Equity

We Ask Because We Care

The five major health systems in Cincinnati are asking patients to identify their race, ethnicity, and preferred language (R/E/L). The Institute of Medicine’s 2002 report Unequal Treatment detailed consistent evidence of disparities of care provided in the United States. By collecting patient R/E/L data, hospitals can pinpoint possible differences in care and areas for improvement.

“We as a nation are aware...

Updates from Finding Answers: Disparities Research for Change, a national program of the Robert Wood Johnson Foundation, suggest promising strategies for reducing racial and ethnic disparities in care for depression, diabetes, and cardiovascular disease. Since 2005, Finding Answers has awarded and managed research grants totaling $8 million to health care organizations implementing interventions aimed at reducing disparities. The funds have been used to...

To ensure that patients who need medical interpreter services are served as quickly as possible, Steward St. Elizabeth's Medical Center, part of the Boston AF4Q alliance, has replaced beeper dispatching with an innovative use of hand-held technology. Staff medical interpreters now carry iPod Touch devices which alert them each time new requests for language services are made. The interpreters take cases from a digital queue while the intranet-net based dispatching system tracks their work flow in real time. Requests are sent only to the appropriate interpreters – for example,...

Resources
A report summarizing the aggregate findings from the assessment of current R/E/L data collection and use across the AF4Q Alliances, including...
Disparities in care can occur within a wide range of health care settings and are associated with lower quality of care and higher...
A presentation intended for use in provider organizations to train clinicians, managers, and front desk or registration staff to:...
This resource developed by Aligning Forces for Quality outlines R/E/L data collection provisions within Meaningful Use, the Affordable Care Act as...
A report summarizing the aggregate findings from the assessment of current R/E/L data collection and use across the AF4Q Alliances, including...
Assists in the development of equity centered quality improvement agendas.  Introduces the Finding Answers program, and uses it to describe...
Overview of the Finding Answers program as implemented in Birmingham as presented at the November 2010 Aligning Forces for Quality National Meeting...
Addresses hypertension disparities within large insurance corporation beneficiaries.  Includes beneficiary demographics, explanation of...

Impact

Patients with limited English proficiency may have more medical errors and less patient satisfaction when they do not get care in a language they can understand. That is why Ashland Community Hospital in Oregon moved towards higher quality care for their patients when they improved rates for screening preferred spoken language and preferred written language from 1.4 percent to 100 percent in a seven month period. This improvement is attributed to standardizing the collection of self-reported language data from patients during the registration process as part of their work in an AF4Q hospital effort.

Equity 101

Although the quality of health care is poor for many Americans, specific racial and ethnic groups, as well as patients with limited English proficiencies, continue to experience lower quality health care.

By collecting care measures that are stratified by race, ethnicity and language (R/E/L), providers and consumers can pinpoint where inefficiencies lie and develop strategies to correct them.

AF4Q Alliances are incorporating equity and R/E/L into their efforts. Hospitals in AF4Q communities are also participating in language improvement and equity initiatives, implementing strategies to improve the quality of hospital care.