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 Date
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 DisplayedGeorge EI, Ročková V, Rosenbaum PR
Mortality rate estimation and standardization for public reporting: Medicare’s Hospital Compare.
The authors calibrated Bayesian recommendation systems by checking, out of sample, whether predictions aggregate to give correct general advice derived from another sample. Their process leads to substantial revisions in the Hospital Compare model for acute myocardial infarction mortality. They found that indirect standardization, as currently used by Hospital Compare, fails to adequately control for differences in patient risk factors and systematically underestimates mortality rates at the low volume hospitals. They proposed direct standardization instead.
AHRQ-funded; HS021854.
Citation: George EI, Ročková V, Rosenbaum PR .
Mortality rate estimation and standardization for public reporting: Medicare’s Hospital Compare.
Journal of the American Statistical Association 2017;112(519):933-47. doi: 10.1080/01621459.2016.1276021.
.
.
Keywords: Hospitals, Medicare, Mortality, Provider Performance