Association of Structured Self-Talk Intervention Assignment with Short-Term Tuberculosis Medication Adherence: A Sequential Quantitative Study

Tiwik Eriskawati (1), Chatarina Umbul Wahyuni (2), Joko Prasetyo (3), Agustin Widyowati (4)
(1) Doctor of Public Health Program, Universitas STRADA Indonesia, Jawa Timur
(2) Doctor of Public Health Program, Universitas STRADA Indonesia, Jawa Timur
(3) Doctor of Public Health Program, Universitas STRADA Indonesia, Jawa Timur
(4) Doctor of Public Health Program, Universitas STRADA Indonesia, Jawa Timur
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Eriskawati, T., Chatarina Umbul Wahyuni, Joko Prasetyo, & Agustin Widyowati. (2026). Association of Structured Self-Talk Intervention Assignment with Short-Term Tuberculosis Medication Adherence: A Sequential Quantitative Study . Media Publikasi Promosi Kesehatan Indonesia, 9(10), 1779–1792. https://doi.org/10.56338/mppki.v9i10.10172

Introduction: Tuberculosis (TB) treatment requires sustained medication use, but adherence can be influenced by cognitive, psychosocial, and healthcare-related factors. Evidence on structured self-talk for supporting TB medication adherence remains limited. This study examined factors associated with adherence and whether assignment to the structured self-talk intervention was associated with short-term improvement in self-reported adherence.


Methods: A sequential quantitative design was used. Phase I included 117 patients with pulmonary TB in a cross-sectional study assessing TB knowledge, access to health facilities, self-efficacy, and family support. Phase II used a quasi-experimental pretest–posttest control-group design with 68 patients. Participants were allocated according to clinic attendance schedules. The structured self-talk intervention involved twice-weekly practice for 4 weeks. Phase I data were analysed using Spearman's rank correlation and binary logistic regression. Between-group changes in the study-specific modified 11-item medication adherence scores in Phase II were compared using the Mann–Whitney U test; ANCOVA was used for the adjusted analysis.


Results: In Phase I, TB knowledge, access to health facilities, self-efficacy, and family support were positively associated with medication adherence in bivariate analyses (all p < 0.001). After adjustment, only self-efficacy (OR = 2.34; 95% CI: 1.41–3.89) and family support (OR = 3.97; 95% CI: 2.16–7.31) remained significantly associated with good adherence. In Phase II, the primary non-parametric between-group analysis showed a Hodges–Lehmann location shift of 3.00 points (95% CI: 2.00–4.00; p < 0.001). ANCOVA yielded an adjusted between-group coefficient of 3.08 points for the post-intervention study-specific modified 11-item medication adherence score (95% CI: 1.85–4.31; p < 0.001).


Conclusion: Cognitive, psychosocial, and contextual factors were associated with TB medication adherence. Assignment to the structured self-talk intervention was associated with greater short-term improvement in self-reported adherence. However, interpretation should consider the non-randomised design, self-reported outcome measurement, and short follow-up period. Randomised studies with longer follow-up and objective adherence measures are warranted.

