Trial reportPloS one2017
Impact of online patient reminders to improve asthma care: A randomized controlled trial.
Trial report in PloS one, 2017. 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 14 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.
Improving the Quality of Asthma Care Using the Internet
Impact of the Implementation of a Telemedicine Program on Patients Diagnosed with Asthma
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Effectiveness of digital health interventions for asthma: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Digital interventions to improve adherence to maintenance medication in asthma.The Cochrane database of systematic reviews · 2022Pooled it
- Impact of the implementation of a telemedicine program on patients diagnosed with asthma.BMC pulmonary medicine · 2024Trial
- Asthma dissemination around patient-centered treatments in North Carolina (ADAPT-NC): a cluster randomized control trial evaluating dissemination of an evidence-based shared decision-making intervention for asthma management.The Journal of asthma : official journal of the Association for the Care of Asthma · 2019Trial
- An Overview of Adherence-What It Is and Why It Is Important.The journal of allergy and clinical immunology. In practice · 2024Review
- 30-day Spirometry Holter method design and prospective observational study.Scientific reports · 2024Observational
- Article
- Article
- Asthma Patients' Use of Cell Phone Features and Their Willingness to Use Them for Self-Management.Cureus · 2022Article
- Effectiveness of Text Message Reminders on Adherence to Inhaled Therapy in Patients With Asthma: Prospective Multicenter Randomized Clinical Trial.JMIR formative research · 2021Article
- New Concepts and Technological Resources in Patient Education and Asthma Self-Management.Clinical reviews in allergy & immunology · 2020Review
- The Potential of Clinical Decision Support Systems for Prevention, Diagnosis, and Monitoring of Allergic Diseases.Frontiers in immunology · 2020Review
- Digital technologies and adherence in respiratory diseases: the road ahead.The European respiratory journal · 2018Review
- Asthma Management in the Era of Smart-Medicine: Devices, Gadgets, Apps and Telemedicine.Indian journal of pediatrics · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
importanceAsthma is one of the most burdensome chronic illnesses in the US. Despite widespread dissemination of evidence-based guidelines, more than half of the adults with asthma have uncontrolled symptoms.
objectiveTo examine the efficacy of an online tool designed to improve asthma control.
design12-month single blind randomized controlled trial of the online tool (Intervention condition, IC) versus an active control tool (CC).
settingPatients enrolled in an insurance plan.
participantsParticipants were 408 adults (21-60 years of age) with persistent asthma.
interventionAt least once each month and before provider visits, participants in the IC answered questions online about their asthma symptoms, asthma medications and asthma care received from providers, such as an asthma management plan. The tool then provided tailored feedback to remind patients 1) to ask health care providers specific questions that may improve asthma control (e.g., additional controller medications) and 2) to consistently perform specific self-care behaviors (e.g., proper inhaler technique). Participants in the CC received similar questions and feedback, yet focused instead on preventive services unrelated to asthma control (e.g., cancer screening).
main outcome measuresThe main outcome measure was asthma control, as assessed by the 5-question Asthma Control Test (ACT). Secondary outcomes included quality of life, medication use and healthcare utilization (e.g., emergency department visits).
resultsAfter 12 months, 323 participants completed follow-up measures (79.2%). Participants in the IC reported a greater mean improvement in the ACT score than participants in the CC (2.3 vs. 1.2; p = 0.02) and 9 of 11 individual asthma control survey items showed non-significant improvements favoring the IC. No differences were observed in medication adherence, number of asthma controller medications or health care utilization. CONCLUSION AND RELEVANCE: Simple and brief online patient reminders improved asthma control among insured patients. Although future studies are needed to understand the mechanism of the improvement, the magnitude of the effect on asthma control was similar to the addition of an additional controller medication. Given the widespread use of the Internet, simple tools such as this may be useful for improving the control of other chronic diseases as well.
trial registrationThis study is registered at clinicaltrials.gov, NCT00921401, "Improving the Quality of Asthma Care Using the Internet".
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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.