Monitoring medication adherence using smart digital technology in patients with pulmonary tuberculosis


Submitted: 17 October 2023
Accepted: 16 May 2024
Published: 5 June 2024
Abstract Views: 65
PDF: 20
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Pulmonary tuberculosis cases can arise due to various factors, including treatment fatigue resulting from prolonged therapy, insufficient patient knowledge about the condition, geographical distance between patients’ residences and healthcare facilities, a lack of reminders from healthcare workers regarding medication adherence, and the perception that treatment provided at community health centers may be inadequate. This study aimed to investigate the effectiveness of digital smart applications in enhancing medication adherence among pulmonary tuberculosis patients. Utilizing a trial survey approach, the research focused on patients seeking treatment at the Surabaya Community Health Center. Smart digital applications were employed to monitor medication adherence, with patients inputting their data via cell phones. The study recorded data over one month and found that while some patients struggled to operationalize the smart digital application, many were able to utilize it effectively. Overall, the findings suggest that smart digital applications can be valuable tools for monitoring medication adherence among pulmonary tuberculosis patients, particularly for older adults.


Kemenkes RI. Laporan hasil riset kesehatan dasar (riskesdas) Indonesia tahun 2018. Riset Kesehatan Dasar. [Material in Indonesian].

Opperman M, Du Preez I. Factors contributing to pulmonary TB treatment lost to follow up in developing countries: an overview. African J Infect Dis 2023;17:60-73. DOI: https://doi.org/10.21010/Ajidv17i1.6

Putra ON, Yulistiani Y, Soedarsono S. Scoping review: QT interval prolongation in regimen containing bedaquiline and delamanid in patients with drug-resistant tuberculosis. Int J Mycobacteriol 2022;11:349-55. DOI: https://doi.org/10.4103/ijmy.ijmy_178_22

Zhang J, Yang Y, Qiao X, et al. Factors influencing medication nonadherence to pulmonary tuberculosis treatment in Tibet, China: a qualitative study from the patient perspective. Patient Prefer Adherence 2020;14:1149-58. DOI: https://doi.org/10.2147/PPA.S252448

Zahroh C, Ainiyah N, Saadah N, et al. Determinant of incompliance medication people with tuberculosis disease. Indian J Forensic Med Toxicol 2021;15:909-14.

Abqari U, van ’t Noordende AT, Richardus JH, et al. Strategies to promote the use of online health applications for early detection and raising awareness of chronic diseases among members of the general public: a systematic literature review. Int J Med Inform 2022;162:104737. DOI: https://doi.org/10.1016/j.ijmedinf.2022.104737

Dayer L, Heldenbrand S, Anderson P, et al. Smartphone medication adherence apps: potential benefits to patients and providers. J Am Pharm Assoc 2013;53:172-81. DOI: https://doi.org/10.1331/JAPhA.2013.12202

Dosi G, Pereira MC, Roventini A, Virgillito ME. Technological paradigms, labour creation and destruction in a multi-sector agent-based model. Res Policy 2022;51:104565. DOI: https://doi.org/10.1016/j.respol.2022.104565

Lepuen AP, Bratajaya CNA, Rasmada S. Tuberculosis cases finding practice: the intention of Cadres. J Keperawatan Indones 2020;23:128-35. DOI: https://doi.org/10.7454/jki.v23i2.1050

WHO. Primary health care on the road to universal health coverage: 2019 global monitoring report. Executive summary. Available from: https://www.who.int/publications/i/item/9789240029040.

Rahmadi C, Efendi F, Makhfudli M. The effect of reminder system and audio-visual education to improve treatment adherendce on pulmonary tuberculosis patients: a systematic review. Mal J Med Heal Sci 2023;19:145-55.

Zein RA, Suhariadi F, Hendriani W. Estimating the effect of lay knowledge and prior contact with pulmonary TB patients, on health-belief model in a high-risk pulmonary TB transmission population. Psychol Res Behav Manag 2017;10:187-94. DOI: https://doi.org/10.2147/PRBM.S134034

Goos M, Rademakers E, Roettger R. Routine-biased technical change: Individual-level evidence from a plant closure. Res Policy 2021;50:104002. DOI: https://doi.org/10.1016/j.respol.2020.104002

Nugrahaeni DK, Rosmalaningrum L. Risk factors in pulmonary tuberculosis treatment failure. Indones J Public Heal 2021;16:12. DOI: https://doi.org/10.20473/ijph.v16i1.2021.12-22

Sukartini T, Purwanti ND, Mariyanti H. Family health tasks implementation and medication adherence of pulmonary tuberculosis patients: a correlational study. J Ners 2020;15:49-58. DOI: https://doi.org/10.20473/jn.v15i1.8175

Putra IWGAE, Kurniasari NMD, Dewi NPEP, et al. The implementation of early detection in tuberculosis contact investigation to improve case finding. J Epidemiol Glob Health 2019;9:191-7. DOI: https://doi.org/10.2991/jegh.k.190808.001

Zachariah R, Spielmann MP, Harries AD, et al. Passive versus active tuberculosis case finding and isoniazid preventive therapy among household contacts in a rural district of Malawi. Int J Tuberc Lung Dis 2003;7:1033-9.

Gashu KD, Gelaye KA, Lester R, Tilahun B. Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: a randomised controlled trial. BMJ Heal Care Inform 2021;28:e100268. DOI: https://doi.org/10.1136/bmjhci-2020-100268

Banu S, Haque F, Ahmed S, et al. Social enterprise model (SEM) for private sector tuberculosis screening and care in Bangladesh. PLoS One 2020;15:e0241437. DOI: https://doi.org/10.1371/journal.pone.0241437

Eastment MC, McClintock AH, McKinney CM, et al. Factors that influence treatment completion for latent tuberculosis infection. J Am Board Fam Med 2017;30:520-7. DOI: https://doi.org/10.3122/jabfm.2017.04.170070

Wong YJ, Ng KY, Lee SWH. Digital health use in latent tuberculosis infection care: a systematic review. Int J Med Inform 2022;159:104687. DOI: https://doi.org/10.1016/j.ijmedinf.2022.104687

Sholikhah DU, Sari GM, Narendri CM, et al. The use of health technology to enhance the adherence of tuberculosis treatment: a systematic review. J Ners 2019;14:65-70. DOI: https://doi.org/10.20473/jn.v14i3.16982

Thoumrungroje A, Racela OC. Innovation and performance implications of customer-orientation across different business strategy types. J Open Innov Technol Mark Complex 2022;8:178. DOI: https://doi.org/10.3390/joitmc8040178

Setiyowati, E., Firdaus, F., Wardani, E. M., & Mulyadi, M. (2024). Monitoring medication adherence using smart digital technology in patients with pulmonary tuberculosis. Healthcare in Low-Resource Settings. https://doi.org/10.4081/hls.2024.11995

Downloads

Download data is not yet available.

Citations