Nurses’ Attitudes Toward the Importance of Families in Nursing Care: A Multinational Comparative Study
Bibliographic record
Abstract
The aim of this study was to examine nurses' attitudes about the importance of family in nursing care from an international perspective. We used a cross-sectional design. Data were collected online using the Families' Importance in Nursing Care-Nurses' Attitudes (FINC-NA) questionnaire from a convenience sample of 740 registered nurses across health care sectors from Sweden, Ontario, Canada, and Hong Kong, China. Mean levels of attitudes were compared across countries using analysis of variance (ANOVA). Multiple regression was used to identify factors associated with nurses' attitudes and to test for interactions by country. Factors associated with nurse attitudes included country, age, gender, and several practice areas. On average, nurses working in Hong Kong had less positive attitudes compared with Canada and Sweden. The effects of predictors on nurses' attitudes did not vary by country. Knowledge of nurses' attitudes could lead to the development of tailored interventions that facilitate nurse-family partnerships in care.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".