ReviewJMIR mHealth and uHealth2020
Mobile Health Apps for Improvement of Tuberculosis Treatment: Descriptive Review.
Review in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled 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.
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
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Key requirements for developing a self-care mobile application for tuberculosis: A mixed-method approach based on systematic review and needs assessment.Scientific reports · 2026Pooled it
- Trial
- Effect of a Mobile Health-Based Remote Interaction Management Intervention on the Quality of Life and Self-Management Behavior of Patients With Low Anterior Resection Syndrome: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Effects of an mHealth Intervention for Pulmonary Tuberculosis Self-management Based on the Integrated Theory of Health Behavior Change: Randomized Controlled Trial.JMIR public health and surveillance · 2022Trial
- 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.International journal of medical informatics · 2021Trial
- mHealth-supported tuberculosis contact investigation by community health workers in high-burden countries: a scoping review.Global health action · 2026Article
- User needs and design opportunities for a conversational agent for tuberculosis treatment: A mixed-methods study.PLOS digital health · 2026Article
- User engagement in the tuberculosis treatment support tools intervention and its impact on treatment outcomes: A secondary analysis of a pragmatic trial.PLOS digital health · 2026Article
- Factors associated with the willingness to accept tuberculosis preventive treatment among close contacts in Yantai, China: a cross-sectional study.BMC public health · 2026Article
- Feasibility of a Mobile Application for Self and Assisted Reporting of Coronavirus Disease 2019 Self-Testing Results in Tanzania: A Pilot Study.The American journal of tropical medicine and hygiene · 2025Article
- Adequacy of recommendations for adverse event management in national and international treatment guidelines for rifampicin-susceptible tuberculosis: a systematic review.EClinicalMedicine · 2025Review
- Burden of tuberculosis in Eastern Africa region from 1990-2021: A systematic analysis for the Global Burden of Disease 2021 Study.PloS one · 2025Article
- Protocol for a randomized controlled trial on the impact of a health action process approach model-based mobile health intervention via WeChat on health behaviors of brucellosis patients.Frontiers in public health · 2025Article
- Climate change, its impact on emerging infectious diseases and new technologies to combat the challenge.Emerging microbes & infections · 2024Review
- Strengthening Tuberculosis Control Among Migrant Workers.Tropical medicine and infectious disease · 2024Article
- Innovative Approaches to Enhance and Measure Medication Adherence in Chronic Disease Management: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024Review
- Experience of Older Patients with COPD Using Disease Management Apps: A Qualitative Study.Healthcare (Basel, Switzerland) · 2024Article
- Usability testing of a mobile health application to support individuals with active tuberculosis: a mixed methods study.Informatics for health & social care · 2024Article
- Implementation bottlenecks of real time medication monitoring (evriMED) for improving adherence to anti-TB drugs among people with tuberculosis in Kilimanjaro, Tanzania.Journal of clinical tuberculosis and other mycobacterial diseases · 2024Article
- Feasibility and acceptability of a digital tool to support community-based screening for COVID-19 and other priority medical conditions across rural and peri-urban communities in Guinea.Oxford open digital health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health (mHealth) is a rapidly emerging market, which has been implemented in a variety of different disease areas. Tuberculosis remains one of the most common causes of death from an infectious disease worldwide, and mHealth apps offer an important contribution to the improvement of tuberculosis treatment. In particular, apps facilitating dose individualization, adherence monitoring, or provision of information and education about the disease can be powerful tools to prevent the development of drug-resistant tuberculosis or disease relapse.
objectiveThe aim of this review was to identify, describe, and categorize mobile and Web-based apps related to tuberculosis that are currently available.
methodsPubMed, Google Play Store, Apple Store, Amazon, and Google were searched between February and July 2019 using a combination of 20 keywords. Apps were included in the analysis if they focused on tuberculosis, and were excluded if they were related to other disease areas or if they were games unrelated to tuberculosis. All apps matching the inclusion criteria were classified into the following five categories: adherence monitoring, individualized dosing, eLearning/information, diagnosis, and others. The included apps were then summarized and described based on publicly available information using 12 characteristics.
resultsFifty-five mHealth apps met the inclusion criteria and were included in this analysis. Of the 55 apps, 8 (15%) were intended to monitor patients' adherence, 6 (11%) were designed for dosage adjustment, 29 (53%) were designed for eLearning/information, 3 (6%) were focused on tuberculosis diagnosis, and 9 (16%) were related to other purposes.
conclusionsThe number of mHealth apps related to tuberculosis has increased during the past 3 years. Although some of the discovered apps seem promising, many were found to contain errors or provided harmful or wrong information. Moreover, the majority of mHealth apps currently on the market are focused on making information about tuberculosis available (29/55, 53%). Thus, this review highlights a need for new, high-quality mHealth apps supporting tuberculosis treatment, especially those supporting individualized optimized treatment through model-informed precision dosing and video observed treatment.
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.