Barriers and Facilitators to Communicating Nursing Errors in Long-term Care Settings
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To explore nurses' perceptions about communicating nursing errors. DESIGN: Cross-sectional, descriptive study. PARTICIPANTS: Approximately 289 nurses working in long-term care facilities in Ontario, Canada. METHODS: A cross-sectional, descriptive study of approximately 289 nurses working in long-term care facilities in Ontario, Canada. Solicited nurses' perceptions concerning the disclosure of nursing errors and adverse events by including an open-ended item at the conclusion of a 60-item (multiple choice) questionnaire on the same topic. A qualitative content analysis was conducted using a multi-step process. RESULTS: A total of 245 responses were included in the content analysis. The main categories related to error communication that were derived from the analysis were as follows: (1) differences in the definition of terms; (2) the day-to-day working conditions and their impact on defining and reporting errors; (3) organizational factors that both help and hinder the reporting of errors in ensuring both personal and organizational responsibility; (4) communication styles that both help and hinder disclosure and adherence to proper protocols; and (5) external factors such as policies and professional standards and codes of ethics, which can provide clarity of process; and (6) recommendations for implementation of professional standards in long-term care settings to facilitate supportive working conditions. CONCLUSION: Eliminating the barriers to error communication requires moving toward a culture of safety. This involves both top-down and bottom-up approaches that allow nurses to feel comfortable being active participants in the error communication process.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it