Alberta: Evaluation of Nursing Retention and Recruitment Programs
Notice bibliographique
Résumé
Retention and recruitment strategies are essential to address nursing workforce supply and ensure the viability of healthcare delivery in Canada. Knowledge transfer between experienced nurses and those new to the profession is also a focus for concern. The Multi-Employer/United Nurses of Alberta Joint Committee attempted to address these issues by introducing a number of retention and recruitment (R&R) initiatives for nurses in Alberta: in total, seven different programs that were introduced to some 24,000 nurses and employers across the province of Alberta in 2001 (the Transitional Graduate Nurse Recruitment Program) and 2007 (the remaining six R&R programs). Approximately 1,600 nurses participated in the seven programs between 2001 and 2009. Of the seven strategies, one supported entry into the workplace, two were pre-retirement strategies and four involved flexible work options. This project entailed a retrospective evaluation of the seven programs and differed from the other Research to Action (RTA) projects because it was solely concerned with evaluation of pre-existing initiatives. All seven programs were launched without a formal evaluation component, and the tracking of local uptake varied throughout the province. The union and various employers faced challenges in implementing these strategies in a timely fashion, as most were designed at the bargaining table during negotiations. As a result, systems, policy and procedural changes had to be developed to support their implementation after they became available.Participants in the programs indicated improvements over time in several areas, including higher levels of satisfaction with work–life balance, hours worked and their current practice and profession. The evaluation found that participation led to perceived improvements in nurses' confidence, greater control over their work environment, decreased stress levels, increased energy and morale and perceived improved ability to provide high-quality care. However, no formal implementation plan had been developed or made available to assist employers with implementation of the programs. The findings highlight the need for more discipline in communicating, implementing and evaluating initiatives such as those evaluated retrospectively in this project. In particular, key performance indicators, baseline data, monitoring mechanisms and an evaluation plan need to be developed prior to implementation.
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 | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».