EFEKTIFITAS MODUL DAN AUDIO VISUAL TERHADAP PENGETAHUAN TENTANG DETEKSI KANKER SERVIKS MELALUI METODE IVA PADA WUS SUKU TERASING DI WILAYAH KERJA PUSKESMAS TAMILOUW KABUPATEN MALUKU TENGAH
Bibliographic record
Abstract
Background: Cervical cancer is a type of cancer that 99.7% is caused by the oncogenic human papilloma virus (HPV), which attacks the cervix. The groups at risk for cervical cancer are women of childbearing age who engage in sexual activity at an early age, have many children and have poor reproductive health behavior. The habit of changing sexual partners is one of the main factors in transmitting the HPV virus. One of the "Pinamou" traditions, the isolated tribal community in the working area of the Tamilouw Health Center provides opportunities for adolescents to engage in sexual activity at an early age, marry/marry at an early age, the average number of children is more than four, giving birth with complications/bleeding. Therefore, it is necessary IVA examination for early detection of cervical cancer. Objective: The purpose of the study was to determine the effectiveness of audio-visual modules and media on knowledge about cervical cancer detection through the IVA method in Wus from isolated tribes. Methode: The research method is a quantitative research using a quasi-experimental design through a pretest posttest one group design approach. The number of samples used were 66 respondents with consecutive sampling technique that met the inclusion and exclusion criteria consisting of 33 respondents using modules and 33 respondents using audiovisual. Data were collected using a questionnaire and then analyzed descriptively using the Wilcoxon rank test formula and the Mann-Whitney test. Result: The results showed that health education using modules and audiovisuals had an effect on WUS knowledge about early detection of cervical cancer in the Tamilouw Health Center Work Area, and the use of audiovisuals was more effective than modules in increasing WUS knowledge. The cooperation of cadres and village officials is needed to disseminate information and knowledge to be followed up on VIA examinations in Health Services. Keywords: Audio visual; IVA; Module; Knowledge; WUS
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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 | 0.000 | 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) | 0.016 | 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".