Title |
Clinical and cost-effectiveness of computerised cognitive behavioural therapy for depression in primary care: Design of a randomised trial
|
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Published in |
BMC Public Health, June 2008
|
DOI | 10.1186/1471-2458-8-224 |
Pubmed ID | |
Authors |
L Esther de Graaf, Sylvia AH Gerhards, Silvia MAA Evers, Arnoud Arntz, Heleen Riper, Johan L Severens, Guy Widdershoven, Job FM Metsemakers, Marcus JH Huibers |
Abstract |
Major depression is a common mental health problem in the general population, associated with a substantial impact on quality of life and societal costs. However, many depressed patients in primary care do not receive the care they need. Reason for this is that pharmacotherapy is only effective in severely depressed patients and psychological treatments in primary care are scarce and costly. A more feasible treatment in primary care might be computerised cognitive behavioural therapy. This can be a self-help computer program based on the principles of cognitive behavioural therapy. Although previous studies suggest that computerised cognitive behavioural therapy is effective, more research is necessary. Therefore, the objective of the current study is to evaluate the (cost-) effectiveness of online computerised cognitive behavioural therapy for depression in primary care. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 1% |
Norway | 2 | <1% |
France | 1 | <1% |
Sweden | 1 | <1% |
Ireland | 1 | <1% |
Argentina | 1 | <1% |
Spain | 1 | <1% |
Unknown | 221 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 48 | 21% |
Researcher | 35 | 15% |
Student > Ph. D. Student | 31 | 13% |
Student > Bachelor | 26 | 11% |
Student > Doctoral Student | 16 | 7% |
Other | 46 | 20% |
Unknown | 29 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 83 | 36% |
Medicine and Dentistry | 43 | 19% |
Social Sciences | 16 | 7% |
Nursing and Health Professions | 13 | 6% |
Computer Science | 8 | 3% |
Other | 25 | 11% |
Unknown | 43 | 19% |