Evaluasi Digital Adherence Technology Berbasis Kode QR (Q-Monte) untuk Pemantauan Kepatuhan Pengobatan Tuberkulosis

Penulis

  • Farid Zulkarnain Nur Syah D-III Farmasi, Politeknik Kesehatan Putra Indonesia Malang, Malang, Indonesia
  • Noor Annisa Susanto D-III Farmasi, Politeknik Kesehatan Putra Indonesia Malang, Malang, Indonesia
  • Akhmad Zainuri Teknik Elektro, Universitas Brawijaya, Malang, Indonesia

DOI:

https://doi.org/10.54445/pharmademica.v5i2.160

Abstrak View:

163

PDF downloads:

84

Kata Kunci:

Tuberkulosis, kepatuhan pengobatan, Q-Monte, kode QR, System Usability Scale

Abstrak

Kepatuhan pengobatan tuberkulosis (TB) merupakan faktor penting dalam keberhasilan terapi, namun pemantauannya masih menjadi tantangan di fasilitas pelayanan kesehatan primer. Digital adherence technology (DAT) menawarkan pendekatan alternatif untuk memantau kepatuhan pasien secara lebih efisien. Penelitian ini bertujuan mengevaluasi kelayakan awal penggunaan sistem DAT berbasis kode QR (Q-Monte) untuk pemantauan kepatuhan pengobatan TB di puskesmas. Penelitian ini merupakan pilot feasibility study dengan pendekatan observasional prospektif yang melibatkan 30 pasien TB rawat jalan di dua puskesmas di Kabupaten Malang. Subjek dipilih menggunakan teknik purposive sampling dengan kriteria inklusi: pasien TB berusia ≥12 tahun, menjalani terapi oral obat antituberkulosis, memiliki smartphone berbasis Android dan nomor WhatsApp aktif, serta bersedia dipantau selama 30 hari. Pasien dengan ko-infeksi HIV, TB resisten obat (TB-MDR), berpindah fasilitas kesehatan selama periode observasi, atau memiliki komorbid stroke dieksklusi. Mayoritas subjek berjenis kelamin laki-laki (56,7%), berusia 45–54 tahun (30,0%), berpendidikan SMA/K (50,0%), dan tidak memiliki komorbid (80,0%). Kepatuhan diukur berdasarkan persentase hari dengan pemindaian kode QR, sedangkan kegunaan sistem dinilai menggunakan System Usability Scale (SUS). Hasil menunjukkan rata-rata kepatuhan pemindaian kode QR selama 30 hari sebesar 90,3%, dengan 46,7% pasien melaporkan pernah mengonsumsi obat tanpa melakukan pemindaian. Evaluasi kegunaan sistem menunjukkan skor SUS rata-rata 75,7 (kategori B). Temuan ini menunjukkan bahwa Q-Monte layak digunakan sebagai alat pemantauan kepatuhan pengobatan TB di fasilitas pelayanan kesehatan primer, meskipun optimalisasi dukungan teknis dan edukasi pengguna masih diperlukan untuk meningkatkan keandalan pencatatan kepatuhan digital.

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Referensi

AlSahafi, A. J., Shah, H. B. U., AlSayali, M. M., Mandoura, N., Assiri, M., Almohammadi, E. L., Khalawi, A., AlGarni, A., Filemban, M. K., AlOtaibe, A. K., AlFaifi, A. W. A., & AlGarni, F. (2019). High non-compliance rate with anti-tuberculosis treatment: A need to shift facility-based directly observed therapy short course (DOTS) to community mobile outreach team supervision in Saudi Arabia. BMC Public Health, 19(1), 1168. https://doi.org/10.1186/s12889-019-7520-8

Areas, T., Diniz, B. D., Odutola, P., Dantas, C. R., De Freitas, M. C. F. L. C., Hefford, P. M., & Bes, T. M. (2024). Video-observed therapy (VOT) vs directly observed therapy (DOT) for tuberculosis treatment: A systematic review on adherence, cost of treatment observation, time spent observing treatment and patient satisfaction. PLOS Neglected Tropical Diseases, 18(10), e0012565. https://doi.org/10.1371/journal.pntd.0012565

Burzynski, J., Mangan, J. M., Lam, C. K., Macaraig, M., Salerno, M. M., deCastro, B. R., Goswami, N. D., Lin, C. Y., Schluger, N. W., Vernon, A., eDOT Study Team, Bamrah-Morris, S., Bowers, S., Carberry, S., Chuck, C., Dias, M., Gao, G., Garfein, R., Green, V., … Winston, C. (2022). In-Person vs Electronic Directly Observed Therapy for Tuberculosis Treatment Adherence: A Randomized Noninferiority Trial. JAMA Network Open, 5(1), e2144210. https://doi.org/10.1001/jamanetworkopen.2021.44210

