Patient Facts Study Results Part II: SSDQA Comparison


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dc.contributor.authorWieand, Kaleigh
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2025-12-16T21:51:44Z
dc.date.created2025-09
dc.description- National has anomalously low proportion of patients with procedures across all visit types, especially ED visits. This is a known issue with their CDM submission, so this is not unexpected. - Nemours has anomalously low proportion of patients with all facts in ED and inpatient visits for this cohort. Nemours has some known issue with fact relationships and inpatient visits, so this could be the result of visit misclassification. - Lurie has anomalously low proportion of patients with most facts for inpatient visits. - Nationwide has an anomalously /high/ proportion of patients with MCV and hemoglobin labs in ED visits, despite having a low density of these facts per patient year in this domain. This tells us that these two labs are well populated but maybe not administered as frequently as other institutions.
dc.description.abstractThe results of a Patient Facts check using the Mulit-Site, Anomaly Detection, Cross-Sectional parameters. This check investigates anomalous proportions of patients with facts in relevant domains based on the visit type of interest.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/1253
dc.identifier.urihttps://doi.org/10.24373/pdsp-595
dc.publisherPEDSnet
dc.rightsa CC-BY Attribution 4.0 license.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectPerson-Level Analysis
dc.subjectCross-Sectional Analysis
dc.subjectMulti-Site Analysis
dc.subjectData Anomaly Method
dc.subject.meshAnemia, Sickle Cell
dc.subject.meshHematologic Tests
dc.titlePatient Facts Study Results Part II: SSDQA Comparison
dc.typestudy
dspace.entity.typeDQResult
local.admin.notev57
local.description.outcomesThis output highlights visit type specific heterogeneity in patient fact representation. This could potentially be due to visit misclassification in the CDM, so we plan to do more investigation to determine the root cause of this issue. We will place special emphasis on investigating the two institutions that had wide-spread low fact population for this cohort.
local.dqcheck.outcomesAdditional DQ Investigation
local.dqcheck.resultobsDisparate Site Behavior
local.dqcheck.resultobsAnomalies Observed
local.subject.DataProvPEDSnet Data Source
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