This package analyse prescription drugs deliveries to calculate several indicators of polypharmacy corresponding to the various definitions found in the literature.
It is essential to know the concepts used to calculate the various
polypharmacy indicators to adequately use this package.
The core of the package is the data_process()
function that creates
the data.table
of pharmacists drug deliveries by restructuring the
drug delivery records (usually extracted from a pharmacy or a health
insurance information system) into continuous periods of drug
availability, applying user-defined arguments such as the grace periods
between renewals or the longest treatment duration that an individual
may accumulate through the successive renewals.
Then, each polypharmacy indicator can be computed using the
corresponding function (ind_simult()
, ind_stdcumul()
,
ind_wcumul()
, ind_stdcontinuous()
, ind_ucontinuous()
) or using the
overall function indicators()
and select all the desired indicator(s)
to be calculated at once.
Prior to running data_process()
the user may need to pre-process the
table of original drug delivery records to break down combination drug
into their individual components (drugs_bkdn()
) and/or to overwrite
the treatment duration of specified drugs with constant time periods
(cst_trt_dur()
).
install.packages("polypharmacy")
To get a bug fix or to use a feature from the development version, you
can install the development version of polypharamcy
from GitHub.
# install.packages("remotes")
remotes::install_github("guiboucher/polypharmacy")
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