ihpi partnerships n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
IHPI Partnerships PowerPoint Presentation
Download Presentation
IHPI Partnerships

Loading in 2 Seconds...

play fullscreen
1 / 6

IHPI Partnerships - PowerPoint PPT Presentation


  • 72 Views
  • Uploaded on

IHPI Partnerships. Robert M. Merion, MD, FACS President, Arbor Research Collaborative for Health Professor of Surgery, University of Michigan May 26, 2011. Advancing Medicine and Promoting Health. Typical pathways to research ideas and funding Investigator-initiated RFP-driven

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'IHPI Partnerships' - olwen


Download Now An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
ihpi partnerships

IHPI Partnerships

Robert M. Merion, MD, FACS

President, Arbor Research Collaborative for Health

Professor of Surgery, University of Michigan

May 26, 2011

advancing medicine and promoting health
Advancing Medicine and Promoting Health
  • Typical pathways to research ideas and funding
    • Investigator-initiated
    • RFP-driven
  • Mechanisms to support research
    • Traditional grants
    • Research contracts
    • Philanthropy
  • Conventional wisdom
    • Grants mainly lead to manuscripts
    • Research contracts mainly lead to reports
    • Disseminating new knowledge and changing practice is challenging, expensive, and foreign to many of us
dynamic relationships
Dynamic Relationships

Industry/Consortium Research Contracts

Traditional Grants

(R01, U01)

Peer-reviewed

Manuscripts

Changes in

Practice

Intended and Unintended Consequences

Government Research Contracts

Changes in

Policy/Reimbursement

looking for synergy
Looking for Synergy

Industry/Consortium Research Contracts

Traditional Grants

(R01, U01)

Peer-reviewed

Manuscripts

Changes in

Practice

Government Research Contracts

Changes in

Policy/Reimbursement

study of medicare payment reform and health disparities in renal dialysis
Study of Medicare Payment Reform andHealth Disparities in Renal Dialysis
  • NIH R01 grant awarded to Arbor Research by National Institute of Minority Health and Health Disparities (2011-2015)
  • Study effects of the new Medicare Prospective Payment System (PPS) for dialysis services on health disparities
    • Risk for health disparity groups due to differences in treatment costs not captured by PPS (Black, rural)
    • Examine changes in clinical outcomes, access to care, and clinical processes of care
  • Combines data collected for the Dialysis Outcomes and Practice Patterns Study (DOPPS) with Medicare data
combining two complementary data sources
Combining Two Complementary Data Sources
  • Dialysis Outcomes and Practice Patterns Study (DOPPS)
  • International study (12 countries) coordinated by Arbor Research
  • Representative, random sample of dialysis facilities
  • 4,500 patients, 140 US dialysis facilities
  • Key strengths:
  • Timely data (~4 month lag)
  • Detailed treatment practices & outcomesin hemodialysis
  • Pre-dialysis care
  • Extensive comorbid conditions
  • Use of medications
  • Lab values
  • Quality of life
  • Medicare
  • Administrative data for all Medicare dialysis patients from CMS
  • 330,000 patients, 5,000 dialysis facilities
  • Key strengths:
  • Includes most US dialysis patients (diagnosis of renal failure is a basis for Medicare eligibility)
  • Statistical power
  • All types of dialysis
  • Key quality indicators
  • Utilization of services and clinical diagnoses from claims
  • Hospitalization
  • Evaluation of health disparities