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Record W2947793759 · doi:10.1093/pch/pxz066.152

153 Neonatal Outcomes of Inadequate Prenatal Care

2019· article· en· W2947793759 on OpenAlexaffabout
Ranu Malhi, Lisa Nussey, Samantha Krueger, Elizabeth K. Darling, Lucia Giglia, Sandra Seigel, Sarah Simpson, Rebecca Wasser, Andrea Hunter

Bibliographic record

VenuePaediatrics & Child Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster University
Fundersnot available
KeywordsLibrary scienceObstetrics and gynaecologyMedicinePregnancyComputer science

Abstract

fetched live from OpenAlex

Prenatal care (PNC) is a frequently accessed Canadian healthcare service, yet 5–20% of women obtain inadequate PNC. An understanding of neonatal outcomes associated with inadequate prenatal care will assist in developing appropriate guidelines for these at risk infants and identifying the importance of engaging hard-to-reach pregnant patients in healthcare. To compare neonatal outcomes of babies born to women who received no or inadequate prenatal care (IPNC) with those born to women who received adequate prenatal care (APNC). We conducted a retrospective matched cohort study with approval from our local research ethics committee. Neonates born at an inner-city hospital in 2016 to women with IPNC (≤4 antenatal visits, or first visit in 3rd trimester) were identified through retrospective chart review. APNC controls (≥5 prenatal visits and initial visit prior to third trimester), were matched 3:1 for age and parity. Seventy newborns were born to women with IPNC, and 210 maternal-matched controls were identified. The rate of preterm birth (<37wks GA) and small for gestational age (SGA) infants was higher in the IPNC group, 15/70 (23.4%) and 11/65 (16.9%) respectively, compared to 21/210 (10%) and 17/210 (8.10%) in the APNC group (p<0.01). The mean birthweight of IPNC newborns was 2972g (+/- 630g) vs 3375g (+/-554g) in controls. NICU admission was 27/70 (38%) for IPNC vs 23/210 (11%) for APNC (p<0.01). Neonatal abstinence syndrome (NAS) screening was done in 14/70 (20%) in the IPNC group and 4/210 (2%) of APNC group. Eleven (15.7%) of the newborns screened for NAS in the IPNC group vs 1(0.5%) in the APNC group required NICU admission for NAS and 3(4.3%) vs 0 required pharmacological treatment. Urine toxicology screen was done in 14 IPNC neonates -12 tested positive, with opiates (50%), cannabis (50%) and methamphetamines (33%) the commonest substances. In the IPNC group, 14 (20%) neonates were discharged via Child Protective Services care vs 2 (1%) in the APNC group (p<0.01). Inadequate prenatal care increases the risk of adverse neonatal outcomes, including prematurity, lower mean birthweight, SGA, and NICU admission. Neonates in the IPNC group were more likely to have had opioid exposure with subsequent NAS and to be discharged into the care of Child Protective Services. This study highlights the importance of identifying women at risk of IPNC and improving their engagement with healthcare teams.

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 score0.010
Threshold uncertainty score0.020

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.343
Teacher spread0.324 · 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

Citations3
Published2019
Admission routes2
Has abstractyes

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