Literature DB >> 33956802

Digital adherence technology for tuberculosis treatment supervision: A stepped-wedge cluster-randomized trial in Uganda.

Adithya Cattamanchi1,2, Rebecca Crowder1, Alex Kityamuwesi2, Noah Kiwanuka3, Maureen Lamunu2, Catherine Namale2, Lynn Kunihira Tinka2, Agnes Sanyu Nakate2, Joseph Ggita2, Patricia Turimumahoro2, Diana Babirye2, Denis Oyuku2, Christopher Berger1, Austin Tucker4, Devika Patel5, Amanda Sammann5, Stavia Turyahabwe6, David Dowdy2,4, Achilles Katamba2,7.   

Abstract

BACKGROUND: Adherence to and completion of tuberculosis (TB) treatment remain problematic in many high-burden countries. 99DOTS is a low-cost digital adherence technology that could increase TB treatment completion. METHODS AND
FINDINGS: We conducted a pragmatic stepped-wedge cluster-randomized trial including all adults treated for drug-susceptible pulmonary TB at 18 health facilities across Uganda over 8 months (1 December 2018-31 July 2019). Facilities were randomized to switch from routine (control period) to 99DOTS-based (intervention period) TB treatment supervision in consecutive months. Patients were allocated to the control or intervention period based on which facility they attended and their treatment start date. Health facility staff and patients were not blinded to the intervention. The primary outcome was TB treatment completion. Due to the pragmatic nature of the trial, the primary analysis was done according to intention-to-treat (ITT) and per protocol (PP) principles. This trial is registered with the Pan African Clinical Trials Registry (PACTR201808609844917). Of 1,913 eligible patients at the 18 health facilities (1,022 and 891 during the control and intervention periods, respectively), 38.0% were women, mean (SD) age was 39.4 (14.4) years, 46.8% were HIV-infected, and most (91.4%) had newly diagnosed TB. In total, 463 (52.0%) patients were enrolled on 99DOTS during the intervention period. In the ITT analysis, the odds of treatment success were similar in the intervention and control periods (adjusted odds ratio [aOR] 1.04, 95% CI 0.68-1.58, p = 0.87). The odds of treatment success did not increase in the intervention period for either men (aOR 1.24, 95% CI 0.73-2.10) or women (aOR 0.67, 95% CI 0.35-1.29), or for either patients with HIV infection (aOR 1.51, 95% CI 0.81-2.85) or without HIV infection (aOR 0.78, 95% CI 0.46-1.32). In the PP analysis, the 99DOTS-based intervention increased the odds of treatment success (aOR 2.89, 95% CI 1.57-5.33, p = 0.001). The odds of completing the intensive phase of treatment and the odds of not being lost to follow-up were similarly improved in PP but not ITT analyses. Study limitations include the likelihood of selection bias in the PP analysis, inability to verify medication dosing in either arm, and incomplete implementation of some components of the intervention.
CONCLUSIONS: 99DOTS-based treatment supervision did not improve treatment outcomes in the overall study population. However, similar treatment outcomes were achieved during the control and intervention periods, and those patients enrolled on 99DOTS achieved high treatment completion. 99DOTS-based treatment supervision could be a viable alternative to directly observed therapy for a substantial proportion of patients with TB. TRIAL REGISTRATION: Pan-African Clinical Trials Registry (PACTR201808609844917).

Entities:  

Year:  2021        PMID: 33956802     DOI: 10.1371/journal.pmed.1003628

Source DB:  PubMed          Journal:  PLoS Med        ISSN: 1549-1277            Impact factor:   11.069


  3 in total

1.  Evaluation of implementation and effectiveness of digital adherence technology with differentiated care to support tuberculosis treatment adherence and improve treatment outcomes in Ethiopia: a study protocol for a cluster randomised trial.

Authors:  Amare W Tadesse; Zemedu Mohammed; Nicola Foster; Matthew Quaife; Christopher Finn McQuaid; Jens Levy; Kristian van Kalmthout; Job van Rest; Degu Jerene; Tofik Abdurhman; Hiwot Yazew; Demekech G Umeta; Demelash Assefa; Gedion T Weldemichael; Ahmed Bedru; Taye Letta; Katherine L Fielding
Journal:  BMC Infect Dis       Date:  2021-11-10       Impact factor: 3.090

2.  Measuring Tuberculosis Medication Adherence: A Comparison of Multiple Approaches in Relation to Urine Isoniazid Metabolite Testing Within a Cohort Study in India.

Authors:  Ramnath Subbaraman; Beena E Thomas; J Vignesh Kumar; Maya Lubeck-Schricker; Amit Khandewale; William Thies; Misha Eliasziw; Kenneth H Mayer; Jessica E Haberer
Journal:  Open Forum Infect Dis       Date:  2021-10-17       Impact factor: 4.423

3.  Effectiveness of a digital medication event reminder and monitor device for patients with tuberculosis (SELFTB): a multicenter randomized controlled trial.

Authors:  Tsegahun Manyazewal; Yimtubezinash Woldeamanuel; David P Holland; Abebaw Fekadu; Vincent C Marconi
Journal:  BMC Med       Date:  2022-09-28       Impact factor: 11.150

  3 in total

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