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Effect of implementing educational program on pregnant women's knowledge, and practice regarding cervical cerclage

2023· article· en· W4380089268 on OpenAlexaff
Noha Abdalla, Hoda Abd-Elazim Mohamed, Ghada Abdelrahman Mahmoud

Bibliographic record

VenueInternational Journal of Obstetrics and Gynaecological Nursing · 2023
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsMedicineCervical cerclageCervical insufficiencyObstetricsInterviewEducational programPregnancyGynecologyFamily medicineGestation

Abstract

fetched live from OpenAlex

Cervical cerclage is the principal treatment for women with a history of cervical insufficiency. In general, there are three major cerclage types: prophylactic, therapeutic, and emergency. Aim of the study: To evaluate the effect of implementing an educational program on pregnant women's knowledge and practice regarding cervical cerclage.Research design: Quasi-experimental design was used. Setting: The study was conducted in outpatient departments at Minia university hospital for maternity and child health. Subjects: A purposive sample of one-hundred pregnant women who had undertaken cervical cerclage were recruited and divided equally into study and control groups using a simple random sample. Tools of data collection: Three tools were used: 1- A structured Interviewing Questionnaire, 2- knowledge Assessment, and 3- Assessment tool for practices. Results: The current study reveals; that most of the study and control groups respectively had poor knowledge regarding cervical cerclage pre-program, decreased post-program, and the minority of study and control groups had a satisfactory level of practice regarding cervical cerclage procedure pre-program, compared to most and minority of study and control groups had a satisfactory level of practice regarding cervical cerclage procedure post-program, respectively. Conclusion & Recommendation: Implementing the educational program effectively and significantly improved pregnant women's knowledge and practice regarding cervical cerclage. Women undergoing cervical cerclage should be provided with educational programming as part of their standard hospital care.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.378
Teacher spread0.358 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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