Evidence map›Paper›PMID 34152281›Full record

ArticleJMIR research protocols2021

Mobile Tuberculosis Treatment Support Tools to Increase Treatment Success in Patients with Tuberculosis in Argentina: Protocol for a Randomized Controlled Trial.

Sarah Iribarren, Hannah Milligan, Kyle Goodwin, Omar Alfonso Aguilar Vidrio, Cristina Chirico, Hugo Telles, Daniela Morelli, Barry Lutz, Jennifer Sprecher, Fernando Rubinstein

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04221789 (TB Treatment Support Tools), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 32% of its field
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.

NCT04221789 naactive not recruitingnot on this map

TB Treatment Support Tools: Refinement and Evaluation of an Interactive Mobile App and Direct Adherence Monitoring on TB Treatment Outcomes

TypeinterventionalSponsorInstitute for Clinical Effectiveness and Health PolicyRan2020 to 2025Enrolled555ConditionsTuberculosis, Treatment AdherenceArmsTB treatment assistant
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Sarah IribarrenBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0003-2980-0717
Hannah MilliganBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0003-3167-8263
Kyle GoodwinBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-8314-6472
Omar Alfonso Aguilar VidrioBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-9942-699X
Cristina ChiricoNational Tuberculosis Control Program, Region Five, Buenos Aires Argentina, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0002-5694-3396
Hugo TellesNational Tuberculosis Control Program, Region Five, Buenos Aires Argentina, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0003-3830-8847
Daniela MorelliInstitute of Clinical Effectiveness and Healthcare Policy, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0001-6387-6083
Barry LutzDepartment of Bioengineering, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0003-4298-4901
Jennifer SprecherBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0003-2191-7945
Fernando RubinsteinInstitute of Clinical Effectiveness and Healthcare Policy, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0001-5653-5766
University of Washington · USInstituto de Efectividad Clínica y Sanitaria · AR

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

backgroundTuberculosis (TB) is an urgent global health threat and the world's deadliest infectious disease despite being largely curable. A critical challenge is to ensure that patients adhere to the full course of treatment to prevent the continued spread of the disease and development of drug-resistant disease. Mobile health interventions hold promise to provide the required adherence support to improve TB treatment outcomes.

objectiveThis study aims to evaluate the effectiveness of the TB treatment support tools (TB-TSTs) intervention on treatment outcomes (success and default) and to assess patient and provider perceptions of the facilitators and barriers to TB-TSTs implementation.

methodsThe TB-TSTs study is an open-label, randomized controlled trial with 2 parallel groups in which 400 adult patients newly diagnosed with TB will be randomly assigned to receive usual care or usual care plus TB-TSTs. Participants will be recruited on a rolling basis from 4 clinical sites in Argentina. The intervention consists of a smartphone progressive web app, a treatment supporter (eg, TB nurse, physician, or social worker), and a direct adherence test strip engineered for home use. Intervention group participants will report treatment progress and interact with a treatment supporter using the app and metabolite urine test strip. The primary outcome will be treatment success. Secondary outcomes will include treatment default rates, self-reported adherence, technology use, and usability. We will assess patients' and providers' perceptions of barriers to implementation and synthesize lessons learned. We hypothesize that the TB-TSTs intervention will be more effective because it allows patients and TB supporters to monitor and address issues in real time and provide tailored support. We will share the results with stakeholders and policy makers.

resultsEnrollment began in November 2020, with a delayed start due to the COVID-19 pandemic, and complete enrollment is expected by approximately July 2022. Data collection and follow-up are expected to be completed 6 months after the last patient is enrolled. Results from the analyses based on the primary end points are expected to be submitted for publication within a year of data collection completion.

conclusionsTo our knowledge, this randomized controlled trial will be the first study to evaluate a patient-centered remote treatment support strategy using a mobile tool and a home-based direct drug metabolite test. The results will provide robust scientific evidence on the effectiveness, implementation, and adoption of mobile health tools. The findings have broader implications not only for TB adherence but also more generally for chronic disease management and will improve our understanding of how to support patients facing challenging treatment regimens.

trial registrationClinicalTrials.gov NCT04221789; https://clinicaltrials.gov/ct2/show/NCT04221789. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28094.

Indexed as

digital healthdirect drug metabolite testdisease managementinfectious diseasemHealthmobile phonetuberculosis

Identifiers

PMID34152281
PMCPMC8277351
OpenAlexW3141650554

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.