FAKTOR - FAKTOR YANG MEMENGARUHI KEPATUHAN PENGOBATAN DIRECT ACTING ANTIVIRAL (DAA) PADA PASIEN HEPATITIS C DI PROVINSI LAMPUNG DENGAN PENDEKATAN \nHEALTH BELIEF MODEL (HBM)
Bibliographic record
Abstract
\nLatar Belakang : Hepatitis C merupakan masalah kesehatan dunia dan Indonesia, prevalensi Hepatitis C Indonesia merupakan peringkat ketiga tertinggi sebesar 1% dan prevalensi pada pengguna narkotika jarum suntik (penasun) merupakan peringkat pertama (63,5%) di South-East Asia Regional (SEAR). Hepatitis C juga sebagai penyakit kedelapan katastropik di Indonesia. Berkembangnya pengobatan Hepatitis C dengan Direct-Acting Antiviral (DAA) memberikan angka kesembuhan dan toleransi tinggi bagi pasien. Penelitian ini bertujuan untuk menganalisis faktorfaktor \n \nyang memengaruhi kepatuhan pengobatan pasien Hepatitis C di provinsi Lampung dengan pendekatan Health Belief Model (HBM). Subjek dan Metode Penelitian : Jenis penelitian analitik observasional di RSUD Dr Hi.Abdul Moeloek pada bulan desember 2022 dengan metode cross sectional, sampel 96 orang dipilih berdasarkan kriteria inklusi dan esklusi. Variabel dependen adalah kepatuhan DAA. Variabel independen adalah Perceived susceptibility, Perceived severity, Perceived benefits, Perceived barriers, Self efficacy, dukungan keluarga, dan akses layanan kesehatan. Pengumpulan data dengan kuesioner menggunakan analisis Path analysis. Hasil Penelitian : Kepatuhan pengobatan Direct-Acting Antiviral (DAA) dipengaruhi secara langsung dan positif oleh Perceived susceptibility (b=1,421 ; 95% CI= 0,332 to 2,510; p= 0,011) dan dukungan keluarga (p=1,307; 95% CI= 0,174 to 2,240; p= 0,024), sedangkan Perceived severity (p= 0,289), Perceived benefits (p= 0,178), Perceived barriers (p= 0,054), Self efficacy (p= 0,316), akses layanan kesehatan (p = 0,667) bukan faktor langsung yang memengaruhi kepatuhan pengobatan DAA. Pengetahuan bukan faktor tidak langsung yang memengaruhi kepatuhan DAA. Kesimpulan : Perceived susceptibility dan dukungan keluarga merupakan faktor langsung yang mempengaruhi kepatuhan pengobatan Direct Acting Antiviral (DAA) sedangkan Pengetahuan bukan faktor tidak langsung yang mempengaruhi kepatuhan pengobatan Direct Acting Antiviral (DAA). Kata kunci : DAA adherence, Perceived susceptibility, Perceived severity, perceived benefits, Perceived barriers, self-efficacy, family support, access to health servis. \n \nBackground : Hepatitis C is a health problem in the world including in Indonesia, Indonesia's Hepatitis C prevalence is the third highest (1%) and injecting drug users (IDU) is ranked first (63.5%) in the South-East Asia Regional (SEAR). It’s also the eighth catastrophic disease in Indonesia. The development of Hepatitis C treatment with Direct-Acting Antiviral (DAA) provides a high cure rate and tolerance for patients. This study aimed to examine the application of the Health Belief Model (HMB) on adherence to Direct-Acting Antiviral (DAA) therapy among Hepatitis C patients in Lampung province. Methods : This was a cross sectional study conducted at Dr. H.Abdul Moeloek Hospital, Lampung Province, on December 2022. A total sample of 96 Hepatitis C patients. The dependent variable was DAA adherence. The independent variables were Perceived susceptibility, Perceived severity, Perceived benefits, Perceived barriers, Self efficacy, Family support, Access to health services and knowledge. The data were collected using a questionnaire and analyzed by a path analysis. Results : Adherence directly increased with Perceived susceptibility (b= 1,421 ; 95% CI= 0,332 to 2,510; p= 0,011), and Family support (b= 1,307; 95% CI= 0,174 to 2,240; p= 0,024), but Perceived severity (p= 0.289), Perceived benefits (p= 0.178), Perceived barriers (p= 0.054) ), Self efficacy (p= 0.316), Access to health services (p= 0.667) were not direct factors affecting adherence. DAA adherence was not indirectly influenced by Knowledge. Conclusion : Perceived susceptibility and Family support directly affect the adherence to DAA therapy. Knowledge was not indirectly affect the adherence to DAA therapy \n Keywords : DAA adherence, health belief model, Path analysis \n
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".