<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Dahlen A</submitter><funding>NCATS NIH HHS</funding><funding>NIDDK NIH HHS</funding><pubmed_abstract>&lt;h4>Importance&lt;/h4>Commercial healthcare claims datasets represent a sample of the US population that is biased along socioeconomic/demographic lines; depending on the target population of interest, results derived from these datasets may not generalize. Rigorous comparisons of claims-derived results to ground-truth data that quantify this bias are lacking.&lt;h4>Objectives&lt;/h4>(1) To quantify the extent and variation of the bias associated with commercial healthcare claims data with respect to different target populations; (2) To evaluate how socioeconomic/demographic factors may explain the magnitude of the bias.&lt;h4>Design&lt;/h4>This is a retrospective observational study. Healthcare claims data come from the Merative&lt;sup>™&lt;/sup> MarketScan&lt;sup>®&lt;/sup> Commercial Database; reference data for </pubmed_abstract><journal>medRxiv : the preprint server for health sciences</journal><pagination>2024.08.19.24312249</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11370529</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Benchmarking commercial healthcare claims data.</pubmed_title><pmcid>PMC11370529</pmcid><funding_grant_id>P30 DK116074</funding_grant_id><funding_grant_id>UL1 TR003142</funding_grant_id><funding_grant_id>KL2 TR003143</funding_grant_id><pubmed_authors>Charu V</pubmed_authors><pubmed_authors>Dahlen A</pubmed_authors><pubmed_authors>Deng Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Benchmarking commercial healthcare claims data.</name><description>&lt;h4>Importance&lt;/h4>Commercial healthcare claims datasets represent a sample of the US population that is biased along socioeconomic/demographic lines; depending on the target population of interest, results derived from these datasets may not generalize. Rigorous comparisons of claims-derived results to ground-truth data that quantify this bias are lacking.&lt;h4>Objectives&lt;/h4>(1) To quantify the extent and variation of the bias associated with commercial healthcare claims data with respect to different target populations; (2) To evaluate how socioeconomic/demographic factors may explain the magnitude of the bias.&lt;h4>Design&lt;/h4>This is a retrospective observational study. Healthcare claims data come from the Merative&lt;sup>™&lt;/sup> MarketScan&lt;sup>®&lt;/sup> Commercial Database; reference data for </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Aug</publication><modification>2026-04-08T15:23:27.497Z</modification><creation>2025-04-06T18:23:57.347Z</creation></dates><accession>S-EPMC11370529</accession><cross_references><pubmed>39228744</pubmed><doi>10.1101/2024.08.19.24312249</doi></cross_references></HashMap>