Fairer ways to compare healthcare providers
Improve Statistical Methods for Profiling of Healthcare Providers
This project makes statistical tools that give dialysis patients and other healthcare users more accurate and fair comparisons of providers.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-11332628 on NIH RePORTER |
What this research studies
The team analyzes large national dialysis records to spot and fix biases that make some providers look artificially better or worse. They will build an individualized empirical null method to account for unexplained differences across clinics and pick the most relevant comorbidity measures for risk adjustment. By using data from millions of patients across thousands of facilities, the work aims to reduce false flags that disproportionately affect larger centers. The methods are meant to improve how payers and regulators monitor provider performance so comparisons better reflect true care quality.
Who could benefit from this research
Good fit: People with end-stage renal disease who receive dialysis are the primary patient group whose data are used and who could benefit from fairer provider comparisons.
Not a fit: Patients without kidney failure or those not treated in dialysis settings are unlikely to be directly affected by this work.
Why it matters
Potential benefit: If successful, this could help patients choose providers more confidently and reduce unfair penalties or closures based on misleading performance scores.
How similar studies have performed: Existing profiling methods are widely used but have known biases, and this individualized empirical null approach is a newer method designed to correct those problems.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: He, Zhi Kevin — University of Michigan at Ann Arbor
- Study coordinator: He, Zhi Kevin
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.