Adherence to anti-tuberculosis treatments by patients using an instrument based on the health belief model

Authors

DOI:

https://doi.org/10.35816/jiksh.v15i2.405

Keywords:

tuberculosis, medication adherence, health belief model, psychometric assessment

Abstract

Introduction: Several studies report a persistently high rate of non-adherent patients globally, with tuberculosis patients failing to comply with prescribed regimens. Adherence rates often decline during advanced treatment phases due to patients feeling cured, treatment fatigue, or obstacles related to access and employment. The aim of the study was to compare TB patient’s adherence to treatment using two instruments: the researchers AMI-TB and the MMAS-8 questionnaire.

Research Methodology: This study employed a cross-sectional observational design with descriptive assessments using two adherence-related instruments. No intervention or repeated measurement was performed. The study population consisted of all registered patients diagnosed with tuberculosis undergoing anti-tuberculosis treatment, totaling 489 patients. A total of 148 respondents participated in this study using simple random sampling. Data were collected using the MMAS-8 and AMI-TB questionnaire. Data analysis included univariate and bivariate analyses using an independent t-test with a significance level of p < 0.05.

Results: The average treatment status measured using MMAS-8 was 6.48 (standard deviation = 1.48), and using AMI-TB was 59.13 (standard deviation = 4.13). A previously reported p value of 0.005 resulted from a raw-score comparison; this does not constitute a valid test of comparative adherence because the instruments have different score ranges and conceptual targets.

Conclusion: The findings describe adherence-related scores obtained using two conceptually different instruments in the participating tuberculosis services. MMAS-8 assesses self-reported medication-taking behavior, whereas AMI-TB addresses selected Health Belief Model perceptions. These results do not demonstrate superior validity, accuracy, or interchangeability of either instrument. Further study-specific reliability, construct validity, criterion validity, and clinical outcome analyses are needed before recommending routine comparative use. Questionnaires based on the health belief model can be used to measure TB patients' adherence to anti-tuberculosis treatment.

Downloads

Download data is not yet available.

References

Alipanah, N., Jarlsberg, L., Miller, C., Linh, N. N., Falzon, D., Jaramillo, E., & Nahid, P. (2018). Adherence interventions and outcomes of tuberculosis treatment: A systematic review and meta-analysis of trials and observational studies. PLOS Medicine, 15(7), e1002595. https://doi.org/10.1371/journal.pmed.1002595

Aminuddin, A., Collein, I., & Ismunandar, I. (2025). Development of a TB Treatment Compliance Instrument using the Health Belief Model. 19(1), 114–121. https://doi.org/10.33860/jik.v19i1.3883

Asrianto, L. O., Susliyanti Hasiu, T., Nusyuhada, W. O., Noor, A., & Harfan, D. (2026). Community-based social network analysis measuring tuberculosis control intervention impact: A quasi-experimental study. Jurnal Ilmiah Kesehatan Sandi Husada, 15(2 SE-Articles), 672–681. https://doi.org/10.35816/jiksh.v15i2.393

Azizi, N., Karimy, M., & Salahshour, V. (2018). Determinants of adherence to tuberculosis treatment in Iranian patients: Application of health belief model. Journal of Infection in Developing Countries, 12 9, 706–711. https://doi.org/10.3855/jidc.9653

Bahukudumbi, S., Chilala, C., Foster, N., Patel, B., Mohamed, M., Zary, M., Kafie, C., Gore, G., Schwartzman, K., Fielding, K., & Subbaraman, R. (2024). Contextual factors influencing implementation of tuberculosis digital adherence technologies: a scoping review guided by the RE-AIM framework. BMJ Global Health, 10. https://doi.org/10.1136/bmjgh-2024-016608

Bea, S., Lee, H., Kim, J., Jang, S., Son, H., Kwon, J., & Shin, J.-Y. (2021). Adherence and Associated Factors of Treatment Regimen in Drug-Susceptible Tuberculosis Patients. Frontiers in Pharmacology, 12. https://doi.org/10.3389/fphar.2021.625078

Burleson, J., Stephens, D., & Rimal, R. (2025). Adherence Definitions, Measurement Modalities, and Psychometric Properties in HIV, Diabetes, and Nutritional Supplementation Studies: A Scoping Review. Patient Preference and Adherence, 19, 319–344. https://doi.org/10.2147/ppa.s498537

Chakrabarti, S. (2014). What’s in a name? Compliance, adherence and concordance in chronic psychiatric disorders. World Journal of Psychiatry, 4 2, 30–36. https://doi.org/10.5498/wjp.v4.i2.30

De Oliveira-Filho, A. D., Morisky, D., Neves, S., Costa, F., & De Lyra, D. (2014). The 8-item Morisky Medication Adherence Scale: validation of a Brazilian-Portuguese version in hypertensive adults. Research in Social & Administrative Pharmacy : RSAP, 10 3, 554–561. https://doi.org/10.1016/j.sapharm.2013.10.006

Dinas Kesehatan Propinsi Sulawesi Tengah. (2024). Profil Kesehatan Propinsi Sulawesi Tengah Tahun 2024.