Cattamanchi, A., Crowder, R., Kityamuwesi, A., Kiwanuka, N., Lamunu, M., Namale, C., Tinka, L. K., Nakate, A. S., Ggita, J., Turimumahoro, P., Babirye, D., Oyuku, D., Berger, C., Tucker, A., Patel, D., Sammann, A., Turyahabwe, S., Dowdy, D., & Katamba, A. (2021). Digital adherence technology for tuberculosis treatment supervision: A stepped-wedge cluster-randomized trial in Uganda. PLOS Medicine, 18(5), e1003628. https://doi.org/10.1371/journal.pmed.1003628

Charalambous, S., Maraba, N., Jennings, L., Rabothata, I., Cogill, D., Mukora, R., Hippner, P., Naidoo, P., Xaba, N., Mchunu, L., Velen, K., Orrell, C., & Fielding, K. L. (2024). Treatment adherence and clinical outcomes amongst in people with drug-susceptible tuberculosis using medication monitor and differentiated care approach compared with standard of care in South Africa: A cluster randomized trial. eClinicalMedicine, 75, 102745. https://doi.org/10.1016/j.eclinm.2024.102745

De Groot, L. M., Straetemans, M., Maraba, N., Jennings, L., Gler, M. T., Marcelo, D., Mekoro, M., Steenkamp, P., Gavioli, R., Spaulding, A., Prophete, E., Bury, M., Banu, S., Sultana, S., Onjare, B., Efo, E., Alacapa, J., Levy, J., Morales, M. L. L., … Bakker, M. I. (2022). Time Trend Analysis of Tuberculosis Treatment While Using Digital Adherence Technologies—An Individual Patient Data Meta-Analysis of Eleven Projects across Ten High Tuberculosis-Burden Countries. Tropical Medicine and Infectious Disease, 7(5), 65. https://doi.org/10.3390/tropicalmed7050065

Durmuş, A. (2024). The influence of digital literacy on mHealth app usability: The mediating role of patient expertise. DIGITAL HEALTH, 10, 20552076241299061. https://doi.org/10.1177/20552076241299061

Guzman, K., Crowder, R., Leddy, A., Maraba, N., Jennings, L., Ahmed, S., Sultana, S., Onjare, B., Shilugu, L., Alacapa, J., Levy, J., Katamba, A., Kityamuwesi, A., Bogdanov, A., Gamazina, K., Cattamanchi, A., & Khan, A. (2023). Acceptability and feasibility of digital adherence technologies for drug-susceptible tuberculosis treatment supervision: A meta-analysis of implementation feedback. PLOS Digital Health, 2(8), e0000322. https://doi.org/10.1371/journal.pdig.0000322

Hartch, C., Dietrich, M. S., Lancaster, B. J., Mulvaney, S. A., & Stolldorf, D. P. (2025). Satisfaction and Usability of a Commercially Available Medication Adherence App (Medisafe) Among Medically Underserved Patients With Chronic Illnesses: Survey Study. JMIR Human Factors, 12, e63653. https://doi.org/10.2196/63653

Hyzy, M., Bond, R., Mulvenna, M., Bai, L., Dix, A., Leigh, S., & Hunt, S. (2022). System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis. JMIR mHealth and uHealth, 10(8), e37290. https://doi.org/10.2196/37290

Kiwanuka, N., Kityamuwesi, A., Crowder, R., Guzman, K., Berger, C. A., Lamunu, M., Namale, C., Kunihira Tinka, L., Nakate, A. S., Ggita, J., Turimumahoro, P., Babirye, D., Oyuku, D., Patel, D., Sammann, A., Turyahabwe, S., Dowdy, D. W., Katamba, A., & Cattamanchi, A. (2023). Implementation, feasibility, and acceptability of 99DOTS-based supervision of treatment for drug-susceptible TB in Uganda. PLOS Digital Health, 2(6), e0000138. https://doi.org/10.1371/journal.pdig.0000138

Klug, B. (2017). An Overview of the System Usability Scale in Library Website and System Usability Testing. Weave: Journal of Library User Experience, 1(6). https://doi.org/10.3998/weave.12535642.0001.602

