<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Aswani MS</submitter><funding>NIA NIH HHS</funding><funding>National Institute on Aging</funding><pagination>4416-4436</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6232392</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>53(6)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>To identify hospital/county characteristics and sources of regional heterogeneity associated with readmission penalties.&lt;h4>Data sources/study setting&lt;/h4>Acute care hospitals under the Hospital Readmissions Reduction Program from fiscal years 2013 to 2018 were linked to data from the Annual Hospital Association, Centers for Medicare and Medicaid Services, Medicare claims, Hospital Compare, Nursing Home Compare, Area Resource File, Health Inequity Project, and Long-term Care Focus. The final sample contained 3,156 hospitals in 1,504 counties.&lt;h4>Data collection/extraction methods&lt;/h4>Data sources were combined using Medicare hospital identifiers or Federal Information Processing Standard codes.&lt;h4>Study design&lt;/h4>A two-level hierarchical model with correlated random effe</pubmed_abstract><journal>Health services research</journal><pubmed_title>Differential Impact of Hospital and Community Factors on Medicare Readmission Penalties.</pubmed_title><pmcid>PMC6232392</pmcid><funding_grant_id>F31 AG052276</funding_grant_id><funding_grant_id>F31AG052276</funding_grant_id><pubmed_authors>Becker DJ</pubmed_authors><pubmed_authors>Kilgore ML</pubmed_authors><pubmed_authors>Redden DT</pubmed_authors><pubmed_authors>Blackburn J</pubmed_authors><pubmed_authors>Aswani MS</pubmed_authors><pubmed_authors>Sen B</pubmed_authors></additional><is_claimable>false</is_claimable><name>Differential Impact of Hospital and Community Factors on Medicare Readmission Penalties.</name><description>&lt;h4>Objective&lt;/h4>To identify hospital/county characteristics and sources of regional heterogeneity associated with readmission penalties.&lt;h4>Data sources/study setting&lt;/h4>Acute care hospitals under the Hospital Readmissions Reduction Program from fiscal years 2013 to 2018 were linked to data from the Annual Hospital Association, Centers for Medicare and Medicaid Services, Medicare claims, Hospital Compare, Nursing Home Compare, Area Resource File, Health Inequity Project, and Long-term Care Focus. The final sample contained 3,156 hospitals in 1,504 counties.&lt;h4>Data collection/extraction methods&lt;/h4>Data sources were combined using Medicare hospital identifiers or Federal Information Processing Standard codes.&lt;h4>Study design&lt;/h4>A two-level hierarchical model with correlated random effe</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Dec</publication><modification>2025-04-05T09:52:36.136Z</modification><creation>2025-04-05T09:52:36.136Z</creation></dates><accession>S-EPMC6232392</accession><cross_references><pubmed>30151882</pubmed><doi>10.1111/1475-6773.13030</doi></cross_references></HashMap>