Title |
e-Monitoring of Asthma Therapy to Improve Compliance in children using a real-time medication monitoring system (RTMM): the e-MATIC study protocol
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Published in |
BMC Medical Informatics and Decision Making, March 2013
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DOI | 10.1186/1472-6947-13-38 |
Pubmed ID | |
Authors |
Erwin C Vasbinder, Hettie M Janssens, Maureen P M H Rutten-van Mölken, Liset van Dijk, Brenda C M de Winter, Ruben C A de Groot, Arnold G Vulto, Patricia M L A van den Bemt, e-MATIC Study Group |
Abstract |
Many 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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India | 2 | 20% |
Argentina | 1 | 10% |
Netherlands | 1 | 10% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 60% |
Practitioners (doctors, other healthcare professionals) | 3 | 30% |
Scientists | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Portugal | 2 | <1% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
Mexico | 1 | <1% |
United States | 1 | <1% |
Unknown | 236 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 38 | 16% |
Researcher | 36 | 15% |
Student > Ph. D. Student | 29 | 12% |
Student > Bachelor | 24 | 10% |
Student > Doctoral Student | 19 | 8% |
Other | 38 | 16% |
Unknown | 58 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 65 | 27% |
Psychology | 24 | 10% |
Nursing and Health Professions | 20 | 8% |
Social Sciences | 15 | 6% |
Computer Science | 13 | 5% |
Other | 38 | 16% |
Unknown | 67 | 28% |