Trial reportBMC medical informatics and decision making2013
e-Monitoring of Asthma Therapy to Improve Compliance in children using a real-time medication monitoring system (RTMM): the e-MATIC study protocol.
Trial report in BMC medical informatics and decision making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 5 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Pooled it
- Interventions to improve adherence to inhaled steroids for asthma.The Cochrane database of systematic reviews · 2017Pooled it
- Home telemonitoring and remote feedback between clinic visits for asthma.The Cochrane database of systematic reviews · 2016Pooled it
- Remote versus face-to-face check-ups for asthma.The Cochrane database of systematic reviews · 2016Pooled it
- The use of behavior change theory in Internet-based asthma self-management interventions: a systematic review.Journal of medical Internet research · 2015Pooled it
- Evaluation of a web-based asthma self-management system: a randomised controlled pilot trial.BMC pulmonary medicine · 2015Trial
- What Really Happens in the Home: The Medication Environment of Urban, Minority Youth.The journal of allergy and clinical immunology. In practiceTrial
- eHealth Technologies for Monitoring Pediatric Asthma at Home: Scoping Review.Journal of medical Internet research · 2023Article
- Article
- Doctor reported outcomes: Real-world data from a tertiary eye cancer center.Indian journal of ophthalmology · 2021Article
- A Clinically Integrated mHealth App and Practice Model for Collecting Patient-Reported Outcomes between Visits for Asthma Patients: Implementation and Feasibility.Applied clinical informatics · 2019Article
- Assessing methods of measuring medication adherence in chronically ill children-a narrative review.Patient preference and adherence · 2019Review
- Developing and Evaluating Parents' Satisfaction with a Website to Manage Pediatric Asthma.Perspectives in health information managemen · 2019Article
- Core Components for a Clinically Integrated mHealth App for Asthma Symptom Monitoring.Applied clinical informatics · 2017Article
- The performance of mHealth in cancer supportive care: a research agenda.Journal of medical Internet research · 2015Article
- Applying Human-Centered Design to the Development of an Asthma Essentials Kit for School-Aged Children and Their Parents.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & PractitionersReview
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 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany children with asthma do not have sufficient asthma control, which leads to increased healthcare costs and productivity loss of parents. One of the causative factors are adherence problems. Effective interventions improving medication adherence may therefore improve asthma control and reduce costs. A promising solution is sending real time text-messages via the mobile phone network, when a medicine is about to be forgotten. As the effect of real time text-messages in children with asthma is unknown, the primary aim of this study is to determine the effect of a Real Time Medication Monitoring system (RTMM) with text-messages on adherence to inhaled corticosteroids (ICS). The secondary objective is to study the effects of RTMM on asthma control, quality of life and cost-effectiveness of treatment.
methodsA multicenter, randomized controlled trial involving 220 children (4-11 years) using ICS for asthma. All children receive an RTMM-device for one year, which registers time and date of ICS doses. Children in the intervention group also receive tailored text-messages, sent only when a dose is at risk of omission. Primary outcome measure is the proportion of ICS dosages taken within the individually predefined time-interval. Secondary outcome measures include asthma control (monthly Asthma Control Tests), asthma exacerbations, healthcare use (collected from hospital records, patient reports and pharmacy record data), and disease-specific quality of life (PAQLQ questionnaire). Parental and children's acceptance of RTMM is evaluated with online focus groups and patient questionnaires. An economic evaluation is performed adopting a societal perspective, including relevant healthcare costs and parental productivity loss. Furthermore, a decision-analytic model is developed in which different levels of adherence are associated with clinical and financial outcomes. Also, sensitivity analyses are carried out on different price levels for RTMM. DISCUSSION: If RTMM with tailored text-message reminders proves to be effective, this technique can be used in daily practice, which would support children with suboptimal adherence in their asthma (self)management and in achieving better asthma control and better quality of life.
trial registrationNetherlands Trial Register NTR2583.
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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.