Trial reportInternational journal of medical informatics2021
Insights from participant engagement with the tuberculosis treatment support tools intervention: Thematic analysis of interactive messages to guide refinement to better meet end user needs.
Trial report in International journal of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Preferences of Patients With Tuberculosis for AI-Assisted Remote Health Management: Discrete Choice Experiment.Journal of medical Internet research · 2025Article
- User-Centered Refinement of a Digital Tool for Tuberculosis Treatment Support: Iterative Mixed Methods Study.Journal of medical Internet research · 2025Article
- Contextual factors influencing implementation of tuberculosis digital adherence technologies: a scoping review guided by the RE-AIM framework.BMJ global health · 2025Article
- Living with tuberculosis: a qualitative study of patients' experiences with disease and treatment.BMC public health · 2022Article
- Patient-centered mobile tuberculosis treatment support tools (TB-TSTs) to improve treatment adherence: A pilot randomized controlled trial exploring feasibility, acceptability and refinement needs.Lancet regional health. Americas · 2022Article
- Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research.JMIR mHealth and uHealth · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundTuberculosis (TB) is a largely curable disease, yet it remains one of the top ten causes of death globally. In response to known challenges to completing the long course of TB treatment, our study team developed the TB treatment support tools (TB-TSTs). The mobile application (app) is comprised of the following main components: 1) tracks treatment progress, 2) provides disease tailored information, 3) interactive communication between patients and treatment supporters, and 4) is linked with a direct adherence drug metabolite test.
objectiveThe objective of this study was to analyze the interactive communication between the patients and the treatment supporter during the TB-TSTs pilot testing to identify issues and guide intervention refinement.
methodsWe used mixed methods to analyze the interactive communication data. The study was conducted at a pulmonary disease specialized hospital in Argentina. Of the 42 study participants enrolled in the pilot study, 21 were randomly assigned to use the TB-TSTs for 6-months during their TB treatment. The treatment supporter was a registered nurse from the regional level of the National TB program. We conducted thematic and content analysis of the messages in their original language, Spanish. We assessed the themes over time and by whom initiated the messages.
resultsThere were 2561 individual messages sent between the participants and treatment supporter. We identified 19 main themes: 7 were participant and 12 were treatment supporter initiated. Participant themes included missed report rationale, arranging in-person meeting, intervention support, TB treatment progress, disease/treatment questions, side effects and additional support. Treatment supporter themes included missed report inquiry, arranging in-person meeting, introduction and instructions, check-in's, positive reinforcement, treatment progress inquiry, test-strip issues, intervention orientation, initial side-effect check in, follow-up on side effects and photo quality issues. Messages and themes decreased over time with most occurring within the first 2 months of treatment.
conclusionsAlthough there was a decrease in the number of messages and the theme types over the 6-month study participation, treatment adherence support remained needed throughout. Potential solutions are suggested for the main issues and recommendations are being used to guide refinement.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.