Evidence map›Paper›PMID 40705794›Full record

Trial reportPloS one2025

Enhancing tuberculosis treatment support: A thematic analysis of interactive messages in a digital adherence technology trial to identify needs, challenges, and strategies for improvement.

Javier Roberti, Priscilla Carmiol-Rodríguez, Enrique Chan-Liang, Omar Alfonso Aguilar-Vidrio, Agnes A Suyanto, Jennifer Sprecher, Fernando Rubinstein, Sarah Iribarren

Abstract readMulticenter StudyPragmatic Clinical Trial
In one paragraph

Trial report in PloS one, 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

8 authors.

Javier RobertiInstitute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.ORCID https://orcid.org/0000-0002-4285-5061
Priscilla Carmiol-RodríguezBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-1948-3634
Enrique Chan-LiangBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States of America.
Omar Alfonso Aguilar-VidrioBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States of America.
Agnes A SuyantoBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0009-0008-1584-1060
Jennifer SprecherBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States of America.
Fernando RubinsteinInstitute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.ORCID https://orcid.org/0000-0001-5653-5766
Sarah IribarrenBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0003-2980-0717

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

backgroundDigital adherence technologies (DATs) offer promising solutions for monitoring and supporting adherence to complex treatment regimens, including tuberculosis (TB) treatment. However, better understanding is needed of how users engage with DATs and how engagement influences their effectiveness, particularly in real-world settings and among underserved populations.

objectiveAssess user engagement with the Companion app within the Tuberculosis Treatment Support Tools (TB-TST) intervention and explore the types of interactions that promote treatment adherence and address patients' needs.

methodsSecure message threads (N = 255) were analyzed as part of a four-site pragmatic clinical trial evaluating the effectiveness of the TB-TST intervention. Pragmatic thematic analysis was applied to chat logs between patients and treatment supporters (TSs) to identify key themes related to application utilization, treatment adherence, technical challenges, and communication patterns.

resultsKey themes that emerged included: experiences of living with TB; COVID-19 pandemic impact; symptom guidance, healthcare coordination, and treatment and intervention adherence and technical issues. Patients frequently sought advice on how to integrate TB treatment into their daily lives, manage side effects, and cope with emotional distress. The communication styles of TSs varied, with personalized and empathetic interactions leading to better patient acceptance. Technical issues and difficulties accessing phone credit and connectivity challenges were barriers to intervention adherence. Recommendations from this analysis emphasize the need for personalized communication, streamlined adherence reporting, timely symptom guidance, expanded mental health support, and improved healthcare coordination to strengthen the intervention.

conclusionThis study highlights the importance of personalized, empathetic communication, and reliable technology to enhance the effectiveness of DATs. Future DAT solutions should prioritize technological reliability and the human elements of care. Interventions must be adaptable, user-friendly, and capable of addressing diverse patient needs, including offering emotional support and empowering individuals with limited digital literacy.

Indexed as

Medication AdherenceTuberculosisAdultCOVID-19FemaleHumansMaleMiddle AgedMobile ApplicationsTelemedicine

Identifiers

PMID40705794
PMCPMC12289081

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.