Factors affecting antenatal care attendance by mothers of Pacific infants living in New Zealand.
Bibliographic record
Abstract
AIMS: To describe antenatal care attendance by mothers of Pacific infants recently delivered at Middlemore Hospital, South Auckland and to examine the demographic and psychosocial factors associated with late initiation of care and inadequate attendance. METHODS: The data were gathered as part of the Pacific Islands Families: First Two Years of Life (PIF) Study in which 1365 birth mothers in the cohort (n=1376) were interviewed when their infants were six weeks old about their antenatal care attendance. RESULTS: Almost all (99.1%) mothers attended antenatal care at least once. Over a quarter (26.6%) initiated their antenatal care late, and 10.7% attended fewer than the recommended number of times. Maternal factors significantly associated with late initiation of antenatal care were high parity, first pregnancy, not being employed prior to pregnancy and Cook Island Maori ethnicity. Factors associated with inadequate attendance were reaction to the pregnancy and being employed prior to pregnancy. CONCLUSIONS: A significant proportion of mothers of Pacific infants reported initiating antenatal care later than the first trimester and attending fewer antenatal visits than recommended. These findings indicate that the importance of antenatal care needs to be promoted among Pacific communities.
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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 | 0.000 | 0.003 |
| 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) | 0.001 | 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".