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