Introduction
The 15% drop in prescription claims for Tufts Health Plan's commercial plans is a significant issue that requires thorough investigation. I'll approach this problem systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal patterns could indicate external factors rather than internal issues. Expected answer: The drop is consistent across months. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and external factors.
Why it matters: Changes in coverage could directly impact claim volumes. Expected answer: No significant changes to coverage or copays. Impact on approach: If changes occurred, we'd analyze their specific impact on claims.
Why it matters: Demographic changes could explain variations in prescription needs. Expected answer: No major demographic shifts noted. Impact on approach: If shifts occurred, we'd segment data to isolate their impact.
Why it matters: Market changes could affect member retention or acquisition. Expected answer: No major market disruptions. Impact on approach: If market changes occurred, we'd analyze their impact on member behavior.
Why it matters: Technical issues could lead to underreporting of claims. Expected answer: No known changes to claims processing. Impact on approach: If changes occurred, we'd focus on technical audits and data validation.
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