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Accuracy of Data Entry of Patient Race/Ethnicity/Ancestry and Preferred Spoken Language in an Ambulatory Care Setting
Author(s) -
Azar Kristen M.J.,
Moreno Maria R.,
Wong Eric C.,
Shin Jessica J.,
Soto Christy,
Palaniappan Latha P.
Publication year - 2012
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/j.1475-6773.2011.01305.x
Subject(s) - concordance , audit , ethnic group , medicine , data entry , data collection , health care , ambulatory care , spoken language , entry level , ambulatory , family medicine , race (biology) , medical education , computer science , statistics , database , natural language processing , business , surgery , mathematics , accounting , sociology , anthropology , economics , economic growth , botany , biology
Objective 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. Data Source/Study Setting Large mixed payer outpatient health care organization in Northern California, June 2009. Study Design Secondary analysis of an audit planned and executed by the Department of Clinical Services. Data Collection/Extraction Methods We analyzed concordance between patient written responses and staff data entry. Principal Findings 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). Conclusions 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.