Given a data.frame containing doses of antipsychotics to_cpz() converts the doses into the equivalent chlorpromazine (CPZ) doses, using the conversion factors specified in the key.
Usage
to_cpz(
input_data,
ap_label,
dose_label,
route = "oral",
key = chlorpromazineR::gardner2010,
eq_label = "cpz_eq",
factor_label = "cpz_conv_factor",
route_label = NULL,
q_label = NULL
)Arguments
- input_data
data.frame with antipsychotic name and dose data
- ap_label
column in x that stores antipsychotic name
- dose_label
column in x that stores dose
- route
options include "oral", "sai", "lai" or "mixed"
- key
source of the conversion factors–defaults to Gardner et al. 2010
- eq_label
the name of the column to be created, to save the calculated CPZ-equivalent dose
- factor_label
the name of the column to be created to store the conversion factors
- route_label
if "mixed" route is specified, provide the column that stores the route information
- q_label
if long-acting injectable doses are included, provide the column that stores the injection frequency (days), or only if the doses have already been divided, set q_label = 1.
Details
The default key is gardner2010 which has data for both oral and long-acting antipsychotic medications. See help(gardner2010) for the source reference.
See also
Other conversion functions:
to_ap()
Examples
participant_ID <- c("P01", "P02", "P03", "P04")
age <- c(42, 29, 30, 60)
antipsychotic <- c("olanzapine", "olanzapine", "quetiapine", "ziprasidone")
dose <- c(10, 12.5, 300, 60)
example_oral <- data.frame(participant_ID, age, antipsychotic, dose,
stringsAsFactors = FALSE)
to_cpz(example_oral, ap_label = "antipsychotic", dose_label = "dose",
route = "oral")
#> participant_ID age antipsychotic dose cpz_conv_factor cpz_eq
#> 1 P01 42 olanzapine 10.0 30.00 300
#> 2 P02 29 olanzapine 12.5 30.00 375
#> 3 P03 30 quetiapine 300.0 0.80 240
#> 4 P04 60 ziprasidone 60.0 3.75 225