Lesson Learned when Researching the Lived Experiences of Young Female Skiers with Knee Injuries
Notice bibliographique
Résumé
Anterior Cruciate Ligament (ACL) injury occurs frequently in the sport of alpine ski racing and research in the mid 90's suggested that female skiers were three times more likely to have an ACL disruption than male counterparts. Interestingly career length was not reported as being reduced because of ACL injury but in fact lengthened. As an undergraduate student pursuing physical therapy and a former ski racer who had knee injuries, I undertook a summer research position that explored the lived experiences of ACL injured racers. PURPOSE: To understand how sustaining an ACL injury was meaningful to the ski racer and their return to sport. METHODS: This study used qualitative research methods; specifically hermeneutic phenomenology and potential participants were contacted through a social networking website. Three female alpine skiers between the ages of 23 and 24 who had sustained an ACL injury and had returned to skiing consented to be interviewed. Interviews were semi-structured, audio-recorded, transcribed and themes were identified using a specialized software program. RESULTS: Injury frustration was high and therefore a strong preference to see surgery as a solution was commonplace. Participants stated they were motivated to recover and described their interactions with doctors and therapists as significant components of their recovery. The most interesting aspect was the variability in injury experience despite all being female, alpine racers and injured during skiing. CONCLUSION: The in-depth qualitative interviews enabled the skiers to describe and define their own lived experiences of ACL injury, treatment, and return to sport. The female ski racers who participated in this study expressed a variety of views and beliefs about their experiences. However, saturation may not have been reached by the end of data collection and therefore it is not known if more themes would have emerged. Remaining unbiased from my own personal experiences as an injured skier proved to be the most difficult part of conducting this research. Yet learning to do this will help me be a better listener as a health care practitioner.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,005 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».