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Record W1984606359 · doi:10.1016/j.ijgo.2009.06.014

Comparison of prenatal care coverage in early adolescents, late adolescents, and adult pregnant women in the Peruvian Amazon

2009· article· en· W1984606359 on OpenAlexaff
Julia A. Ryan, Martín Casapía, Eder Aguilar, Hermann Silva Delgado, Serene A. Joseph, Theresa W. Gyorkos

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2009
Typearticle
Languageen
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicinePrenatal carePregnancyDemographyYoung adultPediatricsObstetricsPopulationGerontologyEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare prenatal care coverage between adolescent (early and late) and adult pregnant women in Iquitos, Peru. METHODS: A random sample of 4467 birth records was collected. Multivariate analyses were performed to compare prenatal care coverage in all adolescent (10-14 years, 15-19 years) and adult (>or=20 years) age groups and then for primiparous women only. RESULTS: The mean number of visits was 5.0 for adolescents aged 10-14 years, 6.1 for adolescents aged 15-19 years, and 6.2 for women aged 20 years or older. For primiparous women, the means were 5.1, 6.2, and 6.8, for the respective age groups. Both the proportion attending and the number of prenatal visits were significantly lower in primiparous adolescents aged 10-14 years than in primiparous women aged 20 years or older (aOR 0.25; 95% CI, 0.10-0.62 and aRR 0.83; 95% CI, 0.74-0.94, respectively). CONCLUSION: All women attended prenatal care more frequently than the WHO's recommended 4 visits; however, early adolescents attended significantly less often than late adolescents or adult women. Further study of this inequality is warranted to adequately inform local health services.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.374
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2009
Admission routes1
Has abstractyes

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