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OncMAP - R Package to analyze data from electronic adherence monitoring devices for oncology and other medications

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.

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Version

Install

install.packages('oncmap')

Monthly Downloads

550

Version

0.1.5

License

MIT + file LICENSE

Maintainer

Michal Kouril

Last Published

January 27th, 2025

Functions in oncmap (0.1.5)

adherence_preprocess

Pre-process time data for adherence
oncmap-package

oncmap: Analyze Data from Electronic Adherence Monitoring Devices
report_adherence

Report standarized output of the adherence processing
process_eamd

Process input file and return adherence report
read_input

Read input file
regimens

Adherence regimens definitions
input_formats

Adherence input format definitions