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 DisplayedEverson J, Hollingsworth JM, Adler-Milstein J
Comparing methods of grouping hospitals.
The purpose of this study was to compare the performance of widely used approaches for defining groups of hospitals and a new approach based on network analysis of shared patient volume. Results showed that community detection algorithm-defined hospital groups offer high validity, reliability to different specifications, and generalizability to many uses when compared to approaches in widespread use today. They may offer a better choice for efforts seeking to analyze the behaviors and dynamics of groups of hospitals. Measures of modularity, shared information, inclusivity, and shared behavior can be used to evaluate different approaches to grouping providers.
AHRQ-funded; HS024525; HS024728; HS024454.
Citation: Everson J, Hollingsworth JM, Adler-Milstein J .
Comparing methods of grouping hospitals.
Health Serv Res 2019 Oct;54(5):1090-98. doi: 10.1111/1475-6773.13188..
Keywords: Health Services Research (HSR), Hospitals, Research Methodologies