Dorman, S. E., Nahid, P., Kurbatova, E. V., Phillips, P. P. J., Bryant, K., Dooley, K. E., Engle, M., Goldberg, S. V., Phan, H. T. T., Hakim, J., Johnson, J. L., Lourens, M., Martinson, N. A., Muzanyi, G., Narunsky, K., Nerette, S., Nguyen, N. V., Pham, T. H., Pierre, S., … Chaisson, R. E. (2021). Four-Month Rifapentine Regimens with or without Moxifloxacin for Tuberculosis. New England Journal of Medicine, 384(18), 1705–1718. https://doi.org/10.1056/NEJMoa2033400

Gashu, K., Gelaye, K., & Tilahun, B. (2020). Adherence to TB treatment remains low during continuation phase among adult patients in Northwest Ethiopia. BMC Infectious Diseases, 21. https://doi.org/10.1186/s12879-021-06428-6

Gebreweld, F. H., Kifle, M., Gebremicheal, F. E., Simel, L. L., Gezae, M. M., Ghebreyesus, S. S., Mengsteab, Y. T., & Wahd, N. G. (2018). Factors influencing adherence to tuberculosis treatment in Asmara, Eritrea: a qualitative study. Journal of Health, Population, and Nutrition, 37. https://doi.org/10.1186/s41043-017-0132-y

Haldane, V., Zhang, Z., Ma, Q., Yin, T., Zhang, B., Li, Y., Pan, Q., Dainty, K. N., Rea, E., Pasang, P., Wei, X., & Hu, J. (2021). A qualitative study of perspectives on access to tuberculosis health services in Xigaze, China. Infectious Diseases of Poverty, 10(1), 28–39. https://doi.org/10.1186/s40249-021-00906-4

Julius, R., Novitsky, M., & Dubin, W. (2009). Medication Adherence: A Review of the Literature and Implications for Clinical Practice. Journal of Psychiatric Practice, 15, 34–44. https://doi.org/10.1097/01.pra.0000344917.43780.77

Kementerian Kesehatan Republik Indonesia. (2024). Survey Kesehatan Indonesia (SKI) tahun 2023 (Vol. 01).

Kwan, Y., Weng, S., Loh, D., Phang, J. K., Oo, L. J. Y., Blalock, D., Chew, E.-H., Yap, K., Tan, C., Yoon, S., Fong, W., Østbye, T., Low, L., Bosworth, H., & Thumboo, J. (2020). Measurement Properties of Existing Patient-Reported Outcome Measures on Medication Adherence: Systematic Review. Journal of Medical Internet Research, 22. https://doi.org/10.2196/19179

Moon, S., Lee, W.-Y., Hwang, J., Hong, Y., & Morisky, D. (2017). Accuracy of a screening tool for medication adherence: A systematic review and meta-analysis of the Morisky Medication Adherence Scale-8. PLoS ONE, 12. https://doi.org/10.1371/journal.pone.0187139

Myers, L., & Midence, K. (2020). Concepts and Issues in Adherence. https://doi.org/10.1201/9781003072348-2

Okello, S., Nasasira, B., Muiru, A., & Muyingo, A. (2016). Validity and Reliability of a Self-Reported Measure of Antihypertensive Medication Adherence in Uganda. PLoS ONE, 11. https://doi.org/10.1371/journal.pone.0158499

Ozaltun, S. C., & Akin, L. (2024). An Evaluation of Medication Adherence in New Tuberculosis Cases in Ankara: A Prospective Cohort Study. Healthcare, 12(23), 2353. https://doi.org/10.3390/healthcare12232353

Plakas, S., Mastrogiannis, D., Mantzorou, M., Adamakidou, T., Fouka, G., Bouziou, A., Tsiou, C., & Morisky, D. (2016). Validation of the 8-Item Morisky Medication Adherence Scale in Chronically Ill Ambulatory Patients in Rural Greece. Open Journal of Nursing, 06, 158–169. https://doi.org/10.4236/ojn.2016.63017

