Current Projects Spotlight
- NEW! Understanding efficiency is one way to evaluate the performance of dialysis facilities. Although Medicare has announced plans to include efficiency measures in the ESRD QIP in the near future, they have also acknowledged that they are unaware of any appropriate efficiency measures of dialysis facilities. Among other factors contributing to efficiency, we plan to study injectable drug input costs, changing treatment goals, and payments. Our first analysis looks at the use of epoetin therapy in managing anemia. Hopefully, our research will shed new light on the appropriateness of using such an efficiency measure in calculating future ESRD bundled payment adjustments.
- Comparison of Dynamic Treatment Strategies PCORI Pilot Project Co-Principal Investigators: Yi Zhang, MTPPI and Miguel Hernan, Harvard School of Public Health Goal: Compare the merits and caveats of two causal modeling techniques – inverse probability weighting and g-estimation – for application in dynamic treatment strategies using observational data.
- Creation of a Risk-scoring Algorithm for Early Mortality NIA R21 AG043516 Principal Investigator Mae Thamer, MTPPI Goal: Develop a risk score to predict early mortality among elderly patients initiating dialysis.
- ESA Outcomes among Anemic CKD Patients AHRQ R01 HS021229 Principal Investigator, Dennis Cotter Goal: Determine optimal initiation of ESA therapy among a cohort of Marshfield Clinic stage 4 & 5 chronic kidney disease patients in terms of mortality and cardiovascular disease outcomes.
- Impact of Payment Reform on Dialysis Modality Choice AHRQ R03 HS022931 Principal Investigator, Yi Zhang Goal: Using an interrupted time series model, examine the impact of the newly implemented ESRD Prospective Payment System on changes in dialysis modality.
- Development of a CI Toolkit for Patient-Centered Outcomes Research PCORI Methods Co-Principal Investigators: Yi Zhang, MTPPI and Miguel Hernan, Harvard School of Public Health Goal: Design and develop a causal modeling toolkit for use by clinician researchers using large observational datasets to address patient-centered outcome research questions.