Literature DB >> 28858659

Are self-report scales as effective as clinician rating scales in measuring treatment response in routine clinical practice?

Mark Zimmerman1, Emily Walsh2, Michael Friedman2, Daniela A Boerescu2, Naureen Attiullah2.   

Abstract

OBJECTIVE: Recent treatment guidelines have suggested that outcome should be measured in routine clinical practice. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we compared three self-report scales of depressive symptoms and the two most widely used clinician administered scales in treatment studies in their sensitivity to change and evaluation of treatment response in depressed patients treated in routine practice.
METHODS: At baseline and 4-month follow-up 153 depressed outpatients with DSM-IV MDD completed the Clinically Useful Depression Outcome Scale (CUDOS), Quick Inventory of Depressive Symptomatology-Self-report version (QIDS-SR), and Patient Health Questionnaire (PHQ-9). The patients were rated on the 17-item Hamilton Depression Rating Scale (HAMD) and the Montgomery-Asberg Depression Rating Scale (MADRS). On each scale treatment response was defined as a 50% or greater reduction in scores from baseline.
RESULTS: While there were some differences in the percentage of patients considered to be responders on the different scales, a large effect size was found for each scale, with little variability amongst the scales. The level of agreement between the three self-report scales and the clinician rating scales was approximately the same LIMITATIONS: The present study was conducted in a single clinical practice in which the majority of the patients were white, female, and had health insurance. DISCUSSION: When measuring outcome in clinical practice the magnitude of change in depressive symptoms is as great on self-report scales as on clinician rating scales.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CUDOS; Clinician rating; Depression; Hamilton; Outcome; PHQ-9; QIDS; Scale; Self-report

Mesh:

Year:  2017        PMID: 28858659     DOI: 10.1016/j.jad.2017.08.024

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


  8 in total

1.  Comparing patient and informant ratings of depressive symptoms in various stages of Alzheimer's disease.

Authors:  Dov Gold; Erlene Rosowsky; Irene Piryatinsky; Samuel Justin Sinclair
Journal:  Neuropsychology       Date:  2020-03-19       Impact factor: 3.295

2.  Graduate Students' Emotional Disorders and Associated Negative Life Events: A Cross-Sectional Study from Changsha, China.

Authors:  Xiao-Kun Liu; Shui-Yuan Xiao; Dan Luo; Jiang-Hua Zhang; Lu-Lu Qin; Xun-Qiang Yin
Journal:  Risk Manag Healthc Policy       Date:  2020-09-01

3.  Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial.

Authors:  Mark B Schure; Janet C Lindow; John H Greist; Paul A Nakonezny; Sandra J Bailey; William L Bryan; Matthew J Byerly
Journal:  J Med Internet Res       Date:  2019-11-18       Impact factor: 5.428

4.  Factorial structure of the Manchester Short Assessment of Quality of Life in patients with schizophrenia-spectrum disorders.

Authors:  Eleni Petkari; Domenico Giacco; Stefan Priebe
Journal:  Qual Life Res       Date:  2019-11-12       Impact factor: 4.147

5.  Association of depression symptom severity with short-term risk of an initial hospital encounter in adults with major depressive disorder.

Authors:  Jennifer Voelker; Kun Wang; Wenze Tang; Jinghua He; Ella Daly; Christopher D Pericone; John J Sheehan
Journal:  BMC Psychiatry       Date:  2021-05-17       Impact factor: 3.630

6.  A novel model to predict mental distress among medical graduate students in China.

Authors:  Fei Guo; Min Yi; Li Sun; Ting Luo; Ruili Han; Lanlan Zheng; Shengyang Jin; Jun Wang; Mingxing Lei; Changjun Gao
Journal:  BMC Psychiatry       Date:  2021-11-15       Impact factor: 3.630

Review 7.  Trends in (not) using scales in major depression: A categorization and clinical orientation.

Authors:  Koen Demyttenaere; Liesbeth Jaspers
Journal:  Eur Psychiatry       Date:  2020-09-23       Impact factor: 5.361

8.  Twelve-Month Follow-Up to a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention for Rural Adults With Depression Symptoms: Single-Arm Longitudinal Study.

Authors:  Mark Schure; Bernadette McCrory; Kathryn Tuchscherer Franklin; John Greist; Ruth Striegel Weissman
Journal:  J Med Internet Res       Date:  2020-10-02       Impact factor: 5.428

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.