Effectiveness of electronic reminder systems in improving treatment adherence and completion rates in tuberculosis patients: a meta-analysis

Authors

DOI:

https://doi.org/10.47197/retos.v74.117393

Keywords:

tuberculosis (TB), electronic reminder, adherence, completion

Abstract

Introduction: Numerous studies have evaluated electronic reminder systems (ERSs) to enhance tuberculosis (TB) treatment outcomes and recently inconsistent result.

Objective: This study aimed to evaluate the effectiveness of ERSs in improving treatment adherence and completion among TB patients.

Methodology: A systematic review and meta-analysis design. The included studies were obtained from six databases (PubMed, MedLine Ultimate, WOS, ASC, CINAHL, and Garuda) up to 26 may 2025. Risk of Bias tool was employed to assess the article quality. The Odd Ratio (OR) was calculated and analyzed using random effect and 95% confidence interval (CI).

Results: Eleven studies were eligible criterion in this review. Across six studies (N= 5,302), ERS showed a non-significant trend toward improved adherence (OR = 1.98, 95% CI [0.94, 4.17], p = 0.07), with high heterogeneity (I² = 95%). Subgroup analysis indicated a significant effect in LMICs (OR = 1.97, 95% CI [1.16, 3.35], p = 0.01), but not in UMICs (OR = 1.87, p = 0.18). For treatment completion, nine studies (N= 6,474) shown a significantly improved outcomes (OR = 1.66, 95% CI [1.13, 2.44], p= 0.01), though heterogeneity was substantial (I² = 81%). Both subgroup difference tests were not statistically significant across income levels.

Conclusions: ERS is effective in LMICs for improving adherence, and appear to support treatment completion overall, though variability across studies suggests context matters. These findings reinforce that simple digital tools can make a meaningful difference, especially when thoughtfully deployed in the right settings.

Registration: CRD420251072331 was registered in PROSPERO

References

Abdulkader, M., Van Aken, I., Niguse, S., Hailekiros, H., & Spigt, M. (2019). Treatment outcomes and their trend among tuberculosis patients treated at peripheral health settings of Northern Ethiopia between 2009 and 2014: A registry-based retrospective analysis. BMC Research Notes, 12(1), 786. https://doi.org/10.1186/s13104-019-4824-9

Acosta, J., Flores, P., Alarcón, M., Grande-Ortiz, M., Moreno-Exebio, L., & Puyen, Z. M. (2022). A randomised controlled trial to evaluate a medication monitoring system for TB treatment. The International Journal of Tuberculosis and Lung Disease, 26(1), 44–49. https://doi.org/10.5588/ijtld.21.0373

Adejumo, O., Daniel, O., Otesanya, A., Salisu-Olatunj, S., & Abdur-Razzaq, H. (2017). Evaluation of outcomes of tuberculosis management in private for profit and private-not-for profit directly observed treatment short course facilities in Lagos State, Nigeria. Nigerian Medical Journal, 58(1), 44. https://doi.org/10.4103/0300-1652.218417

Alnasser, Y., Grande, N., Masood, F., Powell, C., & Gilman, R. H. (2025). Be smart and use smartphones for telemedicine: Narrative review. mHealth, 11, 39. https://doi.org/10.21037/mhealth-24-71

Bagyawantha, N. M. Y., Coombes, I. D., Gawarammana, I., & Mohamed, F. (2025). Impact of a clinical pharmacy intervention on medication adherence and the quality use of medicines in patients with acute coronary syndrome: A single centre nonrandomised controlled clinical trial. Journal of Pharmaceutical Policy and Practice, 18(1), 2468782. https://doi.org/10.1080/20523211.2025.2468782

Bediang, G., Stoll, B., Elia, N., Abena, J.-L., & Geissbuhler, A. (2018). SMS reminders to improve adherence and cure of tuberculosis patients in Cameroon (TB-SMS Cameroon): A randomised controlled trial. BMC Public Health, 18(1). https://doi.org/10.1186/s12889-018-5502-x

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

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

Conner, M., & Norman, P. (2022). Understanding the intention-behavior gap: The role of intention strength. Frontiers in Psychology, 13, 923464. https://doi.org/10.3389/fpsyg.2022.923464

Dartois, V. A., & Rubin, E. J. (2022). Anti-tuberculosis treatment strategies and drug development: Challenges and priorities. Nature Reviews Microbiology, 20(11), 685–701. https://doi.org/10.1038/s41579-022-00731-y

Deeks, J. J., Higgins, J. P., & Altman, D. G. (2022). Chapter 10: Analysing data and undertaking meta‐analyses. Cochrane Handbook for Systematic Reviews of Interventions, Update February 2022. www.training.cochrane.org/handbook

