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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
The validity of the CGI severity and improvement scales as measures of clinical effectiveness suitable for routine clinical use
Journal of Evaluation in Clinical Practice, Volume 14, No. 6, Year 2008
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Description
Objective: The Clinical Global Impression Scale (CGI) is established as a core metric in psychiatric research. This study aims to test the validity of CGI as a clinical outcome measure suitable for routine use in a private inpatient setting. Methods: The CGI was added to a standard battery of routine outcome measures in a private psychiatric hospital. Data were collected on consecutive admissions over a period of 24 months, which included clinical diagnosis, demographics, service utilization and four routine measures (CGI, HoNOS, MHQ-14 and DASS-21) at both admission and discharge. Descriptive and comparative data analyses were performed. Results: Of 786 admissions in total, there were 624 and 614 CGI-S ratings completed at the point of admission and discharge, respectively, and 610 completed CGI-I ratings. The admission and discharge CGI-S scores were correlated (r = 0.40), and the indirect improvement measures obtained from their differences were highly correlated with the direct CGI-I scores (r = 0.71). The CGI results reflected similar trends seen in the other three outcome measures. Conclusions: The CGI is a valid clinical outcome measure suitable for routine use in an inpatient setting. It offers a number of advantages, including its established utility in psychiatric research, sensitivity to change, quick and simple administration, utility across diagnostic groupings, and reliability in the hands of skilled clinicians. © 2008 The Authors.
Authors & Co-Authors
Berk, Michael
Australia, Geelong
Barwon Health
Australia, Melbourne
Orygen Research Centre
Australia, Melbourne
The Florey
Dodd, Seetal M.
Australia, Geelong
Barwon Health
Trauer, Tom
Australia, Melbourne
University of Melbourne
Statistics
Citations: 204
Authors: 3
Affiliations: 4
Identifiers
Doi:
10.1111/j.1365-2753.2007.00921.x
ISSN:
13652753
Research Areas
Health System And Policy
Mental Health
Study Design
Cross Sectional Study