Allergenic Ingredients in Health Care Hand Sanitizers in the United States
Bibliographic record
Abstract
BACKGROUND: Health care workers with occupational contact dermatitis often attribute their symptoms to frequent use of alcohol-based hand sanitizers. However, ingredient lists are difficult to obtain, and safe alternatives typically must accommodate brands utilized by a particular hospital system. OBJECTIVE: The aims of this study were to investigate allergenic ingredients present within health care hand sanitizers and to provide a comprehensive product list to assist with allergen avoidance. METHODS: Five major hospitals in Minnesota and 20 hospitals across the United States were called to obtain a product list. The National Library of Medicine's DailyMed Web site was searched to retrieve ingredients. Ingredients were compared with the American Contact Dermatitis Society 2017 Core Allergen Series and cross-reactors. RESULTS: The most common brands included Purell, Ecolab, DebMed, and Avagard. Active ingredients consisted of ethyl alcohol (85.0%), benzalkonium chloride (8.8%), or isopropyl alcohol (2.5%). Top 5 allergens included tocopherol (51.3%), fragrance (40.0%), propylene glycol (27.5%), benzoates (25.0%), and cetyl stearyl alcohol (12.5%). Four sanitizers were free of all American Contact Dermatitis Society allergens; 15 products contained only tocopherol or propylene glycol as allergens. CONCLUSIONS: We identified 19 low-allergen hand sanitizers within the most common brands utilized by US hospital systems. This product list will be useful for patients and health care workers seeking allergen avoidance.
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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 | 0.000 | 0.000 |
| 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".