Title |
Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward
|
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Published in |
Behaviour Research & Therapy, December 2023
|
DOI | 10.1016/j.brat.2023.104443 |
Pubmed ID | |
Authors |
Anne-Katharina Deisenhofer, Michael Barkham, Esther T. Beierl, Brian Schwartz, Katie Aafjes-van Doorn, Christopher G. Beevers, Isabel M. Berwian, Simon E. Blackwell, Claudi L. Bockting, Eva-Lotta Brakemeier, Gary Brown, Joshua E.J. Buckman, Louis G. Castonguay, Claire E. Cusack, Tim Dalgleish, Kim de Jong, Jaime Delgadillo, Robert J. DeRubeis, Ellen Driessen, Jill Ehrenreich-May, Aaron J. Fisher, Eiko I. Fried, Jessica Fritz, Toshi A. Furukawa, Claire M. Gillan, Juan Martín Gómez Penedo, Peter F. Hitchcock, Stefan G. Hofmann, Steven D. Hollon, Nicholas C. Jacobson, Daniel R. Karlin, Chi Tak Lee, Cheri A. Levinson, Lorenzo Lorenzo-Luaces, Riley McDanal, Danilo Moggia, Mei Yi Ng, Lesley A. Norris, Vikram Patel, Marilyn L. Piccirillo, Stephen Pilling, Julian A. Rubel, Gonzalo Salazar-de-Pablo, Rob Saunders, Jessica L. Schleider, Paula P. Schnurr, Stephen M. Schueller, Greg J. Siegle, Rudolf Uher, Ed Watkins, Christian A. Webb, Shannon Wiltsey Stirman, Laure Wynants, Soo Jeong Youn, Sigal Zilcha-Mano, Wolfgang Lutz, Zachary D. Cohen |
X Demographics
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Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 14 | 29% |
Germany | 5 | 10% |
United Kingdom | 4 | 8% |
Spain | 4 | 8% |
Australia | 2 | 4% |
Ireland | 1 | 2% |
Sao Tome and Principe | 1 | 2% |
Unknown | 17 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 31 | 65% |
Members of the public | 15 | 31% |
Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 53 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 6 | 11% |
Student > Ph. D. Student | 5 | 9% |
Researcher | 5 | 9% |
Student > Master | 4 | 8% |
Other | 3 | 6% |
Other | 11 | 21% |
Unknown | 19 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 15 | 28% |
Unspecified | 3 | 6% |
Computer Science | 2 | 4% |
Arts and Humanities | 1 | 2% |
Nursing and Health Professions | 1 | 2% |
Other | 6 | 11% |
Unknown | 25 | 47% |