Engaging end-users to develop a novel algorithm to process electronic medication adherence monitoring device data.

ABSTRACT:

Objective

To engage end-users to develop and evaluate an algorithm to convert electronic adherence monitoring device (EAMD) output into the adherence data required for analyses.

Materials and methods

This study included 4 phases. First, process mapping interviews and focus groups were conducted to identify rules for EAMD data processing and user needs. Second, algorithm parameters required to compute daily adherence values were defined and coded in an R package (OncMAP). Third, algorithm-produced data were compared to manually recoded data to evaluate the algorithm's sensitivity, specificity, and accuracy. Finally, pilot testing was conducted to obtain feedback on the perceived value/benefit of the algorithm and features that should be considered during software development.

SUBMITTER: McGrady ME 

PROVIDER: S-EPMC12574791 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature