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Activity Number:
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374
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #310067 |
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Title:
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A Comparison of Methods To Impute Missing Race in VA Administrative Data
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Author(s):
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Maria Mor*+ and Chunrong Cheng and Bevanne Bean-Mayberry and Gong Tang and Roslyn A. Stone
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Companies:
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CHERP/VA Pittsburgh Healthcare System and University of Pittsburgh and Veterans Affairs Greater Los Angeles and University of Pittsburgh and Veterans Affairs Pittsburgh Healthcare System
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Address:
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VA Pittsburgh Healthcare System, Pittsburgh, PA, 15240-1000,
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Keywords:
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Missing Data ; Government Statistics ; Multiple Imputation
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Abstract:
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VA administrative sources commonly are used to assess quality and health equity within the VA Healthcare System. However, missing racial data continue to be problematic, even after the implementation of improved data collection methods in FY2003. Using VA External Peer Review Program data for a national sample of veterans (2001--2003), we assessed the impact of alternative missing data procedures on the estimation of racial disparities in the receipt of several quality measures. Race and demographic information obtained from VA inpatient and outpatient administrative data were supplemented with race data from the Centers for Medicare and Medicaid Services. Point estimates, standard errors, and tests of significance were compared across all methods. Although qualitative changes in racial estimates were rare, the choice of statistical method affected the tests of statistical significance.
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