The RWJF national program Finding Answers developed a six-step framework to help people and organizations reduce disparities. Now available in a simple graphic that’s easy to distribute—or tack up above your desk—the Roadmap can help you fit reducing disparities into all health care quality improvement efforts.
This detailed curriculum offers step-by-step instructions for reducing disparities, including case studies and an implementation tool kit.
Staff from Finding Answers describe how they developed the six steps to reducing disparities in a supplement to the Journal of General Internal Medicine. They outline their work to conduct systematic reviews of the literature, evaluate promising practices, provide technical assistance to health care organizations and disseminate their findings.
Need the research on what’s worked to reduce disparities? Need it sorted by health topic or strategy? Finding Answers’ FAIR database is the most comprehensive collection of summaries and systematic reviews of racial and ethnic health disparities intervention literature available anywhere. Search by health topic (for instance: asthma, diabetes) or by strategy (for instance: pay for performance, nurse-led interventions).
In January 2013 @FndgAnswers hosted "A Month of Tweets" to amplify the national discussion on finding solutions to health care disparities. They started the month with a newly created Twitter presence and a string of varied topics to get the conversation flowing. Throughout the campaign, Finding Answers shared tips, tools, and updates on Twitter about the latest developments in disparities research, ACA implementation as it relates to disparities, and easy-to-adapt intervention models.
Learn how the campaign unfolded in this Storify recap.
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November 1, 2011 | Issue Brief
This issue brief presents findings collected over 18 months from eight hospitals that participated in a "learning collaborative" to test strategies, quantify results and share lessons learned.
November 1, 2011 | Issue Brief
This issue brief presents the findings of nine hospitals who participated in AF4Q's Language Quality Improvement Collaborative to develop new strategies, quantify results and share lessons learned.
March 24, 2010 | Story
A multidisciplinary team redesigned Montefiore Medical Center's patient registration system to collect data on race, ethnicity and preferred language, and developed a procedure to provide faster treatment for heart attack patients.
August 25, 2009 | News Release
Part of RWJF's "Aligning Forces for Quality" program, the efforts focus on improving quality of cardiac care for African-American and Hispanic patients, and more effective language services for patients who speak little English.
February 20, 2008 | Commentary
De facto racial segregation is a widespread characteristic of the U.S. health care system. This commentary reviews the economic circumstances facing health care providers that treat African-American patients. The author describes models for providing assistance to underfunded organizations.
January 1, 2008 | Toolkit
The report Improving Quality and Achieving Equity: A Guide for Hospital Leaders is a guide meant to take the process of eliminating health disparities to the next level. Documenting health disparities is not sufficient strategies to eliminate them must be more systematically implemented.
June 4, 2008 | Toolkit/Video
The current race and ethnicity categories used by the Office of Management and Budget are the recommended standard, yet given the United States' increasingly diverse population, the Expecting Success program used an expanded list of categories.
June 4, 2008 | Toolkit/Story
Expecting Success, the nation's first multihospital collaborative focused on reducing disparities, helped 10 hospitals measure the quality of cardiac treatment they provide to patients based on their race, ethnicity and primary language.
March 1, 2011 | Issue Brief
An effort to help enhance the quality and equality of U.S. health care.
February 1, 2012 | Journal Article
Pay-for-performance (P4P) programs can boost care quality and lower costs, but might have unintended effects on racial and ethnic disparities. This research highlights the need to consider the impact of P4P on disparities.