<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>3(3)</volume><submitter>Ellis RP</submitter><pubmed_abstract>&lt;h4>Importance&lt;/h4>Current disease risk-adjustment formulas in the US rely on diagnostic classification frameworks that predate the &lt;i>International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM)&lt;/i>.&lt;h4>Objective&lt;/h4>To develop an &lt;i>ICD-10-CM&lt;/i>-based classification framework for predicting diverse health care payment, quality, and performance outcomes.&lt;h4>Design setting and participants&lt;/h4>Physician teams mapped all &lt;i>ICD-10-CM&lt;/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 </pubmed_abstract><journal>JAMA health forum</journal><pagination>e220276</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8956982</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Development and Assessment of a New Framework for Disease Surveillance, Prediction, and Risk Adjustment: The Diagnostic Items Classification System.</pubmed_title><pmcid>PMC8956982</pmcid><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Ash AS</pubmed_authors><pubmed_authors>Hsu HE</pubmed_authors><pubmed_authors>Siracuse JJ</pubmed_authors><pubmed_authors>Hoagland A</pubmed_authors><pubmed_authors>Kuo TC</pubmed_authors><pubmed_authors>Ellis RP</pubmed_authors><pubmed_authors>Lasser KE</pubmed_authors><pubmed_authors>Jacobson BC</pubmed_authors><pubmed_authors>Song C</pubmed_authors><pubmed_authors>Andriola C</pubmed_authors><pubmed_authors>Walkey AJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Development and Assessment of a New Framework for Disease Surveillance, Prediction, and Risk Adjustment: The Diagnostic Items Classification System.</name><description>&lt;h4>Importance&lt;/h4>Current disease risk-adjustment formulas in the US rely on diagnostic classification frameworks that predate the &lt;i>International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM)&lt;/i>.&lt;h4>Objective&lt;/h4>To develop an &lt;i>ICD-10-CM&lt;/i>-based classification framework for predicting diverse health care payment, quality, and performance outcomes.&lt;h4>Design setting and participants&lt;/h4>Physician teams mapped all &lt;i>ICD-10-CM&lt;/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 </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-22T19:44:53.508Z</modification><creation>2024-11-19T21:03:08.849Z</creation></dates><accession>S-EPMC8956982</accession><cross_references><pubmed>35977291</pubmed><doi>10.1001/jamahealthforum.2022.0276</doi></cross_references></HashMap>