A Bibliometric Analysis of Nurses’ Job Satisfaction From 2004 to 2023
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Notice bibliographique
Résumé
Aim: To conduct a bibliometric analysis of the nurses’ job satisfaction from 2004 to 2023. Design: The bibliometric and visual analysis was performed in January 2024. Methods: Bibliometric approaches were applied to analyse 11,993 articles, utilising R and VOSviewer software. Results: Articles published by 24,155 authors from 1735 distinct sources between 2004 and 2023 were retrieved from the Web of Science and incorporated into the research’s purview. The most productive nation and institution correspondingly were the United States and the University of Toronto. The leading scholars in this sphere were Spence Laschinger, Heather K, Labrague, Leodoro J, and Rodwell, John according to Price’s Law, author co‐citation and bibliographic‐coupling network analysis. 14,152 keywords about nurses’ job satisfaction study were discovered in this research. The most common keywords encompassed “job satisfaction,” “nurses,” “burnout,” “turnover,” and “intention” It was also observed that while trend topics like “work engagement” “COVID‐19” and “grit” have gained popularity recently, the most commonly employed trend topics in earlier years included “empirical research report” “longitudinal study,” and “organizational characteristics.” Conclusion: Research on nurses’ job satisfaction remains relatively limited and requires more attention, especially in developing countries. Developed countries, especially the United Kingdom and the United States, are the main contributors to nurse job satisfaction research. In the early days, nurse job satisfaction research mainly focused on the current status and influencing factors of nurse job satisfaction in different medical organizations, nurse groups or departments, while more researchers have recently paid more attention to research on specific issues emerging in this field, such as the impact of COVID‐19 on nurse job satisfaction and turnover. In addition, scholars in the field of nurse job satisfaction focus on finding the real determinants of job satisfaction of adult practicing nurses, such as interpersonal value consistency, human resource management, and the impact of job satisfaction of adult nurses in different medical environments. Topics such as “perseverance,” “COVID‐19” and “work engagement” may be potential focuses for future research. Furthermore, transnational research should be given greater emphasis to investigate whether the major factors and effective interferences of nurses’ job satisfaction differ between cultures and more multicenter as well as big sample studies should be conducted to efficiently improve nurses’ job satisfaction. Impact: This study used bibliometric analysis to examine the most contributing nations, institutions, authors, trend topics, and research focus. Data on the present state of nurses’ job satisfaction research, including its knowledge maps, study emphasis, and thematic trends are few. The findings of this research can lay a strong basis for future research and offer direction. No Patient or Public Contribution: There were no humankind subjects in the bibliometric analysis of published papers.
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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) | 0,000 | 0,000 |
| Bibliométrie | 0,092 | 0,116 |
| 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 découle