What is one of the five principles to modify quality review procedures for addressing healthcare disparities?

The identification of clinical performance measures that are stratified by race, ethnicity, and socioeconomic position is a vital principle in modifying quality review procedures aimed at addressing healthcare disparities. This approach allows for a deeper understanding of how different demographic groups experience healthcare differently. By analyzing data in this way, healthcare providers and policymakers can pinpoint specific disparities and tailor interventions to meet the unique needs of various populations.

Stratifying performance measures helps uncover inequities that may not be apparent when looking at aggregate data. For instance, it may reveal that certain racial or ethnic groups experience poorer health outcomes or receive lower quality care compared to others. This targeted analysis can drive initiatives to reduce these disparities, ensuring that all patients receive equitable care and improving overall health outcomes in vulnerable populations.

In contrast, dismissing disparities, claiming current data collection is sufficient, or advocating for uniform reporting of health outcomes do not acknowledge the complexities and variances in healthcare delivery that different groups face, potentially perpetuating existing inequalities rather than addressing them.