Aging Clinical and Experimental Research

, Volume 7, Issue 4, pp 228–233

Classifying change with the Sickness Impact Profile for Nursing Homes (SIP-NH)

  • Rahul Dhanda
  • C. D. Mulrow
  • M. B. Gerety
  • S. Lee
  • J. E. Cornell
Original Article

DOI: 10.1007/BF03324340

Cite this article as:
Dhanda, R., Mulrow, C.D., Gerety, M.B. et al. Aging Clin Exp Res (1995) 7: 228. doi:10.1007/BF03324340

Abstract

The aim of this cohort study was to evaluate the concordance of the Sickness Impact Profile for Nursing Homes (SIP- NH) and Sickness Impact Profile (SIP) in classifying change. Subjects consisted of 194 consecutive long- stay nursing home residents at one academic department of the V.A. and in 8 community proprietary nursing homes in San Antonio, Texas. They were to have more than 3 months residency; to be ⩾61 years; and to be dependent in at least 2 ADLs with an MMSE score of ⩾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 ⩾5 points. Concordance of the classification of subjects by the SIP- NH and SIP was evaluated. The misclassification rate as well as its direction was also assessed. Both instruments classified a little over one- quarter of the subjects as better, over a third as being unchanged, and another third as being worse at the four- month follow- up. More subjects were classified as worse by both instruments at 8 and 12 months. All kappas ranged from 0.52 to 0.78, indicating good to excellent agreement. Overall, the SIP- NH characterized persons as changed more often than the SIP with no systematic directional bias. In conclusion, the SIP- NH was concordant with the SIP in classifying change in subjects. However, we cannot say which of the two is better for detecting change. Future research must focus on defining a change score which has clinical meaning, and evaluate responsiveness to change. (Aging Clin. Exp. Res. 7: 228–233, 1995)

Keywords

Frail elderlyfunctional statushealth status measuresnursing homesquestionnaires

Copyright information

© Springer Internal Publishing Switzerland 1995

Authors and Affiliations

  • Rahul Dhanda
    • 1
    • 4
  • C. D. Mulrow
    • 1
    • 2
    • 3
  • M. B. Gerety
    • 1
    • 2
    • 3
  • S. Lee
    • 4
  • J. E. Cornell
    • 2
    • 3
  1. 1.Division of General MedicineUniversity of Texas Health Science CenterUSA
  2. 2.Division of Geriatrics and GerontologyUniversity of Texas Health Science CenterUSA
  3. 3.Geriatric Research, Education and Clinical CenterAudie L. Murphy Memorial Veterans HospitalSan Antonio
  4. 4.The Aging Research and Education CenterUniversity of Texas Health Science CenterSan AntonioUSA
  5. 5.Audie L. Murphy Veterans Hospital, Ambulatory Care (11C)San AntonioUSA