Pradipta, I., Houtsma, D., Van Boven, J., Alffenaar, J., & Hak, E. (2020). Interventions to improve medication adherence in tuberculosis patients: a systematic review of randomized controlled studies. NPJ Primary Care Respiratory Medicine, 30. https://doi.org/10.1038/s41533-020-0179-x

Prasetyo, Y. A., Thanasilp, S., & Preechawong, S. (2024). Adherence to treatment in pulmonary tuberculosis: Rodgers’ evolutionary concept analysis. Belitung Nursing Journal, 10(4), 368–377. https://doi.org/10.33546/bnj.3416

Rianto, L., Agustina, I., Alfian, S., Iskandarsyah, A., Pradipta, I., & Abdulah, R. (2024). Development and validation of a structured questionnaire for assessing risk factors of medication non-adherence among pulmonary tuberculosis patients in Indonesia. Frontiers in Pharmacology, 14. https://doi.org/10.3389/fphar.2023.1257353

Shringarpure, K., Gurumurthy, M., Sagili, K., Taylor, M., Garner, P., Tonsing, J., Rao, R., & Sachdeva, K. (2023). Patient adherence to tuberculosis treatment in the Indian subcontinent: systematic review and meta-synthesis of qualitative research. BMJ Open, 13. https://doi.org/10.1136/bmjopen-2022-063926

Singh, J., Alam, M., Malik, A., Tyagi, S., Tousib, M., Alam, N., Jain, A., & Paluck, P. (2021). Ways to Improve Medication Adherence in Chronic Disease Patients – A Review. Journal of Evolution of Medical and Dental Sciences. https://doi.org/10.14260/jemds/2021/644

Sulistyono, R. E., Susanto, T., & Tristiana, R. D. (2020). Patients Experience and Perception in Preventing Tuberculosis Transmission in Rural Areas: A Qualitative Research. Jurnal Keperawatan Padjadjaran, 8(1), 21–30. https://doi.org/10.24198/jkp.v8i1.1288

Suprapto, Yuriatson, Menga, M. K., Arda, D., Syamsi, N. L. N., Mulat, T. C., Djaha, Y. T., & Angreani, T. A. (2026). Strategies to improve health service quality in Indonesia: a qualitative study. BMC Health Services Research, 26(1), 1203. https://doi.org/10.1186/s12913-026-14221-x

Tola, H., Shojaeizadeh, D., Tol, A., Garmaroudi, G., Yekaninejad, M., Kebede, A., Ejeta, L. T., Kassa, D., & Klinkenberg, E. (2016). Psychological and Educational Intervention to Improve Tuberculosis Treatment Adherence in Ethiopia Based on Health Belief Model: A Cluster Randomized Control Trial. PLoS ONE, 11. https://doi.org/10.1371/journal.pone.0155147

Vrijens, B., Geest, S., Geest, S., Hughes, D., Przemyslaw, K., Demonceau, J., Ruppar, T., Ruppar, T., Dobbels, F., Fargher, E., Morrison, V., Lewek, P., Matyjaszczyk, M., Mshelia, C., Clyne, W., Aronson, J., & Urquhart, J. (2012). A new taxonomy for describing and defining adherence to medications. British Journal of Clinical Pharmacology, 73 5, 691–705. https://doi.org/10.1111/j.1365-2125.2012.04167.x

World Health Organization (WHO). (2022). WHO: operational handbook on tuberculosis. In Module 5: Management of tuberculosis in children and adolescents. https://apps.who.int/iris/bitstream/handle/10665/340256/9789240022614-eng.pdf

Xu, M., Markström, U., Lyu, J., & Xu, L. (2017). Detection of low adherence in rural tuberculosis patients in china: Application of morisky medication adherence scale. International Journal of Environmental Research and Public Health, 14(3). https://doi.org/10.3390/ijerph14030248

Yan, S., Zhang, S., Tong, Y., Yin, X., Lu, Z., & Gong, Y. (2018). Nonadherence to Antituberculosis Medications: The Impact of stigma and depressive symptoms. American Journal of Tropical Medicine and Hygiene, 98(1), 262–265. https://doi.org/10.4269/ajtmh.17-0383

Cover Image

Downloads

Published

02-11-2026

How to Cite

Aminuddin, A., Collein, I., & Ismunandar, I. (2026). Adherence to anti-tuberculosis treatments by patients using an instrument based on the health belief model. Jurnal Ilmiah Kesehatan Sandi Husada, 15(2), 741–751. https://doi.org/10.35816/jiksh.v15i2.405

Citation Check