ArticleBMC medical informatics and decision making2019
Constructing an assessment framework for the quality of asthma smartphone applications.
Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06116292 (Impact of the Implementation of a Telemedicine Program on Patients Diagnosed with Asthma), which is not on this map. Cited by 8 papers, 2 of them syntheses 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.
Impact of the Implementation of a Telemedicine Program on Patients Diagnosed with Asthma
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Developing a Comprehensive List of Criteria to Evaluate the Characteristics and Quality of eHealth Smartphone Apps: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Functionality and Quality of Asthma mHealth Apps and Their Consistency With International Guidelines: Structured Search and Evaluation.JMIR mHealth and uHealth · 2024Pooled it
- Impact of the implementation of a telemedicine program on patients diagnosed with asthma.BMC pulmonary medicine · 2024Trial
- Developing an Exercise Attitudes and Behavior Intentions Questionnaire for Survivors of Aortic Dissection: An Exploratory Factor Analysis.Reviews in cardiovascular medicine · 2022Article
- Functionality and Quality of Asthma mHealth Apps and Their Consistency With International Guidelines: Protocol for a Systematic Search and Evaluation of Mobile Apps.JMIR research protocols · 2022Article
- Identification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review.JMIR mHealth and uHealth · 2021Review
- Isn't There an App for That? The Role of Smartphone and Tablet Applications for Asthma Education and Self-Management in Adolescents.Children (Basel, Switzerland) · 2021Review
- New Concepts and Technological Resources in Patient Education and Asthma Self-Management.Clinical reviews in allergy & immunology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnhancing the self-management capability of asthma patients can improve their level of asthma control. Although the use of mobile health technology among asthmatics to facilitate self-management has become a growing area of research, studies of mobile health applications (apps), especially for evaluating indicators of asthma apps, are deficient in scope. This study aimed to develop a reliable framework to assess asthma apps (i.e., content and behavior change strategies) using the Delphi survey technique.
methodsAn initial list of quality rating criteria for asthma apps was derived from reviewing the literature and experts in the fields of respiratory disease and nursing informatics rated the items on the list in three rounds. The weights of items were determined employing an analytic hierarchy process (AHP).
resultsSixty-two items were retained within 10 domains. Consensus was reached on 32 items concerning asthma self-management education, 25 items concerning behavioral change strategies, and five items concerning principles for app design. There was moderate agreement among participants across all items in round three. The weights of the dimensions, sub-dimensions, and items ranged from 0.049 to 0.203, 0.138 to 1.000, and 0.064 to 1.000, respectively. All random consistency ratio values were less than 0.1.
conclusionsAsthma self-management education and strategies are essential parts to support self-management for patients. This analysis provides evidence of evaluating criteria for apps targeting chronic and common diseases.
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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.