Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs
<p>Abstract</p> <p>Background</p> <p>Patient race in the Department of Veterans Affairs (VA) information system was previously recorded based on an administrative or clinical employee's observation. Since 2003, the VA started to collect self-reported race in compli...
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doaj-c8efe195495c4af58682b2fd7afdb9f62020-11-24T23:02:01ZengBMCPopulation Health Metrics1478-79542006-07-0141710.1186/1478-7954-4-7Transition to the new race/ethnicity data collection standards in the Department of Veterans AffairsStroupe KevinArnold NoreenZhang HuiyuanSohn Min-WoongTaylor Brent CWilt Timothy JHynes Denise M<p>Abstract</p> <p>Background</p> <p>Patient race in the Department of Veterans Affairs (VA) information system was previously recorded based on an administrative or clinical employee's observation. Since 2003, the VA started to collect self-reported race in compliance with a new federal guideline. We investigated the implications of this transition for using race/ethnicity data in multi-year trends in the VA and in other healthcare data systems that make the transition.</p> <p>Methods</p> <p>All unique users of VA healthcare services with self-reported race/ethnicity data in 2004 were compared with their prior observer-recorded race/ethnicity data from 1997 – 2002 (N = 988,277).</p> <p>Results</p> <p>In 2004, only about 39% of all VA healthcare users reported race/ethnicity values other than "unknown" or "declined." Females reported race/ethnicity at a lower rate than males (27% vs. 40%; p < 0.001). Over 95% of observer-recorded data agreed with self-reported data. Compared with the patient self-reported data, the observer-recorded White and African American races were accurate for 98% (kappa = 0.89) and 94% (kappa = 0.93) individuals, respectively. Accuracy of observer-recorded races was much worse for other minority groups with kappa coefficients ranging between 0.38 for American Indian or Alaskan Natives and 0.79 for Hispanic Whites. When observer-recorded race/ethnicity values were reclassified into non-African American groups, they agreed with the self-reported data for 98% of all individuals (kappa = 0.93).</p> <p>Conclusion</p> <p>For overall VA healthcare users, the agreement between observer-recorded and self-reported race/ethnicity was excellent and observer-recorded and self-reported data can be used together for multi-year trends without creating serious bias. However, this study also showed that observation was not a reliable method of race/ethnicity data collection for non-African American minorities and racial disparity might be underestimated if observer-recorded data are used due to systematic patterns of inaccurate race/ethnicity assignments.</p> http://www.pophealthmetrics.com/content/4/1/7 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stroupe Kevin Arnold Noreen Zhang Huiyuan Sohn Min-Woong Taylor Brent C Wilt Timothy J Hynes Denise M |
spellingShingle |
Stroupe Kevin Arnold Noreen Zhang Huiyuan Sohn Min-Woong Taylor Brent C Wilt Timothy J Hynes Denise M Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs Population Health Metrics |
author_facet |
Stroupe Kevin Arnold Noreen Zhang Huiyuan Sohn Min-Woong Taylor Brent C Wilt Timothy J Hynes Denise M |
author_sort |
Stroupe Kevin |
title |
Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs |
title_short |
Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs |
title_full |
Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs |
title_fullStr |
Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs |
title_full_unstemmed |
Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs |
title_sort |
transition to the new race/ethnicity data collection standards in the department of veterans affairs |
publisher |
BMC |
series |
Population Health Metrics |
issn |
1478-7954 |
publishDate |
2006-07-01 |
description |
<p>Abstract</p> <p>Background</p> <p>Patient race in the Department of Veterans Affairs (VA) information system was previously recorded based on an administrative or clinical employee's observation. Since 2003, the VA started to collect self-reported race in compliance with a new federal guideline. We investigated the implications of this transition for using race/ethnicity data in multi-year trends in the VA and in other healthcare data systems that make the transition.</p> <p>Methods</p> <p>All unique users of VA healthcare services with self-reported race/ethnicity data in 2004 were compared with their prior observer-recorded race/ethnicity data from 1997 – 2002 (N = 988,277).</p> <p>Results</p> <p>In 2004, only about 39% of all VA healthcare users reported race/ethnicity values other than "unknown" or "declined." Females reported race/ethnicity at a lower rate than males (27% vs. 40%; p < 0.001). Over 95% of observer-recorded data agreed with self-reported data. Compared with the patient self-reported data, the observer-recorded White and African American races were accurate for 98% (kappa = 0.89) and 94% (kappa = 0.93) individuals, respectively. Accuracy of observer-recorded races was much worse for other minority groups with kappa coefficients ranging between 0.38 for American Indian or Alaskan Natives and 0.79 for Hispanic Whites. When observer-recorded race/ethnicity values were reclassified into non-African American groups, they agreed with the self-reported data for 98% of all individuals (kappa = 0.93).</p> <p>Conclusion</p> <p>For overall VA healthcare users, the agreement between observer-recorded and self-reported race/ethnicity was excellent and observer-recorded and self-reported data can be used together for multi-year trends without creating serious bias. However, this study also showed that observation was not a reliable method of race/ethnicity data collection for non-African American minorities and racial disparity might be underestimated if observer-recorded data are used due to systematic patterns of inaccurate race/ethnicity assignments.</p> |
url |
http://www.pophealthmetrics.com/content/4/1/7 |
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