The aim of this cohort study was to evaluate the concordance of the Si
ckness Impact Profile for Nursing Homes (SIP-NH) and Sickness Impact P
rofile (SIP) in classifying change. Subjects consisted of 194 consecut
ive long-stay nursing home residents at one academic department of the
V.A. and in 8 community proprietary nursing homes in San Antonio, Tex
as. They were to have more than 3 months residency; to be greater than
or equal to 61 years; and to be dependent in at least 2 ADLs with an
MMSE score of greater than or equal to 15. Subjects were administered
a 128-item SIP and a reduced 66-item SIP-NH at baseline and 4, 8, and
12-month follow-up. At each follow-up, subjects were classified into 3
mutually exclusive change categories using a change score of greater
than or equal to 5 points. Concordance of the classification of subjec
ts by the SIP-NH an SIP was evaluated. The misclassification rate as w
ell as its direction was also assessed. Both instruments classified a
little over one-quarter of the subjects as better, over a third as bei
ng unchanged, and another third as being worse at the four-month follo
w-up. More subjects were classified as worse by both in struments at 8
and 12 months. All kappas ranged from 0.52 to 0.78, indicating good t
o excellent agreement. Overall, the SIP-NH characterized persons as ch
anged more often than the SIP with no systematic directional bias. In
conclusion, the SIP-NH was concordant with the SIP in classifying chan
ge in subjects. However, Lye cannot say which of the two is better for
detecting change. Future research must focus on defining a change sco
re which has clinical meaning, and evaluate responsiveness to change.