BibTex Citation Data :
@article{NMJN70345, author = {Rika Sarfika and Endang Martini and Siti Yuliharni and I Made Moh. Yanuar Saifudin}, title = {Key Predictors of Medication Adherence Among Pulmonary Tuberculosis Patients: A Cross-Sectional Study}, journal = {Nurse Media Journal of Nursing}, volume = {15}, number = {2}, year = {2025}, keywords = {Drug side effects; knowledge; medication adherence; support systems; tuberculosis}, abstract = { Background: Medication adherence remains a critical challenge in tuberculosis (TB) control, particularly in Indonesia, which ranks second globally in TB incidence. Most existing studies focus on single-factor analyses rather than a comprehensive multifactorial assessment of adherence predictors among Indonesian TB patients. Purpose: This study aimed to identify and quantify key predictors of medication adherence among diagnosed pulmonary tuberculosis patients with particular emphasis on sociodemographic factors, clinical variables, and psychosocial determinants. Methods: A cross-sectional study was conducted involving 150 pulmonary TB patients recruited through consecutive sampling. Data were collected using validated instruments, including the 8-item Morisky Medication Adherence Scale (MMAS-8) for adherence, the Knowledge About Tuberculosis Questionnaire (KATUB-Q) for TB knowledge, a structured questionnaire for drug side effects, the Treatment Motivation Questionnaire for motivation, the Multidimensional Scale of Perceived Social Support (MSPSS) for support systems, and the TB-related Stigma Scale for stigma measurement. Statistical analyses included descriptive statistics, Chi-square tests, and ordinal logistic regression to evaluate relationships between variables and adherence levels. Results: Only 20% of participants demonstrated high adherence, while 50.7% exhibited low adherence. Significant predictors of adherence included early adulthood (OR = 0.061, 95% CI 0.004−0.857, p = 0.038) and middle adulthood (OR = 0.052, 95% CI 0.005−0.565, p = 0.015), indicating lower adherence compared to late elderly. Other predictors were poor TB knowledge (OR = 0.316, 95% CI 0.154–0.650, p = 0.002), motivation (OR = 0.244, 95% CI 0.108–0.553, p < 0.001), family support (OR = 0.470, 95% CI 0.232–0.952, p = 0.036), healthcare worker support (OR = 0.349, 95% CI 0.204–0.840, p = 0.015), and drug side effects (OR = 5.294, 95% CI 2.134–13.126, p < 0.001). Younger adults showed lower adherence rates compared to older populations, while patients with better knowledge and stronger support systems demonstrated higher adherence. Conclusion: Key predictors of medication adherence were age, TB knowledge, motivation, family support, healthcare worker support, and drug side effects. Younger patients, those with poor knowledge, moderate motivation, inadequate support systems, and severe side effects demonstrated significantly lower adherence rates. These findings highlight the need for targeted, multifactorial interventions to improve TB treatment outcomes. }, issn = {2406-8799}, pages = {265--281} doi = {10.14710/nmjn.v15i2.70345}, url = {https://ejournal.undip.ac.id/index.php/medianers/article/view/70345} }
Refworks Citation Data :
Background: Medication adherence remains a critical challenge in tuberculosis (TB) control, particularly in Indonesia, which ranks second globally in TB incidence. Most existing studies focus on single-factor analyses rather than a comprehensive multifactorial assessment of adherence predictors among Indonesian TB patients.
Purpose: This study aimed to identify and quantify key predictors of medication adherence among diagnosed pulmonary tuberculosis patients with particular emphasis on sociodemographic factors, clinical variables, and psychosocial determinants.
Methods: A cross-sectional study was conducted involving 150 pulmonary TB patients recruited through consecutive sampling. Data were collected using validated instruments, including the 8-item Morisky Medication Adherence Scale (MMAS-8) for adherence, the Knowledge About Tuberculosis Questionnaire (KATUB-Q) for TB knowledge, a structured questionnaire for drug side effects, the Treatment Motivation Questionnaire for motivation, the Multidimensional Scale of Perceived Social Support (MSPSS) for support systems, and the TB-related Stigma Scale for stigma measurement. Statistical analyses included descriptive statistics, Chi-square tests, and ordinal logistic regression to evaluate relationships between variables and adherence levels.
Results: Only 20% of participants demonstrated high adherence, while 50.7% exhibited low adherence. Significant predictors of adherence included early adulthood (OR = 0.061, 95% CI 0.004−0.857, p = 0.038) and middle adulthood (OR = 0.052, 95% CI 0.005−0.565, p = 0.015), indicating lower adherence compared to late elderly. Other predictors were poor TB knowledge (OR = 0.316, 95% CI 0.154–0.650, p = 0.002), motivation (OR = 0.244, 95% CI 0.108–0.553, p < 0.001), family support (OR = 0.470, 95% CI 0.232–0.952, p = 0.036), healthcare worker support (OR = 0.349, 95% CI 0.204–0.840, p = 0.015), and drug side effects (OR = 5.294, 95% CI 2.134–13.126, p < 0.001). Younger adults showed lower adherence rates compared to older populations, while patients with better knowledge and stronger support systems demonstrated higher adherence.
Conclusion: Key predictors of medication adherence were age, TB knowledge, motivation, family support, healthcare worker support, and drug side effects. Younger patients, those with poor knowledge, moderate motivation, inadequate support systems, and severe side effects demonstrated significantly lower adherence rates. These findings highlight the need for targeted, multifactorial interventions to improve TB treatment outcomes.
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