Accurate Dosing of Antiretrovirals at Home Using a Foilized, Polyethylene Pouch to Prevent the Transmission of HIV From Mother to Child
Bibliographic record
Abstract
Mother-to-child HIV transmission rates remain elevated in countries with high home birth rates. This risk can be dramatically reduced if infants receive antiretroviral (ARV) medication within 24 hours after birth. However, many barriers prevent access to these medications immediately after delivery, for example, there is currently no suitable mechanism to preserve predosed ARVs in the home during the months before birth. In response to this, students of the Duke University developed the Pratt pouch, a foilized polyethylene packet designed to preserve predosed ARVs.This cross-sectional study presents the data from the first clinical trials of the Pratt pouch in Guayaquil, Ecuador.Fourteen HIV-positive mothers and nurses were observed using the pouch to deliver a dose of ARVs to an infant. Weight measurements, time, and notes on spillage were taken at each observation period. Successful usage was quantitatively assessed through the calculation of dosing accuracy based on the volume of liquid medication emptied from the pouch. Additionally, mothers were surveyed after a month of using the device at home to assess their perception of the accuracy, acceptability, and ease of use of the pouch. Used pouches were collected for physical analysis of tearing.Observed users delivered accurate doses (M = 101.1%, standard deviation = 8.2%) in an average time of 2.6 minutes. A total of 2869 used pouches were recovered. No seal failures or failed attempts at opening/delivering the pouches were observed or detected. Forty-three mothers were surveyed. All mothers (100%) reported that they were able to follow their physician's treatment plan, all pouches were received in good condition and the pictorial sheets provided clear instructions.We conclude that the Pratt pouch is a highly accurate and easy-to-use device for delivering liquid oral ARVs to infants and is appropriate for prepackaging ARVs for home use.
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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 | 0.001 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".