ASSESSMENT OF PROFESSIONALISM IN NURSING AND FACTORS ASSOCIATED AMONG NURSES WORKING IN ARSI ZONE PUBLIC HOSPITALS, OROMIA, ETHIOPIA, 2018
Notice bibliographique
Résumé
Abstract Background Professionals are defined in the context of a particular body of knowledge which is obtained through formal education, expanded level of skills, type of certification proving their entry into the profession; a set of behavioral norms called professionalism and attitudes representing high levels of commitment to and identification with a specific profession. Several factor affecting the development of the nursing profession. Recognizing and determining such factors can be the first step to move towards the professionalization of nursing. The objective of this study was to assess professionalism in nursing and factors associated among nurses working in Arsi zone, Public Hospitals, Oromia, Ethiopia 2018. Methods This study used an Institutional based cross sectional study design. Self-administered structured questionnaire adapted from RNAO (Registered Nurses’ association of Ontario) guideline, was used to measure the level of professionalism. The sample was 420 nurses from the six Public Hospitals of Arsi Zone, Oromia, Ethiopia. Data was analyzed using SPSS 20.0. Both bivariate and multivariate analysis were carried out to identify associations. Odds ratio was calculated for related factors with 95% confidence interval (CI). A p-value < 0.05 was considered to be statistically significant. Result Out of 420 Nurses working in six public Hospitals, 380 responded to the questionnaire, making the response rate of 90.5%. In current study level of professionalism was high among nurses (n=380) with highest percentages on accountability, advocacy, and ethics. Gender (AOR=2.489, 95% CI=1.540-4.023), nursing is indispensable (AOR=1.760, 95% CI=1.104-2.806), job satisfaction (AOR= 1.844, 95% CI = 1.143-2.975) and having up to dated training (AOR= 1.809, 95%CI=1.071-3.055 were significantly associated with overall professionalism level. Conclusion Nurses working in public hospitals of Arsi zone have relatively had better professionalism level. Gender, nursing is indispensable, job satisfaction, presence of up-to-dated trainings were found significantly associated with professionalism in nursing. Human resource personnel and CEO’s of respective hospitals should develop various training programs for nurses and provide encouraging environments for obtaining better qualities in attributes of professionalism.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,001 |
| 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 ».