KNOWLEDGE OF PRIMIGRAVIDS IN THE THIRD QUARTER ABOUT THE SIGNS OF LABOR AT THE COMORO COMMUNITY HEALTH CENTER DILI TIMOR-LESTE, 2022
Bibliographic record
Abstract
Introduction: Survey of the Ministry of Health Demography from 2009 to 2010 maternal mortality rate in East Timor was 557/100,000 live births. The identified causes of maternal mortality were: postpartum hemorrhage (40.3%), eclampsia (29.9%), prolonged labor (25.6%) and puerperal infection (4.2%). Also, the home birth, with values of 78%, can cause high maternal mortality and morbidity. Prenatal monitoring allows monitoring fetal wellbeing, outwit situations of risk to the health of the mother and the newborn, identifying and treating conditions associated with pregnancy and prepare pregnant for healthy motherhood, through teaching and education for the health of all aspects involving the development of pregnancy, increasing their knowledge. Objectives: Analyzing the knowledge of primigravidae, about the signs and symptoms of labor assisted at the Comoro Community Health Center. Methods: Use a descriptive exploratory type and a quantitative approach. The sample of this study consisted of 50 respondents were in the third trimester of pregnancy, visited the Comoro Health Center from September 1st to December 31st, 2021. Use intentional sampling technique and data analysis use simple descriptive statistics and SPSS. Results: Majority of pregnant women assisted at the Community Health Center, know that the gestational age recommended for the 1st prenatal monitoring query is before 4 weeks (52%), and the number of recommended visits is four (34%). Majority of participants (98%) state that they want to give birth in health services with the help of the Midwife (70%), and recognize that birth at home without health personnel assistance, it's dangerous (92%). Conclusion: The knowledge of primigravid women about the signs of labor has many advantages because in this way it will be possible to reduce the mortality rate of mothers and the majority of primigravidae prefer to have labor and delivery at the Comoro Community Health Center (98%), Dili Timor-Leste, 2022.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".