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Record W2944593663 · doi:10.1186/s12884-019-2309-4

Factors associated with the timing of the first prenatal ultrasound in Canada

2019· article· en· W2944593663 on OpenAlexafffundabout
Peri Abdullah, Christine Kurtz Landy, Hugh McCague, Alison Macpherson, Hala Tamim

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2019
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsYork University
FundersYork University
KeywordsMedicinePrenatal carePregnancyObstetricsUltrasoundReproductive medicineDemographyCross-sectional studyLogistic regressionMultinomial logistic regressionGynecologyPopulationInternal medicineEnvironmental health

Abstract

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BACKGROUND: The aim of this study was to investigate the factors associated with the timing of the first prenatal ultrasound in Canada. METHODS: This was a secondary data analysis of the Maternity Experiences Survey, a cross-sectional survey covering different aspects of pregnancy, labour, birth and the post-partum period. Bivariate and multivariate multinomial logistic regressions were performed to assess the relationship between timing of first prenatal ultrasound and different independent variables. RESULTS: 68.4% of Canadian women received an optimally timed first prenatal ultrasound, 27.4% received early ultrasounds and 4.3% received late ultrasound. The highest prevalence of early ultrasound was in Ontario (33.3%) and the lowest was in Manitoba (13.3%). The highest prevalence of late ultrasound was found in Manitoba (12.1%) and the lowest was in British Columbia and Ontario (3.5% each). The highest prevalence of optimal timing of first prenatal ultrasound was in Quebec (77%) and the lowest was in Ontario (63.2%). Factors influencing the timing of ultrasound included: Early - maternal age < 20 (adjusted OR = 0.54, 95%CI:0.34-0.84), alcohol use during pregnancy (adjusted OR = 0.69, 95%CI:0.53-0.90), history of premature birth (adjusted OR = 1.41, 95%CI:1.06-1.89), multiparity (adjusted OR = 0.67, 95%CI:0.57-0.78), born outside of Canada (adjusted OR = 0.82, 95%CI:0.67-0.99), prenatal care in Newfoundland and Labrador (adjusted OR = 1.66, 95%CI:1.20-1.30), Nova Scotia (adjusted OR = 1.68, 95%CI:1.25-2.28), Ontario (adjusted OR = 2.16, 95%CI:1.76-2.65), Saskatchewan (adjusted OR = 1.50, 95%CI:1.05-2.14), Alberta (adjusted OR = 1.37, 95%CI:1.05-1.77) British Columbia (adjusted OR = 1.90, 95%CI:1.45-2.50) and Manitoba (adjusted OR = 0.66, 95%CI:0.45-0.98) Late - unintended pregnancy (adjusted OR = 1.89, 95%CI:1.38-2.59), born outside of Canada (adjusted OR = 1.75, 95%CI:1.14-2.68), prenatal care in Manitoba (adjusted OR = 2.88, 95%CI:1.64-5.05) and the Territories (adjusted OR = 4.50, 95%CI:2.27-8.93). An interaction between history of miscarriage and having 'other' prenatal care provider significantly affected timing of ultrasound (adjusted OR = 0.31, 95%CI:0.14-0.66). CONCLUSION: Only 68% of Canadian women received an optimally timed prenatal ultrasound which was influenced by several factors including province of prenatal care, maternal age and country of birth, and an interaction effect between prenatal care provider and history of miscarriage. These findings establish a baseline of factors influencing the timing of prenatal ultrasound in Canada, which can be built upon by future studies.

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)0.006
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 score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.195
Teacher spread0.181 · 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".

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Citations19
Published2019
Admission routes3
Has abstractyes

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