Summarise code use in patient-level data

Usage

summariseCodeUse(
  x,
  cdm,
  countBy = c("record", "person"),
  byConcept = TRUE,
  byYear = FALSE,
  bySex = FALSE,
  ageGroup = NULL,
  minCellCount = lifecycle::deprecated()
)

Arguments

x: List of concept IDs
cdm: cdm_reference via CDMConnector::cdm_from_con()
countBy: Either "record" for record-level counts or "person" for person-level counts
byConcept: TRUE or FALSE. If TRUE code use will be summarised by
byYear: TRUE or FALSE. If TRUE code use will be summarised by year.
bySex: TRUE or FALSE. If TRUE code use will be summarised by sex.
ageGroup: If not NULL, a list of ageGroup vectors of length two.
minCellCount: \ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}}

Value

A tibble with results overall and, if specified, by strata

Examples

if (FALSE) {
con <- DBI::dbConnect(duckdb::duckdb(),
                      dbdir = CDMConnector::eunomia_dir())
cdm <- CDMConnector::cdm_from_con(con,
                                  cdm_schem = "main",
                                  write_schema = "main")
acetiminophen <- c(1125315,  1127433, 40229134,
40231925, 40162522, 19133768,  1127078)
poliovirus_vaccine <- c(40213160)
cs <- list(acetiminophen = acetiminophen,
          poliovirus_vaccine = poliovirus_vaccine)
results <- summariseCodeUse(cs,cdm = cdm)
results
CDMConnector::cdmDisconnect(cdm)
}