summariseIndication {DrugUtilisation}

This function is used to summarise the indication table over multiple cohorts.

Description

This function is used to summarise the indication table over multiple cohorts.

Usage

summariseIndication(
  cohort,
  cdm = lifecycle::deprecated(),
  strata = list(),
  minCellCount = lifecycle::deprecated()
)

Arguments

cohort

Cohort with indications and strata

cdm

cdm_reference created by CDMConnector

strata

Stratification list

minCellCount

Minimum counts that a group can have. Cohorts with less counts than this value are obscured.

Value

A Tibble with 4 columns: cohort_definition_id, variable, estimate and value. There will be one row for each cohort, variable and cohort combination.

Examples

library(DrugUtilisation)
library(PatientProfiles)
library(CodelistGenerator)

cdm <- mockDrugUtilisation()
indications <- list("headache" = 378253, "asthma" = 317009)
cdm <- generateConceptCohortSet(cdm, indications, "indication_cohorts")
acetaminophen <- getDrugIngredientCodes(cdm, "acetaminophen")
cdm <- generateDrugUtilisationCohortSet(cdm, "drug_cohort", acetaminophen)
cdm[["drug_cohort"]] <- cdm[["drug_cohort"]] %>%
  addIndication(
    indicationCohortName = "indication_cohorts",
    indicationGap = c(0, 30, 365)
  )

summariseIndication(cdm[["drug_cohort"]])

cdm[["drug_cohort"]] <- cdm[["drug_cohort"]] %>%
  addAge(ageGroup = list("<40" = c(0, 39), ">=40" = c(40, 150))) %>%
  addSex()

summariseIndication(
  cdm[["drug_cohort"]], strata = list(
    "age_group" = "age_group", "age_group and sex" = c("age_group", "sex")
  )
)