Faktor-Faktor yang Memengaruhi Tingkat Depresi pada Pasien TB MDR yang Diberikan Terapi Sikloserin di RSD dr. Soebandi

Abstract

Background: Multi drug resistant tuberculosis (MDR TB) is a condition in which TB germs are resistant to isoniazid and rifampicin, the first line TB drugs. MDR TB patients are then treated with second line drugs, including cycloserine. Cycloserine treatment may cause depression. Various factors can increase person's risk of depression, including age, gender, occupation, education, BMI, comorbidities, and length of treatment. The purpose of this study was to determine what factors can affect the level of depression due to the use of cycloserine in MDR TB patients at dr. Soebandi Hospital. Method: The method used was observational analytic with a cross-sectional approach. The population was all MDR TB patients in dr. Soebandi Hospital in 2022-2024. Samples were taken with the accidental sampling technique of as many as 89 patients. The primary data was obtained from the Depression Anxiety Stress Scales (DASS 42) questionnaire, and secondary data was obtained from medical records. Data analysis was done using the chi-square test, and then the multivariate analysis was continued using ordinal logistic regression. Result: The bivariate test results showed that the variables that significantly influenced the level of depression were gender (p=0.011), education (p=0.000), occupation (p=0.037), BMI (p=0.000), and comorbidities (p=0.029). Multivariate tests showed that there were three variables that had a significant effect (p-value <0.05) on the level of depression, namely gender (p=0.047), occupation (p=0.001), and comorbidities (p=0.011). The top two dominant risk factors affecting the level of depression are occupation (OR=17,12) and comorbidities (OR=9,14). Conclusion: Based on these results, it can be concluded that the risk factors that influence the level of depression in MDR TB patients receiving cycloserine therapy are gender, education, occupation, body mass index (BMI), and comorbidities. The risk factors that most influence the level of depression are occupation and comorbidities.