Introduction
Cityblock's 15% drop in medication adherence rate for chronic disease patients over the past month is a critical issue that demands immediate attention. This metric directly impacts patient health outcomes and the effectiveness of Cityblock's care model. I'll approach this problem systematically, focusing on identifying the root cause, 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 factors could explain temporary changes in patient behavior. Expected answer: No significant seasonal correlation identified. Impact on approach: If seasonal, we'd focus on cyclical strategies; if not, we'd look deeper into internal factors.
Why it matters: Changes in patient demographics could affect overall adherence rates. Expected answer: No major changes in patient demographics. Impact on approach: If demographics have changed, we'd tailor our approach to new patient needs; if not, we'd focus on existing patient engagement strategies.
Why it matters: Changes in how patients receive medications could impact adherence. Expected answer: No significant changes to pharmacy partnerships or delivery processes. Impact on approach: If changes occurred, we'd investigate those specific alterations; if not, we'd look into patient-side factors.
Why it matters: Changes in communication could affect how patients remember and prioritize medication adherence. Expected answer: Some minor updates to the reminder system were implemented. Impact on approach: If changes were made, we'd scrutinize those specific updates; if not, we'd explore other factors affecting patient engagement.
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