Effects of Interprofessional Education on Readiness for Interprofessional Learning in Rehabilitation Science Students From Professional Health Care Programs: Protocol for a Systematic Review
Notice bibliographique
Résumé
BACKGROUND: The World Health Organization defines interprofessional education (IPE) as a process in which students from different health care programs work together to provide effective care while deepening their knowledge of each other's roles. Previous literature shows a strong argument for early exposure to IPE as a facilitator for high quality patient care. The goal of IPE is to improve interprofessional collaboration (IPC), the "gold standard" of care to enhance patients' quality of life, functional ability, and health status, especially for patients who require expertise from a variety of health care professionals. IPC has shown improvements in quality of life, functional ability, and health status. IPE can occur in the form of structured interventions or spontaneously in student placements. Literature has demonstrated that IPE facilitates skill, knowledge development, teamwork, communication skills, and mutual respect among health care professional students. OBJECTIVE: This systematic review aims to examine IPE outcomes, including readiness for IPC, IPE perceptions, attitudes toward collaborative learning, student confidence, practice efficiency, and team dynamics after IPE interventions in rehabilitation science students. METHODS: The study will be conducted as outlined by the Cochrane Handbook for Systematic Reviews and will be reported per the PRISMA (Preferred Reporting of Items for Systematic Reviews and Meta-Analyses) 2015 guidelines. Students have performed literature searches across the databases MEDLINE, Embase, CINAHL, ERIC, Web of Science, and AMED. Studies will be included if their IPE intervention included multiple prelicensure health care professional students in a health care or health care education setting. Based on timelines presented in the Institute of Medicine's report on the impacts of IPE, relevant studies from 2016 to the present will be included. The Risk of Bias 2 tool will be used to study sources of bias. The GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) working group's methods will be used to evaluate the quality of the evidence presented. The final 3 authors are assisting as supervisors, providing oversight and feedback as needed. Any deviations from this protocol will be reported in the final paper. RESULTS: The search strategy was finalized and searched across the databases by March 8, 2024. The systematic review was registered with PROSPERO on March 31, 2024. A total of 10,692 citations were retrieved for abstract and title screening, beginning in March 2024, and 756 were eligible for full-text screening in April 2024. Six articles were considered for inclusion and data extraction, which began in July 2024. Finalization of the extracted data and paper will occur in September 2024. CONCLUSIONS: This systematic review will provide a summary of the effects of IPE interventions in prelicensure rehabilitation science students. It will provide educators, health care providers, and students with valuable information for understanding the relevance of IPE. It will also shed light on research gaps and highlight areas for further study. TRIAL REGISTRATION: PROSPERO CRD42024506081; https://tinyurl.com/3tf2h9er. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/60830.
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 | 0,065 | 0,070 |
| Méta-épidémiologie (sens strict) | 0,007 | 0,005 |
| Méta-épidémiologie (sens large) | 0,026 | 0,026 |
| Bibliométrie | 0,012 | 0,013 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,007 | 0,008 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,007 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,061 | 0,006 |
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 ».