Concordance of Cornell medical index self-reports to structured clinical assessment for the identification of physical health status.
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.
Pendleton
Neil
N
Geriatric Medicine, University of Manchester, Salford, UK. npendlet@fs1.ho.man.ac.uk
Clague
John E
JE
Horan
Michael A
MA
Rabbitt
Patrick M A
PM
Jones
Maureen
M
Coward
Rachel
R
Lowe
Christine
C
McInnes
Lynn
L
D000368:Aged; D000369:Aged, 80 and over; D001927:Brain Diseases / Q000175:diagnosis*; D002318:Cardiovascular Diseases / Q000175:diagnosis*; D003321:Cornell Medical Index; D003920:Diabetes Mellitus / Q000175:diagnosis*; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D015203:Reproducibility of Results