Evaluation of a Modified Scavenging System to Reduce Occupational Exposure to Nitrous Oxide in Labor and Delivery Rooms
Bibliographic record
Abstract
We developed a new scavenging mask for the administration of nitrous oxide to mothers-to-be during labor in order to minimize leakage of the patient's exhaled breath into the room and, therefore, decreasing staff exposure to nitrous oxide. The scavenging system was designed with an inner mask for gas delivery, an outer mask to capture exhaled breath, and a continuous exhaust airflow based on breathing flow rates. In this study we field tested the scavenging system by measuring personal exposures of nurses (N = 30) and room air concentrations (N = 33), while patients self-administered nitrous oxide either through the conventional or modified scavenging system. Personal exposures were measured using passive nitrous oxide monitors, and area measurements were made using a direct-reading infrared analyzer. Information about volumes of nitrous oxide used, nurses' movements, and patients' use of the analgesic was recorded in order to examine factors that influenced exposures and the effectiveness of the scavenging system. The new scavenging system significantly reduced exposures in the room and to nurses (arithmetic mean nitrous oxide concentrations = 39.7 ppm and 40.2 ppm, respectively, compared with 82.2 ppm and 69.3 ppm, respectively, for the conventional system). Other factors associated with lower concentrations included larger distances between the nurse and the patient, and greater times since nitrous oxide was used. Observations during the field trial indicated that subjects did not hold the scavenging mask close enough to the face to capture exhaled breath during much of the time when the breath was highly contaminated. Additional modifications to the scavenging system are required to further reduce nitrous oxide concentrations and to improve comfort and usability.
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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 | 0.001 | 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".