The Psychogeriatric Assessment Scales: a multi-dimensional alternative to categorical diagnoses of dementia and depression in the elderly

Psychol Med. 1995 May;25(3):447-60. doi: 10.1017/s0033291700033377.

Abstract

The Psychogeriatric Assessment Scales (PAS) provide an assessment of the clinical changes seen in dementia and depression. Principal components analysis and latent trait analysis were used to develop a set of scales to summarize these clinical changes. There are three scales derived from an interview with the subject (Cognitive Impairment, Depression, Stroke) and three from an interview with an informant (Cognitive Decline, Behaviour Change, Stroke). Results are reported on the reliability and validity of these scales using data from clinical samples in Sydney and Geneva and a population sample from Canberra. The scales were found to have excellent validity when judged against clinical diagnoses of dementia and depression and could distinguish Alzheimer's from vascular dementia. Cut-off points were developed to indicate correspondence between scale scores and clinical diagnoses. Percentile rank norms were developed from the Canberra population sample. The PAS is easy to administer and score and can be used by lay interviewers after training. It is intended for application both in research and in services for the elderly.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Activities of Daily Living / classification
  • Activities of Daily Living / psychology
  • Aged
  • Aged, 80 and over
  • Dementia / classification
  • Dementia / diagnosis*
  • Dementia / psychology
  • Depressive Disorder / classification
  • Depressive Disorder / diagnosis*
  • Depressive Disorder / psychology
  • Female
  • Geriatric Assessment*
  • Humans
  • Interview, Psychological
  • Male
  • Neuropsychological Tests / statistics & numerical data
  • Personality Assessment / statistics & numerical data
  • Psychiatric Status Rating Scales / statistics & numerical data*
  • Psychometrics
  • Reference Values
  • Reproducibility of Results