Factors Associated with HIV-infected Mothers' Perceptions of and Reactions to, Infant Feeding Choices in South Africa.
Bibliographic record
Abstract
INTRODUCTION: As Prevention of mother-to-child transmission transitions towards universal combination antiretroviral therapy (cART), the incidence of breastfeeding is increasing and formula feeding decreasing for HIV-exposed infants in the Western Cape province of South Africa. In a prospective cohort study (the Mother-Infant Health Study) we are assessing infant feeding practices in HIV exposed infants. This sub-study assessed HIV infected mothers' perceptions of and reactions to feeding their infants. The aim of this study was to capture, from a phenomenological perspective, a socially constructed view of HIV infected mothers' lived experiences regarding feeding their infants. METHODS: Through application of Interactive Qualitative Analysis, two separate focus group discussions, a) breastfeeding mothers ( n = 7) and b) formula feeding mothers ( n = 8) were conducted to determine factors associated with their feeding experiences. The focus group discussions were conducted in November 2013. Mothers reflected on their thoughts, beliefs, and experiences regarding feeding their infants. In depth individual interviews ( n = 24) based on focus group responses were then conducted to explore the personal meaning, relevance, and life history examples of the themes with the mother.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".