Testing diagnostic classification relevance of rating scales used in psychiatry.

详细信息   

• 作者：Li ; Feng.
• 学历：Master
• 年：2013
• 毕业院校：Laurentian University
• ISBN：9780494937648
• CBH：MR93764
• Country：Canada
• 语种：English
• FileSize：4866903
• Pages：188

文摘

In the present study,a new method of scale relevance,based on double cluster analysis,is proposed,as it is important to verify what we are trying to find with existing scales for burnout,depression and PTSD. The relevance of diagnostic classification and rating scales used in psychiatry is analyzed. The lack of tangible medical evidence such as blood tests or X-rays) in psychiatry and psychology often forces clinicians to rely on the scales. Diagnostic classification and rating scales are used in psychiatry and clinical psychology. Rating scales are important instruments for clinicians to make diagnostic decisions. Sometimes,two different scales may be similar or different from each other. Distinguishing scales is significant for clinicians and patients. We use the double cluster analysis for burnout and depression. It is important to stress that the presented method can be applied to other scales. If two data sets cluster differently,we must consider them as different； otherwise,we can try the double cross validation between two data sets. Clinicians often struggle with the far-from-perfect diagnostic criteria to diagnose mental and behavioral syndromes. There is ongoing effort to develop methods for accuracy improvement and the reduction of uncertainty in the diagnosis of mental syndromes and disorders but the relevance has neglected.