Prevalence of Needlestick Injury and Its Potential Risk among Veterinarians in Nigeria
Why this work is in the frame
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Bibliographic record
Abstract
A cross sectional study using multistage sampling method by means of structured interviewer administered questionnaire was designed to estimate the rate of occurrence of needlestick injuries among veterinarians involved in clinical practice and to evaluate needle handling practices and risk factors. The study was carried out during the months of August–November 2015. Out of the 215 veterinarians that participated in the survey, 171 (79.5%) reported to have suffered needlestick injuries (NSIs). In the multivariable model, only male sex (OR 2.8, 95% CI 1.4–6.0, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn fontstyle="italic">0</mml:mn><mml:mtext>.</mml:mtext><mml:mn fontstyle="italic">006</mml:mn></mml:math>) and working with poultry daily (OR 2.4, 95% CI 1.1–6.2, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn fontstyle="italic">0.036</mml:mn></mml:math>) were significantly associated with NSI. Most (111, 64.9%) veterinarians had discomfort including pain, headache, fever, worry, and local numbness from NSIs; however, none was hospitalised. Only 1 (0.6%) had lost time at work. The approach to needlestick injury avoidance was poor and most (98.8%) NSIs were not reported. The findings of this research call for comprehensive health and injection safety programs for veterinarians involved in clinical practice.
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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 | 0.000 | 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) | 0.001 | 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