Bibliographic record
Abstract
OBJECTIVES: This article examines associations between medication error and selected factors in the workplace of hospital-employed registered nurses (RNs) in Canada. DATA SOURCES AND METHODS: Data are from the 2005 National Survey of the Work and Health of Nurses, and were weighted to be representative of all RNs in Canada who deliver direct care to hospital patients. Correlates of medication error were considered in bivariate and multivariate analyses. Multiple logistic regression modeling was used to examine medication error in relation to work organization and workplace environment, while controlling for personal factors, including nurses' general and mental health, job dissatisfaction, education, years of experience in nursing, and clinical area of employment. RESULTS: Nearly one-fifth (19%) of hospital RNs reported that medication error involving patients in their care had occurred "occasionally" or "frequently" in the past year. In the fully adjusted multivariate model, medication error was positively associated with usually working overtime, role overload, perceived staffing or resource inadequacy, low co-worker support, and low job security. Usually working a 12-hour shift, compared with shorter shifts, was negatively associated with medication error.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".