Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders

By Cristian Pop-Eleches, H. Thirumurthy, James Habyarimana, Joshua Graff Zivin, Markus Goldstein, D. de Walque, Leslie MacKeen, J. Haberer, S. Kimaiyo, J. Sidle and 2 more. AIDS (London), 2011

905 citations recorded by the source corpus.

Objective:There is limited evidence on whether growing mobile phone availability in sub-Saharan Africa can be used to promote high adherence to antiretroviral therapy (ART). This study tested the efficacy of short message service (SMS) reminders on adherence to ART among patients attending a rural clinic in Kenya. Design:A randomized controlled trial of four SMS reminder interventions with 48 weeks of follow-up. Methods:Four hundred and thirty-one adult patients who had initiated ART within 3 months were enrolled and randomly assigned to a control group or one of the four intervention groups. Participants in the intervention groups received SMS reminders that were either short or long and sent at a daily or weekly frequency. Adherence was measured using the medication event monitoring system. The primary outcome was whether adherence exceeded 90% during each 12-week period of analysis and the 48-week study period. The secondary outcome was whether there were treatment interruptions lasting at least 48 h. Results:In intention-to-treat analysis, 53% of participants receiving weekly SMS reminders achieved adherence of at least 90% during the 48 weeks of the study, compared with 40% of participants in the control group (P = 0.03). Participants in groups receiving weekly reminders were also significantly less likely to experience treatment interruptions exceeding 48 h during the 48-week follow-up period than participants in the control group (81 vs. 90%, P = 0.03). Conclusion:These results suggest that SMS reminders may be an important tool to achieve optimal treatment response in resource-limited settings.

Subfields: General Health Professions, Infectious Diseases, Information Systems

View Paper: https://www.semanticscholar.org/paper/bf291fda7fb41e51a998fbe56a4707671aca2fdf

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In General Health Professions

  1. Nicola Diviani
  2. Maddalena Fiordelli
  3. Peter Johannes Schulz
  4. B. Kirkwood

In Information Systems

  1. Peter Johannes Schulz

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