CE: Original Research: Antineoplastic Drug Administration by Pregnant and Nonpregnant Nurses: An Exploration of the Use of Protective Gloves and Gowns
Bibliographic record
Abstract
: Background: Many antineoplastic (chemotherapeutic) drugs are known or probable human carcinogens, and many have been shown to be reproductive toxicants in cancer patients. Evidence from occupational exposure studies suggests that health care workers who have long-term, low-level occupational exposure to antineoplastic drugs have an increased risk of adverse reproductive outcomes. It's recommended that, at minimum, nurses who handle or administer such drugs should wear double gloves and a nonabsorbent gown to protect themselves. But it's unclear to what extent nurses do. PURPOSE: This study assessed glove and gown use by female pregnant and nonpregnant nurses who administer antineoplastic drugs in the United States and Canada. METHODS: We used data collected from more than 40,000 nurses participating in the Nurses' Health Study 3. The use of gloves and gowns and administration of antineoplastic drugs within the past month (among nonpregnant nurses) or within the first 20 weeks of pregnancy (among pregnant nurses) were self-reported via questionnaire. RESULTS: Administration of antineoplastic drugs at any time during their career was reported by 36% of nonpregnant nurses, including 27% who reported administering these drugs within the past month. Seven percent of pregnant nurses reported administering antineoplastic drugs during the first 20 weeks of pregnancy. Twelve percent of nonpregnant nurses and 9% of pregnant nurses indicated that they never wore gloves when administering antineoplastic drugs, and 42% of nonpregnant nurses and 38% of pregnant nurses reported never using a gown. The percentage of nonpregnant nurses who reported not wearing gloves varied by type of administration: 32% of those who administered antineoplastic drugs only as crushed pills never wore gloves, compared with 5% of those who administered such drugs only via infusion. CONCLUSION: Despite longstanding recommendations for the safe handling of antineoplastic and other hazardous drugs, many nurses-including those who are pregnant-reported not wearing protective gloves and gowns, which are considered the minimum protective equipment when administering such drugs. These findings underscore the need for further education and training to ensure that both employers and nurses understand the risks involved and know which precautionary measures will minimize such exposures.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".