Liu, X., Thompson, J., Dong, H., Sweeney, S., Li, X., Yuan, Y., Wang, X., He, W., Thomas, B., Xu, C., Hu, D., Vassall, A., Huan, S., Zhang, H., Jiang, S., Fielding, K., & Zhao, Y. (2023). Digital adherence technologies to improve tuberculosis treatment outcomes in China: A cluster-randomised superiority trial. The Lancet Global Health, 11(5), e693–e703. https://doi.org/10.1016/S2214-109X(23)00068-2

Maraba, N., Orrell, C., Chetty-Makkan, C. M., Velen, K., Mukora, R., Page-Shipp, L., Naidoo, P., Mbatha, M. T., Fielding, K. L., & Charalambous, S. (2021). Evaluation of adherence monitoring system using evriMED with a differentiated response compared to standard of care among drug-sensitive TB patients in three provinces in South Africa: A protocol for a cluster randomised control trial. Trials, 22(1), 389. https://doi.org/10.1186/s13063-021-05337-y

Ravenscroft, L., Kettle, S., Persian, R., Ruda, S., Severin, L., Doltu, S., Schenck, B., & Loewenstein, G. (2020). Video-observed therapy and medication adherence for tuberculosis patients: Randomised controlled trial in Moldova. European Respiratory Journal, 56(2), 2000493. https://doi.org/10.1183/13993003.00493-2020

Shao, Y., Yang, X., Chen, Q., Guo, H., Duan, X., Xu, X., Yue, J., Zhang, Z., Zhao, S., & Zhang, S. (2025). Determinants of digital health literacy among older adult patients with chronic diseases: A qualitative study. Frontiers in Public Health, 13, 1568043. https://doi.org/10.3389/fpubh.2025.1568043

Stoner, M. C. D., Maragh-Bass, A. C., Sukhija-Cohen, A. C., & Saberi, P. (2022). Digital directly observed therapy to monitor adherence to medications: A scoping review. HIV Research & Clinical Practice, 23(1), 47–60. https://doi.org/10.1080/25787489.2022.2103512

Tadesse, A. W., Mganga, A., Dube, T. N., Alacapa, J., Van Kalmthout, K., Letta, T., Mleoh, L., Garfin, A. M. C., Maraba, N., Charalambous, S., Foster, N., Jerene, D., & Fielding, K. L. (2024). Feasibility and acceptability of the smart pillbox and medication label with differentiated care to support person-centered tuberculosis care among ASCENT trial participants – A multicountry study. Frontiers in Public Health, 12, 1327971. https://doi.org/10.3389/fpubh.2024.1327971

Takano, E., Maruyama, H., Takahashi, T., Mori, K., Nishiyori, K., Morita, Y., Fukuda, T., Kondo, I., & Ishibashi, Y. (2023). User Experience of Older People While Using Digital Health Technologies: A Systematic Review. Applied Sciences, 13(23), 12815. https://doi.org/10.3390/app132312815

Thomas, B. E., Kumar, J. V., Chiranjeevi, M., Shah, D., Khandewale, A., Thiruvengadam, K., Haberer, J. E., Mayer, K. H., & Subbaraman, R. (2020). Evaluation of the Accuracy of 99DOTS, a Novel Cellphone-based Strategy for Monitoring Adherence to Tuberculosis Medications: Comparison of DigitalAdherence Data With Urine Isoniazid Testing. Clinical Infectious Diseases, 71(9), e513–e516. https://doi.org/10.1093/cid/ciaa333

Wambi, P., West, N., Nabugoomu, J., Kityamuwesi, A., Crowder, R., Kunihira, L., Wobudeya, E., Adithya, C., Jaganath, D., & Katamba, A. (2024). A mixed methods evaluation of 99DOTS digital adherence technology uptake among adolescents treated for pulmonary tuberculosis in Uganda. Public and Global Health. https://doi.org/10.1101/2024.12.01.24318270

World Health Organization. (2024). Global Tuberculosis Report 2024. https://www.who.int/teams/global-programme-on-tuberculosis-and-lung-health/tb-reports/global-tuberculosis-report-2024

World Health Organization. (2025). Digital resources for tuberculosis. https://www.who.int/tools/digital-resources-for-tuberculosis

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Diterbitkan

12-03-2026

Cara Mengutip

Syah, F. Z. N. ., Susanto, N. A., & Zainuri, A. (2026). Evaluasi Digital Adherence Technology Berbasis Kode QR (Q-Monte) untuk Pemantauan Kepatuhan Pengobatan Tuberkulosis. PHARMADEMICA : Jurnal Kefarmasian Dan Gizi, 5(2), 136–147. https://doi.org/10.54445/pharmademica.v5i2.160

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