Medication adherence, defined as medication-taking behavior that aligns with the agreed-upon treatment protocol, is critical for realizing the benefits of prescription medications. Medication adherence can be assessed using electronic adherence monitoring devices (EAMDs), pill bottles or boxes that contain a computer chip that records the date and time of each opening (or “actuation”). Before researchers can use EAMD data, they must apply a series of decision rules to transform actuation data into adherence data. The purpose of this R package ('oncmap') is to transform EAMD actuations in the form of a raw .csv file, information about the patient, regimen, and non-monitored periods into two daily adherence values – Dose Taken and Correct Dose Taken.

Access to the R package is on CRAN or here https://github.com/oncmap/oncmap.git.

Access to the R Shiny UI for oncmap is upon request -- please send us a note at Michal.Kouril@cchmc.org.