The health plans in the National Health Plan Collaborative have been developing and testing strategies to collect race, ethnicity and language data and have used the data to design and implement interventions to reduce disparities in care and improve the quality of care that racial and ethnic populations receive. The case studies included in this toolkit present a sampling of these efforts.
Case studies include:
- Aetna: Voluntary Race, Ethnicity and Language Data Collection Program
- Harvard Pilgrim Health Care: Pilot Test of IVR Outreach Calls as a Mechanism for Collecting Race and Ethnicity Data
- Highmark Inc.: Obtaining Race, Ethnicity and Language Preference Through a Member Survey
- CIGNA: Collecting Race and Ethnicity Data Through a Collaborative Clinical Initiative with a Major Employer
- WellPoint, Inc.: Georgia Telemedicine Diabetes Education Project: Using Proxy Methodologies to Locate High Opportunity Areas
- Use of GIS Mapping and Decision Tools to Address Disparities
- HealthPartners: Formalizing Organizational Best Practices for Language Services Through the Development of a Language Assistance Plan
- United HealthCare: Developing an Asian In-Language Provider Directory
- CIGNA: Facilitating Cultural and Language Match in Behavioral Care
- Molina Healthcare: TeleSalud Program: Providing Direct Access to Language Services
- Molina Healthcare: Maximizing Linguistic Access in Translation
- Kaiser Permanente: Qualified Bilingual Staff Model
- Kaiser Permanente: Health Care Interpreter Certificate Program
- 1. What Categories of Race/Ethnicity to Use?
- 2. Chapter 5: Direct REL Data Collection Methods
- 3. Section 5: Case Studies
- 3.1. Harvard Pilgrim Health Care: Pilot Test of IVR Outreach Calls as a Mechanism for Collecting REL Data
- 3.2. WellPoint, Inc.: Georgia Telemedicine Diabetes Education Project (GPTH): Using Proxy Methodologies to Locate High Opportunity Areas
- 3.3. Molina Healthcare's TeleSalud Program: Providing Direct Access to Language Services
- 3.4. Kaiser Permanente: Qualified Bilingual Staff Model
- 3.5. Kaiser Permanente: Health Care Interpreter Certificate Program
- 3.6. The National Health Plan Collaborative to Reduce Disparities and Improve Quality
- 4. Indirect REL Data Collection Methods
- 5. Chapter 5: Promising Practices in Interpreter Training and Competency Assessments
RWJF examines the types of competitive foods - foods and beverages schools offer outside of meal programs - available in our nation's school...
Recent studies have demonstrated a connection between low-socioeconomic status and poor health in children. This study builds upon previous ...
This study examined the impact that race has on the prevalence of self-reported diabetes for Hispanic and non-Hispanic people. Data from the...
In this article, the authors consider the social, structural and symbolic effects of the recent and rapid spread of legal gambling in the Un...
Immigrants and their children are one of the fastest growing components of the U.S. population. One in five Americans under the age of 18 is...
Most studies investigating links between social capital and health have relied on work by Robert Putnam who conceptualized social capital as...
The present article considered cardiovascular patients' adherence to physicians' medication recommendations. Nonadherence was defined as fol...
This study examined the prevalence of attention-deficit/hyperactivity disorder (ADHD) among children in the United States. Also of interest ...
The current article explored risk factors for iron deficiency for toddlers in the United States with a focus on Hispanic toddlers. Data from...
The research presented in this article compared the density and concentration of pro-tobacco media messages in African-American and White ma...
This article describes efforts to use information on influenza burden and vaccine efficacy to estimate how influenza vaccine recommendations...