Educational program about Rubella among pregnant women attending antenatal clinic in Women’s Health Hospital, Assiut University, Egypt
Bibliographic record
Abstract
Background and objective: Rubella or German measles is infectious disease that affects both child and adult, but when associated with pregnancy, especially in first trimester, fetus can be exposed to various problems as abortion, multiple birth defects, and congenital rubella syndrome (CRS). This study aimed to assess awareness of pregnant women about rubella and to identify the impact of an educational program about rubella for pregnant women attending antenatal outpatient clinic in Women’s Health Hospital, Assiut University, Egypt.Methods: Quasi-experimental research design was carried out included 300 pregnant women in their first trimester. Direct interview using a semi-structured questionnaire which involved two parts: part (1) included personal data, family, and medical history, and part (2) involved questions directed to pregnant women to assess their knowledge about rubella. An educational program was applied on women as an intervention by session meeting classes. The data of knowledge were collected after the intervention then analyzed.Results: More than one third (38%) of the studied pregnant women were 25-30 years. The mean score of knowledge regarding rubella among pregnant women was 5.83 ± 2.48 in the pretest which improved significantly in the posttest to 20.07 ± 1.86.Conclusions and recommendations: The results revealed lack of awareness regarding rubella among studied women which increased after the application of the educational program. It is important to increase the availability of antenatal care services and provide adequate counseling for women before pregnancy about Rubella infection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".