Needle stick injuries in healthcare workers of a secondary Care Hospital, Pakistan.
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
Needle Stick Injury (NSI) is a percutaneous piercing wound typically dealing with sharps. Needle stick injuries are the most common health care workers issue worldwide. The causes include various factors like type and design of needle, recapping activity, handling/transferring specimens, collision between HCWs or sharps, during clean-up, manipulating needles in patient line related work, passing/handling devices or failure to dispose of the needle in puncture proof containers. NSIs may transmit other bacterial, fungal, or viral infections, including blastomycosis, cryptococcosis, diphtheria, herpes, malaria, mycobacteriosis, spotted fever and syphilis. Objectives: To determine frequency of needle stick injury among health care workers. Study Design: Cross-sectional study. Setting: District Headquarter Hospital Layyah. Period: Jan to March 2019. Material & Methods: Sample size was 161. A structured pre-tested questionnaire containing both open and close-ended questions was administered during the period of Jan-March 2019. Results: Out of 161 participants, 114 (70.8%) reported having a needle stick injury at least once during their clinical practice and the frequency of NSIs was significantly higher among nurses (76.7%) as compared to Doctors (50%), Laboratory staff (45.5%) and waste handlers (70.8 %). Conclusion: Study concludes that in absence of the routine collection of accurate data on NSIs, small studies have been useful in highlighting which groups of HCWs are most at risk from NSIs.
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 | 0.001 | 0.002 |
| 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 | 0.003 |
| 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