National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 1 of 1 Research Studies DisplayedEllis RP, Hsu HE, Siracuse JJ
Development and assessment of a new framework for disease surveillance, prediction, and risk adjustment: the diagnostic items classification system.
The purpose of this study was to develop an updated classification framework for predicting diverse health care payment, quality, and performance outcomes, based on the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). All ICD-10-CM diagnoses were mapped into 3 types of diagnostic items (DXIs): main effect DXIs that specify diseases; modifiers, such as timing and acuity; and scaled variables, such as body mass index, gestational age, and birth weight. The primary outcome was annual health care spending top-coded at $250 000, and the researchers predicted 14 different outcomes, including: hospital days and admissions; emergency department visits; enrollee out-of-pocket spending; spending for 6 types of services; and overall and plan-paid health care spending. The researchers created 3223 DXIs: 2435 main effects, 772 modifiers, and 16 scaled items. The study found that relative to HHS-HCCs, the use of DXIs reduced underpayment for enrollees with rare diagnoses by 83%. The researchers concluded that in this study, for all spending and utilization outcomes considered, the new DXI classification system demonstrated improved predictions over current diagnostic classification systems.
AHRQ-funded; HS026485
Citation: Ellis RP, Hsu HE, Siracuse JJ .
Development and assessment of a new framework for disease surveillance, prediction, and risk adjustment: the diagnostic items classification system.
JAMA Health Forum 2022 Mar;3(3):e220276. doi: 10.1001/jamahealthforum.2022.0276..
.
.
Keywords: Risk, Research Methodologies