Spanish nurses’ attitudes towards research and perceived barriers and facilitators of research utilisation: a comparative survey of nurses with and without experience as principal investigators
Bibliographic record
Abstract
AIMS AND OBJECTIVE: To examine attitudes towards research and perceived barriers and facilitators of research utilisation in clinical practice in a broad cross-section of Spanish nurses. BACKGROUND: Nurses' attitudes towards research are critical in determining whether study findings are used to improve practice. DESIGN: Cross-sectional comparative survey in Hospitals, Primary Care Centres and University-affiliated schools of nursing. METHODS: Surveys were completed by 917 nurses: 69 who received funding from the Spanish national agency (1998-2004) and a nationally representative sample of 848 nurses who did not have the same research experience (the Comparison group). Two instruments (BARRIERS and Attitudes towards nursing research) were translated and culturally adapted for use in Spain. A descriptive analysis of demographic and practice characteristics was performed. Total scale scores, as well as subscale scores, were computed and compared across the two groups using one-way analysis of variance (anova) and multivariate analysis of variance (manova) with post hoc tests. Pearson product-moment correlation coefficients were computed between the total tool scores and subscales measuring barriers and attitudes in both groups. RESULTS: The investigators differed from other nurses on several demographic and work characteristics (more males, older age and more likely to work a fixed day shift schedule). On the whole, investigators showed more favourable attitudes but perceived several elements as posing greater barriers to research utilisation than the Comparison groups. Across all respondents, issues related to the quality of research were rated as the greatest barriers to research utilisation, followed by organisational barriers, barriers involving the communication of findings and finally, those related to nurses' values, awareness and skills. CONCLUSIONS: Very similar profiles of perceptions and attitudes regarding research were found in these samples of Spanish nurses relative to those from other countries in earlier reports. Nurses who had experience conducting research demonstrated more favourable research-related attitudes and perceived barriers differently than those without such experience. RELEVANCE TO CLINICAL PRACTICE: Understanding different organisational and experience perspectives is important to identify challenges and opportunities to ensure research utilisation in clinical practice.
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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 | 0.021 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".