Treatment selection in depression

ZD Cohen, RJ DeRubeis - Annual Review of Clinical …, 2018 - annualreviews.org
Mental health researchers and clinicians have long sought answers to the question “What
works for whom?” The goal of precision medicine is to provide evidence-based answers to …

Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges

AJ Meehan, SJ Lewis, S Fazel, P Fusar-Poli… - Molecular …, 2022 - nature.com
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

The promise of machine learning in predicting treatment outcomes in psychiatry

AM Chekroud, J Bondar, J Delgadillo… - World …, 2021 - Wiley Online Library
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …

Stratified care vs stepped care for depression: A cluster randomized clinical trial

J Delgadillo, S Ali, K Fleck, C Agnew… - JAMA …, 2022 - jamanetwork.com
Importance Depression is a major cause of disability worldwide. Although empirically
supported treatments are available, there is scarce evidence on how to effectively …

Improving Access to Psychological Therapies (IAPT) in the United Kingdom: A systematic review and meta‐analysis of 10‐years of practice‐based evidence

S Wakefield, S Kellett… - British Journal of …, 2021 - Wiley Online Library
Objectives Improving Access to Psychological Therapies (IAPT) is a national‐level
dissemination programme for provision of evidence‐based psychological treatments for …

Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN)

W Lutz, JA Rubel, B Schwartz, V Schilling… - Behaviour research and …, 2019 - Elsevier
In this study, a computer-based feedback, decision and clinical problem-solving system for
clinical practice will be described-the Trier Treatment Navigator (TTN). The paper deals with …

Measuring, predicting, and tracking change in psychotherapy

W Lutz, K de Jong, JA Rubel… - Bergin and Garfield's …, 2021 - books.google.com
This chapter addresses fundamental issues of change in psychotherapy: how to measure,
monitor, predict change, and provide feedback on treatment outcome. The chapter starts …

Targeted prescription of cognitive–behavioral therapy versus person-centered counseling for depression using a machine learning approach.

J Delgadillo… - Journal of Consulting and …, 2020 - psycnet.apa.org
Objective: Depression is a highly common mental disorder and a major cause of disability
worldwide. Several psychological interventions are available, but there is a lack of evidence …

Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning …

CA Webb, ZD Cohen, C Beard, M Forgeard… - Journal of Consulting …, 2020 - psycnet.apa.org
Objective: Research on predictors of treatment outcome in depression has largely derived
from randomized clinical trials involving strict standardization of treatments, stringent patient …

Personalized treatment approaches.

ZD Cohen, J Delgadillo, RJ DeRubeis - 2021 - psycnet.apa.org
In the modern history of psychotherapy, understanding the individual patient and how to
optimize treatment for each individual has been an important challenge. For the therapist …