Title |
A tailored, interactive health communication application for patients with type 2 diabetes: study protocol of a randomised controlled trial
|
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Published in |
BMC Medical Informatics and Decision Making, February 2013
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DOI | 10.1186/1472-6947-13-24 |
Pubmed ID | |
Authors |
Nina Weymann, Martin Härter, Jörg Dirmaier |
Abstract |
Type 2 diabetes is an increasingly common chronic condition whose prognosis can be improved by patient involvement and self-management. Patient involvement can be fostered by web-based Interactive Health Communication Applications (IHCAs) combining health information with decision support, social support and/or behaviour change support. They reach great numbers of patients at low cost and provide high-quality information and support at the time, place and learning speed patients prefer. Still, online tools often suffer from high attrition. Tailoring content and tone of IHCAs to the individual patient´s needs might improve their effectiveness. This study aims to test the effectiveness and usage of a tailored IHCA combining health information with decision support and behaviour change support for patients with type 2 diabetes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 1% |
United States | 2 | 1% |
Denmark | 1 | <1% |
Australia | 1 | <1% |
Unknown | 181 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 41 | 22% |
Student > Ph. D. Student | 31 | 17% |
Student > Bachelor | 21 | 11% |
Student > Doctoral Student | 12 | 6% |
Researcher | 11 | 6% |
Other | 31 | 17% |
Unknown | 40 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 47 | 25% |
Nursing and Health Professions | 23 | 12% |
Social Sciences | 17 | 9% |
Psychology | 11 | 6% |
Computer Science | 7 | 4% |
Other | 30 | 16% |
Unknown | 52 | 28% |