Our Past Work Reducing Health Care Disparities through Payment Reform

The program managed three pilot projects working to achieve disparities reductions through a combination of payment and delivery reform. Click on the links below to explore our grantees’ work:

George Mason University, Virginia
Improving screening and disease management for diverse, multilingual patients at safety-net clinics in northern Virginia using team quality improvement incentives.

Icahn School of Medicine at Mount Sinai, New York
Ensuring postpartum care for Medicaid-covered, high-risk, mostly minority women in a New York City health system through physician incentives and coordinated care.

University of Washington, Oregon
Community-based oral health care for mothers and children in rural Oregon using expanded-practice dental hygienists, global budgeting and a team payment incentive.

The three grantee projects have now finished. From their results, Finding Answers has compiled comprehensive lessons learned to help other organizations as they combine payment reform and care delivery reform for optimal effectiveness in reducing health care disparities. You can read the lessons-learned here.

Among the key findings:

• Designing and implementing effective financial incentives to reduce disparities has potential but is more complex than anticipated. There are many things other than money that healthcare teams find motivating and an incorrectly designed financial incentive system can discourage them. Financial incentives are also very challenging and information technology-intensive to implement. Integrated payment and delivery reforms to address disparities need to be tailored to the organizations and settings. There is no one-size-fits-all answer.
• There are many benefits of team-level incentives. One of the advantages is that they can encourage integrated care management as team members strive toward a common goal.
• Data management is critical. Revealing and combating health care disparities requires sustained collection, integration and reporting of race, ethnicity and language (REL) or other key demographic data. Updates on the status of a disparity and related quality of care measures may be more motivating to some health care team members than a financial incentive. 
• Patient navigators and case workers (especially those who share language, identity, or heritage with a vulnerable group) can make a big difference in disparities—if their positions are funded. Flexible funding models and high-level commitment are necessary to ensure their success. Much work remains in changing policy and practice so that payers cover peer-based models.
• Providers and other health care team members are usually surprised about disparities in their patient care. But once they find out, they are highly motivated to do something about it—whether or not you give them money.
• Institutions, leaders, and individual team members must buy in. Policy change and value-based payment systems can encourage health care leaders to prioritize disparities reduction in a sustained way—and make it financially viable to do so. They can also incentivize the hard work of culture change necessary to address disparities.
• Providers are motivated to reduce disparities. New financial models might make it more possible to do so, especially when aligned with state Medicaid programs and federal policies.

Our recommendations include:

• In many cases, payment reform for equity initiatives must incentivize the organization as a whole, including its leaders and investors, not just the practitioners within the organization. Programs must be designed with in-depth knowledge of what organization leaders view as key metrics to monitor and measure that will inform and encourage long-term sustainability.
• To help justify the organizational investments by providers, payer organizations—especially large payers such as state Medicare and Medicaid administrations—could prioritize disparities reduction in their requirements for health plans. Future efforts must explore ways to incorporate disparities-reduction guidelines without negative side effects (for example, they should not overly burden safety-net health systems).
• Because there is no one answer that works to reduce all disparities, incentive systems should be flexible and allow for experimentation and rearranging the care system in whatever way is most effective.
• At every level, improved data collection and management are necessary for the wider adoption of disparities-reduction efforts.