<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Jung J</submitter><funding>NIA NIH HHS</funding><funding>National Institute on Aging</funding><pagination>172-181</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8763275</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>57(1)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>To check the completeness of Medicare Advantage (MA) Encounter data and to illustrate a process to measure resource use among MA enrollees using Encounter data.&lt;h4>Data sources&lt;/h4>2015 Preliminary MA Encounter, Medicare Provider Analysis and Review (MedPAR), Healthcare Effectiveness Data and Information System (HEDIS), and 2013 Traditional Medicare (TM) claims data.&lt;h4>Study design&lt;/h4>Secondary data analysis.&lt;h4>Data collection/extraction methods&lt;/h4>We calculated the percentage of each contract's total hospitalizations in Encounter data after identifying total inpatient stays from Encounter and MedPAR data. We constructed each contract's ambulatory visits and emergency department (ED) visits per 1000 enrollees using Encounter data and compared those visit counts with t</pubmed_abstract><journal>Health services research</journal><pubmed_title>Measuring resource use in Medicare Advantage using Encounter data.</pubmed_title><pmcid>PMC8763275</pmcid><funding_grant_id>1R01AG069352‐01A1</funding_grant_id><funding_grant_id>R01 AG069352</funding_grant_id><pubmed_authors>Jung J</pubmed_authors><pubmed_authors>Feldman R</pubmed_authors><pubmed_authors>Carlin C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Measuring resource use in Medicare Advantage using Encounter data.</name><description>&lt;h4>Objective&lt;/h4>To check the completeness of Medicare Advantage (MA) Encounter data and to illustrate a process to measure resource use among MA enrollees using Encounter data.&lt;h4>Data sources&lt;/h4>2015 Preliminary MA Encounter, Medicare Provider Analysis and Review (MedPAR), Healthcare Effectiveness Data and Information System (HEDIS), and 2013 Traditional Medicare (TM) claims data.&lt;h4>Study design&lt;/h4>Secondary data analysis.&lt;h4>Data collection/extraction methods&lt;/h4>We calculated the percentage of each contract's total hospitalizations in Encounter data after identifying total inpatient stays from Encounter and MedPAR data. We constructed each contract's ambulatory visits and emergency department (ED) visits per 1000 enrollees using Encounter data and compared those visit counts with t</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Feb</publication><modification>2026-07-09T12:19:48.456Z</modification><creation>2025-04-05T09:04:47.909Z</creation></dates><accession>S-EPMC8763275</accession><cross_references><pubmed>34510453</pubmed><doi>10.1111/1475-6773.13879</doi></cross_references></HashMap>