Perceived AID Algorithm Performance and Hypoglycemia Prevalence in PWD

What's the Story?

Hypoglycemia among AID users remains largely unexplored. dQ&A data show that users' perceptions of an algorithm's aggressiveness strongly impact satisfaction and NPS.

Does this perception shape hypoglycemia experiences? What does it reveal about AID products?

Study Findings

  • We explored how AID algorithm perception relates to frequent hypoglycemia and changes in self-reported BG thresholds for treating lows and highs.
  • People who feel their algorithm is “just right” experience the least high-impact hypoglycemia, while those who find it “too aggressive” report the most; “too conservative” falls between the two. High-impact hypoglycemia includes daily or near-daily mild episodes and at least weekly moderate events.
  • Users who perceive their algorithm as “too conservative” intervene at lower blood glucose levels for both highs and lows, suggesting a less proactive approach to treating lows and a tendency to rebound after addressing highs.
  • These insights highlight the complexity of hypoglycemia management with AID systems and underscore the value of tailoring algorithms to each individual for optimal outcomes.

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