HUBUNGAN ANTARA PERSEPSI ANCAMAN TERHADAP KESEHATAN DENGAN TINGKAT KEPATUHAN MINUM OBAT PADA PENDERITA TB PARU
Bibliographic record
Abstract
Pendahuluan : Keberhasilan pengobatan TBC sangat ditentukan oleh kepatuhan penderita minum obat secara teratur akan tetapi sebagian besar penderita berpresepsi bahwa penyakit TBC bukanlah penyakit yang berbahaya. Tujuan: Penelitian ini untuk mengetahui hubungan antara persepsi ancaman terhadap Kesehatan dengan tingkat kepatuhan minum obat pada penderita TBC di wilayah kerja UPT Puskesmas Babirik. Metode : Penelitian ini bersifat deskriptif analitik dengan desain Cross Sectional sebanyak 30 orang responden penderita TBC menggunakan metode total sampling. Instrumen menggunakan kuesioner ancaman yang telah dimodifikasi berjumlah 10 pernyataan dan kuesioner Morisky Medication Adherence Scale (MMAS) 8 pernyataan. Hasil : Penelitian ini menunjukkan bahwa ancaman kategori baik, yaitu sebanyak 21 orang (70.0%), kepatuhan paling banyak berada dalam kategori rendah yaitu sebanyak 17 orang (56.6%). Uji korelasi Spearman Rho didapatkan hasil p = 0,486 yaitu tidak ada hubungan yang signifikan antara persepsi ancaman terhadap kesehatan dengan tingkat kepatuhan minum obat pada penderita TBC di wilayah kerja UPT Puskesmas Babirik. Saran : Dapat dilakukan penelitian lain untuk mencari faktor yang berhubungan dengan kurangnya tingkat kepatuhan minum obat pada penderita TBC.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.014 | 0.002 |
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".