addDrugUtilisation: Add new columns with drug use related information

Description

Add new columns with drug use related information

Usage

addDrugUtilisation(
  cohort,
  gapEra,
  conceptSet = NULL,
  ingredientConceptId = NULL,
  indexDate = "cohort_start_date",
  censorDate = "cohort_end_date",
  restrictIncident = TRUE,
  numberExposures = TRUE,
  numberEras = TRUE,
  daysExposed = TRUE,
  daysPrescribed = TRUE,
  timeToExposure = TRUE,
  initialExposureDuration = TRUE,
  initialQuantity = TRUE,
  cumulativeQuantity = TRUE,
  initialDailyDose = TRUE,
  cumulativeDose = TRUE,
  nameStyle = "{value}_{concept_name}_{ingredient}",
  name = NULL
)

Value

The same cohort with the added columns.

Arguments

cohort: A cohort_table object.
gapEra: Number of days between two continuous exposures to be considered in the same era.
conceptSet: List of concepts to be included.
ingredientConceptId: Ingredient OMOP concept that we are interested for the study.
indexDate: Name of a column that indicates the date to start the analysis.
censorDate: Name of a column that indicates the date to stop the analysis, if NULL end of individuals observation is used.
restrictIncident: Whether to include only incident prescriptions in the analysis. If FALSE all prescriptions that overlap with the study period will be included.
numberExposures: Whether to include 'number_exposures' (number of drug exposure records between indexDate and censorDate).
numberEras: Whether to include 'number_eras' (number of continuous exposure episodes between indexDate and censorDate).
daysExposed: Whether to include 'days_exposed' (number of days that the individual is in a continuous exposure episode, including allowed treatment gaps, between indexDate and censorDate; sum of the length of the different drug eras).
daysPrescribed: Whether to include 'days_prescribed' (sum of the number of days for each prescription that contribute in the analysis).
timeToExposure: Whether to include 'time_to_exposure' (number of days between indexDate and the first episode).
initialExposureDuration: Whether to include 'initial_exposure_duration' (number of prescribed days of the first drug exposure record).
initialQuantity: Whether to include 'initial_quantity' (quantity of the first drug exposure record).
cumulativeQuantity: Whether to include 'cumulative_quantity' (sum of the quantity of the different exposures considered in the analysis).
initialDailyDose: Whether to include 'initial_daily_dose_{unit}' (daily dose of the first considered prescription).
cumulativeDose: Whether to include 'cumulative_dose_{unit}' (sum of the cumulative dose of the analysed drug exposure records).
nameStyle: Character string to specify the nameStyle of the new columns.
name: Name of the new computed cohort table, if NULL a temporary table will be created.

Examples

Run this code

# \donttest{
library(DrugUtilisation)
library(CodelistGenerator)
library(dplyr, warn.conflicts = FALSE)

cdm <- mockDrugUtilisation()
codelist <- getDrugIngredientCodes(cdm = cdm, name = "acetaminophen")

cdm <- generateDrugUtilisationCohortSet(cdm = cdm,
                                        name = "dus_cohort",
                                        conceptSet = codelist)
cdm$dus_cohort |>
  addDrugUtilisation(ingredientConceptId = 1125315, gapEra = 30) |>
  glimpse()
# }

Run the code above in your browser using DataLab