uc_conditions: List of Urgent care sensitive conditions

Description Usage Format See Also Examples

Description

Provides lookup tables for use with Urgent care sensitive analyses.

Usage

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Format

data frame with 14 rows and 7 fields

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Observations: 14
Variables: 7
$ condition_description <chr> "COPD", "Acute mental health crisis", "Non-specific chest pain", "Falls", "Non-specific abdomin...
$ primary_diagnosis     <chr> "J40; J41; J42; J43; J44", "F", "R072; R073; R074", "W0; W1-W19", "R10", "I80; I81; I82", "L03"...
$ age                   <chr> "All ages", "All ages", "All ages", "75+ yrs", "All ages", "All ages", "All ages", "0 - 5 yrs",...
$ primary_regex         <chr> "J4[0-4]", "F", "R07[2-4]", "W[01][0-9]", "R10", "I8[0-2]", "L03", "R50", "T830", "E1[0-5];E16[...
$ cat1                  <chr> "All", "All", "All", "All", "All", "All", "All", "All", "All", "All", "All", "All", "All", "All"
$ cat2                  <chr> "All", "All", "All", "All", "All", "All", "All", "All", "All", "All", "All", "All", "All", "All"
$ condition_uid         <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14

See Also

Other urgent care sensitive datasets: lu_ucc_icd10, uc_attribution, uc_versions, ucs_datasets

Examples

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if (isNamespaceLoaded("dplyr")) {
  require("dplyr")

  aafractions.ncc::uc_conditions %>%
    mutate_if(is.character, as.factor) %>%
    select(-starts_with("condition_"), -starts_with("primary")) %>%
    summary(16)
}

ianbatesncc/aafractions.ncc documentation built on May 3, 2019, 3:34 p.m.