» Articles » PMID: 35050357

In-Person Vs Electronic Directly Observed Therapy for Tuberculosis Treatment Adherence: A Randomized Noninferiority Trial

Overview
Journal JAMA Netw Open
Specialty General Medicine
Date 2022 Jan 20
PMID 35050357
Authors
Affiliations
Soon will be listed here.
Abstract

Importance: Electronic directly observed therapy (DOT) is used increasingly as an alternative to in-person DOT for monitoring tuberculosis treatment. Evidence supporting its efficacy is limited.

Objective: To determine whether electronic DOT can attain a level of treatment observation as favorable as in-person DOT.

Design, Setting, And Participants: This was a 2-period crossover, noninferiority trial with initial randomization to electronic or in-person DOT at the time outpatient tuberculosis treatment began. The trial enrolled 216 participants with physician-suspected or bacteriologically confirmed tuberculosis from July 2017 to October 2019 in 4 clinics operated by the New York City Health Department. Data analysis was conducted between March 2020 and April 2021.

Interventions: Participants were asked to complete 20 medication doses using 1 DOT method, then switched methods for another 20 doses. With in-person therapy, participants chose clinic or community-based DOT; with electronic DOT, participants chose live video-conferencing or recorded videos.

Main Outcomes And Measures: Difference between the percentage of medication doses participants were observed to completely ingest with in-person DOT and with electronic DOT. Noninferiority was demonstrated if the upper 95% confidence limit of the difference was 10% or less. We estimated the percentage of completed doses using a logistic mixed effects model, run in 4 modes: modified intention-to-treat, per-protocol, per-protocol with 85% or more of doses conforming to the randomization assignment, and empirical. Confidence intervals were estimated by bootstrapping (with 1000 replicates).

Results: There were 173 participants in each crossover period (median age, 40 years [range, 16-86 years]; 140 [66%] men; 80 [37%] Asian and Pacific Islander, 43 [20%] Black, and 71 [33%] Hispanic individuals) evaluated with the model in the modified intention-to-treat analytic mode. The percentage of completed doses with in-person DOT was 87.2% (95% CI, 84.6%-89.9%) vs 89.8% (95% CI, 87.5%-92.1%) with electronic DOT. The percentage difference was -2.6% (95% CI, -4.8% to -0.3%), consistent with a conclusion of noninferiority. The 3 other analytic modes yielded equivalent conclusions, with percentage differences ranging from -4.9% to -1.9%.

Conclusions And Relevance: In this trial, the percentage of completed doses under electronic DOT was noninferior to that under in-person DOT. This trial provides evidence supporting the efficacy of this digital adherence technology, and for the inclusion of electronic DOT in the standard of care.

Trial Registration: ClinicalTrials.gov Identifier: NCT03266003.

Citing Articles

Environmental Sustainability in the Outpatient Clinic Setting.

Sattler M, Abdelnour M, McKay V, Burnham J Open Forum Infect Dis. 2025; 12(2):ofae586.

PMID: 39958525 PMC: 11825988. DOI: 10.1093/ofid/ofae586.


Contextual factors influencing implementation of tuberculosis digital adherence technologies: a scoping review guided by the RE-AIM framework.

Bahukudumbi S, Chilala C, Foster N, Patel B, Mohamed M, Zary M BMJ Glob Health. 2025; 10(2).

PMID: 39947716 PMC: 11831270. DOI: 10.1136/bmjgh-2024-016608.


Nationwide economic analysis of pulmonary tuberculosis in the Brazilian healthcare system over seven years (2015-2022): a population-based study.

Barreto-Duarte B, Villalva-Serra K, Campos V, Cordeiro-Santos M, Kritski A, Araujo-Pereira M Lancet Reg Health Am. 2025; 39:100905.

PMID: 39839682 PMC: 11747192. DOI: 10.1016/j.lana.2024.100905.


Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled Trial.

Sekandi J, Buregyeya E, Zalwango S, Nakkonde D, Kaggwa P, Quach T JMIR Mhealth Uhealth. 2024; 13:e57991.

PMID: 39715573 PMC: 11783032. DOI: 10.2196/57991.


Modelling the epidemiological and economic impact of digital adherence technologies with differentiated care for tuberculosis treatment in Ethiopia.

Gosce L, Tadesse A, Foster N, van Kalmthout K, van Rest J, van der Wal J BMJ Glob Health. 2024; 9(12).

PMID: 39653521 PMC: 11628985. DOI: 10.1136/bmjgh-2024-016997.


References
1.
Alipanah N, Jarlsberg L, Miller C, Linh N, Falzon D, Jaramillo E . Adherence interventions and outcomes of tuberculosis treatment: A systematic review and meta-analysis of trials and observational studies. PLoS Med. 2018; 15(7):e1002595. PMC: 6029765. DOI: 10.1371/journal.pmed.1002595. View

2.
Lee Y, Raviglione M, Flahault A . Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review. J Med Internet Res. 2020; 22(2):e15727. PMC: 7055857. DOI: 10.2196/15727. View

3.
Imperial M, Nahid P, Phillips P, Davies G, Fielding K, Hanna D . A patient-level pooled analysis of treatment-shortening regimens for drug-susceptible pulmonary tuberculosis. Nat Med. 2018; 24(11):1708-1715. PMC: 6685538. DOI: 10.1038/s41591-018-0224-2. View

4.
Frieden T, Sbarbaro J . Promoting adherence to treatment for tuberculosis: the importance of direct observation. Bull World Health Organ. 2007; 85(5):407-9. PMC: 2636637. DOI: 10.2471/blt.06.038927. View

5.
Toczek A, Cox H, du Cros P, Cooke G, Ford N . Strategies for reducing treatment default in drug-resistant tuberculosis: systematic review and meta-analysis. Int J Tuberc Lung Dis. 2012; 17(3):299-307. DOI: 10.5588/ijtld.12.0537. View