ArticleHospital pediatrics2019
Parent Preferences for Methods and Content of Mobile Technology-Based Asthma Medication Adherence Intervention.
Article in Hospital pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Effectiveness and Acceptability of Asynchronous Digital Health in Asthma Care: Mixed Methods Systematic Review.Journal of medical Internet research · 2024Pooled it
- Trial
- Parental needs and experiences with e-Health applications in chronic pediatric care - a scoping review.BMC pediatrics · 2026Article
- Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.JMIR formative research · 2021Article
- Experiences of Health Care Providers Using a Mobile Medical Photography Application.Applied clinical informatics · 2020Article
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 1 institution in 1 country.
Funding
Abstract
objectivesMobile technology-based asthma medication adherence interventions can be targeted to children during periods of high risk, including the transition from hospital to home or when refill behavior suggests declining adherence. Our objective was to develop insight into parent use of mobile technology and their preferences for a mobile technology-based asthma intervention.
methodsBy using qualitative methods, 20 interviews of parents of children with asthma were conducted. The open-ended, semistructured interview guides included questions about current mobile technology use, barriers to controller medication adherence, and preferences for methods and content of a mobile technology-based asthma intervention. Using grounded theory methodology, investigators coded the transcripts and identified emerging themes.
resultsTwenty parents completed interviews. Half of the children were 7 to 12 years old. Eighty percent had public insurance. Sixty-five percent had a previous hospitalization. Three major themes were identified: chronic disease management assistance, distinct preferences for risk communication, and electronic reachability. Chronic disease management assistance included parents recognizing that busy lifestyles contribute to adherence challenges and welcoming a program to assist them. Distinct preferences for risk communication included a preference for 2-way communication via text message or phone call at least monthly. Under the theme of electronic reachability, all enrolled parents had smartphones and used them daily.
conclusionsParents of children with asthma are open to communicating with asthma providers through mobile technology. This information can be used to inform the development of mobile technology-based interventions to improve care for children with asthma during periods of high risk, including the transition from hospital to home.
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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.