• Dede Nasrullah Departement of Nursing Faculty Health of Science University Muhammadiyah of Surabaya
  • Uswatun Hasanah Departement of Nursing Faculty Health of Science University Muhammadiyah of Surabaya
  • Idham Choliq Departement of Nursing Faculty Health of Science University Muhammadiyah of Surabaya
  • Ira Purnamasari Departement of Nursing Faculty Health of Science University Muhammadiyah of Surabaya
  • Firman Firman Departement of Nursing Faculty Health of Science University Muhammadiyah of Surabaya
  • Islam Syaifurrahman Magister of Nursing University Airlangga
  • Vika Fitriyani Departement of Nursing National Cheng Kung University




Adherence, Tuberculosis, Anti-tuberculosis drugs


Tuberculosis is one of the infectious diseases that causes many deaths in the world. One of the successes in reducing the death rate due to TB is with anti-tuberculosis treatment efforts. However, adherence to treatment is a serious problem because the results are still far from what is expected. The purpose of this study was to determine the level of adherence and what factors affect TB patients in treatment during the pandemic. This research was a descriptive analysis study with a cross-sectional approach. The number of samples was as high as 261 people. The measuring instrument used was the Medication Adherence Rating Scale (MARS). The validity and reliability showed that all questions were valid with a correlation value of > 0.396 and a Cronbach coefficient of 0.803. The results of the bivariate analysis showed that the factors influencing adherence to taking OAT in TB patients were age, education level, employment status, marital status, location of residence, and income level. Multiple logistic regression analysis showed the dominant factor having the most influence on compliance was the level of education. Respondents with a high school education level have a tendency to have a good compliance level of 22,077 times compared to respondents with a lower level of education.


Ambarwati, S.C & Perwitasari. D.Y, (2022). Compliance of taking anti-tuberculosis drugs in tuberculosis patients at several puskesmas in Sleman Regency, Journal Farmasi Klinik dan Sains (JFKS). Yogyakarta. 2(April 2020), 59–65. https://doi.org/10.26753/jfks.v2i1.732

Anggraini, A. D., Soedarsono, S., & Hidayati, L. (2020). The Effect of Psycho-education Based Audiovisual Program on Behavior Adherence for Preventing Tuberculosis Transmission. International Journal of Nursing and Health Services (IJNHS), 3(3), 351–357. https://doi.org/10.35654/ijnhs.v3i3.217

Bawonte, T. G., Mambo, C. D., & Masengi, A. S. R. (2021). Faktor-Faktor Yang Mempengaruhi Tuberculosis Multidrug Resistance (TB MDR). Jurnal E-Biomedik, 9(1), 117–125. https://doi.org/10.35790/ebm.v9i1.31949

Bea, S., Lee, H., Kim, J. H., Jang, S. H., Son, H., Kwon, J. W., & Shin, J. Y. (2021). Adherence and associated factors of treatment regimen in drug-susceptible tuberculosis patients. Frontiers in pharmacology, 12, 625078. https://doi.org/10.3389/fphar.2021.625078

Dinas Kesehatan Kota Surabaya. (2017). Profil Dinas Kesehatan Kota Surabaya. Dinas Kesehatan, 163.

Fang, X. H., Shen, H. H., Hu, W. Q., Xu, Q. Q., Jun, L., Zhang, Z. P., Kan, X. H., Ma, D. C., & Wu, G. C. (2019). Prevalence of and factors influencing anti-tuberculosis treatment non-adherence among patients with pulmonary tuberculosis: A cross-sectional study in Anhui Province, Eastern China. Medical Science Monitor, 25, 1928–1935. https://doi.org/10.12659/MSM.913510

Filardo, T. D., Feng, P., Pratt, R. H., Price, S. F., & Self, J. L. (2022). Tuberculosis — United States , 2021. 71(12).

Garfein, R. S., & Doshi, R. P. (2019). Synchronous and asynchronous video observed therapy (VOT) for tuberculosis treatment adherence monitoring and support. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases, 17, 100098. https://doi.org/10.1016/j.jctube.2019.100098

Harries, A. D., Kumar, A. M. V., Satyanarayana, S., Thekkur, P., Lin, Y., Dlodlo, R. A., Khogali, M., & Zachariah, R. (2020). The growing importance of tuberculosis preventive therapy and how research and innovation can enhance its implementation on the ground. Tropical Medicine and Infectious Disease, 5(2), 1–16. https://doi.org/10.3390/tropicalmed5020061

Kamilah, N., Pratiwi, I. N., Hidayati, L., & Smith, G. D. (2020). The effect of family psychoeducation on anxiety, support and self efficacy on the family of patients with tuberculosis. International Journal of Psychosocial Rehabilitation, 24(7). https://doi.org/10.37200/IJPR/V24I7/PR270850

Kemenkes RI. (2018). Tuberkulosis ( TB ). Tuberkulosis, 1(april), 2018. www.kemenkes.go.id

Kemenkes RI. (2020). Strategi Nasional Penanggulangan Tuberkulosis di Indonesia 2020-2024. Pertemuan Konsolidasi Nasional Penyusunan STRANAS TB, 135.

