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Record W4407397999 · doi:10.1016/j.eurox.2025.100373

Implementation of antepartum preterm birth interventions: A scoping review

2025· review· en· W4407397999 on OpenAlexaff
Etoroabasi Ekpe, Divya P. Mallampati

Bibliographic record

VenueEuropean Journal of Obstetrics & Gynecology and Reproductive Biology X · 2025
Typereview
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsPsychological interventionMedicineObstetricsNursing

Abstract

fetched live from OpenAlex

While antenatal recommendations regarding preterm birth are essential to preventing neonatal morbidity and mortality, implementation of these recommendations underscore how health system capacity and systemic factors, such as access and quality, greatly influence their utilization. To date, there is limited synthesis focused on the implementation of antenatal preterm birth interventions. Our objectives were to focus on implementation science studies intended to 1) increase referral mechanisms of pregnant people to higher levels of care where the management of preterm labor or delivery is possible and 2) map the implementation of preterm birth interventions, including the administration of antenatal corticosteroids, magnesium sulfate, and antibiotics. We conducted a scoping review using key terms in online databases to identify implementation science strategies focused on referral mechanisms and preterm birth interventions. Studies were selected based on the strength of existing literature. Quality assessment was conducted with the Mixed Methods Assessment Tool (MMAT). To evaluate study intervention strategies, we used the RE-AIM framework - a comprehensive evaluative framework composed of 5 dimensions: reach, effectiveness, adoption, implementation, and maintenance. Of the 1178 articles that were screened, 18 were evaluated, and 13 included in this review. The studies were conducted in 12 countries, the majority of which were lower to lower-middle income countries. Designs ranged from quantitative non-randomized studies to qualitative and mixed methods. By using the RE-AIM framework, we found that there was heterogeneity among the studies with regards to whether they addressed reach, effectiveness, adoption, implementation, or maintenance. Common interventions for referring pregnant women to higher levels of care included the use of skilled birth attendants, referral systems, financial incentives, quality of emergency obstetric care, and community health workers. Implementation studies on preterm birth interventions with corticosteroids or magnesium sulfate focused on increasing awareness and knowledge of evidence-based practices using care bundles, online or in person training sessions, focus groups, interviews, and surveys. Overall, we identified how implementation studies increased the use of antenatal corticosteroids and magnesium sulfate and also identified how community health workers, skilled birth attendants, and referral systems can reduce complications from preterm birth. With further review of implementation science research, implementation science can be used to further understand and integrate evidence based-knowledge into practice in a consistent and reproducible matter.

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)0.042
metaresearch head score (Gemma)0.132
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.042
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.132
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0080.008
Bibliometrics0.0180.019
Science and technology studies0.0020.002
Scholarly communication0.0070.004
Open science0.0030.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.061
GPT teacher head0.402
Teacher spread0.341 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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