Erku, D., Khatri, R., Endalamaw, A., Wolka, E., Nigatu, F., Zewdie, A., & Assefa, Y. (2023). Digital Health Interventions to Improve Access to and Quality of Primary Health Care Services: A Scoping Review. International Journal of Environmental Research and Public Health, 20(19), 6854. https://doi.org/10.3390/ijerph20196854

Eze, P., Lawani, L. O., & Acharya, Y. (2021). Short message service (SMS) reminders for childhood immunisation in low-income and middle-income countries: A systematic review and meta-analysis. BMJ Global Health, 6(7), e005035. https://doi.org/10.1136/bmjgh-2021-005035

Fang, X.-H., Guan, S.-Y., Tang, L., Tao, F.-B., Zou, Z., Wang, J.-X., Kan, X.-H., Wang, Q.-Z., Zhang, Z.-P., Cao, H., Ma, D.-C., & Pan, H.-F. (2017). Effect of Short Message Service on Management of Pulmonary Tuberculosis Patients in Anhui Province, China: A Prospective, Randomized, Controlled Study. Medical Science Monitor, 23, 2465–2469. https://doi.org/10.12659/msm.904957

Gashu, K. D., Gelaye, K. A., Lester, R., & Tilahun, B. (2021). Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: A randomised controlled trial. BMJ Health & Care Informatics, 28(1), e100268. https://doi.org/10.1136/bmjhci-2020-100268

Guo, P., Qiao, W., Sun, Y., Liu, F., & Wang, C. (2020). Telemedicine Technologies and Tuberculosis Management: A Randomized Controlled Trial. Telemedicine and E-Health, 26(9), 1150–1156. https://doi.org/10.1089/tmj.2019.0190

Guyatt, G. H., Oxman, A. D., Schünemann, H. J., Tugwell, P., & Knottnerus, A. (2011). GRADE guidelines: A new series of articles in the Journal of Clinical Epidemiology. Journal of Clinical Epidemiology, 64(4), 380–382. https://doi.org/10.1016/j.jclinepi.2010.09.011

Gygli, S. M., Borrell, S., Trauner, A., & Gagneux, S. (2017). Antimicrobial resistance in Mycobacterium tuberculosis: Mechanistic and evolutionary perspectives. FEMS Microbiology Reviews, 41(3), 354–373. https://doi.org/10.1093/femsre/fux011

Higgins, J. P. T., Altman, D. G., Gotzsche, P. C., Juni, P., Moher, D., Oxman, A. D., Savovic, J., Schulz, K. F., Weeks, L., Sterne, J. A. C., Cochrane Bias Methods Group, & Cochrane Statistical Methods Group. (2011). The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ, 343(oct18 2), d5928–d5928. https://doi.org/10.1136/bmj.d5928

Higgins, J. P. T., & Eldridge, S., Li, T. (2023). Chapter 23: Including variants on randomized trials | Cochrane. https://www.cochrane.org/authors/handbooks-and-manuals/handbook/current/chapter-23

Hirpa, S., Medhin, G., Girma, B., Melese, M., Mekonen, A., Suarez, P., & Ameni, G. (2013). Determinants of multidrug-resistant tuberculosis in patients who underwent first-line treatment in Addis Ababa: A case control study. BMC Public Health, 13(1), 782. https://doi.org/10.1186/1471-2458-13-782

Hoffmann, T. C., Glasziou, P. P., Boutron, I., Milne, R., Perera, R., Moher, D., Altman, D. G., Barbour, V., Macdonald, H., Johnston, M., Kadoorie, S. E. L., Dixon-Woods, M., McCulloch, P., Wyatt, J. C., Phelan, A. W. C., & Michie, S. (2014). Better reporting of interventions: Template for intervention description and replication (TIDieR) checklist and guide. BMJ (Online), 348. https://doi.org/10.1136/bmj.g1687

Hossain, A., Ahsan, G. U., Hossain, M. Z., Hossain, M. A., Sutradhar, P., Alam, S.-E., Sultana, Z. Z., Hijazi, H., Rahman, S. A., & Alameddine, M. (2025). Medication adherence and blood pressure control in treated hypertensive patients: First follow-up findings from the PREDIcT-HTN study in Northern Bangladesh. BMC Public Health, 25(1), 250. https://doi.org/10.1186/s12889-025-21409-z

