Literature DB >> 34091381

Not sad enough for a depression trial? A systematic review of depression measures and cut points in clinical trial registrations.

Michael von Glischinski1, Ruth von Brachel2, Christian Thiele3, Gerrit Hirschfeld3.   

Abstract

INTRODUCTION: Patient reported outcomes are central to the evaluation of behavioral, drug, or somatic interventions focusing depression. Continuous measures are mostly interpreted with cut points that serve as inclusion criteria and define remission. The present review provides an overview of measures (BDI; BDI-II; CESD; HADS; HAMD-17; MADRS; PHQ-9; QIDS) and cut points in clinical trials on depression and tests for systematic differences concerning varying types of interventions.
METHODS: We analyzed 2632 trials registered via clinicaltrials.gov registered between 2000/01/01 - 2019/12/31 that used one or more pre-specified measures of depression of which 1600 reported cut points for either inclusion of participants or the definition of clinical remission.
RESULTS: The included studies more often used clinician-administered scales than self-report questionnaires as criterion for the inclusion of study participants and for the definition of clinical remission. Clinician administered scales are dominating in drug trials, while self-report questionnaires are primarily used in behavioral trials. This trend accelerated during the last 20 years. Compared to studies on behavioral therapies, studies with drug or other interventions used higher cut points to include patients. Comparisons between the interventions revealed highly significant differences in the used cut points of MADRS, HAMD-17 and PHQ-9.
CONCLUSIONS: Choice of measure and cut points is an important aspect of trial design and should be homogenized in order to make trials of different types of interventions more readily comparable. Similarly, systematic differences between treatment types in how patients are included and how remission is defined also hamper the comparisons between different treatment modalities.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Assessment; Cut points; Depression; Patient reported outcomes

Year:  2021        PMID: 34091381     DOI: 10.1016/j.jad.2021.05.041

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


  1 in total

1.  Using AI chatbots to provide self-help depression interventions for university students: A randomized trial of effectiveness.

Authors:  Hao Liu; Huaming Peng; Xingyu Song; Chenzi Xu; Meng Zhang
Journal:  Internet Interv       Date:  2022-01-06
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.