Kohler, S., Sitali, N., Achar, J., & Paul, N. (2022). The contribution of drug import to the cost of tuberculosis treatment: A cost analysis of longer, shorter, and short drug regimens for Karakalpakstan, Uzbekistan. PLOS Global Public Health, 2(8), e0000567.

Kumwichar, P., Chongsuvivatwong, V., & Prappre, T. (2021). Development of a video-observed therapy system to improve monitoring of tuberculosis treatment in Thailand: Mixed-methods study. JMIR Formative Research, 5(7), 1–9. https://doi.org/10.2196/29463

Lewinsohn, D. M., Leonard, M. K., Lobue, P. A., Cohn, D. L., Daley, C. L., Desmond, E., Keane, J., Lewinsohn, D. A., Loeffler, A. M., Mazurek, G. H., O’Brien, R. J., Pai, M., Richeldi, L., Salfinger, M., Shinnick, T. M., Sterling, T. R., Warshauer, D. M., & Woods, G. L. (2017). Official American Thoracic Society/Infectious Diseases Society of America/Centers for Disease Control and Prevention Clinical Practice Guidelines: Diagnosis of Tuberculosis in Adults and Children. Clinical Infectious Diseases, 64(2), e1–e33. https://doi.org/10.1093/cid/ciw694

Mirsaeidi, M., Farshidpour, M., Banks-Tripp, D., Hashmi, S., Kujoth, C., & Schraufnagel, D. (2015). Video directly observed therapy for treatment of tuberculosis is patient-oriented and cost-effective. European Respiratory Journal, 46(3), 871–874. https://doi.org/10.1183/09031936.00011015

Morris, M. D., Moser, K., & Laniado-laborin, R. (2016). Social, economic, and psychological impacts of MDR-TB treatment in Tijuana, Mexico : A patients perspective social, economic, and psychological impacts of MDR-TB. Research Gate, 17(July 2013), 954–960.


Pribadi, S., Langitan, A., & Anggara, A. (2020). Manajemen limfadenitis tuberkulosis. Jurnal Medical Profession (MedPro), 2(3), 182–185.

Ravenscroft, L., Kettle, S., Persian, R., Ruda, S., Severin, L., Doltu, S., Schenck, B., & Loewenstein, G. (2020). Video observed therapy (VOT) and medication adherence for TB patients: RCT in Moldova. European Respiratory Journal, 2000493.

Tsui, J. I., Leroux, B. G., Radick, A. C., Schramm, Z. A., Blalock, K., Labelle, C., Heerema, M., Klein, J. W., Merrill, J. O., Saxon, A. J., Samet, J. H., & Kim, T. W. (2021). Video directly observed therapy for patients receiving office-based buprenorphine – A pilot randomized controlled trial. Drug and Alcohol Dependence, 227(July), 108917. https://doi.org/10.1016/j.drugalcdep.2021.108917

Xing, W., Zhang, R., Jiang, W., Zhang, T., Pender, M., Zhou, J., & Li, Y. (2021). Adherence to multidrug resistant tuberculosis treatment and case management in Chongqing, China–a mixed method research study. Infection and Drug Resistance, 14, 999. https://doi.org/ 10.2147/IDR.S293583

Wang, N., Zhang, H., Zhou, Y., Jiang, H., Dai, B., Sun, M., Li, Y., Kinter, A., & Huang, F. (2019). Using electronic medication monitoring to guide differential management of tuberculosis patients at the community level in China. BMC Infectious Diseases, 19(1), 1–9. https://doi.org/10.1186/s12879-019-4521-2

WHO. (2021). Digital Health for the End Tb Strategy: an Agenda for Action. Who, 24. https://www.who.int/cancer/en/

WHO. (2018). TB burden report 2018. In World Health Organization (Vol. 63, Issue 10). https://apps.who.int/iris/handle/10665/274453

Zhang, R., Pu, J., Zhou, J., Wang, Q., Zhang, T., Liu, S., ... & Li, Y. (2022). Factors predicting self-report adherence (SRA) behaviours among DS-TB patients under the “Integrated model”: a survey in Southwest China. BMC Infectious Diseases, 22(1), 1-11.







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