Huda, M. H., Rahman, M. F., Zalaya, Y., Mukminin, M. A., Purnamasari, T., Hendarwan, H., Su’udi, A., Hasugian, A. R., Yuniar, Y., Handayani, R. S., Putranto, R. H., Yulianto, A., Suryatma, A., Despitasari, M., & Siregar, R. N. (2024). A meta-analysis of technology-based interventions on treatment adherence and treatment success among TBC patients. PLOS ONE, 19(12), e0312001. https://doi.org/10.1371/journal.pone.0312001

Johnston, J. C., Van Der Kop, M. L., Smillie, K., Ogilvie, G., Marra, F., Sadatsafavi, M., Romanowski, K., Budd, M. A., Hajek, J., Cook, V., & Lester, R. T. (2018). The effect of text messaging on latent tuberculosis treatment adherence: A randomised controlled trial. European Respiratory Journal, 51(2), 1701488. https://doi.org/10.1183/13993003.01488-2017

Lensen, S. (2023). When to pool data in a meta-analysis (and when not to)? Fertility and Sterility, 119(6), 902–903. https://doi.org/10.1016/j.fertnstert.2023.03.015

Leyrat, C., Caille, A., Eldridge, S., Kerry, S., Dechartres, A., & Giraudeau, B. (2019). Intervention effect estimates in cluster randomized versus individually randomized trials: A meta-epidemiological study. International Journal of Epidemiology, 48(2), 609–619. https://doi.org/10.1093/ije/dyy229

Liu, X., Lewis, J. J., Zhang, H., Lu, W., Zhang, S., Zheng, G., Bai, L., Li, J., Li, X., Chen, H., Liu, M., Chen, R., Chi, J., Lu, J., Huan, S., Cheng, S., Wang, L., Jiang, S., Chin, D. P., & Fielding, K. L. (2015). Effectiveness of Electronic Reminders to Improve Medication Adherence in Tuberculosis Patients: A Cluster-Randomised Trial. PLOS Medicine, 12(9), e1001876. https://doi.org/10.1371/journal.pmed.1001876

Louw, G. E., Hohlfeld, A. S.-J., Kalan, R., & Engel, M. E. (2024). Mobile Phone Text Message Reminders to Improve Vaccination Uptake: A Systematic Review and Meta-Analysis. Vaccines, 12(10), 1151. https://doi.org/10.3390/vaccines12101151

Louwagie, G., Kanaan, M., Morojele, N. K., Van Zyl, A., Moriarty, A. S., Li, J., Siddiqi, K., Turner, A., Mdege, N. D., Omole, O. B., Tumbo, J., Bachmann, M., Parrott, S., & Ayo-Yusuf, O. A. (2022). Effect of a brief motivational interview and text message intervention targeting tobacco smoking, alcohol use and medication adherence to improve tuberculosis treatment outcomes in adult patients with tuberculosis: A multicentre, randomised controlled trial of the ProLife programme in South Africa. BMJ Open, 12(2), e056496. https://doi.org/10.1136/bmjopen-2021-056496

Manyazewal, T., Woldeamanuel, Y., Getinet, T., Hoover, A., Bobosha, K., Fuad, O., Getahun, B., Fekadu, A., Holland, D. P., & Marconi, V. C. (2023). Patient-reported usability and satisfaction with electronic medication event reminder and monitor device for tuberculosis: A multicentre, randomised controlled trial. eClinicalMedicine, 56, 101820. https://doi.org/10.1016/j.eclinm.2022.101820

Manyazewal, T., Woldeamanuel, Y., Holland, D. P., Fekadu, A., & Marconi, V. C. (2022). Effectiveness of a digital medication event reminder and monitor device for patients with tuberculosis (SELFTB): A multicenter randomized controlled trial. BMC Medicine, 20(1). https://doi.org/10.1186/s12916-022-02521-y

Martin, A., Booth, J. N., Laird, Y., Sproule, J., Reilly, J. J., & Saunders, D. H. (2018). Physical activity, diet and other behavioural interventions for improving cognition and school achievement in children and adolescents with obesity or overweight. Cochrane Database of Systematic Reviews, 2018(3). https://doi.org/10.1002/14651858.CD009728.pub4

McCool, J., Dobson, R., Whittaker, R., & Paton, C. (2022). Mobile Health (mHealth) in Low- and Middle-Income Countries. Annual Review of Public Health, 43(1), 525–539. https://doi.org/10.1146/annurev-publhealth-052620-093850

Mohammed, S., Glennerster, R., & Khan, A. J. (2016). Impact of a Daily SMS Medication Reminder System on Tuberculosis Treatment Outcomes: A Randomized Controlled Trial. PLOS ONE, 11(11), e0162944. https://doi.org/10.1371/journal.pone.0162944

Octaviani, P., Ikawati, Z., Yasin, N. M., Kristina, S. A., & Kusuma, I. Y. (2024). Interventions to Improve Adherence to Medication on Multidrug-Resistant Tuberculosis Patients: A Scoping Review. The Medical Journal of Malaysia, 79(2), 212–221.

