<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Gansa WH</submitter><funding>NIA NIH HHS</funding><pagination>160-167</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11265611</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>27(2)</volume><pubmed_abstract>&lt;b>&lt;i>Background:&lt;/i>&lt;/b> End-of-life (EoL) care provided to Americans in urban and rural settings is distinct in terms of both available and delivered services. However, much less is known about which geographic, demographic, and health indicators are associated with disparities in EoL care and how individual versus regional characteristics influence quality of care (QoC). &lt;b>&lt;i>Objective:&lt;/i>&lt;/b> This study aimed to assess how regionality, rurality, and individual socioeconomic factors are associated with QoC in the last month of life (LML). &lt;b>&lt;i>Design:&lt;/i>&lt;/b> Nationally representative cross-sectional study using the proxy-completed LML questionnaire as part of the National Health and Aging Trends Study (NHATS). The data were linked at the zip code level to geographic and economic ind</pubmed_abstract><journal>Journal of palliative medicine</journal><pubmed_title>Individual Socioeconomic Factors Have a Greater Impact on End-of-Life Care Outcomes Than Regional Factors.</pubmed_title><pmcid>PMC11265611</pmcid><funding_grant_id>P01 AG066605</funding_grant_id><pubmed_authors>Aldridge M</pubmed_authors><pubmed_authors>Kleijwegt H</pubmed_authors><pubmed_authors>Ankuda C</pubmed_authors><pubmed_authors>Gansa WH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Individual Socioeconomic Factors Have a Greater Impact on End-of-Life Care Outcomes Than Regional Factors.</name><description>&lt;b>&lt;i>Background:&lt;/i>&lt;/b> End-of-life (EoL) care provided to Americans in urban and rural settings is distinct in terms of both available and delivered services. However, much less is known about which geographic, demographic, and health indicators are associated with disparities in EoL care and how individual versus regional characteristics influence quality of care (QoC). &lt;b>&lt;i>Objective:&lt;/i>&lt;/b> This study aimed to assess how regionality, rurality, and individual socioeconomic factors are associated with QoC in the last month of life (LML). &lt;b>&lt;i>Design:&lt;/i>&lt;/b> Nationally representative cross-sectional study using the proxy-completed LML questionnaire as part of the National Health and Aging Trends Study (NHATS). The data were linked at the zip code level to geographic and economic ind</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Feb</publication><modification>2025-04-04T14:04:28.01Z</modification><creation>2025-04-04T14:04:28.01Z</creation></dates><accession>S-EPMC11265611</accession><cross_references><pubmed>37699248</pubmed><doi>10.1089/jpm.2023.0163</doi></cross_references></HashMap>