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New Measures to Access the Quality of Race/Ethnicity Reporting in State Databases
A presentation on a project to develop validated audit measures for race/ethnicity reporting that can be used for any state's statewide databases.

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New Measures to Access the Quality of Race/Ethnicity Reporting in State Databases

David Zingmond, MD, PhD
AHRQ monthly grantees call
January 10, 2012

UCLA logo

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Aim

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Background: Data Auditing

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Unknown race/ethnicity

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Candidate Audit Measures

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Available Data for Comparison

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Patient Level Data
% agreement = # agree with GS / # Total *100

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Measures for Agreement - Summary Level Data

*agreement = 100 - disagreement

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PDD vs CCR

  PDD vs. SR PDD vs. CCR
Race 0.91 0.92
Ethnicity 0.91 0.95
Alt Ethnicity (unk = NH) 0.95 0.95
White - White 0.94 0.93
Non - White - Non - White Race 0.82 0.91
Hispanic - Hispanic 0.66 0.66
  PDD vs. SR (combined race/ethnicity) PDD vs. CCR (combined race/ethnicity)
Combined Race/Ethnicity 0.90 0.92
NH White - NH White 0.95 0.96
Non - White - Non - White 0.79 0.83
Hispanic - Hispanic 0.66 0.66

N = 16,653

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PDD versus Birth

Race 70.0
Ethnicity 85.8
White 71.6
NW 65.4
Hisp 89.1
NH 82.1

Race/Eth 85.8
NHW 91.1
minorities 83.9

N = 513,456

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Scatter plot showing agreement between patient discharge data and birth versus patient discharge data and Census.

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Other observations

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Further work on Data Audits

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Complex flow chart showing data collection and reporting process. First row of process from left to right shows boxes connected by arrows for Patient, Clerk, Registration System, Medical Record, H I T, Record Abstract, O S H P D. Second row shows flow from Medical Record to C C R Registrar to Record Abstract to C C R. Third row shows flow from Medical Record to Decedent Affairs to Record Abstract to O. Vital Statistics to C C R. Fourth row shows flow from Medical Record to Live Births to O. Vital Statistics.

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Complex flow chart showing self-report process. First row of process from left to right shows boxes connected by arrows for Patient, Clerk, Registration System, Medical Record, H I T, Record Abstract, O S H P D. Second row shows flow from Medical Record to C C R Registrar to Record Abstract to C C R to Clinical Trials Database.


Internet Citation: New Measures to Access the Quality of Race/Ethnicity Reporting in State Databases. Healthcare Cost and Utilization Project (HCUP). July 2014. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/ca20.jsp.
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Last modified 7/31/14