Document Detail

K-Means Cluster Analysis of Rehabilitation Service Users in the Home Health Care System of Ontario: Examining the Heterogeneity of a Complex Geriatric Population.
MedLine Citation:
PMID:  22705468     Owner:  NLM     Status:  Publisher    
OBJECTIVE: To examine the heterogeneity of home care clients who utilize rehabilitation services by using the K-means algorithm to identify previously unknown patterns of clinical characteristics. DESIGN: Observational study of secondary data. SETTING: Ontario Home Care System. PARTICIPANTS: This study focused on assessment information collected on 150,253 home care clients using the provincially mandated RAI-HC data system. INTERVENTIONS: Not Applicable MAIN OUTCOME MEASURES: This study analyzed assessment information from every long-stay (>60 days) home care client that entered the home care system between 2005 and 2008 and utilized rehabilitation services within three months of their initial assessment. The K-means clustering algorithm was applied using 37 variables from the RAI-HC assessment. RESULTS: The K-means cluster analysis resulted in identifying seven relatively homogeneous subgroups that differed on characteristics such as age, sex, cognition, and functional impairment. Client profiles were created to illustrate the diversity of this geriatric population. CONCLUSION: The K-means algorithm provided a useful way to segment a heterogeneous rehabilitation client population into more homogeneous subgroups. This analysis provides an enhanced understanding of client characteristics and needs, and could enable more appropriate targeting of rehabilitation services for home care clients.
Joshua J Armstrong; Mu Zhu; John P Hirdes; Paul Stolee
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-14
Journal Detail:
Title:  Archives of physical medicine and rehabilitation     Volume:  -     ISSN:  1532-821X     ISO Abbreviation:  -     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-6-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2985158R     Medline TA:  Arch Phys Med Rehabil     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 the American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
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