Depressionsdiagnostik: Verschiedene Interviews, verschiedene Ergebnisse?

2021 ◽  
Vol 22 (03) ◽  
pp. 7-7
Keyword(s):  
Clinical Interview

Das SCID (Structured Clinical Interview for the DSM) ist das am häufigsten verwendete halbstrukturierte Interview in der Depressionsforschung. Daneben werden auch vollstrukturierte Interviews und abgekürzte Varianten verwendet. Kürzlich gab es Hinweise darauf, dass diese Alternativen den Depressionsstatus falsch klassifizieren könnten. Eine aktuelle Metaanalyse vergleicht die Interviewtypen hinsichtlich ihrer Diagnosewahrscheinlichkeiten.

Bridges to Therapy: A Thinking Approach to the Clinical Interview

2004 ◽  
Vol 49 (2) ◽  
pp. 236-239
Author(s):  
Lisetta M. Lovett
Keyword(s):  
Clinical Interview

Review of The Clinical Interview of the Child.

1982 ◽  
Vol 27 (3) ◽  
pp. 239-239
Author(s):  
Thomas M. Achenbach
Keyword(s):  
Clinical Interview

The clinical interview. Vol. II.: Therapy.

1955 ◽  
Vol 19 (5) ◽  
pp. 405-405
Author(s):  
No authorship indicated
Keyword(s):  
Clinical Interview

Structured Clinical Interview for Complex Partial Seizure-Like Symptoms

1988 ◽  
Author(s):  
Richard J. Roberts ◽  
Jane S. Paulsen ◽  
James N. Marchman ◽  
Nils R. Varney
Keyword(s):  
Partial Seizure ◽  
Complex Partial Seizure ◽  
Clinical Interview

Structured Clinical Interview for Kleptomania

2006 ◽  
Author(s):  
Jon E. Grant ◽  
Suck Won Kim ◽  
James S. McCabe
Keyword(s):  
Clinical Interview

Pattern-Recognition: A Comparison of the Performance of Clinicians and Non-Clinicians - with a Note on the Performance of a Computer-Based System

1972 ◽  
Vol 11 (01) ◽  
pp. 32-37 ◽  
Author(s):  
F. T. DE DOMBAL ◽  
J. C. HORROCKS ◽  
J. R. STANILAND ◽  
P. J. GUILLOU
Keyword(s):  
Pattern Recognition ◽  
Computer System ◽  
Computer Aided Diagnosis ◽  
Clinical Interview ◽  
Computer Performance ◽  
Pattern Size ◽  
Computer Aided ◽  
Computer Based ◽  
Aided Diagnosis ◽  
Better Than

This paper describes a series of 10,500 attempts at »pattern-recognition« by two groups of humans and a computer based system. There was little difference between the performances of 11 clinicians and 11 other persons of comparable intellectual capability. Both groups’ performances were related to the pattern-size, the accuracy diminishing rapidly as the patterns grew larger. By contrast the computer system increased its accuracy as the patterns increased in size.It is suggested (a) that clinicians are very little better than others at pattem-recognition, (b) that the clinician is incapable of analysing on a probabilistic basis the data he collects during a traditional clinical interview and examination and (c) that the study emphasises once again a major difference between human and computer performance. The implications as - regards human- and computer-aided diagnosis are discussed.

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