Computer Methods and Programs in Biomedicine
Volume 105, Issue 3 , Pages 210-216, March 2012

Improving the medical scale predictability by the pairwise comparisons method: Evidence from a clinical data study

  • Tamar Kakiashvili

      Affiliations

    • Sudbury Therapy, Sudbury, Ontario, Canada
  • ,
  • Waldemar W. Koczkodaj

      Affiliations

    • Laurentian Univeristy, Computer Science, Sudbury, Ontario, Canada
    • Corresponding Author InformationCorresponding author. Tel.: +1 705 675 1151; fax: +1 705 673 6591.
  • ,
  • Marc Woodbury-Smith

      Affiliations

    • McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada

Received 12 May 2011; received in revised form 29 July 2011; accepted 22 September 2011.

Abstract 

In the clinical practice of psychiatry, presence or absence of particular symptoms is based on the subjective interpretation, by the clinician, of mental and behavioural descriptions offered by the patient. However, this subjectivity that characterizes the diagnostic decision making process may limit the reliability of diagnosis. In this current study, the pairwise comparisons (PC) method is used to investigate whether the psychometric properties of a medical screening questionnaire can be improved. The pilot data described herein did indeed demonstrate that modest improvements in diagnostic accuracy could be achieved using PC, and provides early evidence that the inconsistency produced by subjective clinical ratings can be reduced using this method, thus providing impetus for further investigation.

Keywords: Medical scale, Medical scale item, Pairwise comparisons, Inconsistency

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PII: S0169-2607(11)00258-6

doi:10.1016/j.cmpb.2011.09.011

Computer Methods and Programs in Biomedicine
Volume 105, Issue 3 , Pages 210-216, March 2012