Zobrazeno 1 - 10 of 44 pro vyhledávání: '"Zachary D Cohen"'
1
Akademický článek
A Novel Peer-to-Peer Coaching Program to Support Digital Mental Health: Design and Implementation
Autor: Benjamin M Rosenberg, Tamar Kodish, Zachary D Cohen, Elizabeth Gong-Guy, Michelle G Craske
Publikováno v: JMIR Mental Health, Vol 9, Iss 1, p e32430 (2022)
Many individuals in need of mental health services do not currently receive care. Scalable programs are needed to reduce the burden of mental illness among those without access to existing providers. Digital interventions present an avenue for increa
Externí odkaz: https://doaj.org/article/cba6ddef4c2246dc928f2a01cfa6f7f5
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3
Akademický článek
Predicting Optimal Outcomes in Cognitive Therapy or Interpersonal Psychotherapy for Depressed Individuals Using the Personalized Advantage Index Approach.
Autor: Marcus J H Huibers, Zachary D Cohen, Lotte H J M Lemmens, Arnoud Arntz, Frenk P M L Peeters, Pim Cuijpers, Robert J DeRubeis
Publikováno v: PLoS ONE, Vol 10, Iss 11, p e0140771 (2015)
Although psychotherapies for depression produce equivalent outcomes, individual patients respond differently to different therapies. Predictors of outcome have been identified in the context of randomized trials, but this information has not been use
Externí odkaz: https://doaj.org/article/9e24bd302b3d4b1bab7e2314677f2064
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4
Akademický článek
The Personalized Advantage Index: translating research on prediction into individualized treatment recommendations. A demonstration.
Autor: Robert J DeRubeis, Zachary D Cohen, Nicholas R Forand, Jay C Fournier, Lois A Gelfand, Lorenzo Lorenzo-Luaces
Publikováno v: PLoS ONE, Vol 9, Iss 1, p e83875 (2014)
Advances in personalized medicine require the identification of variables that predict differential response to treatments as well as the development and refinement of methods to transform predictive information into actionable recommendations.To ill
Externí odkaz: https://doaj.org/article/d0075f70facb4b68b38a3ab829022d9c
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5
Akademický článek
Evaluating the Effectiveness of Personalized Medicine With Software
Autor: Adam Kapelner, Justin Bleich, Alina Levine, Zachary D. Cohen, Robert J. DeRubeis, Richard Berk
Publikováno v: Frontiers in Big Data, Vol 4 (2021)
We present methodological advances in understanding the effectiveness of personalized medicine models and supply easy-to-use open-source software. Personalized medicine involves the systematic use of individual patient characteristics to determine wh
Externí odkaz: https://doaj.org/article/73b2f78f4da7461085359470258508e0
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6
Akademický článek
What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database [version 3; peer review: 2 approved]
Autor: Joshua E.J. Buckman, Rob Saunders, Zachary D. Cohen, Katherine Clarke, Gareth Ambler, Robert J. DeRubeis, Simon Gilbody, Steven D. Hollon, Tony Kendrick, Edward Watkins, Ian R. White, Glyn Lewis, Stephen Pilling
Publikováno v: Wellcome Open Research, Vol 4 (2020)
Background: Pre-treatment severity is a key indicator of prognosis for those with depression. Knowledge is limited on how best to encompass severity of disorders. A number of non-severity related factors such as social support and life events are als
Externí odkaz: https://doaj.org/article/b7a5ec9e3d934d8ea4937975d57faefe
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7
The Development and Internal Evaluation of a Predictive Model to Identify for Whom Mindfulness-Based Cognitive Therapy Offers Superior Relapse Prevention for Recurrent Depression Versus Maintenance Antidepressant Medication
Autor: Susanne Schweizer, Rachel Hayes, Robert J. DeRubeis, Catherine Crane, Richard Byng, Sarah Byford, Zachary D. Cohen, Edward R. Watkins, Tim Dalgleish, Willem Kuyken, Glyn Lewis
Publikováno v: Clinical Psychological Science. 11:59-76
Depression is highly recurrent, even following successful pharmacological and/or psychological intervention. We aimed to develop clinical prediction models to inform adults with recurrent depression choosing between antidepressant medication (ADM) ma
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5ff4620a12b45ff1f996f9c2b88f97
https://doi.org/10.1177/21677026221076832
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8
The Nature, Timing, and Symptom Trajectories of Dropout From Transdiagnostic and Single-Diagnosis Cognitive-Behavioral Therapy for Anxiety Disorders
Autor: Thomas T Kim, Kate H. Bentley, Clair Cassiello-Robbins, Sophia Sbi, Todd J. Farchione, Jacqueline R. Bullis, Maya Nauphal, Shannon Sauer-Zavala, David H. Barlow, Zachary D. Cohen, Matthew W. Gallagher
Publikováno v: Behav Ther
Dropout from psychotherapy is common and can have negative effects for patients, providers, and researchers. A better understanding of when and why patients stop treatment early, as well as actionable factors contributing to dropout, has the potentia
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ad29c243ee99bb500e1cd75b1882b0b
https://doi.org/10.1016/j.beth.2021.03.007
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9
Efficacy and moderators of cognitive therapy versus behavioural activation for adults with depression:study protocol of a systematic review and meta-analysis of individual participant data
Autor: Ellen Driessen, Zachary D. Cohen, Lorenzo Lorenzo-Luaces, Steven D. Hollon, David A. Richards, Keith S. Dobson, Sona Dimidjian, Jaime Delgadillo, Fernando L. Vázquez, Kathleen McNamara, John J. Horan, Pauline Gardner, Tian P. Oei, Anuj H. P. Mehta, Jos W. R. Twisk, Ioana A. Cristea, Pim Cuijpers
Publikováno v: Driessen, E, Cohen, Z D, Lorenzo-Luaces, L, Hollon, S D, Richards, D A, Dobson, K S, Dimidjian, S, Delgadillo, J, Vázquez, F L, McNamara, K, Horan, J J, Gardner, P, Oei, T P, Mehta, A H P, Twisk, J W R, Cristea, I A & Cuijpers, P 2022, ' Efficacy and moderators of cognitive therapy versus behavioural activation for adults with depression : study protocol of a systematic review and meta-analysis of individual participant data ', BJPsych Open, vol. 8, no. 5, e154 . https://doi.org/10.1192/bjo.2022.560
BJPsych Open
Driessen, E, Cohen, Z D, Lorenzo-Luaces, L, Hollon, S D, Richards, D A, Dobson, K S, Dimidjian, S, Delgadillo, J, Vázquez, F L, McNamara, K, Horan, J J, Gardner, P, Oei, T P, Mehta, A H P, Twisk, J W R, Cristea, I A & Cuijpers, P 2022, ' Efficacy and moderators of cognitive therapy versus behavioural activation for adults with depression : study protocol of a systematic review and meta-analysis of individual participant data ', BJPSYCH OPEN, vol. 8, no. 5, e154 . https://doi.org/10.1192/bjo.2022.560
British Journal of Psychiatry Open, 8, 5
BJPSYCH OPEN, 8(5):e154. Cambridge University Press
British Journal of Psychiatry Open, 8
BJPsych Open, 8(5):e154. Cambridge University Press
Background Cognitive therapy and behavioural activation are both widely applied and effective psychotherapies for depression, but it is unclear which works best for whom. Individual participant data (IPD) meta-analysis allows for examining moderators
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2c07de5850e6d575e3a4c764169acb9
https://hdl.handle.net/1871.1/9d04a9fd-d70a-4726-8f80-121f7a50885f
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10
A demonstration of a multi-method variable selection approach for treatment selection: Recommending cognitive-behavioral versus psychodynamic therapy for mild to moderate adult depression
Autor: Ellen Driessen, Jack Dekker, Zachary D. Cohen, Thomas T Kim, Henricus L. Van
Publikováno v: Cohen, Z D, Kim, T T, Van, H L, Dekker, J J M & Driessen, E 2020, ' A demonstration of a multi-method variable selection approach for treatment selection : Recommending cognitive–behavioral versus psychodynamic therapy for mild to moderate adult depression ', Psychotherapy Research, vol. 30, no. 2, pp. 137-150 . https://doi.org/10.1080/10503307.2018.1563312
Psychotherapy Research, 30, 2, pp. 137-150
Psychotherapy Research, 30, 137-150
Psychotherapy Research, 30(2), 137-150. Routledge
Objective: Treatment selection could improve outcomes by helping individuals select their optimal intervention. We refine the Personalized Advantage Index approach to generate individual treatment recommendations based on pre-treatment characteristic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84a472b0e0952375810c725cdcf2c962
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