{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["3(3)"],"submitter":["Ellis RP"],"pubmed_abstract":["<h4>Importance</h4>Current disease risk-adjustment formulas in the US rely on diagnostic classification frameworks that predate the <i>International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM)</i>.<h4>Objective</h4>To develop an <i>ICD-10-CM</i>-based classification framework for predicting diverse health care payment, quality, and performance outcomes.<h4>Design setting and participants</h4>Physician teams mapped all <i>ICD-10-CM</i> diagnoses into 3 types of diagnostic items (DXIs): main effect DXIs that specify diseases; modifiers, such as laterality, timing, and acuity; and scaled variables, such as body mass index, gestational age, and birth weight. Every diagnosis was mapped to at least 1 DXI. Stepwise and weighted least-squares estimation predicted "],"journal":["JAMA health forum"],"pagination":["e220276"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8956982"],"repository":["biostudies-literature"],"pubmed_title":["Development and Assessment of a New Framework for Disease Surveillance, Prediction, and Risk Adjustment: The Diagnostic Items Classification System."],"pmcid":["PMC8956982"],"pubmed_authors":["Liu Y","Ash AS","Hsu HE","Siracuse JJ","Hoagland A","Kuo TC","Ellis RP","Lasser KE","Jacobson BC","Song C","Andriola C","Walkey AJ"],"additional_accession":[]},"is_claimable":false,"name":"Development and Assessment of a New Framework for Disease Surveillance, Prediction, and Risk Adjustment: The Diagnostic Items Classification System.","description":"<h4>Importance</h4>Current disease risk-adjustment formulas in the US rely on diagnostic classification frameworks that predate the <i>International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM)</i>.<h4>Objective</h4>To develop an <i>ICD-10-CM</i>-based classification framework for predicting diverse health care payment, quality, and performance outcomes.<h4>Design setting and participants</h4>Physician teams mapped all <i>ICD-10-CM</i> diagnoses into 3 types of diagnostic items (DXIs): main effect DXIs that specify diseases; modifiers, such as laterality, timing, and acuity; and scaled variables, such as body mass index, gestational age, and birth weight. Every diagnosis was mapped to at least 1 DXI. Stepwise and weighted least-squares estimation predicted ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-22T19:44:53.508Z","creation":"2024-11-19T21:03:08.849Z"},"accession":"S-EPMC8956982","cross_references":{"pubmed":["35977291"],"doi":["10.1001/jamahealthforum.2022.0276"]}}