Notice bibliographique
Résumé
BACKGROUND: Autonomy plays an important part in nurses' job satisfaction and retention, but the literature shows that they are often dissatisfied with this aspect and want better working conditions and greater autonomy in decision-making. AIMS: The aim of this study was to examine the role that nurse managers have in enhancing hospital staff nurses' autonomy. METHODS: The study used a comparative descriptive survey design. Data collection took place over the Internet through the use of selective listservs in the United States of America (USA), Canada, and the United Kingdom. Of the 317 hospital nurses participating, 264 (83.3%) were from the USA. Differences relating to nurses, nurse managers, and hospital settings were controlled in the analysis. RESULTS: Nurses were more autonomous in making patient care decisions than unit operational decisions, and they perceived their autonomy to be at a moderate level. Those who were autonomous in patient care decision-making were also likely to be autonomous in unit operation decision-making. Nurse managers' actions had a strong relationship with nurses' autonomy in deciding on patient care and unit operation decisions, and with total autonomy. The three important variables that were reported by staff nurses to increase their autonomy were supportive management, education and experience. The three most important factors that were reported to decrease nurses' autonomy were autocratic management, doctors and workload. DISCUSSION: Technical issues such as the availability of listservs, valid e-mails, viruses, and familiarity with the Internet and its applications were the major limitations of this study. Nurses' autonomy over patient care and unit operations decisions needs to be enhanced, and nurse managers should promote this. Similarly, there is a role for nurse education, both in preregistration programmes and in continuing education for managers. Further research needs to explore the barriers that nurses face in autonomous decision-making and how nurses' participation in unit operational decisions can be promoted. CONCLUSIONS: Hospital staff nurses have moderate autonomy which could be increased by more effective support from nurse managers. The use of electronic questionnaires is a promising data collection method.
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 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 | 0,005 | 0,039 |
| 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 | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».