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Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
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Related Experiment Video

Updated: Sep 13, 2025

The MODS method for diagnosis of tuberculosis and multidrug resistant tuberculosis

The MODS method for diagnosis of tuberculosis and multidrug resistant tuberculosis

Published on: August 11, 2008

User-Centered Refinement of a Digital Tool for Tuberculosis Treatment Support: Iterative Mixed Methods Study.

Sarah Iribarren¹, Omar Alfonso Aguilar Vidrio¹, Javier Roberti²

¹Department of Biobehavioral Nursing and Health Informatics, University of Washington, Health Science Building, T602C, Box 357266, 1959 NE Pacific Street, Seattle, WA, 98195, United States, 1 2065435211.

Journal of Medical Internet Research

|July 30, 2025

Summary

Digital adherence tools like TB-TST can improve tuberculosis treatment. Iterative refinement using mixed methods enhanced patient and provider usability, paving the way for broader clinical trials.

Keywords:

digital adherence support human-centered design information systems research mHealth mobile health mobile phone tuberculosis

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Area of Science:

Digital Health
Health Informatics
Tuberculosis Research

Background:

Limited research exists on digital adherence technologies for tuberculosis (TB) patient-centered monitoring.
The TB Treatment Support Tools (TB-TST) intervention integrates mobile app features for patients and providers with direct metabolite testing for adherence monitoring.

Purpose of the Study:

To describe the iterative refinement process of the TB-TST intervention.
To enhance the usability and effectiveness of digital adherence monitoring tools for tuberculosis.

Main Methods:

An iterative, mixed-methods approach guided by the Information Systems Research framework and Design Thinking Process was employed.
Studies included a pilot randomized controlled trial, interviews, usability testing, and surveys with patients and experts.
The refinement process involved three phases: interface evaluation, system design, and iterative redesign.

Main Results:

Iterative refinements in Phase 1 (expert feedback) and Phase 2 (stakeholder input) improved app features and compatibility.
Phase 3 usability testing with 48 participants (patients and healthcare professionals) showed high satisfaction scores (e.g., Mobile Health App Usability Questionnaire mean 5.96/7).
Modifications included enhanced navigation, streamlined onboarding, and improved remote monitoring capabilities for TB patients and providers.

Conclusions:

Combining iterative design with mixed methods, guided by established frameworks, is effective for developing personalized digital health interventions.
The refined TB-TST intervention demonstrates improved usability and potential for effective remote monitoring in tuberculosis care.
This iterative development process prepares the TB-TST for a multisite clinical trial, advancing digital adherence monitoring in TB treatment.