Oral

The session highlights the importance of rigorous and robust methodologies in data collection, missing data imputation, and perception and experience measurement while also including sessions that provide real world tests of these measures in clinical and community- based participatory research settings. Several different data sources will be presented along with the benefits and limitations depending upon individual research goals. Tying together the five Disparity presentations are the goals of health service equity and Health Care Quality Best Practice achievement for conducting research within ethnic and racial minority populations. This session has strong public health relevance for researchers, practitioners and policy analysts who are concerned with strong data and research findings that truly represent ethnical and racial minority representation, perceptions and experiences in the US health care system.

Session Objectives: 1. Identify which databases are best for identifying true valid measurements in ethnic minority populations. 2. Describe the multilayered approach to race imputation and why it is valid. 3. Identify how perception of discrimination is operationalized.

CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH)