report_adherence

Report standarized output of the adherence processing

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

report_adherence function

<dl><dt>all_periods</dt>
<dd>output of pre_adherence processing</dd>
<dt>timestamps</dt>
<dd>timestamps dataframe from pre_adherence to calculate times and diffs in the report</dd>
<dt>med</dt>
<dd>Medication name</dd>
<dt>patinfo</dt>
<dd>Patient info - patient specific information</dd>
<dt>adhstart</dt>
<dd>Report adherence start date</dd>
<dt>adhend</dt>
<dd>Report adherence end date</dd></dl>

Arguments

Report standarized output of the adherence processing — report_adherence

<dl>

<dt>all_periods</dt>
<dd>output of pre_adherence processing</dd>


<dt>timestamps</dt>
<dd>timestamps dataframe from pre_adherence to calculate times and diffs in the report</dd>


<dt>med</dt>
<dd>Medication name</dd>


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


<dt>adhstart</dt>
<dd>Report adherence start date</dd>


<dt>adhend</dt>
<dd>Report adherence end date</dd>

</dl>

report_adherence: Report standarized output of the adherence processing

Description

Usage

Value

Arguments