Development of a model to predict psychotherapy response for depression among Veterans.
Hannah N ZiobrowskiRuifeng CuiEric L RossHoward LiuVictor Puac-PolancoBrett TurnerLucinda B LeungRobert M BossarteCorey BryantWilfred R PigeonDavid W OslinEdward P PostAlan M ZaslavskyJose R ZubizarretaAndrew A NierenbergAlex LuedtkeChris J KennedyRonald C KesslerPublished in: Psychological medicine (2022)
Patients with MDD could pre-emptively be informed of their likelihood of responding to psychotherapy using a prediction tool based on self-report data. This tool could meaningfully help patients and providers in shared decision-making, although parallel information about the likelihood of responding to alternative treatments would be needed to inform decision-making across multiple treatments.
Keyphrases
- end stage renal disease
- decision making
- ejection fraction
- newly diagnosed
- chronic kidney disease
- depressive symptoms
- prognostic factors
- major depressive disorder
- peritoneal dialysis
- healthcare
- big data
- machine learning
- posttraumatic stress disorder
- physical activity
- patient reported outcomes
- bipolar disorder
- borderline personality disorder
- data analysis