  1. World Health Organization. Global tuberculosis report 2025. Geneva: World Health Organization; 2025.
  2. Olowoyo KS, Esan DT, Olowoyo P, Oyinloye BE, Fawole IO, Aderibigbe S, et al. Treatment adherence and outcomes in patients with tuberculosis treated with telemedicine: a scoping review. Tropical Medicine and Infectious Disease. 2025;10(3):78. https://doi.org/10.3390/tropicalmed10030078
  3. Alipanah N, Jarlsberg L, Miller C, Linh NN, Falzon D, Jaramillo E, et al. Adherence interventions and outcomes of tuberculosis treatment: a systematic review and meta-analysis of trials and observational studies. PLoS Medicine. 2018;15(7). https://doi.org/10.1371/journal.pmed.1002595
  4. Mohamed MS, Zary M, Kafie C, Chilala CI, Bahukudumbi S, Foster N, et al. The impact of digital adherence technologies on treatment outcomes, adherence, and patient-reported outcomes in tuberculosis: a systematic review and meta-analysis. BMC Infectious Diseases. 2025;25:1314. https://doi.org/10.1186/s12879-025-11503-3
  5. Huda MH, Rahman MF, Zalaya Y, Mukminin MA, Purnamasari T, Hendarwan H, et al. A meta-analysis of technology-based interventions on treatment adherence and treatment success among TBC patients. PLoS One. 2024;19(12). https://doi.org/10.1371/journal.pone.0312001
  6. Indawati E, Kosasih CE, Haroen H, Anna A. Technology-integrated nursing interventions to improve adherence to tuberculosis medication: a scoping review. BMC Nursing. 2025;24:1160. https://doi.org/10.1186/s12912-025-03796-1
  7. Agus Z, Junadi P, Rusadi RA. Factors associated with anti-tuberculosis treatment non-adherence among tuberculosis patients: scoping review. Media Publikasi Promosi Kesehatan Indonesia. 2024;7(9):2273–2279. https://doi.org/10.56338/mppki.v7i9.5874
  8. Du L, Chen X, Zhu X, Zhang Y, Wu R, Xu J, et al. Determinants of medication adherence for pulmonary tuberculosis patients during continuation phase in Dalian, Northeast China. Patient Preference and Adherence. 2020;14:1119–1128. https://doi.org/10.2147/PPA.S243734
  9. Ileye UM, Odero VO, Hassan MS, Hossain MM. Determinants of tuberculosis treatment adherence among patients taking anti-TB drugs in Borama, Somaliland. BMC Public Health. 2025;25:3788. https://doi.org/10.1186/s12889-025-25151-4
  10. Müller AM, Osório CS, Silva DR, Sbruzzi G, Tarso P, Dalcin R. Interventions to improve adherence to tuberculosis treatment: systematic review and meta-analysis. International Journal of Tuberculosis and Lung Disease. 2018;22(7):731–740. https://doi.org/10.5588/ijtld.17.0596
  11. Getahun B, Nkosi ZZ. Is directly observed tuberculosis treatment strategy patient-centered? A mixed method study in Addis Ababa, Ethiopia. PLoS One. 2017;12(8). https://doi.org/10.1371/journal.pone.0181205
  12. Alichitgar E, Johari Fard R, Talebzadeh Shoushtari M, Yazdanpanah L. Improving treatment adherence and psychological well-being in patients with diabetes: the role of emotion-focused therapy. Journal of Clinical Research in Paramedical Sciences. 2025;14(1). https://doi.org/10.5812/jcrps-158691
  13. Zhang J, Hu J, Zheng Y, Dai T. Factors affecting medication adherence in patients with chronic diseases: a systematic literature review. Chinese General Practice Journal. 2025;2(3):100072. https://doi.org/10.1016/j.cgpj.2025.100072
  14. Addo J, Pearce D, Metcalf M, Lundquist C, Thomas G, Barros-Aguirre D, et al. Living with tuberculosis: a qualitative study of patients’ experiences with disease and treatment. BMC Public Health. 2022;22:1717. https://doi.org/10.1186/s12889-022-14115-7
  15. Satrio S, Hidayat Y, Asri T, Nuraeni H, Meilana A, Septiani E. Self-talk as a psychological strategy for enhancing student engagement in physical education: a systematic literature review. Jurnal Pendidikan Jasmani dan Olahraga. 2025;10(1):10–27. https://doi.org/10.17509/jpjo.v10i1.79965
  16. Soltani R, Shamsi M, Moradi A. Determine the factors that affected COVID-19 prevention behaviors based on constructs of social cognition theory. BMC Public Health. 2023;23:2312. https://doi.org/10.1186/s12889-023-17209-y
  17. Kim J, Kwon JH, Kim J, Kim EJ, Kim HE, Kyeong S, et al. The effects of positive or negative self-talk on the alteration of brain functional connectivity by performing cognitive tasks. Scientific Reports. 2021;11:14873. https://doi.org/10.1038/s41598-021-94328-9
