Continuing education needs of registered nurses in Northwestern Ontario : a needs assessment approach / Laura Kokocinski.
Notice bibliographique
Résumé
In Canada, there has been little progress in the \ndevelopment and advancement of continuing nursing \neducation since World War II. The recent release of \nnational and provincial documents, the trend toward \nspecialization and the need for increased knowledge based \non technological changes in practice, supports the \nimportance of continuing nursing education and its vital \nrole in maintaining the credibility of the profession. \nThe purpose of this study was to investigate and \ndescribe the continuing education needs of registered \nnurses in Northwestern Ontario. A Needs Assessment?s \nFramework for Continuing Nursing Education was developed \nto answer the research questions. The research design \ninvolved mailing a questionnaire to 800 registered nurses \nin Northwestern Ontario and personal interviews with ten \nparticipants. Data was analyzed using descriptive and \ncorrelation statistics. \nContinuing education needs were defined, as well as \nthe factors which influence these needs. The findings \nindicated that nurses in Northwestern Ontario were \ninterested in pursuing continuing education. However, the \nmajority were not currently participating in continuing education. The results suggest that geographical \nlocation, educational preparation, area of employment and \nmotivational considerations affect continuing education \nneeds and are predictors of participation. Other \nvariables, such as; "valuing" of continuing education, \nthe need for professional upgrading, accessible \neducational offerings, educational delivery methods, the \nvariety of educational needs and the busy lifestyles of \nthe nurses surveyed, suggest trends or influences which \nmay impact the continuing education needs of registered \nnurses in Northwestern Ontario. \nThe present study also has several implications for \ncontinuing nursing education in Northwestern Ontario. The \nfindings indicate that continuing education must be \nrecognized and valued by nurses, employers and the \nprofession as a whole. Educational offerings could then \nbe planned and offered in a collaborative approach to \nmeet the nurses needs. The results of this study also \nindicate that further research is required to explore \nmotivational orientations, appropriate learning methods, \nbarriers to participation, and to investigate the \neffectiveness of the voluntary model for continuing \neducation.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 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 ».