<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Peacock E</submitter><funding>NCATS NIH HHS</funding><funding>NICHD NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NHLBI NIH HHS</funding><funding>Louisiana Clinical and Translational Science Center</funding><funding>National Institutes of Health</funding><funding>NIAMS NIH HHS</funding><funding>National Institute of General Medical Sciences</funding><pagination>321-329</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10962256</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>366(5)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>To prepare for rollout of a COVID-19 vaccine in fall 2020, there was an urgent need to understand barriers to ensuring equitable access and addressing vaccine skepticism and resistance. This study aimed to understand the association between trusted sources of COVID-19 information and likelihood of vaccination during that time, focusing on lessons learned to prepare for future public health crises.&lt;h4>Methods&lt;/h4>From December 2020-March 2021, we surveyed a probability-based, cross-sectional sample of 955 patients across seven federally qualified health centers (FQHCs) serving predominantly low-income, Black and White populations in southeastern Louisiana. Vaccination likelihood was measured on a 7-point scale; "very likely to vaccinate" was defined as score=7. Trust in h</pubmed_abstract><journal>The American journal of the medical sciences</journal><pubmed_title>COVID-19 vaccination likelihood among federally qualified health center patients: Lessons learned for future health crises.</pubmed_title><pmcid>PMC10962256</pmcid><funding_grant_id>K12 HD043451</funding_grant_id><funding_grant_id>U54 GM10490</funding_grant_id><funding_grant_id>K12 AR084224</funding_grant_id><funding_grant_id>R33 AG068481</funding_grant_id><funding_grant_id>OT2 HL158287</funding_grant_id><funding_grant_id>R01 HL133790</funding_grant_id><funding_grant_id>OT2 HL152640</funding_grant_id><funding_grant_id>OT2 HL158260</funding_grant_id><funding_grant_id>U54 TR001368</funding_grant_id><funding_grant_id>U54 TR001356</funding_grant_id><pubmed_authors>Gilliam D</pubmed_authors><pubmed_authors>Krousel-Wood M</pubmed_authors><pubmed_authors>Williams L</pubmed_authors><pubmed_authors>Craig LS</pubmed_authors><pubmed_authors>Winfrey K</pubmed_authors><pubmed_authors>Davis T</pubmed_authors><pubmed_authors>Valliere M</pubmed_authors><pubmed_authors>Wilson M</pubmed_authors><pubmed_authors>Smith K</pubmed_authors><pubmed_authors>Cyprian A</pubmed_authors><pubmed_authors>Wiltz G</pubmed_authors><pubmed_authors>Peacock E</pubmed_authors><pubmed_authors>Theall K</pubmed_authors><pubmed_authors>Sarpong D</pubmed_authors><pubmed_authors>Nguyen D</pubmed_authors><pubmed_authors>Dahir SA</pubmed_authors><pubmed_authors>Dery M</pubmed_authors><pubmed_authors>Arnold C</pubmed_authors><pubmed_authors>Tang W</pubmed_authors><pubmed_authors>Williams S</pubmed_authors></additional><is_claimable>false</is_claimable><name>COVID-19 vaccination likelihood among federally qualified health center patients: Lessons learned for future health crises.</name><description>&lt;h4>Background&lt;/h4>To prepare for rollout of a COVID-19 vaccine in fall 2020, there was an urgent need to understand barriers to ensuring equitable access and addressing vaccine skepticism and resistance. This study aimed to understand the association between trusted sources of COVID-19 information and likelihood of vaccination during that time, focusing on lessons learned to prepare for future public health crises.&lt;h4>Methods&lt;/h4>From December 2020-March 2021, we surveyed a probability-based, cross-sectional sample of 955 patients across seven federally qualified health centers (FQHCs) serving predominantly low-income, Black and White populations in southeastern Louisiana. Vaccination likelihood was measured on a 7-point scale; "very likely to vaccinate" was defined as score=7. Trust in h</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Nov</publication><modification>2026-03-27T16:51:24.979Z</modification><creation>2025-04-06T15:30:32.788Z</creation></dates><accession>S-EPMC10962256</accession><cross_references><pubmed>37619894</pubmed><doi>10.1016/j.amjms.2023.07.013</doi></cross_references></HashMap>