Registered Nurses’ Characteristics and Their Levels of Compassion Competence and Satisfaction: A Cross-Sectional Survey
Bibliographic record
Abstract
Introduction Although registered nurses are expected to treat patients with care and compassion, a variety of characteristics may influence their ability to express compassion. Objectives (1) To assess registered nurses’ level of compassion competence and compassion satisfaction, and; (2) to explore how individual-level, employment-related, and organization-level characteristics are associated with their level of compassion competence and compassion satisfaction. Methods Registered nurses working in any practice setting in Ontario, Canada, completed a cross-sectional electronic survey of valid and reliable measures. Descriptive statistics and multiple linear regression analyses were used to address study objectives. Results One hundred eighty-one registered nurses participated. Most identified as female ( n = 157; 96.3%), Caucasian ( n = 144; 88.3%), and completed baccalaureate training as their highest level of education ( n = 80; 50.6%). Participants’ average compassion competence score was higher than average (4.18 on a 5-point scale), and most participants ( n = 171, 98.3%) reported moderate to high levels of compassion satisfaction. Compassion satisfaction was the only significant predictor of compassion competence, which indicated a positive relationship ( β = 0.344, p < .001). Compassion competence was among a variety of significantly positive predictors of compassion satisfaction ( β = 0.652, p < .001). The other positive significant predictors of compassion satisfaction were higher than baccalaureate education ( β = 0.363, p < .001), full-time work status ( β = 0.253, p = .012), working in organizations with greater compassion practices ( β = 0.114, p = .005), and organizations with higher climate for change ( β = 0.292, p < .001). Conclusions Study findings illuminate varying degrees of significance for individual-level, employment-related, and organization-level characteristics and how these predict registered nurses’ levels of compassion. These distinctions have important implications for intervention development and future research in understanding compassionate care among nurses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".