Analisis Tingkat Kepatuhan Penggunaan Obat Anti Tuberkulosis di Puskesmas Kota Denpasar

Tuberculosis (TB) remains a serious health problem in Indonesia, including Bali with Denpasar City having the highest TB cases. Adherence to anti-tuberculosis drugs (ATD) is an important factor in the success of TB treatment. This study aims to analyze the level of ATD adherence among TB patients at Community Health Centers in Denpasar City. The research method used a cross-sectional design with consecutive sampling technique. A total of 38 respondents were obtained from South Denpasar 1 and West Denpasar 2 Community Health Centers in February-March 2025. Data collection used the Probabilistic Medication Adherence Scale (ProMAS) questionnaire. The results showed that the majority of respondents had high adherence levels (86.8%) and medium-high (13.2%). No respondents with low or medium-low adherence levels were found. Based on demographic characteristics, respondents were dominated by the 46-55 age group (26.3%), male (57.9%), self-employed (31.6%), married status (71.1%), having treatment supervisors (92.1%), and in the continuation phase of treatment (55.3%). Chi-square statistical analysis showed no significant relationship between demographic characteristics and ATD adherence levels. The level of ATD adherence at Community Health Centers in Denpasar City is relatively high, indicating the successful implementation of the DOTS strategy.

Authors

Institutions

Publication Details

Journal
Ranah Research Journal of Multidisciplinary Research and Development
Published
2025-06-30
DOI
https://doi.org/10.38035/rrj.v7i5.1679
Primary Topic
Public Health and Nutrition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analisis Tingkat Kepatuhan Penggunaan Obat Anti Tuberkulosis di Puskesmas Kota Denpasar

Ni Made Rizma Frida Yanthi, Sagung Chandra Yowani
Ranah Research Journal of Multidisciplinary Research and Development
Public Health and Nutrition
article

Analisis Tingkat Kepatuhan Penggunaan Obat Anti Tuberkulosis di Puskesmas Kota Denpasar

Ni Made Rizma Frida Yanthi, Sagung Chandra Yowani
article en

Abstract

Tuberculosis (TB) remains a serious health problem in Indonesia, including Bali with Denpasar City having the highest TB cases. Adherence to anti-tuberculosis drugs (ATD) is an important factor in the success of TB treatment. This study aims to analyze the level of ATD adherence among TB patients at Community Health Centers in Denpasar City. The research method used a cross-sectional design with consecutive sampling technique. A total of 38 respondents were obtained from South Denpasar 1 and West Denpasar 2 Community Health Centers in February-March 2025. Data collection used the Probabilistic Medication Adherence Scale (ProMAS) questionnaire. The results showed that the majority of respondents had high adherence levels (86.8%) and medium-high (13.2%). No respondents with low or medium-low adherence levels were found. Based on demographic characteristics, respondents were dominated by the 46-55 age group (26.3%), male (57.9%), self-employed (31.6%), married status (71.1%), having treatment supervisors (92.1%), and in the continuation phase of treatment (55.3%). Chi-square statistical analysis showed no significant relationship between demographic characteristics and ATD adherence levels. The level of ATD adherence at Community Health Centers in Denpasar City is relatively high, indicating the successful implementation of the DOTS strategy.

Ranah Research Journal of Multidisciplinary Research and DevelopmentVol. 7(5)
Udayana University (ID)
Openalex Percentile: Top 78%
Public Health and Nutrition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.