Personalized Predictive Model to Predict Subtask Success of Medication Adherence Technologies for Older Adults With Diverse Capabilities: Development and Internal Validation Study

Bincy Baby   ¹ , PharmD, MSc Pharmacy ;   Ghada Elba   ¹ , PharmD, MSc Pharmacy ;   Minzee Kim   ² , BSc, MMath ;   SooMin Park   ¹ ;   Imra Hudani   ¹ , BSc ;   Rishabh Sharma   ¹ , PharmD, MSc Pharmacy ;   Halak Patel   ¹ ;   Sidharth Bajaj   ² , BMath, MMath ;   P K Patterson   ³ , BA ;   Annette McKinnon   ³ ;   Sara J T Guilcher   ⁴ , PT, PhD ;   Feng Chang   ¹ , PharmD ;   Linda Lee   ⁵ , MD, MCISc(FM) ;   Catherine Burns   ⁶ , PEng, PhD ;   Ryan Griffin   ⁷ , P.Eng, PhD ;   Joslin Goh   ² , BSc, MSc, PhD ;   Tejal Patel   ^{1, 8} , BScPharm, PharmD

¹ School of Pharmacy, University of Waterloo, Waterloo, ON, Canada

² Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada

³ Patient Advisor’s Network, Toronto, ON, Canada

⁴ Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada

⁵ Department of Family Medicine, McMaster University, Hamilton, ON, Canada

⁶ Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada

⁷ National Research Council Canada, Ottawa, ON, Canada

⁸ Schlegel-UW Research Institute for Aging, Waterloo, ON, Canada