Explore services that cross chosen thresholds — explore

Shows which services cross the thresholds you choose: a median monthly denominator count below median_threshold, or any single ratio at or above ratio_threshold in at least one reporting period (ratios above 1 are ignored). Returns these services with their summary statistics so you can look at them more closely and make an informed decision about what to do with them — for example keep them, investigate them further, or exclude them with a dplyr::filter() call in your own code (see Examples).

Usage

explore_services(measures, median_threshold = 20, ratio_threshold = 0.99)

Arguments

measures: Tibble, as returned by create_measures()
median_threshold: Numeric, services with a median monthly denominator below this are grouped as "low_denominator". Default 20
ratio_threshold: Numeric, services with any ratio at or above this in at least one period are grouped as "high_ratio". Default 0.99

Value

Tibble of services crossing a threshold: group ("low_denominator", "high_ratio", or "both"), followed by the columns from summarise_measures()

Examples

if (FALSE) { # \dontrun{
df_explored <- df_measures |>
  explore_services(median_threshold = 20, ratio_threshold = 0.99)

# after reviewing df_explored, exclude these services and treat
# ratios above 1 as missing
df_clean <- df_measures |>
  dplyr::filter(!org_code2 %in% df_explored$org_code2) |>
  dplyr::mutate(ratio = dplyr::if_else(ratio > 1, NA_real_, ratio))
} # }