ArticleAllergy, asthma & immunology research2022
Asthma Management Using the Mobile Asthma Evaluation and Management System in China.
Article in Allergy, asthma & immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
National Mobile Asthma Management System-E Project
The Effect of Mobile Application Game Training Designed for Children With Asthma on Asthma Management
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Effectiveness of digital health interventions for asthma: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Follow-up study on factors influencing the persistence of asthma in discharged children.BMC pediatrics · 2026Article
- Impact of non-pharmacological adjuvant interventions on adult asthma patients: a systematic review and network meta-analysis.Journal of thoracic disease · 2026Article
- The effects of different follow-up management on asthma control: a prospective cohort study.BMC pulmonary medicine · 2025Article
- Mechanisms Underlying the Therapeutic Effects of Yiqi Wenyang Huwei Decoction in Treating Asthma Based on GEO Datasets, Network Pharmacology, Experimental Validation, and Molecular Docking.Combinatorial chemistry & high throughput screening · 2025Article
- Caregiver burden among parents of school-age children with asthma: a cross-sectional study.Frontiers in public health · 2024Article
- Mobile heath applications for self-management in chronic lung disease: a systematic review.Network modeling and analysis in health informatics and bioinformatics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
34 authors at 20 institutions in 1 country.
Funding
Abstract
purposeAs stated in the Global Initiative for Asthma, there are still some asthmatic patients who have not achieved asthma control. Mobile is a useful tool for asthma management. We aimed to compare the advantages of mobile management with traditional management in improving adherence and control of asthma.
methodsIn this prospective, multicentre, randomized, controlled and parallel-group study, we enrolled patients with poor adherence and uncontrolled asthma at 32 hospitals in 28 provinces in China. Patients were randomly assigned to the mobile management or traditional management groups for 12 months. The primary endpoint was the proportion of patients with good adherence (Medication Adherence Report Scale for Asthma [MARS-A] score ≥ 45) for 6 months. This study is registered at ClinicalTrials.gov (NCT02917174).
resultsBetween April 2017 and April 2018, 923 patients were eligible for randomization (mobile group, n = 461; traditional group, n = 462). Dropout was 84 (18.2%) in the mobile management group and 113 (24.4%) patients in the traditional management group. The proportion of patients with good adherence was significantly higher in the mobile management group than in the traditional management group (66.0% vs. 58.99%,
conclusionsMobile asthma management can improve adherence and asthma control compared to traditional management.
trial registrationClinicalTrials.gov Identifier: NCT02917174.
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.