AN ANALYSIS OF PREDISPOSING, ENABLING, AND REINFORCING FACTORS IN PREVENTING THE TRANSMISSION OF PULMONARY TUBERCULOSIS DISEASE ON PATIENTS’ RELATIVES IN TULUNGAGUNG REGENCY
Bibliographic record
Abstract
Tuberculosis (TB) is one of the major causes of death. In the report of Tuberculosis Global 2014 which was realeased by World Health Organization (WHO) stated that the incidence happened in Indonesia was 1 million new cases every year. The percentage of the cases in Indonesia is 10 percent from entire cases in the world, so as to be the most second cases country along with Tiongkok. The objective of this study is to know the effect of predisposing, enabling, and reinforcing factors towards the efforts in preventing the transmission of pulmonary TB diseases on patients’ relatives in Tulungagung regency.This study was non experimental quantitative research by using research design with Cross Sectional observation method. The samples this study were the relatives who have the most emotional closeness with the patient of pulmonary TB as much as 285 respondents. The data obtained through questionnaire then it was analyzed by using ordinal regression test. Based on the ordinal regression test which was conducted where ρ < 0,05, hence that there was the effect of gender on the prevention of pulmonary TB transmission in Tulungagung regency, the effect of educational level on the prevention of pulmonary TB transmission in Tulungagung regency, the effect of knowledge on the prevention of Pulmonary TB transmission in Tulungagung regency, the effect of dwelling density on the prevention of pulmonary TB transmission in Tulungagung regency and the effect of coaching officer on the prevention of Pulmonary TB transmission in Tulungagung regency. Improvement of guidance and quality of service in Pulmonary TB prevention program by involving the family is expected so the patient will do prevention effort to pulmonary tuberculosis disease to support local goverment effort in decreasing incidence of pulmonary TB generally and particularly maintain personal health to achieve health society which play an active role in national development.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".