Organizational evidence‐based practice culture, implementation leadership, and nurses: A bidirectional mediation model
Notice bibliographique
Résumé
AIM: This study aimed to explore 1) factors that influenced the evidence-based practice competencies and behaviors of clinical nurses and 2) the interaction between the organizational evidence-based practice culture, head nurses' implementation leadership, and nurses' evidence-based practice competencies and behaviors. BACKGROUND: The significance of organizational evidence-based practice culture and head nurses' implementation leadership in enhancing nurses' evidence-based practice competencies and behavior is widely recognized in healthcare settings. However, there is limited knowledge of how these factors influence nurses' evidence-based practice competencies and behavior. METHODS: A cross-sectional survey was conducted at 10 hospitals in China. Data were collected via online questionnaires from October to December 2020, utilizing social characteristic questionnaires, the Evidence-Based Practice Questionnaire, the Organizational Culture and Readiness Scale for System-wide Implementation of Evidence-Based Practice, and the Implementation Leadership Scale. All data were imported into the IBM Statistical Program for the Social Sciences (SPSS) 27.0 and PROCESS version 4.1 macro on SPSS for statistical analysis. The design and reporting of our study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Checklist. RESULTS: We received 1047 (99.15%) valid questionnaires. The multiple linear regression analysis showed that significant factors were organizational evidence-based practice culture, implementation leadership, and years of experience in nursing. After controlling for the impact of the covariate (years of experience in nursing), it was found that organizational evidence-based practice culture partially mediated the relationship between head nurses' implementation leadership and nurses' evidence-based practice competencies and behaviors. Additionally, head nurses' implementation leadership partially mediated the relationship between organizational evidence-based practice culture and nurses' evidence-based practice competencies and behaviors. CONCLUSION: Organizational evidence-based practice culture, head nurses' implementation leadership, and years of experience in nursing significantly predict nurses' evidence-based practice competencies and behaviors. Organizational evidence-based practice culture and head nurses' implementation leadership mutually mediated their influence on nurses' implementation of evidence-based practice. IMPLICATIONS FOR NURSING AND POLICY: Head nurses should proactively seek opportunities to enhance their implementation leadership, such as participating in training programs (e.g., mentoring and coaching programs) and attending conferences, workshops, or seminars on implementation leadership. Policymakers should also consider providing more policy support for implementing leadership development and cultivating a positive evidence-based practice culture.
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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 | 0,010 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,003 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 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 ».