The Sickness Impact Profile for nursing homes (SIP-NH)
BACKGROUND
Valid, feasible measures of functional status are needed to evaluate the expanding nursing home population. This study attempts to increase relevance and reduce respondent burden of the Sickness Impact Profile (SIP) for nursing home residents while maintaining internal consistency and validity.


METHODS
231 residents from one academic and four community nursing homes, aged > or = 60 with a Mini-Mental State Exam score > or = 11, were study participants. Nominal group process was used to identify items and/or categories for removal. Candidate items were those that: represented restrictions of the nursing home environment, had weak item-total score correlations, and/or made minimal contribution to category internal consistency. Reduction was constrained by: minimum correlation of r = .90 between SIP and Sickness Impact Profile for Nursing Homes (SIP-NH) scores, coefficients alpha that fell within 95% confidence regions about predicted alpha. Convergent and discriminant validity were evaluated with the Katz Activities of Daily Living, Physical Disability Index, Geriatric Depression Scale, and Folstein Mini-Mental State Exam.


RESULTS
The SIP-NH contains 66 items, a 51.5% reduction. Correlations between the SIP-NH and SIP were: total score r = .98, Physical dimension r = .97, and Psychosocial dimension r = .97. Alpha coefficients all fell within the 95% confidence regions. The SIP and the SIP-NH did not differ in correlations with validating instruments.


CONCLUSIONS
The SIP-NH reduces respondent burden and has acceptable internal consistency and external validity. Potentially useful for discriminatory and predictive purposes, responsiveness to change will require longitudinal evaluation.
Gerety
M B
MB
Education and Clinical Center, Audie L. Murphy Memorial Veterans Affairs Hospital, San Antonio.
Cornell
J E
JE
Mulrow
C D
CD
Tuley
M
M
Hazuda
H P
HP
Lichtenstein
M
M
Kanten
D N
DN
Aguilar
C
C
Kadri
A A
AA
Rosenberg
J
J
D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D003627:Data Interpretation, Statistical; D003863:Depression / Q000175:diagnosis; D005260:Female; D016330:Frail Elderly; D006305:Health Status Indicators; D006801:Humans; D007361:Intelligence Tests; D008297:Male; D008609:Mental Status Schedule; D009735:Nursing Homes; D012720:Severity of Illness Index