HUBUNGAN TINGKAT PENDIDIKAN DENGAN KEPATUHAN BEROBAT PENDERITA TB PARU DI WILAYAH KABUPATEN LAMONGAN PADA JANUARI 2016 – DESEMBER 2018
Bibliographic record
Abstract
AbstrakLatar Belakang: Indonesia menduduki peringkat ke-3 jumlah penderita Tuberkulosis (TB) terbanyak di dunia, serta angka kematian TB setiap tahunnya sekitar 20% dari jumlah penderita TB baru. Pengobatan pada TB paru rentan untuk terjadi putus berobat (drop out) yang bisa disebabkan oleh beberapa faktor, salah satunya adalah kepatuhan dalam berobat. Ketidakpatuhan terhadap pengobatan dapat disebabkan oleh berbagai faktor meliputi faktor predisposisi (Usia, jenis kelamin, tingkat pendidikan, dan pekerjaan), faktor pendorong (efek dari OAT), dan faktor penguat (dukungan keluarga, petugas kesehatan dan pelayanan kesehatan).Tujuan: Studi ini dilakukan untuk mengetahui adanya hubungan antara tingkat pendidikan dengan kepatuhan berobat penderita TB paru di Wilayah Kabupaten Lamongan.Metode: Studi ini menggunakan desain cross sectional dengan teknik pengambilan sampel yaitu simple random sampling pada 55 pasien TB paru drop out serta 55 pasien TB paru sembuh dari tahun 2016-2018 di Wilayah Kabupaten Lamongan. Pengambilan data menggunakan rekam medis dari Dinas Kesehatan.Hasil: Hasil uji statistik menggunakan Koefisien Kontingensi terhadap hubungan tingkat pendidikan dan kepatuhan berobat pada pasien TB menunjukkan nilai yang signifikan p: 0,026 (p<0,05)Kesimpulan: Hasil penelitian ini menunjukkan adanya hubungan antara tingkat pendidikan dengan kepatuhan berobat penderita TB paru.Kata Kunci : Tuberkulosis paru, Tingkat pendidikan, Kepatuhan berobat Abstract: Background: Indonesia ranks 3rd in the number of tuberculosis (TB) cases in the world, and the annual TB mortality rate is around 20% of the number of new TB cases. Treatment of pulmonary TB is prone to drop out, which can be caused by several factors, one of which is adherence to treatment. Non-adherence to treatment can be caused by various factors, including predisposing factors (age, gender, education level, and occupation), driving factors (effects of OAT), and reinforcing factors (family support, health workers and health services).Aim: This study was conducted to determine the relationship between education level and compliance with pulmonary tuberculosis treatment in Lamongan Regency.Methods: This study used a cross sectional design with a simple random sampling technique of 55 pulmonary TB patients dropping out and 55 pulmonary TB patients recovering from 2016-2018 in Lamongan Regency. Retrieving data using medical records from the Health Office.Results: The results of statistical tests using the Contingency Coefficient on the relationship between education level and treatment compliance in TB patients showed a significant value of p: 0.026 (p <0.05).Conclusion: The results of this study indicate a relationship between the level of education and adherence to treatment of pulmonary TB 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".