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Activity Number:
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438
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #303864 |
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Title:
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An Empirical Identification of Subgroups of Patients with Knee Replacements
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Author(s):
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Charles Saltzman*+ and Man Hung and Tom Greene and Richard Johnston and Daniel Clegg and John Callaghan
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Companies:
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The University of Utah and The University of Utah and The University of Utah and The University of Iowa and The University of Utah and University of Iowa
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Address:
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, Salt Lake City, UT, 84112,
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Keywords:
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knee replacement ; surgery ; latent class analysis ; orthopedic ; treatment outcomes ; health stauts
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Abstract:
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This study used person-center research to examine how various factors shape surgical outcomes to better health measures in patients with knee replacements. Using data from a large clinical center in the US, we were able to employ latent class analysis to classify homogeneous subgroups of patients based on their medical history, behaviors and health status after knee replacement surgery. Significant relationships were identified between latent classes and various factors. Implications for better treatment outcomes from knee replacement surgery were discussed.
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