Increasing sharp safety device use in healthcare: A semi-structured interview study
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
The use of sharp safety devices in healthcare is considered the most important means of preventing occupational percutaneous injuries and has been mandated for use in most hospitals in industrialized countries including in Canada. However, clinical personnel's perceptions on the use of safety devices needs further characterization to improve compliance. This study's objective was to identify healthcare provider perspectives on different aspects of sharp safety device use and on how use could be increased. Using a constant comparison approach, data from semi-structured interviews with 39 nurses, physicians and phlebotomists providing direct patient care, and six nurses acting as the interface between clinical personnel and purchasing departments, were analyzed. Study participants were from three of the six health authorities in British Columbia. The four major categories that emerged from the data were: selection processes; identification and replacement; training; and multi-level barriers and facilitators. Findings highlighted the importance of including personnel regularly using safety devices at each stage of their selection including when they are being considered for replacement with superior devices, as well as the need for appropriate initial and refresher training, and how practices at the hospital, ward and individual level facilitate safety device use.
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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 | 0.003 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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