{"doi":"10.1371/journal.pone.0305553","title":"Disparities in COVID-19 vaccine intentions, testing and trusted sources by household language for children with medical complexity","abstract":"OBJECTIVES: Children with medical complexity experienced health disparities during the coronavirus disease 2019 (COVID-19) pandemic. Language may compound these disparities since people speaking languages other than English (LOE) also experienced worse COVID-19 outcomes. Our objective was to investigate associations between household language for children with medical complexity and caregiver COVID-19 vaccine intentions, testing knowledge, and trusted sources of information. METHODS: This cross-sectional survey of caregivers of children with medical complexity ages 5 to 17 years was conducted from April-June 2022. Children with medical complexity had at least 1 Complex Chronic Condition. Households were considered LOE if they reported speaking any language other than English. Multivariable logistic regression examined associations between LOE and COVID-19 vaccine intentions, interpretation of COVID-19 test results, and trusted sources of information. RESULTS: We included 1,338 caregivers of children with medical complexity (49% response rate), of which 133 (10%) had household LOE (31 total languages, 58% being Spanish). There was no association between household LOE and caregiver COVID-19 vaccine intentions. Caregivers in households with LOE had similar interpretations of positive COVID-19 test results, but significantly different interpretations of negative results. Odds of interpreting a negative test as expected (meaning the child does not have COVID-19 now or can still get the virus from others) were lower in LOE households (aOR [95% CI]: 0.56 [0.34-0.95]). Households with LOE were more likely to report trusting the US government to provide COVID-19 information (aOR [95% CI]: 1.86 [1.24-2.81]). CONCLUSION: Differences in COVID-19 test interpretations based on household language for children with medical complexity were observed and could contribute to disparities in outcomes. Opportunities for more inclusive public health messaging likely exist.","journal":"PLoS ONE","year":2024,"id":468274,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9565,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1140802,"name":"Kristina Devi Singh‐Verdeflor","orcid":"0009-0003-0689-7197","position":1,"is_corresponding":false},{"id":228226,"name":"Michelle M. Kelly","orcid":"0000-0002-9554-6692","position":2,"is_corresponding":false},{"id":316494,"name":"Daniel J. Sklansky","orcid":"0000-0001-5735-4545","position":3,"is_corresponding":false},{"id":958613,"name":"Kristin A. Shadman","orcid":"0000-0002-4319-2917","position":4,"is_corresponding":false},{"id":959074,"name":"M. Bruce Edmonson","orcid":null,"position":5,"is_corresponding":false},{"id":62925,"name":"Qianqian Zhao","orcid":"0000-0002-8772-5244","position":6,"is_corresponding":false},{"id":336373,"name":"Gregory P. DeMuri","orcid":"0000-0001-6008-8292","position":7,"is_corresponding":false},{"id":364339,"name":"Ryan J. Coller","orcid":"0000-0003-2657-294X","position":8,"is_corresponding":false},{"id":913229,"name":"Laura P. Chen","orcid":"0000-0001-5267-0565","position":0,"is_corresponding":true}],"reference_count":67,"raw_metadata":null,"created_at":"2026-07-19T02:05:19.071498Z","pmid":"38875256","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}