Expected Variables Present Study Results III: PAQS Query 3


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dc.contributor.authorWieand, Kaleigh
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2026-04-21T19:36:06Z
dc.date.created2025-05-30
dc.description**NOTE** This is a single site analysis, but results for all sites are included in the output attached to this record for ease of review & reuse. General observations are recorded below, and details about specific institutions can be discovered in the raw output. - Most anomalies are generally observed in the time periods before 2015 and after 2020 - The pre-2015 anomalies are likely explainable by small patient populations in that time period and less stable data as EHRs were in the process of being onboarded in the broader medical community. - The later anomalies are observed less frequently. Some can be considered an artifact of the drop in utilization due to the pandemic and a slower return to baseline after the fact. Others are anomalies above expectation, which could be due to an influx of new data in recent years or a change in coding practices. - Some institutions are more likely to have anomalies in the time series if there is a large range between the earliest and latest data point. For example, if there is very low capture pre-2015, this can cause the better capture in recent years to appear as anomalous.
dc.description.abstractThe results of an Expected Variables Present check using the Single Site, Anomaly Detection, Longitudinal parameters. This check evaluates the annual distributions of key variables related to diabetes: stroke, second-line antidiabetics, ketoacidosis, an Hba1c > 8%, elevated blood pressure, and CKD.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/1632
dc.identifier.urihttps://doi.org/10.24373/pdsp-679
dc.provenanceThis data quality check was run on a data extracted from the PAQS Query 3 Project. These results were not used for the query, but rather run on the query data after analysis was conducted as part of an SSQDA demonstration project.
dc.publisherPEDSnet
dc.rightsa CC-BY Attribution 4.0 License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectLongitudinal Analysis
dc.subjectSingle-Site Analysis
dc.subjectData Anomaly Method
dc.subject.meshDiabetes Mellitus, Type 2
dc.subject.meshNutritional and Metabolic Diseases
dc.subject.meshStroke
dc.subject.meshHypoglycemic Agents
dc.subject.meshDiabetic Ketoacidosis
dc.subject.meshGlycated Hemoglobin
dc.subject.meshHypertension
dc.subject.meshRenal Insufficiency, Chronic
dc.titleExpected Variables Present Study Results III: PAQS Query 3
dc.typestudy
dspace.entity.typeDQResult
local.admin.notePCORnet v61
local.description.outcomesStudy team did not conduct further investigation or data intervention in response to these results because this was a demonstration project.
local.dqcheck.outcomesNo Interventions
local.dqcheck.resultobsUnexpected Longitunidal Variation
local.dqcheck.resultobsAnomalies Observed
local.subject.DataModelPCORnet Data Model
local.subject.DataProvPCORnet Data Source
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relation.isStudyOfDQResult.latestForDiscovery5b6e5006-01dc-46b1-90ee-21dabf8122f2

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