Validation of Stroke Meaningful Use Measures in a National Electronic Health Record System

dc.contributor.authorPhipps, Michael S.
dc.contributor.authorFahner, Jeff
dc.contributor.authorSager, Danielle
dc.contributor.authorCoffing, Jessica
dc.contributor.authorMaryfield, Bailey
dc.contributor.authorWilliams, Linda S.
dc.contributor.departmentDepartment of Neurology, School of Medicineen_US
dc.date.accessioned2017-10-04T17:50:33Z
dc.date.available2017-10-04T17:50:33Z
dc.date.issued2016-04
dc.description.abstractBACKGROUND: The Meaningful Use (MU) program has increased the national emphasis on electronic measurement of hospital quality. OBJECTIVE: To evaluate stroke MU and one VHA stroke electronic clinical quality measure (eCQM) in national VHA data and determine sources of error in using centralized electronic health record (EHR) data. DESIGN: Our study is a retrospective cross-sectional study of stroke quality measure eCQMs vs. chart review in a national EHR. We developed local SQL algorithms to generate the eCQMs, then modified them to run on VHA Central Data Warehouse (CDW) data. eCQM results were generated from CDW data in 2130 ischemic stroke admissions in 11 VHA hospitals. Local and CDW results were compared to chart review. MAIN MEASURES: We calculated the raw proportion of matching cases, sensitivity/specificity, and positive/negative predictive values (PPV/NPV) for the numerators and denominators of each eCQM. To assess overall agreement for each eCQM, we calculated a weighted kappa and prevalence-adjusted bias-adjusted kappa statistic for a three-level outcome: ineligible, eligible-passed, or eligible-failed. KEY RESULTS: In five eCQMs, the proportion of matched cases between CDW and chart ranged from 95.4 %-99.7 % (denominators) and 87.7 %-97.9 % (numerators). PPVs tended to be higher (range 96.8 %-100 % in CDW) with NPVs less stable and lower. Prevalence-adjusted bias-adjusted kappas for overall agreement ranged from 0.73-0.95. Common errors included difficulty in identifying: (1) mechanical VTE prophylaxis devices, (2) hospice and other specific discharge disposition, and (3) contraindications to receiving care processes. CONCLUSIONS: Stroke MU indicators can be relatively accurately generated from existing EHR systems (nearly 90 % match to chart review), but accuracy decreases slightly in central compared to local data sources. To improve stroke MU measure accuracy, EHRs should include standardized data elements for devices, discharge disposition (including hospice and comfort care status), and recording contraindications.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationPhipps, M. S., Fahner, J., Sager, D., Coffing, J., Maryfield, B., & Williams, L. S. (2016). Validation of Stroke Meaningful Use Measures in a National Electronic Health Record System. Journal of General Internal Medicine, 31(Suppl 1), 46–52. http://doi.org/10.1007/s11606-015-3562-5en_US
dc.identifier.issn1525-1497en_US
dc.identifier.urihttps://hdl.handle.net/1805/14227
dc.language.isoen_USen_US
dc.publisherSpringer-Verlagen_US
dc.relation.isversionof10.1007/s11606-015-3562-5en_US
dc.relation.journalJournal of General Internal Medicineen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectElectronic Health Recordsen_US
dc.subjectstandardsen_US
dc.subjectMeaningful Useen_US
dc.subjectStrokeen_US
dc.subjecttherapyen_US
dc.subjectUnited States Department of Veterans Affairsen_US
dc.subjectVeterans Healthen_US
dc.titleValidation of Stroke Meaningful Use Measures in a National Electronic Health Record Systemen_US
dc.typeArticleen_US
ul.alternative.fulltexthttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803676/en_US
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