Effectiveness of Health Coaching through TB Cards on Prevention of Tuberculosis Transmission
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Tuberculosis is the biggest infectious disease killer in the world and has long been faced by various countries, including Indonesia. Many TB prevention control programs have been implemented, but public compliance with preventing TB transmission is still low. The research aims to determine the effectiveness of health coaching through TB cards in preventing TB transmission. Quasi-experimental quantitative research design pre-post-test with control group. Purposive sampling technique. The number of respondents in the control and treatment groups was 15 each. Data analysis to measure the significance of the average difference between the 2 groups used the non-parametric Wilcoxon test and the Mann Whitney test. The results of statistical tests show that knowledge p value = 0.000, attitude p value = 0.000 and action p value = 0.000 (p < 0.005). Overall, the research shows that health education through TB cards is effective in increasing TB prevention behavior in the community. Structured and easily accessible information via the TB Card helps the public understand TB transmission, symptoms and preventive measures. Health guidance through TB cards also contributes to community empowerment.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it