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Enregistrement W4407100112 · doi:10.3390/nursrep15020050

Supporting Novice Nurses’ Transition to Independent Practice: Evaluation of the TIPS Program Using the Kirkpatrick Model

2025· article· en· W4407100112 sur OpenAlex

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Notice bibliographique

RevueNursing Reports · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueSimulation-Based Education in Healthcare
Établissements canadiensWilliam Osler Health SystemTrillium Health CentreMcMaster UniversityUniversity of Toronto
Organismes subventionnairesRoyal Bank of Canada
Mots-clésMedical educationTransition (genetics)PsychologyComputer scienceMedicineChemistry

Résumé

récupéré en direct d'OpenAlex

Trillium Health Partners (THP) is a hospital network that serves the Mississauga region of Ontario, Canada, and sees nearly 1.7 million patient visits each year. THP is also a provider of highly specialized services to the region and a fully-fledged academic teaching center, with embedded research and innovation. Background/Objectives: Highly trained, skilled, and experienced nurses are foundational to THPs ability to meet the complex care needs of our patients across specialized programs. In 2024, 50% of the nursing workforce at THP was noted to have less than five years of experience. This generation of nurses are reporting high levels of burnout and are at greater risk of leaving the profession. The more experienced nurses are also facing burnout due to the continued pressures and demands in the workplace, having to manage an increasingly complex patient assignment, while providing mentorship to more novice nurses. Based on the existing literature and our collective experience at THP, we have developed the Transition to Independent Practice Support (TIPS) program, a multi-pronged approach to bolster support for our nursing workforce. The TIPS program at THP is designed to address knowledge gaps and enhance clinical competence among new and aspiring nurses. The primary aim of this study is to evaluate the efficacy of the TIPS program in facilitating the transition of novice nurses to independent and competent practitioners, utilizing the Kirkpatrick Model of Evaluation The specific objectives include (a) assessing participants’ reactions to the TIPS program; (b) measuring the increase in nurses’ knowledge and confidence following program participation; (c) evaluating changes in nurses’ behavior and practice post-program; and (d) determining the program’s impact on nurse retention and quality of patient care. Methods: Grounded in Meleis’s Transition Theory, the program combines webinars, simulations, clinical rounding, and mentorship to build resilience, decision-making, and confidence. Evaluative measures, based on the Kirkpatrick Model, assessed participant satisfaction, learning outcomes, behavior changes, and retention. Results: From September 2023 to March 2024, 388 interdisciplinary participants attended the program, including nursing students (56%), registered nurses (24%), registered practical nurses (14%), and aspiring nurses in other interprofessional roles (6%). Participants expressed high satisfaction with the program, achieving a mean reaction score of 4.80 (SD = 0.2921). Ninety-five percent found the sessions relevant, and 98% rated the facilitators as knowledgeable. Self-reported confidence significantly increased across all topics, with overall mean confidence scores rising from 2.94 to 4.52 (p < 0.0001, Cohen’s d = 3.01), demonstrating a strong impact on skill acquisition and application. Behavioral evaluations through simulations, competency checklists, and follow-up touchpoints confirmed improved clinical performance, with participants achieving 100% compliance to nursing skills during simulations and sustained confidence at three-month follow-ups. Since the program’s implementation, nursing turnover rates decreased from 9.52% to 7.7% by March 2024, with 100% of RNs, RPNs and IENs of TIPS participants retained within six months. Conclusions: This paper outlines the TIPS program and the diverse teaching and learning methodologies used in the design and program implementation to ultimately support the transition experience of the new gradate nurse into acute care. Preliminary outcomes are discussed including nursing retention rates, nurses’ knowledge, confidence, and skill levels.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,291
Score d'incertitude au seuil0,514

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,064
Tête enseignante GPT0,507
Écart entre enseignants0,443 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle