Work-related injury among direct care occupations in British Columbia, Canada
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
OBJECTIVES: To examine how injury rates and injury types differ across direct care occupations in relation to the healthcare settings in British Columbia, Canada. METHODS: Data were derived from a standardised operational database in three BC health regions. Injury rates were defined as the number of injuries per 100 full-time equivalent (FTE) positions. Poisson regression, with Generalised Estimating Equations, was used to determine injury risks associated with direct care occupations (registered nurses [RNs], licensed practical nurses [LPNs) and care aides [CAs]) by healthcare setting (acute care, nursing homes and community care). RESULTS: CAs had higher injury rates in every setting, with the highest rate in nursing homes (37.0 injuries per 100 FTE). LPNs had higher injury rates (30.0) within acute care than within nursing homes. Few LPNs worked in community care. For RNs, the highest injury rates (21.9) occurred in acute care, but their highest (13.0) musculoskeletal injury (MSI) rate occurred in nursing homes. MSIs comprised the largest proportion of total injuries in all occupations. In both acute care and nursing homes, CAs had twice the MSI risk of RNs. Across all settings, puncture injuries were more predominant for RNs (21.3% of their total injuries) compared with LPNs (14.4%) and CAs (3.7%). Skin, eye and respiratory irritation injuries comprised a larger proportion of total injuries for RNs (11.1%) than for LPNs (7.2%) and CAs (5.1%). CONCLUSIONS: Direct care occupations have different risks of occupational injuries based on the particular tasks and roles they fulfil within each healthcare setting. CAs are the most vulnerable for sustaining MSIs since their job mostly entails transferring and repositioning tasks during patient/resident/client care. Strategies should focus on prevention of MSIs for all occupations as well as target puncture and irritation injuries for RNs and LPNs.
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.
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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 it