National Heart Foundation Hospital & Research InstituteDept. of Epidemiology and Research

PublicationsJournal of Human Hypertension, 2024

Text messaging to improve retention in hypertension care in Bangladesh

Shamim Jubayer, Jubaida Akhtar, Ahmad Khairul Abrar, Mohammad Noor Nabi Sayem, Shahinul Islam, Khondoker Ehsanul Amin, Muhtamim Fuwad Nahid, Mahfuzur Rahman Bhuiyan, Mohammad Abdullah Al Mamun, Abdul Alim, Mohammad Robed Amin, Daniel Burka, Prabhanshu Gupta, Di Zhao, Kunihiro Matsushita, Andrew E. Moran, Sohel Reza Choudhury, Reena Gupta

Journal of Human Hypertension · 2024;38(11) · 765-771 · doi:10.1038/s41371-024-00942-1

Abstract

Visit non-attendance is a common barrier to hypertension control in low and middle-income countries (LMICs). We aimed to evaluate the effectiveness of mobile text messaging in improving visit attendance among patients with hypertension in primary healthcare facilities in Bangladesh. A randomized A/B testing study was conducted with two patient groups: (1) patients regularly attending visits (regular patients) and (2) patients overdue for their follow-up clinic visit (overdue patients). Regular patients were randomized into three groups: a cascade of three text reminders, a single text reminder, or no text reminder. Overdue patients were randomized into two groups: a single text reminder or no text reminder. 20,072 regular patients and 12,708 overdue patients were enrolled. Among regular patients, visit attendance was significantly higher in the cascade reminder group and the single reminder group compared to the no reminder group (78.2% and 76.6% vs. 74.8%, p < 0.001 and 0.027, respectively). Among overdue patients, the single reminder group had a 5.8% higher visit attendance compared to the no reminder group (26.5% vs. 20.7%, p < 0.001). The results remained consistent in multivariable analysis; adjusted prevalence ratio (PR) was 1.04 (95% CI 1.02-1.06) for the cascade reminder group and 1.02 (95% CI 1.00-1.05) for the single reminder group among regular patients. The adjusted PR for the single reminder group vs. the no reminder group among overdue patients was 1.23 (95% CI 1.15-1.33). Text message reminders are an effective strategy for improving retention of patients in hypertension treatment in LMICs, especially for patients overdue to care.

Keywords Medicine · Attendance · Text messaging · Randomized controlled trial · Text message · Pediatrics · Primary care · Family medicine · Internal medicine

Cite this paper

Shamim Jubayer, Jubaida Akhtar, Ahmad Khairul Abrar, Mohammad Noor Nabi Sayem, Shahinul Islam, Khondoker Ehsanul Amin, Muhtamim Fuwad Nahid, Mahfuzur Rahman Bhuiyan, Mohammad Abdullah Al Mamun, Abdul Alim, Mohammad Robed Amin, Daniel Burka, Prabhanshu Gupta, Di Zhao, Kunihiro Matsushita, Andrew E. Moran, Sohel Reza Choudhury, & Reena Gupta. (2024). Text messaging to improve retention in hypertension care in Bangladesh.  Journal of Human Hypertension, 38(11), 765-771. https://doi.org/10.1038/s41371-024-00942-1

Authors and affiliations

  1. Shamim Jubayer

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-8595-1993
  2. Jubaida Akhtar

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0003-0556-4190
  3. Ahmad Khairul Abrar

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-7122-4576
  4. Mohammad Noor Nabi Sayem

    National Heart Foundation Hospital & Research Institute

  5. Shahinul Islam

    National Heart Foundation Hospital & Research Institute

  6. Khondoker Ehsanul Amin

    National Heart Foundation Hospital & Research Institute

  7. Muhtamim Fuwad Nahid

    National Heart Foundation Hospital & Research Institute

  8. Mahfuzur Rahman Bhuiyan

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0001-6962-7264
  9. Mohammad Abdullah Al Mamun

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-3377-1122
  10. Abdul Alim

    Directorate General of Health Services

    ORCID 0000-0001-9370-0388
  11. Mohammad Robed Amin

    Directorate General of Health Services

  12. Daniel Burka

    Resolve to Save Lives, New York, NY, USA

    ORCID 0009-0002-8702-5122
  13. Prabhanshu Gupta

    Nilenso Software, Bengaluru, Karnataka, India

  14. Di Zhao

    Johns Hopkins University

    ORCID 0000-0002-9978-6773
  15. Kunihiro Matsushita

    Johns Hopkins University

    ORCID 0000-0002-7179-718X
  16. Andrew E. Moran

    Columbia University Irving Medical Center

    ORCID 0000-0003-3554-0085
  17. Sohel Reza Choudhury

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-7498-4634
  18. Reena Gupta

    University of California, San Francisco

    ORCID 0000-0003-0048-2575