Skip Navigation



The European Journal of Public Health Advance Access published online on February 12, 2009
The European Journal of Public Health, doi:10.1093/eurpub/ckp006
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
19/3/308    most recent
ckp006v1
Right arrow E-letters: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when E-letters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Lee, J. S. W.
Right arrow Articles by Woo, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, J. S. W.
Right arrow Articles by Woo, J.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Survival prediction in nursing home residents using the Minimum Data Set subscales: ADL Self-Performance Hierarchy, Cognitive Performance and the Changes in Health, End-stage disease and Symptoms and Signs scales

Jenny S. W. Lee1, Patsy P. H. Chau2, Elsie Hui1, Felix Chan3 and Jean Woo1

1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR
2 Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR
3 Department of Medicine, Fung Yiu King Hospital, Hong Kong SAR

Correspondence: Jenny S. W. Lee, Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR. tel: (852)-2636-7500, fax: (852)-2635-1037, e-mail: jleesw_2000{at}yahoo.com

Received September 29, 2008 , accepted January 9, 2009

Background: With the intention to aid planning for elderly focused public health and residential care needs in rapidly aging societies, a simple model using only age, gender and three Minimum Data Set (MDS) subscales (MDS-ADL Self-Performance Hierarchy, MDS-Cognitive Performance and the MDS-Changes in Health, End-stage disease and Symptoms and Signs scales) was used to estimate long-term survival of older people moving into nursing homes. Methods: A total of 1820 nursing home residents were assessed by the MDS 2.0 and their mortality status 5 years later was used to develop a survival prediction model. Result: In December 2006, 54.2% of subjects were dead. Older age at nursing home admission (HR = 1.036 per 1-year increment, 95% CI 1.028–1.045), men (HR = 1.895, 95% CI 1.651–2.175), higher impairment level according to the MDS-ADL (HR = 1.135 per 1-unit increment, 95% CI 1.099–1.173) and MDS-CPS (HR = 1.077 per 1-unit increment, 95% CI 1.033–1.123), and more frail on the MDS-CHESS (HR = 1.150 per 1-unit increment, 95% CI 1.042–1.268), were all independent predictors of shorter survival after nursing home admission in multivariate analysis. Survival function was derived from the fitted Cox regression model. Survival time of nursing home residents with different combinations of risk factors were estimated through the survival function. Conclusion: The MDS-ADL, MDS-CPS and MDS-CHESS scales, in addition to age and gender, provide prognostic information in terms of survival time after institutionalization. The model may be useful for health care and residential care planning in an ageing community.

Keywords: elderly, nursing home, mortality prediction, survival, function, cognition


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.