  18. Choi YYC, Fineberg M, Kassavou A. Effectiveness of remote interventions to improve medication adherence in patients after stroke: a systematic literature review and meta-analysis. Behavioral Sciences. 2023;13(3):246. https://doi.org/10.3390/bs13030246
  19. Suprijandani S, Setiawan S, Pathurrahman P, Wardoyo S, Rahayyu AM. The behaviour of TB patients in East Lombok through a health belief model approach. Journal of Health, Population and Nutrition. 2025;44:23. https://doi.org/10.1186/s41043-025-00746-0
  20. Purwanti S, Saputra WNE. Self-talk speaks loud: a bibliometric dissection of its rise in counseling practices. Buletin Konseling Inovatif. 2025;5(3). https://doi.org/10.17977/um059v5i32025p293-303
  21. Thompson K, Kulkarni J, Sergejew AA. Reliability and validity of a new Medication Adherence Rating Scale (MARS) for the psychoses. Schizophrenia Research. 2000;42(3):241–247. https://doi.org/10.1016/S0920-9964(99)00130-9
  22. Chan AHY, Horne R, Hankins M, Chisari C. The Medication Adherence Report Scale: A measurement tool for eliciting patients' reports of nonadherence. British Journal of Clinical Pharmacology. 2020;86(7):1281–1288. https://doi.org/10.1111/bcp.14193
  23. Chauhan A, Parmar M, Dash GC, Chauhan S, Sahoo KC, Samantaray K, et al. Health literacy and tuberculosis control: systematic review and meta-analysis. Bulletin of the World Health Organization. 2024;102(6):421–431. https://doi.org/10.2471/BLT.23.290396
  24. Oh AL, Makmor-Bakry M, Islahudin F, Wong IC. Prevalence and predictive factors of tuberculosis treatment interruption in the Asia region: a systematic review and meta-analysis. BMJ Global Health. 2023;8. https://doi.org/10.1136/bmjgh-2022-010592
  25. Ariyanti F, Nurmansyah MI, Wardani RK, Zilhadia BK. The impact of health system responsiveness on tuberculosis treatment adherence in public primary healthcare facilities in Indonesia. Clinical Epidemiology and Global Health. 2025;34:102107. https://doi.org/10.1016/j.cegh.2025.102107
  26. Zawedde-Muyanja S, Manabe YC, Cattamanchi A, Castelnuovo B, Katamba A. Patient and health system level barriers to and facilitators for tuberculosis treatment initiation in Uganda: a qualitative study. BMC Health Services Research. 2022;22(1):831. https://doi.org/10.1186/s12913-022-08213-w
  27. Soylar P, Görnü B. The Mediating Role of Self-Efficacy Between Health Literacy and Chronic Disease Self-Management. European Journal of Public Health. 2025;35(Suppl 4).404. https://doi.org/10.1093/eurpub/ckaf161.404
  28. Riyadi S, Marmi M, Al Madury S, Farid M. Smoking cessation behavior among Madurese adolescents: the role of social capital and the Theory of Planned Behavior. Media Publikasi Promosi Kesehatan Indonesia. 2025;8(9):971–980. https://doi.org/10.56338/mppki.v8i9.7883
  29. Lutfian L, Azizah A, Wardika IJ, Wildana F, Maulana S, Wartakusumah R. The role of family support in medication adherence and quality of life among tuberculosis patients: a scoping review. Japan Journal of Nursing Science. 2025;22(1). https://doi.org/10.1111/jjns.12629
  30. Alinaitwe B, Shariff NJ, Boddupalli BM. Level of Family Support and Associated Factors Among Pulmonary Tuberculosis Patients in Eastern Uganda. A Baseline Cross-Sectional Study. Journal of Multidisciplinary Healthcare. 2025;18:2057–2073. https://doi.org/10.2147/JMDH.S511615
  31. Dana NR, Chiau ML, Rahman AD. Family support, motivation, and patient adherence to tuberculosis treatment: insights from Indonesia. African Journal of Infectious Diseases. 2025;19(2):43–49. https://doi.org/10.21010/Ajidv19i2.5
  32. Jeon HO, Chae MO, Kim A. Effects of medication adherence interventions for older adults with chronic illnesses: a systematic review and meta-analysis. Osong Public Health and Research Perspectives. 2022;13(5):328–340. https://doi.org/10.24171/j.phrp.2022.0168
  33. Meira OO, Silva LGR, Sales RF, Colodette RM, Pinto LBGF, Ferreira ES, et al. Effects of Communication Strategies on Treatment Adherence and Success in Tuberculosis: A Systematic Review and Meta-Analysis. Tropical Medicine & International Health. 2025;30(10):1053–1068. https://doi.org/10.1111/tmi.70013
  34. Bąk-Sosnowska M, Gruszczyńska M, Wyszomirska J, Daniel-Sielańczyk A. The Influence of Selected Psychological Factors on Medication Adherence in Patients with Chronic Diseases. Healthcare (Basel). 2022;10(3):426. https://doi.org/10.3390/healthcare10030426

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