Summarise proportion Of patients covered

Gives the proportion of patients still in observation who are in the cohort on any given day following their first cohort entry. This is known as the “proportion of patients covered” (PPC) method for assessing treatment persistence.

Usage

summariseProportionOfPatientsCovered(
  cohort,
  cohortId = NULL,
  strata = list(),
  followUpDays = NULL
)

Arguments

cohort

A cohort_table object.

cohortId

A cohort definition id to restrict by. If NULL, all cohorts will be included.

strata

A list of variables to stratify results. These variables must have been added as additional columns in the cohort table.

followUpDays

Number of days to follow up individuals for. If NULL the maximum amount of days from an individuals first cohort start date to their last cohort end date will be used

Value

A summarised result

Examples

# \donttest{
library(DrugUtilisation)

cdm <- mockDrugUtilisation(numberIndividuals = 100)

result <- cdm$cohort1 |>
  summariseProportionOfPatientsCovered(followUpDays = 365)
#> Getting PPC for cohort cohort_1
#> Collecting cohort into memory
#> Geting PPC over 365 days following first cohort entry
#>  -- getting PPC for ■■■■■■■■■■■■                     128 of 365 days
#>  -- getting PPC for ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■  365 of 365 days
#> Getting PPC for cohort cohort_2
#> Collecting cohort into memory
#> Geting PPC over 365 days following first cohort entry
#>  -- getting PPC for ■■■■■■■■■■■                      124 of 365 days
#>  -- getting PPC for ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■  365 of 365 days
#> Getting PPC for cohort cohort_3
#> Collecting cohort into memory
#> Geting PPC over 365 days following first cohort entry
#>  -- getting PPC for ■■■■■■■■■■■                      127 of 365 days
#>  -- getting PPC for ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■  365 of 365 days

tidy(result)
#> # A tibble: 1,098 × 11
#>    cdm_name cohort_name variable_name variable_level time  outcome_count
#>    <chr>    <chr>       <chr>         <chr>          <chr>         <int>
#>  1 DUS MOCK cohort_1    overall       overall        0                30
#>  2 DUS MOCK cohort_1    overall       overall        1                30
#>  3 DUS MOCK cohort_1    overall       overall        2                30
#>  4 DUS MOCK cohort_1    overall       overall        3                30
#>  5 DUS MOCK cohort_1    overall       overall        4                30
#>  6 DUS MOCK cohort_1    overall       overall        5                30
#>  7 DUS MOCK cohort_1    overall       overall        6                30
#>  8 DUS MOCK cohort_1    overall       overall        7                29
#>  9 DUS MOCK cohort_1    overall       overall        8                29
#> 10 DUS MOCK cohort_1    overall       overall        9                29
#> # ℹ 1,088 more rows
#> # ℹ 5 more variables: denominator_count <int>, ppc <dbl>, ppc_lower <dbl>,
#> #   ppc_upper <dbl>, cohort_table_name <chr>
# }