Through thick and thin: nursing resilience as an adaptive psychological mechanism in the context of professional integration
Bibliographic record
Abstract
BACKGROUND: Based on the theoretical framework of self-determination theory, this study examines the links between the quality of interpersonal relationships and occupational health (vigor and emotional exhaustion), as well as the occupational functioning (affective commitment and turnover intentions) of new nurses, considering the potential role of psychological resources (satisfaction of basic psychological needs: autonomy, competence and relatedness; resilience) as intermediate coping mechanisms. METHOD: The sample for this cross-sectional study comprises 273 Quebec new nurses (≤ 2 years of experience). Using the MPlus 8.8 software, a mediation analysis was performed to test the proposed adaptation model. RESULTS: The quality of interpersonal relationships at the beginning of a nursing career is linked to the satisfaction of psychological needs at work. In this regard, our results indicate that it is through the perception of competence at work that the quality of interpersonal relationships is associated with resilience. In turn, new nurses' resilience is related to occupational health (positive and significant link with vigor, negative and significant link with emotional exhaustion). In terms of the psychological resources that potentially intervene in the relationship between the quality of interpersonal relationships and the occupational functioning, our results suggest that psychological needs could play a partial mediating role. Indeed, direct and significant links are observed between the perception of competence and the occupational turnover intentions (β = - 0.226, p = .029), as well as between the perception of autonomy and affective commitment to the nursing profession (β = 0.240, p = .026). CONCLUSION AND IMPLICATIONS: Positive relationships at work are a lever for professional adaptation for new nurses since they lead to the establishment of important psychological resources (competence and resilience) for their occupational health and occupational functioning. Health care institutions are therefore encouraged to strengthen harmonious, rewarding, satisfying and trusting relationships in their environments. In addition, they would benefit from directing the new nurse to the importance of their psychological resources, given their positive associations with the health and functioning indicators measured in this study. The implications of the study are discussed in light of the most recent literature on the adaptation of new nurses. TRIAL REGISTRATION: Not applicable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".