Creating a GPT Agent for medication adherence utilizing the MMAS8 as the foundation and the TSQM

GPT Agents can be created for medication adherence utilizing the validated Morisky Medication Adherence Scale (MMAS-8) as the foundation to identify patient's non-adherence as intentional or unintentional.

For example, questions related to forgetting to take medications or adhering to prescribed regimens may indicate unintentional non-adherence. On the other hand, questions probing into intentional non-adherence may reveal issues like stopping medications when feeling better or deciding to skip doses based on personal judgments.

The GPT Agent then can use the validated Treatment Satisfaction Questionnaire for Medication (TSQM) scale to explor patient satisfaction with the prescribed medications. If a patient reports dissatisfaction with certain aspects of their treatment, it may suggest potential areas for educational counseling.

If the GPT Agent reveals dissatisfaction with the convenience of the medication regimen, educational counseling could focus on simplifying the dosing schedule or providing tools to help patients remember to take their medications. If satisfaction is low due to perceived side effects, counseling may involve addressing misconceptions or exploring alternative medications.