Combining HEDIS indicators: a new approach to measuring plan performance

Area of Science:

• Health Services Research
• Healthcare Quality Measurement
• Health Informatics

Background:

• The Health Plan Employer Data and Information Set (HEDIS) provides crucial performance metrics for health plans.
• Existing HEDIS reporting may benefit from integrated analysis for clearer insights.
• Medicare managed care (MMC) is transitioning towards outcomes-based performance assessment.

Purpose of the Study:

• To develop and validate a composite scoring framework for 17 HEDIS indicators.
• To enhance the interpretability of HEDIS performance data for healthcare quality assessment.
• To support the Centers for Medicare & Medicaid Services (CMS) in developing an outcomes-based MMC performance program.

Main Methods:

• A novel framework was developed to combine 17 HEDIS indicators into a single composite score.
• Reliability of the composite scale was assessed using coefficient alpha.
• Principal components analysis was employed to identify underlying dimensions of the scale.

Main Results:

• The composite scale demonstrated high reliability, with a coefficient alpha of 0.88.
• Principal components analysis identified three key components: disease management effectiveness, access to preventive/follow-up care, and medication compliance in depression treatment.
• The developed framework offers a unified approach to HEDIS data interpretation.

Conclusions:

• The new composite scoring framework provides a reliable and interpretable method for analyzing HEDIS performance data.
• This approach is a significant advancement for CMS in establishing an outcomes-focused MMC performance assessment program.
• Improved interpretation of HEDIS data can drive better healthcare quality and patient outcomes.