{"doi":"10.1017/ice.2021.246","title":"Trends in racial and ethnic disparities in coronavirus disease 2019 (COVID-19) outcomes among nursing home residents","abstract":"Abstract Objectives: To evaluate trends in racial and ethnic disparities in weekly cumulative rates of coronavirus disease 2019 (COVID-19) cases and deaths in Connecticut nursing homes. Design: Longitudinal analysis of nursing-home COVID-19 reports and other databases. Multivariable negative binomial models were used to estimate disparities in COVID-19 incidence and fatality rates across nursing-home groups with varying proportions of racial and ethnic minority residents, defined as low-, medium-, medium-high-, and high-proportion groups. Trends in such disparities were estimated from week 1 (April 13) to week 10 (ending on June 19, 2020). Setting: The study was conducted across 211 nursing homes. Results: The average number of cases ranged from 6.1 cases per facility for the low-proportion group to 11.7 cases per facility for the high-proportion group in week 1, and from 26.7 to 58.5 cases per facility in week 10. Compared to the low-proportion group, the adjusted incidence rate ratios (IRRs) for the high-proportion group were 1.18 (95% confidence interval [CI], 0.77–1.80; P &gt; .10) in week 1 and 1.54 (95% CI, 1.05–2.25; P &lt; .05) in week 10, showing a 30% (95% CI, 5%–62%) relative increase ( P &lt; .05). The average weekly number of COVID-19–related deaths ranged from 0 to 0.3 deaths per facility for different groups in week 1, and from 7.6 to 13.3 deaths per facility in week 10. Adjusted disparities in fatalities similarly increased over time. Conclusions: Connecticut nursing homes caring for predominately racial and ethnic minority residents tended to have higher COVID-19 incidence and fatality rates. These across-facility disparities increased during the early periods of the pandemic.","journal":"Infection Control and Hospital Epidemiology","year":2021,"id":195567,"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":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8885,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":242964,"name":"Xueya Cai","orcid":"0000-0001-7922-2703","position":1,"is_corresponding":false},{"id":766909,"name":"Yunjiao Mao","orcid":"0000-0003-4774-048X","position":2,"is_corresponding":false},{"id":766910,"name":"Zijing Cheng","orcid":"0000-0002-4090-7585","position":3,"is_corresponding":false},{"id":242962,"name":"Helena Temkin‐Greener","orcid":"0000-0001-6113-2953","position":4,"is_corresponding":false},{"id":242961,"name":"Yue Li","orcid":"0000-0001-7592-0299","position":0,"is_corresponding":true}],"reference_count":22,"raw_metadata":null,"created_at":"2026-07-18T23:50:07.691929Z","pmid":"34130766","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":[]}