| Title |
Effectiveness of Cognitive Behavioral Therapy for Depression in Patients Receiving Disability Benefits: A Systematic Review and Individual Patient Data Meta-Analysis
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0050202 |
| Pubmed ID | |
| Authors |
Shanil Ebrahim, Luis Montoya, Wanda Truong, Sandy Hsu, Mostafa Kamal el Din, Alonso Carrasco-Labra, Jason W. Busse, Stephen D. Walter, Diane Heels-Ansdell, Rachel Couban, Irene Patelis-Siotis, Marg Bellman, L. Esther de Graaf, David J. A. Dozois, Peter J. Bieling, Gordon H. Guyatt |
| Abstract |
To systematically summarize the randomized trial evidence regarding the relative effectiveness of cognitive behavioural therapy (CBT) in patients with depression in receipt of disability benefits in comparison to those not receiving disability benefits. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 29% |
| United Kingdom | 2 | 29% |
| Sweden | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Barbados | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 90 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 15% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Student > Doctoral Student | 7 | 8% |
| Other | 24 | 26% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 26 | 28% |
| Medicine and Dentistry | 24 | 26% |
| Agricultural and Biological Sciences | 4 | 4% |
| Business, Management and Accounting | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 11 | 12% |
| Unknown | 22 | 24% |