Pengetahuan Bidan Mempengaruhi Praktik Bidan dalam Konseling Pemeriksaan IVA pada Wanita Usia Subur
Bibliographic record
Abstract
ABSTRACTPeer Midwive Knowledge Influencing Practice in Counseling About Examination Visual Inspection Of Acetic Acid On Couple Women Of Childbearing Age; Cervical cancer is becoming a disease number two killer of women in Indonesia, after breast cancer, it is due to 95% of HPV virus (Human Papiloma Virus). HPV infection went unnoticed until the disease reaches an advanced stage. If cancer is found at an early stage can be cured completely with the method IVA (Visual Inspection Acetic Acid) easier, screening can be performed with a wider scope. Cervical cancer cases in the Kendal district was increased in 2009 (3,31%), in 2010 (3,77%), in 2011 (4,45%), while decreasing IVA inspection visit in 2010 (4,34%), 2011 (4,33%), 2012 (3,96%). Therefore midwife in addition to providing health services can also provide counseling realization of behavior IVA test inspection. The purpose of this research is to analyzed the relationship of knowledge midwives with practice in counseling about examination visual inspection of acetic acid on couple women of childbearing age. Methods and design research is quantitative descriptive explanatory with correlative and cross sectional approach, using sampling saturated with 60 respondents by midwife that have trained in the Kendal district. The results from 9 variables majority age ≥41 years =66,7%, educatin majority of DI and D III =78,3%, the majority of the working time ≥10 years = 95%, approximately 55% majority of the knowledge and counseling practice the majority 73,3%. Chi square test shows that the relationship between knowledge with practice in counseling about examination visual inspection of acetic acid on couple women of childbearing age p value 0,000. Midwives is expected to increase their knowledge, so that it can perform well counseled about IVA to couples of reproductive age want to do test IVA.Keywords: Midwives, Knowledge, Counseling Practice, IVA.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".