Ontology highlight
ABSTRACT: 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.
SUBMITTER: Azar KM
PROVIDER: S-EPMC3447251 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature
Azar Kristen M J KM Moreno Maria R MR Wong Eric C EC Shin Jessica J JJ Soto Christy C Palaniappan Latha P LP
Health services research 20110824 1 Pt 1
<h4>Objective</h4>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.<h4>Data source/study setting</h4>Large mixed payer outpatient health care organization in Northern California, June 2009.<h4>Study design</h4>Secondary analysis of an audit planned and executed by the Department of Clinical Services.<h4>Data collection/extraction methods</h4>We analyzed concordance between patien ...[more]