ReviewNetwork modeling and analysis in health informatics and bioinformatics2023
Mobile heath applications for self-management in chronic lung disease: a systematic review.
Review in Network modeling and analysis in health informatics and bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Endometriosis Support and Development of Digital Technology-Based Interventions: Systematic Review.JMIR human factors · 2025Pooled it
- When medical knowledge is not enough: medication adherence and self-treatment among physicians with chronic illness in Upper Egypt.Discover mental health · 2026Article
- Five years of app evaluation: Insights from a framework in practice - a systematic review on the m-health index and navigation database.Internet interventions · 2025Article
- An mHealth App and System Architecture for Respiratory Disease Management: Design Principles, Tool Development, and Pilot Usability Study.JMIR formative research · 2025Article
- Development of a Theory-Based mHealth App for Fatigue Management in Lupus: Human-Centered Design Approach.JMIR formative research · 2025Article
- Telehealth in sarcoidosis: a scoping review.BMC pulmonary medicine · 2025Article
- Reviewing Mobile Apps for Teaching Human Anatomy: Search and Quality Evaluation Study.JMIR medical education · 2025Article
- The Use of Mobile Health Care Among Medical Professionals in the Sichuan-Chongqing Region: Cross-Sectional Survey Study.JMIR human factors · 2024Article
- A mobile-based self-care application for patients with chronic obstructive pulmonary disease: A protocol for design, implementation, and evaluation.Health science reports · 2024Article
- Assessing the clinical benefit, safety, and patient-reported outcomes with the use of the PAHcare™ digital platform in pulmonary arterial hypertension: a pilot study.Frontiers in public health · 2024Article
- Adapting a digital monitoring system for self-management to geriatric COPD rehabilitation: A participatory mixed method study.Digital healthArticle
- Patients and healthcare practitioners' perspective on the development of a digital interprofessional intervention for COPD.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Integration of mobile health (mHealth) applications (apps) into chronic lung disease management is becoming increasingly popular. MHealth apps may support adoption of self-management behaviors to assist people in symptoms control and quality of life enhancement. However, mHealth apps' designs, features, and content are inconsistently reported, making it difficult to determine which were the effective components. Therefore, this review aims to summarize the characteristics and features of published mHealth apps for chronic lung diseases. A structured search strategy across five databases (CINAHL, Medline, Embase, Scopus and Cochrane) was performed. Randomized controlled trials investigating interactive mHealth apps in adults with chronic lung disease were included. Screening and full-text reviews were completed by three reviewers using Research Screener and Covidence. Data extraction followed the mHealth Index and Navigation Database (MIND) Evaluation Framework (https://mindapps.org/), a tool designed to help clinicians determine the best mHealth apps to address patients' needs. Over 90,000 articles were screened, with 16 papers included. Fifteen distinct apps were identified, 8 for chronic obstructive pulmonary disease (53%) and 7 for asthma (46%) self-management. Different resources informed app design approaches, accompanied with varying qualities and features across studies. Common reported features included symptom tracking, medication reminders, education, and clinical support. There was insufficient information to answer MIND questions regarding security and privacy, and only five apps had additional publications to support their clinical foundation. Current studies reported designs and features of self-management apps differently. These app design variations create challenges in determining their effectiveness and suitability for chronic lung disease self-management. Supplementary Information: The online version contains supplementary material available at 10.1007/s13721-023-00419-0.
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.