Do relational differences in demographics and work values result in conflict and burnout in the nursing workforce?
Notice bibliographique
Résumé
The consequences of diversity have not been formally considered as contributing to undesirable work environments in healthcare. I sought to address this gap by examining a conceptual model that explains how diversity within the nursing workforce gives rise to interpersonal conflict (relationship and task) within workgroups, which in turn, is linked to burnout (emotional exhaustion, depersonalization, and diminished personal accomplishment). Diversity was defined as the degree of relative difference or dissimilarity between an individual and other workgroup members on select attributes, which in this study were age, education, ethnicity/race, and work values. Using a cross-sectional survey design, data were taken from a population-based sample of 603 nurses (registered nurses and licensed practical nurses) (80% response rate) in two acute care hospitals in British Columbia, Canada. At the individual level of analysis, a two-step approach to latent variable modelling was used: (a) factor analysis techniques to test and establish the validity of the measurement model and (b) structural equation modelling to test the hypothesized model. Partial support for the proposed model was found for both the direct relationships between diversity and burnout as well as the mediating effects of interpersonal conflict. Overall, the results indicated that perceived diversity explained a greater percentage of the variance in burnout compared with the explanatory power of actual diversity. Specifically, perceived work values and educational diversity were the most important explanatory variables of depersonalization (Pratt index = 58% and 21%, respectively) and were similarly predictive of diminished personal accomplishment (Pratt index = 69% and 35%, respectively). Emotional exhaustion was solely (Pratt index = 100%) explained by perceived work values diversity; however, the total variance explained was very minimal. Both individuals’ involvement in relationship and task conflict were the predominant mediating variables of the relationships between perceived work values diversity and emotional exhaustion (59% and 76% total mediation, respectively), depersonalization (57% and 68% total mediation, respectively), and diminished personal accomplishment (28% and 32% total mediation, respectively). The implications of the study relate to nurses and decision-makers at the micro, meso, and macro level of practice to create a climate of support for, and acceptance of, diversity in healthcare workplaces.
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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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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 | 0,000 |
| 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 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 ».