Concordance of Cornell medical index self-reports to structured clinical assessment for the identification of physical health status

Pendleton, Neil, Clague, John E., Horan, Michael, Rabbitt, Patrick, Jones, Maureen, Coward, R., Lowe, C. and McInnes, Lynn (2004) Concordance of Cornell medical index self-reports to structured clinical assessment for the identification of physical health status. Archives of Gerontology and Geriatrics, 38 (3). pp. 261-269. ISSN 0167-4943

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1016/j.archger.2003.10.005

Abstract

Self-reported questionnaires are frequently used to assess health status in epidemiological studies. The Cornell medical index is one such tool used to determine the presence of physical and psychiatric illness but its accuracy and value have been questioned. In this study we have assessed the ability of the CMI to predict health status in two separate patient populations (n=101, 88) by comparison to a structured medical assessment based on the SENIEUR protocol by two physicians. There was good agreement between medication use reported on the CMI and on medical assessment (k=0.79; CI: 0.70–0.88). Accuracy of prediction of the CMI for specific medical conditions was good 89–99%. A threshold score from the CMI was not predictive of health as determined by the SENIEUR protocol. In our older populations, we conclude that the CMI accurately predicted health status. The determination of normal health by a threshold score was poorly predictive of heath status. Self-reported medication use was the best predictor of health status.

Item Type: Article
Uncontrolled Keywords: Cornell medical index, geriatric assessment, health status definition
Subjects: C800 Psychology
Department: Faculties > Health and Life Sciences > Psychology
Depositing User: Becky Skoyles
Date Deposited: 02 Feb 2015 16:37
Last Modified: 12 Oct 2019 16:27
URI: http://nrl.northumbria.ac.uk/id/eprint/19761

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics