Ascertainment of chronic diseases in the canadian longitudinal study on aging (CLSA), systematic review

Parminder S. Raina, Christina Wolfson, Susan A. Kirkland, Homa Keshavarz, Lauren E. Griffith, Christopher Patterson, Jennifer Uniat, Geoff Strople, Amélie Pelletier, Camille L. Angus

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Standard clinical diagnostic procedures are often inappropriate and frequently not feasible to apply in population-based studies, yet ascertaining accurate disease status is essential. We conducted a systematic review to identify algorithms, criteria, and tools used to ascertain 17 chronic diseases, and assessed the feasibility of developing algorithms for the CLSA. Of the 29,616 citations screened, 668 papers met all inclusion criteria. We determined that the information included in a disease algorithm will differ by condition type. The diagnosis of some symptomatic conditions, such as osteoarthritis and arthritis, will require substantiation by clinical criteria (e.g., x-rays, bone density measurement) while other conditions, such as depression, will rely solely on self-report. Asymptomatic conditions, such as hypertension, are more difficult to ascertain by self-report and will require additional physiologic measures (e.g., blood pressure) as well as laboratory measures (e.g., glucose). This pilot study identified the tools necessary to develop disease ascertainment algorithms.

Original languageEnglish
Pages (from-to)275-285
Number of pages11
JournalCanadian Journal on Aging
Volume28
Issue number3
DOIs
Publication statusPublished - Sept 2009

ASJC Scopus Subject Areas

  • Health(social science)
  • Gerontology
  • Community and Home Care
  • Geriatrics and Gerontology

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