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14 - Symptom severity outcome measures for depression

from Part III - Symptom severity outcome measures

Published online by Cambridge University Press:  02 January 2018

Tom Trauer
Affiliation:
is Professorial Fellow in the Department of Psychiatry, The University of Melbourne and St Vincent's Hospital, Melbourne, and holds an adjunct professorial appointment in the School of Psychiatry and Psychology, Monash University, Melbourne, Australia
David J. Castle
Affiliation:
holds the Chair of Psychiatry at St Vincent's Hospital and The University of Melbourne, Australia.
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Summary

Depression is among the most prevalent of mental disorders and is one the leading causes of disability worldwide (World Health Organization, 1996). A study across six countries found that patients with higher scores for depressive symptoms had worse health, functional status, quality of life and greater use of health services across all sites (Herrman et al, 2002). This chapter provides an overview of the issues and methods involved in the assessment of depressive symptoms in adults and older persons; different factors and methods are required for younger consumers.

Why assess outcomes?

Given its often erratic and relapsing course, the assessment of the quality and severity of depression is important for a number of reasons. These have been divided by Hickie et al (2002) into two groups: clinical and evaluative. The clinical reasons comprise: enhancing the involvement of consumers in their own treatment; documenting a range of clinically relevant aspects of life; improving the identification of early relapse; comparing responses to different treatments; improving understanding of short- and long-term outcomes; and alerting the clinician to a possible need to change the treatment or management. Their list of non-clinical purposes include: evaluating new treatments; contributing to assessment of cost-effectiveness; understanding variations in quality and access to services; and evaluating the impact of major health service innovations and specific policy initiatives. This is an impressive list of reasons for measuring outcomes in depression, to which we add a few of our own. Depression, like most mental disorders, has an effect beyond the index consumer. In addition to the mental pain of the condition itself, there is often ‘collateral damage’ to family members in terms of worry, burden of care and impaired child care, as well as to society at large in terms of lost productivity and treatment costs. Certain forms of outcome measure can target some of these effects. Also, it is known that not all aspects of the depressed state recover at the same rate (see below). By formally assessing domains beyond primary symptoms, one can assess wider aspects of recovery, such as social and occupational functioning.

While Hickie et al (2002) contend that measuring outcomes in consumers with depression and anxiety is an essential part of clinical practice, this activity does not come without some cost, and the potential benefits of assessing outcomes formally must at least offset the main immediate cost, which is clinician time.

Type
Chapter
Information
Publisher: Royal College of Psychiatrists
Print publication year: 2010

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  • Symptom severity outcome measures for depression
    • By Tom Trauer, is Professorial Fellow in the Department of Psychiatry, The University of Melbourne and St Vincent's Hospital, Melbourne, and holds an adjunct professorial appointment in the School of Psychiatry and Psychology, Monash University, Melbourne, Australia, David J. Castle, holds the Chair of Psychiatry at St Vincent's Hospital and The University of Melbourne, Australia.
  • Edited by Graham Thornicroft, Michelle Tansella
  • Book: Mental Health Outcome Measures
  • Online publication: 02 January 2018
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  • Symptom severity outcome measures for depression
    • By Tom Trauer, is Professorial Fellow in the Department of Psychiatry, The University of Melbourne and St Vincent's Hospital, Melbourne, and holds an adjunct professorial appointment in the School of Psychiatry and Psychology, Monash University, Melbourne, Australia, David J. Castle, holds the Chair of Psychiatry at St Vincent's Hospital and The University of Melbourne, Australia.
  • Edited by Graham Thornicroft, Michelle Tansella
  • Book: Mental Health Outcome Measures
  • Online publication: 02 January 2018
Available formats
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Symptom severity outcome measures for depression
    • By Tom Trauer, is Professorial Fellow in the Department of Psychiatry, The University of Melbourne and St Vincent's Hospital, Melbourne, and holds an adjunct professorial appointment in the School of Psychiatry and Psychology, Monash University, Melbourne, Australia, David J. Castle, holds the Chair of Psychiatry at St Vincent's Hospital and The University of Melbourne, Australia.
  • Edited by Graham Thornicroft, Michelle Tansella
  • Book: Mental Health Outcome Measures
  • Online publication: 02 January 2018
Available formats
×