Kristen M.J. Azar, Maria R. Moreno, Eric C. Wong, Jessica J. Shin, Christy Soto, Latha P. Palaniappan
To describe data collection methods and to audit staff data entry of patient self‐reported race/ethnicity/ancestry and preferred spoken language (R/E/A/L) information.
Large mixed payer outpatient health care organization in Northern California, June 2009.
Secondary analysis of an audit planned and executed by the Department of Clinical Services.
Data Source/Study Setting
We analyzed concordance between patient written responses and staff data entry.
The data entry accuracy rate across questions was high, ranging from 92 to 97 percent. Inaccuracies were due to human error (62 percent), flaws in system design (2 percent), or some combination of both (35 percent).
This study highlights the high accuracy of patient self‐reported R/E/A/L data entry and identifies some areas for improvement in staff training and technical system design to facilitate further progress.
Data Collection/Extraction Methods