was advised. CONCLUSION: A narrative inquiry of 11 patients' experiences with traffic collision and their recommendations for clinical guidelines informed the Ontario Protocol for Traffic Injury Management Collaboration in the development of new Minor Injury Guidelines. The values and findings of the qualitative inquiry were interwoven into each clinical pathway and embedded within the final guideline report submitted to government.
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 | 0,037 | 0,069 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,011 | 0,013 |
| Communication savante | 0,010 | 0,009 |
| Science ouverte | 0,003 | 0,011 |
| Intégrité de la recherche | 0,004 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».