Community-Acquired Needle-Stick Injuries: Rapid and Safe Retrieval of Discarded Needles Is Essential: In Reply
Bibliographic record
Abstract
We agree with Mr Blenkharn that a timely and coordinated retrieval program for used needles and syringes is part of the solution for preventing community-acquired needlestick injuries (CA-NSIs). However, the cornerstone of CA-NSI prevention is requiring safe disposal of used needles and syringes by the user. We would like to share the successful experience of the Province of Quebec, Canada, as shown by the decrease in CA-NSI incidence observed in pediatric emergency departments in Montreal.1In 2003, the Ministry of Health of the Province of Quebec mandated an advisory committee to review the situation and make recommendations regarding safe recuperation of used needles and syringes. A park clean-up program was put in place that year, and in June 2006, an integrated system for the recuperation of used needles and syringes was launched. As part of this system, the Ministry of Health provides free secure needle-disposal containers (1.4 and 5 L) for individuals who need them. They are distributed by community pharmacies, local service networks, community organizations, and teaching centers for diabetics. Every encounter with individuals known to use needles, syringes, or lancets is used as an opportunity to provide these containers. Once full, the container can be returned to one of the aforementioned participating locations. From there, the containers are then transported to an agreed-on local facility at which they are destroyed safely with other medical waste. Since 2006, 300 000 containers have been distributed, with an estimated 40 million syringes recuperated safely. So far, ∼90% of community pharmacies in the Province of Quebec are participants in this program. Larger containers (50 L) have also been provided to the community pharmacies to enable them to collect used needles and lancets brought back in a nonstandard container.Moreover, educational material2 regarding used needles has been distributed to primary schools and day care centers to increase awareness of children and adults working with children. Outdoor and indoor disposal units have been installed in public places where intravenous drug users gather. Guidelines for safe pick-up of syringes are available to the public.2 The provincial health help line (Info-Santé CLSC), easily accessible by dialing 811, also has a protocol for safe syringe recuperation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.034 | 0.047 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".