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.

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.

Value

data.frame with new variables storing conversion factor and CPZ-equivalent doses

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