AI in Pharmacy Medication Adherence Programs Quiz

Answers and explanations appear as you take the quiz.

1. What does proportion of days covered measure?
   • The share of days in a period on which the patient had medication on hand, based on fills
   • The share of doses a patient swallowed, verified by camera
   • The number of pharmacy visits per year
   • The percentage of prescriptions that were generic
2. Which drug classes does the guide name in the Part D Star adherence measures?
   • Antibiotics, antivirals and antifungals
   • Opioids, benzodiazepines and stimulants
   • Non-insulin diabetes medicines, RAS antagonists and statins
   • Vaccines, inhalers and eye drops
3. What is the usual PDC threshold for classifying a patient as adherent?
   • 50 percent
   • 100 percent
   • 65 percent
   • 80 percent
4. Why does the guide warn that automatic refills can mislead adherence metrics?
   • Automatic refills are illegal
   • They can raise PDC without changing whether the patient takes the medicine
   • They always lower PDC
   • They remove patients from Star measures
5. What is the purpose of uplift modeling in an adherence program?
   • To estimate for each patient how much outreach changes the outcome, and target those it helps most
   • To predict pharmacy revenue
   • To calculate days supplied
   • To rank drugs by price
6. How does medication synchronization, the appointment-based model, work?
   • It replaces all medications with one combination pill
   • It sends every prescription through mail order
   • It automatically cancels unused prescriptions
   • It aligns refills to one pickup date and adds a regular check-in
7. How are overlapping fills usually handled when calculating PDC?
   • They are deleted
   • They are counted twice
   • The days are shifted forward so early refills are not double-counted
   • They trigger automatic exclusion from the measure
8. What does uplift modeling need in order to be credible, according to the guide?
   • Only demographic data
   • Randomized or well-recorded historical outreach data
   • A list of drug prices
   • Patient satisfaction surveys alone