Olowoyo, K. S., Esan, D. T., Olowoyo, P., Oyinloye, B. E., Fawole, I. O., Aderibigbe, S., Adigun, M. O., Olawade, D. B., Esan, T. O., & Adeyanju, B. T. (2025). Treatment Adherence and Outcomes in Patients with Tuberculosis Treated with Telemedicine: A Scoping Review. Tropical Medicine and Infectious Disease, 10(3), 78. https://doi.org/10.3390/tropicalmed10030078

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372. https://doi.org/10.1136/bmj.n71

Pawson, R., Greenhalgh, J., & Brennan, C. (2016). Demand management for planned care: A realist synthesis. Health Services and Delivery Research, 4(2), 1–222. https://doi.org/10.3310/hsdr04020

Rabinovich, L., Molton, J. S., Ooi, W. T., Paton, N. I., Batra, S., & Yoong, J. (2020). Perceptions and Acceptability of Digital Interventions Among Tuberculosis Patients in Cambodia: Qualitative Study of Video-Based Directly Observed Therapy. Journal of Medical Internet Research, 22(7), e16856. https://doi.org/10.2196/16856

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

Ridho, A., Alfian, S. D., Van Boven, J. F. M., Levita, J., Yalcin, E. A., Le, L., Alffenaar, J.-W., Hak, E., Abdulah, R., & Pradipta, I. S. (2022). Digital Health Technologies to Improve Medication Adherence and Treatment Outcomes in Patients With Tuberculosis: Systematic Review of Randomized Controlled Trials. Journal of Medical Internet Research, 24(2), e33062. https://doi.org/10.2196/33062

Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (2016). Social Learning Theory and the Health Belief Model. Http://Dx.Doi.Org/10.1177/109019818801500203, 15(2), 175–183. https://doi.org/10.1177/109019818801500203

Sandi, Y. D. L., Yang, L., Andarini, E., Maryam, D., & Wu, L. (2024). Effectiveness of digital education on human papillomavirus knowledge, vaccination intent and completion rates in adolescents and young adults: A meta‐analysis. Journal of Advanced Nursing, 81(4), 2199–2213. https://doi.org/10.1111/jan.16575

Story, A., Garber, E., Aldridge, R. W., Smith, C. M., Hall, J., Ferenando, G., Possas, L., Hemming, S., Wurie, F., Luchenski, S., Abubakar, I., McHugh, T. D., White, P. J., Watson, J. M., Lipman, M., Garfein, R., & Hayward, A. C. (2020). Management and control of tuberculosis control in socially complex groups: A research programme including three RCTs. Programme Grants for Applied Research, 8(9), 1–76. https://doi.org/10.3310/pgfar08090

Suvvari, T. K. (2025). The persistent threat of tuberculosis—Why ending TB remains elusive? Journal of Clinical Tuberculosis and Other Mycobacterial Diseases, 38, 100510. https://doi.org/10.1016/j.jctube.2025.100510

Wei, X., Hicks, J. P., Zhang, Z., Haldane, V., Pasang, P., Li, L., Yin, T., Zhang, B., Li, Y., Pan, Q., Liu, X., Walley, J., & Hu, J. (2024). Effectiveness of a comprehensive package based on electronic medication monitors at improving treatment outcomes among tuberculosis patients in Tibet: A multicentre randomised controlled trial. The Lancet, 403(10430), 913–923. https://doi.org/10.1016/s0140-6736(23)02270-5

Wei, X., & Zhang, W. (2024). The hidden threat of subclinical tuberculosis. The Lancet. Infectious Diseases, 24(7), 669–670. https://doi.org/10.1016/S1473-3099(24)00069-0

WHO. (2025). WHO consolidated guidelines on tuberculosis. Module 4: Treatment and care. World Health Organization.

Zhou, T., Zhang, S., Colomer, J., & Cañabate Ortíz, D. (2025). Applying self-determination theory in Physical Education: A systematic review. Retos, 69, 1016–1038. https://doi.org/10.47197/retos.v69.115809

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19-11-2025

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Adiutama, N. M., Sandi, Y. D. L., Fauziah, W., & Ferdian, N. R. (2025). Effectiveness of electronic reminder systems in improving treatment adherence and completion rates in tuberculosis patients: a meta-analysis. Retos, 74, 530-544. https://doi.org/10.47197/retos.v74.117393