Detailed Explanation:
In order to prioritize a neighborhood for additional interventions, the quality professional should consider which neighborhood has the highest percentage of patients who are not adhering to their medication regimen, as this indicates a greater need for support and resources.
Interpretation of Data Trends:
Neighborhood A: Medication non-adherence increased from 5% to 10%.
Neighborhood B: A slight improvement in adherence, with a decrease from 43% to 42%.
Neighborhood C: A significant increase in non-adherence, from 20% to 40%.
Neighborhood D: The highest rate of non-adherence, rising from 38% to 44%.
Analysis ofPriority for Intervention:
Neighborhood D has the highest percentage of patients not taking their medications for 30+ days in Year 2 (44%).
Although Neighborhood C shows a sharp increase in non-adherence (from 20% to 40%), Neighborhood D has both a higher baseline and an increase, suggesting a consistently higher risk that requires priority intervention.
Conclusion:
Based on these trends, Neighborhood D should be prioritized because it has the highest current rate of non-adherence and an upwardtrend, signaling a significant barrier to medication adherence among residents.
[References:, This analysis aligns with quality improvement principles such as identifying high-risk populations and targeting interventions based on data analysis and trend evaluation, as recommended in healthcare quality improvement resources and CPHQ study materials on population health management and intervention prioritization., , , , , ]
