By correlating practices and outcomes globally, our DOPPS program identifies best practices and modifiable characteristics that enhance the health and well-being of patients with kidney disease.
Featuring new scientific work with internationally-known speakers, expert panels, early career investigators, and audience participation.
Our collaboration with the Health Resources and Services Administration (HRSA) National Living Donor Assistance Center (NLDAC) is bringing immeasurable impact and renewed hope to those in need.
The new office is located in the Metro DC area near clients and partners, offering convenience for meetings and collaboration.
Dr. Stanik to assist Arbor Research with further expansion into long-term care, behavioral health, and mixed methods research
Using a mouse model of BA and human liver gene expression data collected by ChiLDReN, we were able to confirm the likely activation of this pathway known as TWEAK/FN14 in association with liver fibrosis. We further showed that inhibition of this pathway pharmacologically was associated with near complete elimination of fibrosis in the mouse model of BA.
Arbor Research will support AHRQ in developing their patient centered outcomes research trust fund (PCORTF) strategic plan, logic model, and theory of change.
Dr. Roberto Pecoits-Filho will lead as the scientific and clinical leader of the world-renowned Dialysis Outcomes and Practice Patterns Study (DOPPS).
Arbor Research will work closely with the Centers for Disease Control and Prevention’s National Healthcare Safety Network to evaluate the ability of electronic health record (EHR) vendors to successfully implement and disseminate a standardized system for Clostridioides difficile infection (CDI) reporting into their EHR system, and assess the concordance of EHR versus manual-based reporting of CDIs by nursing homes.
Arbor Research will collaborate with prime contractor Lewin Group, as well as with the University of Michigan Kidney Epidemiology and Cost Center and ICF to assess the effectiveness of each model.
