The perspective of dental students regarding the implementation of a social prescription scheme at McGill University
Notice bibliographique
Résumé
Background: Social prescribing is a healthcare approach that connects individuals with community-based resources to address non-medical factors affecting their well-being. It helps patients access social support, financial assistance, recreational activities, and essential services, complementing clinical care to improve overall health and quality of life. This model is widely implemented in primary care to tackle social determinants of health. But in dentistry, this approach is still relatively new and unexplored. At McGill University, undergraduate students receive introductory training on social prescribing, yet its integration into dental practice is still in its early stages. This thesis explores how fourth-year dental students at McGill University perceive about bringing social prescribing into dental practice, looking at its potential to address social determinants that impact health and improve patient care. Objectives: To better understand how dental students perceive social prescribing as well as the barriers and facilitators to implementing this approach in dental practice.Methodology: This qualitative descriptive study is based on semi-structured interviews with fourth-year dental students at McGill University. A purposeful sampling approach, specifically maximum variation sampling, was used to ensure diversity in age, gender, and levels of openness to social prescribing among the selected students. Twelve students participated in the study and were interviewed individually. The discussions were audio-recorded, transcribed verbatim, and analyzed using both deductive and inductive coding methods. This process helped identify key themes related to students’ perceptions of social prescribing. Findings:Participants perceived social prescribing as a valuable approach to providing holistic, person-centered dental care by addressing social and psychological factors that impact oral health. They recognized its potential to strengthen patient relationships and improve well-being. However, when considering how to apply it within their academic dental setting, they reported several challenges. These included time limitations during appointments, minimal faculty guidance, and unclear professional boundaries. Many were uncertain whether addressing social determinants truly fit within the scope of dental practice.Despite these concerns, participants identified several factors that could support integration. They emphasized the importance of early and continuous training in social prescribing throughout the dental program, increased faculty involvement and mentorship, and stronger partnerships with community organizations. Some also mentioned the need for clear referral processes and better tools to connect patients with appropriate services. When thinking about their future careers, many participants showed interest in adopting social prescribing, seeing its potential to improve patient care, while also recognizing that its success would rely on having the right support and systems in place.Conclusion:These findings highlight the importance of better training, clearer role definitions, and stronger system-level support to prepare students for integrating social prescribing into both education and 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 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 | 0,008 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,017 | 0,009 |
| Communication savante | 0,008 | 0,002 |
| Science ouverte | 0,003 | 0,008 |
| Intégrité de la recherche | 0,003 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».