Evidence map›Paper›PMID 40737522›Full record

ArticleJournal of medical Internet research2025

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

Sarah Iribarren, Omar Alfonso Aguilar Vidrio, Javier Roberti, Kyle Goodwin, Cristina Chirico, Hugo Telles, Barry Lutz, Fernanda Bornengo, Fernando Rubinstein

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sarah IribarrenDepartment 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.ORCID http://orcid.org/0000-0003-2980-0717
Omar Alfonso Aguilar VidrioDepartment 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.ORCID http://orcid.org/0000-0001-9942-699X
Javier RobertiCentre for Research in Epidemiology and Public Health (CIESP), Consejo Nacional de Investigaciones Científicas y Técnicas, Ravignani 2024, Buenos Aires, 1414, Argentina, 54 47778767.ORCID http://orcid.org/0000-0002-4285-5061
Kyle GoodwinDepartment 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.ORCID http://orcid.org/0000-0002-8314-6472
Cristina ChiricoRegion Five, National Tuberculosis Control Program, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-5694-3396
Hugo TellesRegion Five, National Tuberculosis Control Program, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0003-3830-8847
Barry LutzDepartment of Bioengineering, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0003-4298-4901
Fernanda BornengoDr. Raul Vaccarezza Institute of Tisionemunology, University of Buenos Aires, Buenos Aires, Argentina.ORCID http://orcid.org/0009-0006-0161-6677
Fernando RubinsteinInstituto de Efectividad Clínica y Sanitaria, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0001-5653-5766

Funding

TB-TST (TB treatment support tools): Refinement and evaluation of an interactive mobile app and direct adherence monitoring on TB treatment outcomesR01AI147129 · NIAID · INSTITUTO DE EFECTIVIDAD CLINICA Y SANIT · PI IRIBARREN, SARAH JO HANNAH, RUBINSTEIN, FERNANDO ADRIÁN · 2019 to 2023
$2.3M
Development and Evaluation of an Interactive Mobile Health Intervention to Support Patients with Active TuberculosisK23NR017210 · NINR · UNIVERSITY OF WASHINGTON · PI IRIBARREN, SARAH JO HANNAH · 2017 to 2019
$437k
NIAID NIH HHS R01 AI147129NINR NIH HHS K23 NR017210
6 · The paper itself

Abstract

Background: Despite the potential of digital adherence technologies to support patient-centered monitoring for tuberculosis (TB), there is limited research on incorporating indirect and direct adherence monitoring or assessing patients' experiences with these technologies. The TB Treatment Support Tools (TB-TST) includes a comprehensive mobile app for patients and health care providers and a direct adherence metabolite test to report and monitor adherence. Objective: This paper describes the iterative refinement process of the TB-TST intervention. Methods: To refine the TB-TST intervention, we used an iterative approach involving multiple embedded mixed methods studies guided by the Information Systems Research framework and Design Thinking Process. Embedded studies included a randomized controlled pilot study, interviews, usability testing, and surveys with patients and experts to inform ongoing refinements. The project consisted of interface evaluation, high-level system design, and iterative redesign. Results: The TB-TST intervention was refined through 3 iterative phases. In Phase 1, based on feedback from pilot study participants and 4 experts in TB, improvements included an in-app discussion board, submission confirmations, and enhanced account recovery. Cultural adaptation was based on Hofstede's dimensions. Phase 2 involved 4 Directed Research Groups and 19 stakeholders to redesign user flows, simplify reporting, and transition the app to a progressive web app, improving device compatibility. Phase 3 included usability testing cycles with 48 participants (26 patients and 22 health care professionals), yielding high satisfaction scores: patient app Mobile Health App Usability Questionnaire, mean 5.96 (SD 0.46); provider mobile dashboard IT Usability Evaluation Scale scores ranged from 5.83 to 6.23 out of 7, and optimization of interface and dashboard. Refinements included larger icons, streamlined onboarding, symptom summary enhancements, and a new cohort-level adherence graph. These modifications improved navigation, usability, and remote monitoring for patients with TB and providers in preparation for a multisite clinical trial. Conclusions: Combining multiple methods guided by the Information Systems Research framework and elements of the Design Thinking Process can help researchers and developers leverage the strengths of mixed methods iterative designs to create highly personalized and effective digital health interventions.

Indexed as

Mobile ApplicationsTuberculosisUser-Centered DesignAdultFemaleHumansMalePilot ProjectsTelemedicinedigital adherence supporthuman-centered designinformation systems researchmHealthmobile healthmobile phonetuberculosis

Identifiers

PMID40737522
PMCPMC12309858

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.