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Chapter 30 - Rating Instruments for Mood Disorders in Clinical Practice

Published online by Cambridge University Press:  16 May 2024

By
Danielle Hett  and
Steven Marwaha
Edited by
Allan Young ,
Marsal Sanches ,
Jair C. Soares  and
Mario Juruena
Allan Young
Affiliation:
Institute of Psychiatry, King's College London
Marsal Sanches
Affiliation:
Baylor College of Medicine, Texas
Jair C. Soares
Affiliation:
McGovern Medical School, The University of Texas
Mario Juruena
Affiliation:
King's College London
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Summary

This chapter outlines some of the most widely used clinician-rated (e.g., HAM-D, MADRS, YMRS) and self-rated (e.g., BDI, PHQ-9, QIDS, ISS, ASRM) tools for depression and bipolar disorder and summarises the evidence to date on their psychometric properties and practicality for use in research and clinical practice. The chapter also discusses the emerging research surrounding affective instability (AI), a core trait-like feature known to underpin the development and emergence of mood disorder symptoms and describes how digital technologies can aid in the monitoring of both mood and AI. A novel mood-monitoring methodology, called experience sampling method, is introduced and its benefits over traditional approaches are discussed. The chapter concludes with a summary of the current and upcoming mood rating tools, as well as their future role and potential applications in clinical practice.

Keywords

Mood disordersdepressionbipolarrating toolsHAM-Dclinician-ratedself-ratedaffective instabilitymood monitoring
Type
Chapter
Information
Clinical Textbook of Mood Disorders , pp. 313 - 322
Publisher: Cambridge University Press
Print publication year: 2024

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