Title |
Development of a web-based intervention for the indicated prevention of depression
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, February 2013
|
DOI | 10.1186/1472-6947-13-26 |
Pubmed ID | |
Authors |
Saskia M Kelders, Wendy TM Pots, Maarten Jan Oskam, Ernst T Bohlmeijer, Julia EWC van Gemert-Pijnen |
Abstract |
To reduce the large public health burden of the high prevalence of depression, preventive interventions targeted at people at risk are essential and can be cost-effective. Web-based interventions are able to provide this care, but there is no agreement on how to best develop these applications and often the technology is seen as a given. This seems to be one of the main reasons that web-based interventions do not reach their full potential. The current study describes the development of a web-based intervention for the indicated prevention of depression, employing the CeHRes (Center for eHealth Research and Disease Management) roadmap. The goals are to create a user-friendly application which fits the values of the stakeholders and to evaluate the process of development. |
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Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 14% |
France | 1 | 14% |
United States | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Netherlands | 1 | <1% |
Norway | 1 | <1% |
Ireland | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
South Africa | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 1 | <1% |
Unknown | 169 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 47 | 26% |
Student > Master | 37 | 21% |
Researcher | 24 | 13% |
Student > Bachelor | 13 | 7% |
Student > Doctoral Student | 11 | 6% |
Other | 30 | 17% |
Unknown | 17 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 64 | 36% |
Computer Science | 24 | 13% |
Medicine and Dentistry | 20 | 11% |
Nursing and Health Professions | 13 | 7% |
Social Sciences | 12 | 7% |
Other | 26 | 15% |
Unknown | 20 | 11% |