Transcript Document
Development of the HMO Research Network:
Insights and Lessons Learned
Texas Medicaid Managed Care Quality Forum February 23, 2011
Sarah M. Greene, MPH Group Health Research Institute
Overview
What is the HMO Research Network?
How does it work?
What insights from our research network experience might be applicable in other settings?
In the beginning…(1994)
Frequent research partnerships among a small group of scientists based at a handful (n = 10) of integrated delivery systems “Let’s form a Network!” Coalition of the willing Shared commitment to non-proprietary, public domain research Objective: To improve population health and health care through collaborative research, dissemination, and sharing of best practices and methodologies
Health Systems + Research Centers =
Hallmarks of Member Sites
Stable presence in community
Mature
Comprehensive data
Defined population base
Commitment to research in the public’s interest
Combined population ~11M
Mix of healthcare delivery arrangements
Characteristics of our Population
Then and Now: Milestones
CDC funds Vaccine Safety Datalink (mid-1990s) Founding member’s sabbatical at NIH (1997) Establishment of the HMO Cancer Research Network Spawned development of other topical networks in pharmacoepidemiology, CVD, mental health Infrastructure building contract in 2005 – codified processes, created resources Surfeit of ARRA funding, still more topic-specific networks (asthma, diabetes, hepatitis C) Today: Invited by Francis Collins to propose a “Collaboratory” to facilitate broad platform of population-based research
370 researchers
What do they do?
Many Networks within the Network
Asthma
HMO Research Network
Diabetes Hep C CRN TBD RN PGRN SPAN CVRN DRN CERT MHRN
How Does It Work?
Governance
Fairly informal Has functioned largely as an alliance of willing collaborators with little formal organizational structure Board of Governors (1 Center Director/site) provides overall leadership; Chair rotates every 2 years Committees oversee data development, stewardship of HMORN’s key assets (scientists, infrastructure, etc.) Financial contributions from each support some centralized administration functions (accounting, communication, web) Topical Research Networks are linked but still autonomous Adolescence – changes are on the horizon
How Does It Work?
Data
Model of choice: the “Virtual Data Warehouse” (VDW) Could also call it a Distributed Data Warehouse - the data are real enough but each site maintains its native data at its own site until needed for approved research activities The VDW is… …a series of dataset standards and automated processes at each of 11 sites, that allow a SAS program written at one site to be run against all the others quickly and with a minimum of site-specific customization
Schematic of How the VDW works
Leadership through VDW Oversight Committee milestones, identify quality assurance issues – technical and scientific experts who prioritize, set
VDW Successes, Persistent Challenges
Assuages concerns related to centralized data repository All sites have functional version of VDW with 6 data areas Enables rapid turnaround on feasibility requests
“How may ____ cases were there at sites X, Y, Z in 2001?”
Ongoing opportunity to improve data quality Aggregation across dozens of underlying legacy datasets Yes, we do use it for research Highly dependent on health system; no control over health system migrating to a new EHR Site-to-site VDW implementation varies (for many reasons) Significant investment of time and resources at site level Federated data model defies easy explanation Misperceptions are common – assume it’s automated (it’s NOT!) Two-way communication as anomalies are identified
The HMORN Today
Dedicated contract to build HMORN wide infrastructure Membership growth and scientific synergies Health reform debate, ARRA and CER priorities Growth!
Member $$ assessments initiated Demonstrated success of HMORN projects = visibility
Insights, Implications, Lessons
Unique features of delivery system research
Why do we do this? Advantages of scientific evidence from large, integrated health plans:
Reflects care in real-world, everyday settings Follows large, stable, diverse populations over time; generalizable Provides access to data on health outcomes and the cost of care – “the whole picture”
Ideal: Learning Health Care Systems
“Meaningful Use” of Research Findings
The HMORN enables reciprocal or bidirectional learning between the health research enterprise and national priorities, as well as between research and health systems
Hard, messy work
Knowledge translation = holy grail of biomedicine MDs: 75 studies and 12 journals/day just to keep up
Ingredients for Research Network Success Shared vision and purpose Commitment to dissemination and diffusion of findings Sustainable financial model Vigilance about collaboration’s “burden to benefit ratio” Alignment of approaches to data use/aggregation/sharing Evaluation – check-in systematically w/research teams Bring researchers & practitioners/providers together as often as possible to share views, ideas Recognize and leverage diversity within the Network (of the population, the research disciplines, the practice settings)
Thank you!
www.hmorn.org