Factors Associated and Response to Needle Stick Injuries among Nursing Officers in District General Hospitals of Sri Lanka
Bibliographic record
Abstract
INTRODUCTION: This study was carried out to find out the existing prevalence rates of the Needle Stick Injuries (NSIs) among nursing officers in Sri Lankan health delivery system and to identify the factors associated with NSIs including the level of knowledge, attitude and practice on prevention.METHODS: A descriptive cross sectional study was conducted in three District General Hospitals. Five routine working units identified from each hospital. Proportional allocations were made with a final step of simple random sampling to select the sample. Self- administered questionnaire was used for data collection.RESULTS: Response rate was 95% and the prevalence of NSIs was 43%. IV cannulation was the most risky procedure (51%). Re-capping was seen in 24% of the exposed group. Medical wards accounted for 78% of the NSIs. There was a significant difference in NSIs seen in maturity in age (p=0.015) and increase working experience (p=0.044) but no difference was found with increased work load (no. of patients seen per day, p=0.765, increase number of working hours per week, p=0.204) and participation in in-service training programs (p=0.592). Pre exposure Hepatitis B immunization was seen in only 64%. A significant 49% did not report the injury and the main reason was assumed less risk (46%).CONCLUSION: Prevalence of NSIs was still high and ignorance and neglect are the main causes. Health education and in-service training should be mainly directed at inculcating knowledge into practice and changing attitudes towards safe practices. Hepatitis B immunization should be provided as early as possible.
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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 | 0.004 | 0.006 |
| 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".