180215 Racial, Ethnic, and Language Preference Information Demographic Data Collection

Monday, October 27, 2008: 4:30 PM

Melanie Stopponi, MPA , CHES , Institute for Health Research, Kaiser Permanent Colorado, Denver, CO
Arne Beck, PhD , Kaiser Permanente Colorado, Institute for Health Research, Denver, CO
Adolph (Steve) DelCastillo, PhD , Diversity Development Department, Kaiser Permanent Colorado, Denver, CO
Harvey Bograd, MD , Diversity Development Department, Kaiser Permanent Colorado, Denver, CO
"Tell me everything about yourself; who you are, where you are from, what languages are you most comfortable in?" In 2004, the Kaiser Permanente Partnership Group approved a Programwide policy on the collection of race, ethnicity, and language preference data. Meaningful, authentic, and accurate information is essential to the provision of quality and equitable health care. Health disparities among racial and ethnic minorities continue to be persistent and pervasive. Heightening this complexity is increasing immigration from countries and territories outside of the United States. In 2005, there were over 35 million foreign-born persons in the United States; and our Regions rank among the top states with the highest foreign-born populations. A critical barrier to both patient-centered care as well as culturally and linguistically competent care is the frequent lack of patient data. Systematic collection and analysis of demographic data would inform opportunities to improve health care at various levels of service, from provider-patient interaction to system-wide institutional change. Standardized data collection would enhance our care delivery model; improving our ability to eliminate health disparities/inequities as well as attend to the different needs of our various populations. Come explore innovative data collection activities, the challenges and lessons learned in these processes, as well as opportunities for data utilization.

Learning Objectives:
1. List at least two innovative data collection activities. 2. Discuss at least 3 challenges and two lessons learned in data collection. 3. Describe several methods of implementation. 4. List several opportunities for data utilization.

Keywords: Data Collection, Information System Integration

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am the race, ethnicity and language preference project manager.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.