TY - JOUR
T1 - Implementation of a data accuracy plan to improve data extraction yield in the Axon Registry®
AU - Victorio, M. Cristina C.
AU - Lundgren, Karen
AU - Johnston-Gross, Melissa
AU - Bennett, Amy
AU - Magliocco, Brandon
AU - Deshpande, Aditya
AU - Jones, Lyell K.
N1 - Publisher Copyright:
© American Academy of Neurology.
PY - 2020/7/21
Y1 - 2020/7/21
N2 - ObjectiveTo conduct a data quality improvement project to improve the quality measure data mapping and to measure key phrase logic in the Axon Registry.®MethodsPrior validation analysis of the Axon Registry identified 2 main areas for remediation: methodology for mapping data from electronic health record (EHR) into the registry clinical data record (CDR) and key phrase logic for each measure. Practice groups participating in Axon Registry and 6 Axon Registry quality measures were selected for intervention. Mapping of measure elements and measure performances for each of the selected measures and practices were reviewed before intervention. The Data Accuracy Plan (DAP) was performed, and documentation data and visit data counts and data yield after intervention were calculated and analyzed.ResultsDocumentation data and visit data counts and data yield increased for all 6 quality measures and all practices in the DAP. Increase in documentation data count ranged from 815 to 15,782 occurrences, while visit data count increase ranged from 519 to 16,383 visits. Average data yield range was 7.22% to 33.46% before intervention and increased to a range from 15.34% to 74.40% after intervention.ConclusionThere was substantial improvement in the accuracy of data extraction for quality measure elements after intervention to improve methodology for mapping EHR data into CDR and key phrase logic. Implementation of changes and continued review of data mapping and data dictionary are important to ensure accurate measure performance and to improve reliability and validity of Axon Registry data.
AB - ObjectiveTo conduct a data quality improvement project to improve the quality measure data mapping and to measure key phrase logic in the Axon Registry.®MethodsPrior validation analysis of the Axon Registry identified 2 main areas for remediation: methodology for mapping data from electronic health record (EHR) into the registry clinical data record (CDR) and key phrase logic for each measure. Practice groups participating in Axon Registry and 6 Axon Registry quality measures were selected for intervention. Mapping of measure elements and measure performances for each of the selected measures and practices were reviewed before intervention. The Data Accuracy Plan (DAP) was performed, and documentation data and visit data counts and data yield after intervention were calculated and analyzed.ResultsDocumentation data and visit data counts and data yield increased for all 6 quality measures and all practices in the DAP. Increase in documentation data count ranged from 815 to 15,782 occurrences, while visit data count increase ranged from 519 to 16,383 visits. Average data yield range was 7.22% to 33.46% before intervention and increased to a range from 15.34% to 74.40% after intervention.ConclusionThere was substantial improvement in the accuracy of data extraction for quality measure elements after intervention to improve methodology for mapping EHR data into CDR and key phrase logic. Implementation of changes and continued review of data mapping and data dictionary are important to ensure accurate measure performance and to improve reliability and validity of Axon Registry data.
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U2 - 10.1212/WNL.0000000000009884
DO - 10.1212/WNL.0000000000009884
M3 - Article
C2 - 32591468
AN - SCOPUS:85088493982
SN - 0028-3878
VL - 95
SP - E310-E319
JO - Neurology
JF - Neurology
IS - 3
ER -