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Record W2016523560 · doi:10.1136/jech-2013-202386.2

PREDICTORS OF PRENATAL SCREENING IN A LOW-SCREENING POPULATION

2013· article· en· W2016523560 on OpenAlexaffabout
Brandace Winquist, Nazeem Muhajarine

Bibliographic record

VenueJournal of Epidemiology & Community Health · 2013
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineEthnic groupPrenatal screeningPopulationPregnancyFamily medicinePrenatal carePrenatal diagnosisIdentification (biology)DemographyEnvironmental healthFetus

Abstract

fetched live from OpenAlex

Introduction New prenatal screening technologies have made it possible for a simple blood test to assist in the identification of several conditions in the fetus early in pregnancy. Given more information about the health status of the fetus, women are able to make decisions about whether to continue or terminate pregnancies affected by congenital anomalies. The reasons for choosing to screen or not to screen are as complex as each individual, but also depend on cultural, programmatic and system-level factors. As such, rates of uptake of prenatal screening vary widely by geographic location, and correlate to client and physician characteristics and value systems. The Saskatchewan Maternal Serum Screening (MSS) programme was implemented in 2001 offering the ‘triple marker screen’, but uptake has been consistently low when compared with other jurisdictions. For instance, in 2006, screening uptake was 63% in Ontario, 60% in Manitoba, 49% in British Columbia and 25% in Saskatchewan. Studies from other countries have shown that personal characteristics, such as maternal age, religious background, ethnicity and geographic location all predict MSS use to some extent. However, it is not known if similar factors influence the decision-making capacity of pregnant women in Canada. There is the perception by some Saskatchewan physicians that aboriginal women in the province accept MSS less often than non-aboriginal women. This is the first study in Canada to conduct a detailed exploration of the predictors of MSS uptake, while controlling for other covariates. Objectives To explore variations in utilisation of prenatal screening according to mothers' geographic location, ethnicity and age. Methods A 3-year subset (2002–2004) of a larger population-based, prospective, cohort study was used for the current analysis. Data were drawn from multiple sources, including Saskatchewan's administrative databases (hospital and physician billing), vital statistics, a provincial laboratory MSS data file, and cytogenetic laboratory data from the Saskatoon and Regina Qu'Appelle Health Regions. Pregnancies resulting in a live or stillbirth, or those that were terminated for congenital anomaly, were included in the current analysis, while elective medical or spontaneous abortions were excluded. χ2 Analysis was used to determine which variables to include in the multivariate model. Using Hosmer and Lemeshow's model building strategy, binary logistic regression was used to explore differences between women who had MSS and those who did not. Results A total of 35 515 pregnancies were included in analysis. Over the 3-year period, MSS uptake in Saskatchewan increased slightly from 21.2% to 25.8% of all births. Health region of residence, age group, registered Indian status, and year of MSS test were all significant predictors (p<0.001) for MSS. Significant interaction effects were found between age group and health region of residence (p<0.001), age group and registered Indian status (p=0.02), and health region of residence and registered Indian status (p=0.004). Conclusions The likelihood that women will have MSS increases with age; a gradient observed also for First Nations and rural women. However, screening rates were much lower in First Nations (compared with non-First Nations), and rural women (compared with urban) for all age groups considered. Interestingly, First Nations women living in an urban health region were more likely to screen than First Nations women living in a rural health region. Lower screening rates in First Nations and rural populations may reflect differences in personal value systems and/or in the way prenatal care is accessed and delivered. Differential uptake across populations is important to understand, because in some cases, MSS precipitates the termination of pregnancies affected by a congenital anomaly; a practice that has the potential to lower congenital anomaly prevalence and the infant mortality rate differentially across groups.

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 score0.153
Threshold uncertainty score0.305

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 studies0.0010.001
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 head0.083
GPT teacher head0.380
Teacher spread0.296 · 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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Citations0
Published2013
Admission routes2
Has abstractyes

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