Literature DB >> 26995464

Prognostic and prescriptive predictors of improvement in a naturalistic study on inpatient and day hospital treatment of depression.

Almut Zeeck1, Jörn von Wietersheim2, Heinz Weiss3, Carl Eduard Scheidt4, Alexander Völker5, Astrid Helesic5, Annegret Eckhardt-Henn6, Manfred Beutel7, Katharina Endorf8, Franziska Treiber2, Peter Rochlitz9, Armin Hartmann8.   

Abstract

BACKGROUND: The study aimed to identify prognostic (associated with general outcome) and prescriptive (associated with differential outcome in two different settings) predictors of improvement in a naturalistic multi-center study on inpatient and day hospital treatment in major depressive disorder (MDD).
METHODS: 250 inpatients and 250 day hospital patients of eight psychosomatic hospitals were assessed at admission, discharge and a 3-months follow-up. Primary outcome was defined as a reduction of depressive symptomatology from admission to discharge and from discharge to follow-up (QIDS-C, total score). Percent improvement scores at discharge and at follow-up were entered as dependent variables into two General Linear Models with a set of predictor variables and the respective interaction terms with treatment setting. The selection of predictor sets was guided by statistical methods of variable preselection (LASSO).
RESULTS: Three variables were associated with less improvement from admission to discharge: the number of additional axis-I diagnoses, axis-II co-morbidity (SCID) and lower motivation (expert assessment). Social support (F-SozU) predicted symptom course between discharge and 3-month follow-up. Patients with no absent / sick days prior to admission showed a less favorable symptom course after discharge when treated as inpatients.
CONCLUSIONS: Patients with co-morbidity show less improvement during the active treatment phase. Motivation can be considered a prerequisite for symptom reduction, whereas social support seems to be an important factor for the maintenance of treatment gains. The lack in prescriptive predictors found may point to the fact that inpatient and day hospital treatment have comparable effects for most subgroups of patients with MDD.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Day hospital; Depression; Inpatient; Outcome; Predictors; Psychotherapy; Subgroups

Mesh:

Year:  2016        PMID: 26995464     DOI: 10.1016/j.jad.2016.03.039

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  7 in total

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

Authors:  Christian A Webb; Zachary D Cohen; Courtney Beard; Marie Forgeard; Andrew D Peckham; Thröstur Björgvinsson
Journal:  J Consult Clin Psychol       Date:  2020-01

2.  Follow-Up Treatment After Inpatient Therapy of Patients With Unipolar Depression-Compliance With the Guidelines?

Authors:  Lukas Weiß; Almut Zeeck; Edit Rottler; Heinz Weiß; Armin Hartmann; Jörn von Wietersheim
Journal:  Front Psychiatry       Date:  2020-08-07       Impact factor: 4.157

Review 3.  Prognosis and improved outcomes in major depression: a review.

Authors:  Christoph Kraus; Bashkim Kadriu; Rupert Lanzenberger; Carlos A Zarate; Siegfried Kasper
Journal:  Transl Psychiatry       Date:  2019-04-03       Impact factor: 6.222

4.  Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach.

Authors:  Johannes Simon Vetter; Katharina Schultebraucks; Isaac Galatzer-Levy; Heinz Boeker; Annette Brühl; Erich Seifritz; Birgit Kleim
Journal:  Sci Rep       Date:  2022-03-31       Impact factor: 4.379

5.  Self-Criticism and Personality Functioning Predict Patterns of Symptom Change in Major Depressive Disorder.

Authors:  Almut Zeeck; Jörn von Wietersheim; Heinz Weiss; Sabine Hermann; Katharina Endorf; Inga Lau; Armin Hartmann
Journal:  Front Psychiatry       Date:  2020-03-12       Impact factor: 4.157

6.  Do patients' resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder?

Authors:  Laura Marschollek; Udo Bonnet
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2021-06-30       Impact factor: 5.270

7.  Predictors for successful psychotherapy: Does migration status matter?

Authors:  Friederike Kobel; Yesim Erim; Eva Morawa
Journal:  PLoS One       Date:  2021-09-16       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.