Scope of Nursing Practice in a Tertiary Pediatric Setting: Associations With Nurse and Job Characteristics and Job Satisfaction
Bibliographic record
Abstract
PURPOSE: While professional nursing, like other health professions, has a recognized educational base and a legal scope of practice that is remarkably consistent across societies, there are important variations even within the same institution or organization in the extent to which professional nurses engage in the full range of activities for which they are qualified. There has been limited study of enacted (actual) scope of nursing practice (ESOP) or of its impacts on nurse job outcomes, such as job satisfaction. The aim of this study is to measure ESOP, as well as its predictors and impact on job satisfaction, in a specialty university-affiliated tertiary referral center in one of the few remaining jurisdictions outside the United States that continue to educate registered nurses at multiple educational levels. METHODS: This was a correlational cross-sectional design using structural equation modeling. Self-administered questionnaires were completed by 301 registered nurses holding permanent positions in specific clinical areas for 6 months or longer in a pediatric hospital in the province of Quebec, Canada. FINDINGS: ESOP or actual scope of practice was low-on average, nurses applied the range of skills within their theoretical scopes of practice only occasionally or "less than frequently" in their daily work (3.21 out of a possible 6 points). ESOP was strongly related to decision latitude (β = 0.319; p = .012), role ambiguity (β = 0.297; p = .011), and role overload (β = 0.201; p = .012). The personal characteristics that exerted the greatest direct influence on ESOP were education level (β = 0.128; p = .015) and growth need strength (β = 0.151; p = .008). Results also showed that ESOP exerts a direct positive influence on nurses' job satisfaction (β = 0.118; p = .006). Structural equation modeling analyses revealed a good fit of the data to the hypothesized conceptual model (χ²/df ratio index = 1.68, root mean square error of approximation = 0.049, confirmatory fit index = 0.985). CONCLUSIONS: Specific aspects of nurses' jobs are closely related to ESOP. ESOP is limited by certain job and personal characteristics and appears to affect nurses' job satisfaction. CLINICAL RELEVANCE: Results suggest that ESOP might be improved by adjusting nursing job characteristics and practice environments and that expanding ESOP increases nurse job satisfaction and may improve other health system outcomes as well.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".