{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Milando CW"],"funding":["NIEHS NIH HHS","Wellcome Trust"],"pubmed_abstract":["<h4>Background</h4>Extreme ambient heat is unambiguously associated with higher risk of illness and death. The Optum Labs Data Warehouse (OLDW), a database of medical claims from US-based patients with commercial or Medicare Advantage health insurance, has been used to quantify heat-related health impacts. Whether results for the insured sub-population are generalizable to the broader population has to our knowledge not been documented. We sought to address this question, for the US population in California from 2012 to 2019.<h4>Methods</h4>We examined changes in daily rates of emergency department (ED) encounters and in-patient hospitalization encounters for all-causes, heat-related outcomes, renal disease, mental/behavioral disorders, cardiovascular disease, and respiratory disease. OLDW"],"journal":["Epidemiology (Cambridge, Mass.)"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7616519"],"repository":["biostudies-literature"],"pubmed_title":["Generalizability of heat-related health risk associations observed in a large healthcare claims database of patients with commercial health insurance."],"pmcid":["PMC7616519"],"funding_grant_id":["216033","R01 ES029950"],"pubmed_authors":["Wellenius GA","Milando CW","Romitti Y","Gause EL","Sue Wing I","Spangler KR","Sun Y","Nori-Sarma A"],"additional_accession":[]},"is_claimable":false,"name":"Generalizability of heat-related health risk associations observed in a large healthcare claims database of patients with commercial health insurance.","description":"<h4>Background</h4>Extreme ambient heat is unambiguously associated with higher risk of illness and death. The Optum Labs Data Warehouse (OLDW), a database of medical claims from US-based patients with commercial or Medicare Advantage health insurance, has been used to quantify heat-related health impacts. Whether results for the insured sub-population are generalizable to the broader population has to our knowledge not been documented. We sought to address this question, for the US population in California from 2012 to 2019.<h4>Methods</h4>We examined changes in daily rates of emergency department (ED) encounters and in-patient hospitalization encounters for all-causes, heat-related outcomes, renal disease, mental/behavioral disorders, cardiovascular disease, and respiratory disease. OLDW","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2025-04-04T08:22:12.319Z","creation":"2025-04-04T08:22:12.319Z"},"accession":"S-EPMC7616519","cross_references":{"pubmed":["39120949"],"doi":["10.1097/EDE.0000000000001781"]}}