costing_opioid_patches_averageMED_long {packDAMipd}

#'########################################################################### Function to estimate the cost of patches when IPD is in long format using a IPD data of long format

Description

#'########################################################################### Function to estimate the cost of patches when IPD is in long format using a IPD data of long format

Usage

costing_opioid_patches_averageMED_long(
  the_columns,
  ind_part_data_long,
  name_med,
  brand_med = NULL,
  dose_med,
  unit_med = NULL,
  no_taken,
  freq_taken,
  timeperiod,
  unit_cost_data,
  unit_cost_column,
  cost_calculated_per,
  strength_column,
  list_of_code_names = NULL,
  list_of_code_freq = NULL,
  list_of_code_dose_unit = NULL,
  list_of_code_brand = NULL,
  eqdose_cov_tab = NULL,
  basis_strength_unit = NULL
)

Arguments

the_columns

columns that are to be used to convert the data from long to wide

ind_part_data_long

IPD

name_med

name of medication

brand_med

brand name of medication if revealed

dose_med

dose of medication used

unit_med

unit of medication ; use null if its along with the dose

no_taken

how many taken

freq_taken

frequency of medication

timeperiod

time period for cost calculation

unit_cost_data

unit costs data

unit_cost_column

column name of unit cost in unit_cost_data

cost_calculated_per

column name of unit in the cost is calculated

strength_column

column column name that contain strength of medication

list_of_code_names

if names is coded, give the code:name pairs, optional

list_of_code_freq

if frequency is coded, give the code:frequency pairs, optional

list_of_code_dose_unit

if unit is coded, give the code:unit pairs, optional

list_of_code_brand

if brand names are coded, give the code:brand pairs, optional

eqdose_cov_tab

table to get the conversion factor for equivalent doses, optional

basis_strength_unit

strength unit to be taken as basis required for total medication calculations

Value

the calculated cost of tablets along with original data

Examples

med_costs_file <- system.file("extdata", "medicaton_costs_all.xlsx",
package = "packDAMipd")
data_file <- system.file("extdata", "medication.xlsx",
package = "packDAMipd")
ind_part_data <- load_trial_data(data_file)
med_costs <- load_trial_data(med_costs_file)
conv_file <- system.file("extdata", "Med_calc.xlsx",package = "packDAMipd")
table <- load_trial_data(conv_file)
names <- colnames(ind_part_data)
ending <- length(names)
ind_part_data_long <- tidyr::gather(ind_part_data, measurement, value,
names[2]:names[ending], factor_key = TRUE)
the_columns <- c("measurement", "value")
res <- costing_opioid_patches_averageMED_long(the_columns,
ind_part_data_long = ind_part_data_long, name_med = "patch_name",
brand_med = "patch_brand", dose_med = "patch_strength",unit_med = NULL,
no_taken = "patch_no_taken", freq_taken = "patch_frequency",
timeperiod = "4 months", unit_cost_data = med_costs,
unit_cost_column = "UnitCost", cost_calculated_per  = "Basis",
strength_column = "Strength", list_of_code_names = NULL,
list_of_code_freq = NULL, list_of_code_dose_unit = NULL,
list_of_code_brand = NULL, eqdose_cov_tab = table,
basis_strength_unit = "mcg/hr")