oncmap
Analyze Data from Electronic Adherence Monitoring Devices
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.
- Version0.1.5
- R versionR (≥ 3.60)
- LicenseMIT
- Needs compilation?No
- Last release01/27/2025
Documentation
Team
Michal Kouril
MaintainerShow author detailsMeghan McGrady
Kevin Hommel
Mara Constance
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- Imports6 packages
- Suggests3 packages