Transitions in a PhD in Nursing Program: A Critical Reflection on Students' Perceptions
Notice bibliographique
Résumé
Introduction: The purpose of this critical reflection is to share the collective experiences of eight doctoral students transitioning through a PhD nursing program at a Canadian University. Background: Globally, a nursing shortage of over a million nurses threatens to significantly impact patient safety and quality of care. One proposed response to the nursing shortage is to increase enrolment of students in nursing programs, with the aim of graduating more qualified nurses. However, a concurrent shortage of nursing faculty is impacting the profession’s ability to effectively respond to this issue, with fewer nurses completing doctorate degrees than there are existing vacant faculty positions. We propose that one solution to address the nursing faculty shortage, and to ensuring that nursing can respond to the ever-increasing complexity of patient care, is to improve the doctoral student transition process. Method: We used critical reflection to explore our experiences of transitioning into a PhD in Nursing program. Virtual group meetings via an online conferencing platform were conducted using a semi-structured interview format. Using the Bridges Transition Model (BTM) as a theoretical framework, we organized our reflections using the three phases from the BTM framework: ending, neutral zone, and new beginning. As this was a critical reflection, where all participants are also listed as authors, formal ethics approval was not required. Discussion: The ending phase symbolized the transition into the PhD program while still maintaining former professional roles and was characterized by a sense of loss of identity. Moving from the ending phase into the neutral zone phase required realignment of priorities, a shift in self-identity, and recognizing what facilitators are needed to transition. When navigating the neutral zone, we considered new roles and relationships and how they could provide support during this phase. Our transition from the neutral zone to the new beginnings phase extended beyond the PhD program to include the transition to life after the PhD. While some looked forward with hope and anticipation of the new beginning phase, others highlighted the uncertainties of post-PhD life. We identified community building and career mentoring as two strategies that might ease transitions and help PhD students with degree completion. Conclusions: This paper contributes to the literature on doctoral students’ experiences as they transition through a PhD in Nursing program. We recommend that nursing faculties incorporate strategies such as career coaching and formal supports for the development of student-led communities of practice. Helping PhD students navigate transitions associated with completion of the degree may reduce attrition and increase the potential supply of tenure-track nursing faculty.
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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 | 0,034 | 0,062 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,018 | 0,020 |
| Communication savante | 0,011 | 0,006 |
| Science ouverte | 0,004 | 0,013 |
| Intégrité de la recherche | 0,005 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».