adherence_preprocess

Pre-process time data for adherence

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.

Michal Kouril

oncmap

Analyze Data from Electronic Adherence Monitoring Devices

Meghan McGrady

Mara Constance

Kevin Hommel

adherence_preprocess function

<dl><dt>timestamps</dt>
<dd>Input timestamps - vector of timestamps</dd>
<dt>regimen</dt>
<dd>Regimen - regimen definition</dd>
<dt>patinfo</dt>
<dd>Patient info - patient specific information</dd>
<dt>nonmonit</dt>
<dd>Non-monitored date intervals</dd></dl>

Arguments

Pre-process time data for adherence — adherence_preprocess

<dl>

<dt>timestamps</dt>
<dd>Input timestamps - vector of timestamps</dd>


<dt>regimen</dt>
<dd>Regimen - regimen definition</dd>


<dt>patinfo</dt>
<dd>Patient info - patient specific information</dd>


<dt>nonmonit</dt>
<dd>Non-monitored date intervals</dd>

</dl>

adherence_preprocess: Pre-process time data for adherence

Description

Usage

Value

Arguments