Patient Facts Study Results Part II: SSDQA Comparison


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dc.contributor.authorWieand, Kaleigh
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2025-12-16T21:51:50Z
dc.date.created2025-09
dc.description- Nationwide and on some occasions Nemours appear to have low lab fact density across each of the study-relevant labs (hemoglobin, ANC, MCV) and all visit types. - Colorado and Seattle generally have the highest density of these lab tests. - There is heterogenous behavior across sites, especially in the "all labs" domain. For specific labs of interest, there is still a spread but over a much smaller range of values.
dc.description.abstractThe results of a Patient Facts check using the Multi-Site, Exploratory, Cross-Sectional parameters. This check investigates fact density at inpatient, ED, hematologist, and all visits. There was a special emphasis on labs to identify density of important study variables.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/1256
dc.identifier.urihttps://doi.org/10.24373/pdsp-591
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.subjectExploratory Analysis
dc.subject.meshAnemia, Sickle Cell
dc.subject.meshHematologic Tests
dc.subject.meshHematologic Diseases
dc.titlePatient Facts Study Results Part II: SSDQA Comparison
dc.typestudy
dspace.entity.typeDQResult
local.admin.notev57
local.description.outcomesThis output illustrates that there are site-specific issues with fact density related to important lab variables for this project. Encouragingly, based on the small differences between the medians both with and without patients who do not have evidence of the fact types, it seems that enough patients in the cohort have at least one recorded test of these types so as to not drag down the median. We will do more analysis to investigate the issues with labs and determine how it can be best addressed.
local.dqcheck.outcomesAdditional DQ Investigation
local.dqcheck.resultobsDisparate Site Behavior
local.subject.DataProvPEDSnet Data Source
relation.isDQCheckOfDQResult79a702f1-0925-4a57-9f7d-d1b15b793261
relation.isDQCheckOfDQResult.latestForDiscovery79a702f1-0925-4a57-9f7d-d1b15b793261
relation.isDQResultOfDQResultc1c970f7-f2f3-45f8-846d-f35091536e2b
relation.isDQResultOfDQResult.latestForDiscoverya54c6e9e-4aa8-462d-9bcb-760a25e0a6a5
relation.isDocumentationOfDQResultc5d447aa-7544-441f-b454-016b43b3bdcd
relation.isDocumentationOfDQResult.latestForDiscoveryc5d447aa-7544-441f-b454-016b43b3bdcd
relation.isOrgUnitOfDQResultda598fc2-bed7-4a0d-92d7-fc2517b715de
relation.isOrgUnitOfDQResultcc4d0004-ec82-4d55-8a8d-61a3b0e7a09a
relation.isOrgUnitOfDQResult4a9c59a3-af72-449e-b5c0-2db953ff475a
relation.isOrgUnitOfDQResultc8e42b1c-6ffb-4b73-b893-ae4b5fe07dfa
relation.isOrgUnitOfDQResultcdb3cef9-ebdd-4ca8-9000-14573ba301bf
relation.isOrgUnitOfDQResult32f633d4-ee75-467f-a1a2-24c207244346
relation.isOrgUnitOfDQResultff3cd76b-cf4c-44c1-84a6-368cfd0e9123
relation.isOrgUnitOfDQResulta118440c-013c-4d44-b7ce-19a9b1441304
relation.isOrgUnitOfDQResultf17f740b-c35e-4a0e-9d83-7e051d0c64c5
relation.isOrgUnitOfDQResult751635c0-bac7-47e0-95ea-c78f3cb31390
relation.isOrgUnitOfDQResult.latestForDiscovery6e9d0eea-a059-4bda-88ac-7c2d7b8d8102
relation.isStudyOfDQResulta06c92dd-336b-4b1b-b7d9-fb4701104fb1
relation.isStudyOfDQResult.latestForDiscoverya06c92dd-336b-4b1b-b7d9-fb4701104fb1

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