Hubungan Efektivitas Pengawas Menelan Obat (PMO) dengan Keberhasilan Pengobatan Penderita TB Paru di Puskesmas Padasuka Bandung Tahun 2014
Bibliographic record
Abstract
AbstrakLatar belakang : Penyakit Tuberkulosis Paru (TB Paru) adalah suatu penyakit infeksi kronik yang mengenai jaringan paru yang disebabkan oleh kuman Mycobacterium tuberculosis dan penyakit ini dapat menyebabkan kecacatan fisik dan sosial serta dapat mempengaruhi kehidupan sosial ekonomi penderita. Penelitian ini bertujuan untuk mengetahui hubungan efektifitas Pengawas Menelan Obat (PMO) dengan keberhasilan pengobatan penderita TB Paru di wilayah kerja Puskemas Padasuka Bandung.Metode : Penelitian ini adalah penelitian deskriptif analitik dengan pendekatan cross-sectional. Populasi dalam penelitian ini adalah penderita TB Paru BTA (+) yang memiliki PMO dan telah menjalani pengobatan 6 bulan dengan jumlah 40 responden menggunakan Teknik Total Sampling. Penelitian ini dilakukan di wilayah kerja Puskemas Padasuka Bandung Tahun 2014.Hasil : Dari 40 responden sebagian besar yaitu 31 (77.5%) efektif dalam pengawasan menelan obat dan 26 responden (65%) berhasil (sembuh). Hasil analisa menunjukkan ada hubungan yang signifikan antara efektifitas pengawas menelan obat (PMO) dengan kesembuhan penderita TB paru ( Pvalue = 0,002, nilai POR = 9,341).Kesimpulan : Ada hubungan yang signifikan antara efektifitas kegiatan PMO dengan keberhasilan pengobatan penderita TB paru Abstract Background: Pulmonary TB is a chronic infectious disease affecting the lung tissue caused by Mycobacterium tuberculosis, and the disease can lead to physical disability and social development and can affect the social and economic life of the patient. This study aims to determine the relationship of the effectiveness of the Supervisory Swallowing Drugs to the successful treatment of pulmonary TB patients in the region of Puskemas Padasuka Bandung. Methods: The study was a descriptive analytic research with cross-sectional approach. The population in this study are patients with TB BTA (+) which has been undergoing treatment PMO and 6 months with the number of 40 respondents using total sampling technique. This research was conducted in the working area Puskemas Padasuka Bandung 2014. Results: Of the 40 respondents most of which 31 (77.5%) effective in monitoring dope and 26 respondents (65%) managed (cured). The analysis shows no significant correlation between the effectiveness of a treatment supporter (PMO) to cure pulmonary tuberculosis patients (pvalue = 0.002, the value of POR = 9.341).Conclusion: there is a significant correlation between the effectiveness of the PMO with the successful treatment of pulmonary tuberculosis patients.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".