What does the term "data stratification" refer to in HEDIS reporting?

• A. Analyzing data trends over time
• B. Breaking down data by demographics to assess quality disparities
• C. Collecting data from multiple sources
• D. Comparing data across different healthcare facilities

Answer: (B)

The term "data stratification" in HEDIS reporting specifically refers to breaking down data by demographics to assess quality disparities. This process is essential for understanding how different groups within a population are affected by healthcare quality and outcomes, allowing hospitals and healthcare providers to pinpoint areas that may require improvement or targeted interventions.

By stratifying data along demographic lines—such as age, race, gender, socioeconomic status, and geographic location—healthcare organizations can identify inequities in care and service delivery. This insight helps facilitate more equitable healthcare practices and inform policy, leading to improved health outcomes for various populations.

In contrast, other options touch upon different aspects of data analysis but do not align with the specific function of stratification. Analyzing data trends over time focuses on temporal changes rather than demographic differences, collecting data from multiple sources pertains to data gathering techniques, and comparing data across different healthcare facilities involves benchmarking rather than the assessment of disparities in care. Thus, the essence of data stratification lies in its role in highlighting and addressing quality disparities among different demographic groups.