Treatment selection in depression
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 …
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
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …
support risk stratification and individualized care within psychiatry. Despite growing interest …
The promise of machine learning in predicting treatment outcomes in psychiatry
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 …
medications or psychotherapies, in order to personalize their treatment choices. There is …
Stratified care vs stepped care for depression: A cluster randomized clinical trial
Importance Depression is a major cause of disability worldwide. Although empirically
supported treatments are available, there is scarce evidence on how to effectively …
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 …
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)
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 …
clinical practice will be described-the Trier Treatment Navigator (TTN). The paper deals with …
Measuring, predicting, and tracking change in psychotherapy
This chapter addresses fundamental issues of change in psychotherapy: how to measure,
monitor, predict change, and provide feedback on treatment outcome. The chapter starts …
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 …
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 …
Objective: Research on predictors of treatment outcome in depression has largely derived
from randomized clinical trials involving strict standardization of treatments, stringent patient …
from randomized clinical trials involving strict standardization of treatments, stringent patient …
Personalized treatment approaches.
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 …
optimize treatment for each individual has been an important challenge. For the therapist …