Evidence map›Paper›PMID 38529729›Full record

ArticleInformatics for health & social care2024

Usability testing of a mobile health application to support individuals with active tuberculosis: a mixed methods study.

Alexander John Stabile, Sarah Iribarren, Jennifer Sonney, George Demiris, Rebecca Schnall

Open access · greenAbstract read
In one paragraph

Article in Informatics for health & social care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 3 institutions in 1 country.

Alexander John StabileBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, USA.
Sarah IribarrenBiobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-2980-0717
Jennifer SonneyChild, Family, and Population Health Nursing, University of Washington, Seattle, Washington, USA.
George DemirisNursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Rebecca SchnallSchool of Nursing, Columbia University, New York City, New York, USA.
University of Washington · USColumbia University · USUniversity of Pennsylvania · US

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

Poor adherence to tuberculosis (TB) treatment leads to further disease transmission, worsened outcomes, and the development of drug resistance. Digital adherence technologies may facilitate a more patient-centered approach for improving TB treatment outcomes than current strategies. The objective of this study was to evaluate and explore improving usability of the TB Treatment Support Tools (TB-TST) mobile application. We used an iterative convergent mixed-method design consisting of two quantitative surveys and a qualitative think-aloud interview. Testing was conducted in three testing cycles consisting of a total of 16 interviews and 26 surveys. Results were thematically analyzed and reported to the development team during weekly team meetings. Participants rated the TB-TSTs application as having high usability and the iterative approach resulted in several refinements to the application in response to participant feedback. These refinements were well received during qualitative interviews but did not result in a statistically significant improvement in usability testing scores between cycles. Using an iterative convergent mixed-method design was an effective method for refining our mHealth application. Data collected from think-aloud interviews, the MAUQ, and the Health-ITUES identified key areas of application design that needed refinement.

Indexed as

Mobile ApplicationsTelemedicineTuberculosisAdultFemaleHumansInterviews as TopicMaleMedication AdherenceMiddle AgedQualitative Researchdigital adherence technologiesmedication adherencemobile healthtuberculosisUsability testing

Identifiers

PMID38529729
PMCPMC11250676
OpenAlexW4393194139

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.