ArticleApplied clinical informatics2019
A Clinically Integrated mHealth App and Practice Model for Collecting Patient-Reported Outcomes between Visits for Asthma Patients: Implementation and Feasibility.
Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06364527 (Use of Aptar Digital Health's Respiratory Disease Management Platform for Asthma), which is not on this map. Cited by 25 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.
Use of Aptar Digital Health's Respiratory Disease Management Platform for Asthma: A Pilot Study
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of Digital Health on Patient-Provider Relationships in Respiratory Secondary Care Based on Qualitative and Quantitative Evidence: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Between-Visit Asthma Symptom Monitoring With a Scalable Digital Intervention: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Evaluation of a Primary Care-Integrated Mobile Health Intervention to Monitor between-Visit Asthma Symptoms.Applied clinical informatics · 2024Trial
- Impact of Patient Portals on Asthma and Chronic Obstructive Pulmonary Disease-Related Quality-of-Care Outcomes: Systematic Review.Online journal of public health informatics · 2026Review
- Evaluating the Effectiveness of Nonpharmacological Self-Management Interventions for Persistent Pain: Protocol for Single-Case Experimental Designs.JMIR research protocols · 2026Article
- The Impact of Patient-Generated Health Data From Mobile Health Technologies on Health Care Management and Clinical Decision-Making: Narrative Scoping Review.Journal of medical Internet research · 2025Article
- Tailoring Rheumatoid Arthritis Visit Timing Based on mHealth App Data: Mixed Methods Assessment of Implementation and Usability.JMIR formative research · 2025Article
- Collection of Patient-Reported Outcome Measures in Rural and Underserved Populations.Applied clinical informatics · 2025Article
- Current Implementation of Digital Health in Chronic Disease Management: Scoping Review.Journal of medical Internet research · 2024Article
- Enhancing Adult Asthma Management: A Review on the Utility of Remote Home Spirometry and Mobile Applications.Journal of personalized medicine · 2024Review
- Artificial intelligence in diabetes management: Advancements, opportunities, and challenges.Cell reports. Medicine · 2023Review
- Examining primary care provider experiences with using a clinical decision support tool for pain management.JAMIA open · 2023Article
- Assessing Equitable Recruitment in a Digital Health Trial for Asthma.Applied clinical informatics · 2023Article
- Development and Testing of an Electronic Health Record-Integrated Patient-Reported Outcome Application and Intervention to Improve Efficiency of Rheumatoid Arthritis Care.ACR open rheumatology · 2022Article
- User Experience Design for Adoption of Asthma Clinical Decision Support Tools.Applied clinical informatics · 2022Article
- Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review.Journal of medical Internet research · 2022Review
- The development of an instrument to predict patients' adoption of mHealth in the developing world.Informatics in medicine unlocked · 2022Article
- Smartphone App for monitoring Asthma in children and adolescents.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Article
- User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers.Applied clinical informatics · 2021Article
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.
Funding
Abstract
objectiveMobile health (mHealth) apps may prove to be useful tools for supporting chronic disease management. We assessed the feasibility of implementing a clinically integrated mHealth app and practice model to facilitate between-visit asthma symptom monitoring as per guidelines and with the help of patient-reported outcomes (PRO).
methodsWe implemented the intervention at two pulmonary clinics and conducted a mixed-methods analysis of app usage data and semi-structured interview of patients and clinician participants over a 25-week study period.
resultsFive physicians, 1 physician's assistant, 1 nurse, and 26 patients participated. Twenty-four patients (92%) were still participating in the intervention at the end of the 25-week study period. On average, each patient participant completed 21 of 25 questionnaires (84% completion rate). Weekly completion rates were higher for participants who were female (88 vs. 73%,
conclusionImplementation of a clinically integrated mHealth app and practice model can achieve high patient retention and adherence to guideline-recommended asthma symptom monitoring, while minimally burdening clinicians. The intervention has the potential for scaling to primary care and reducing utilization of urgent and emergency care.
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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.