tests/testthat/test-trauma_08.R

In nemsqar: National Emergency Medical Service Quality Alliance Measure Calculations

testthat::test_that("trauma_08 produces expected results", {

  # Synthetic test data
  test_data <- tibble::tibble(
    erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
    epatient_15 = c(34, 5, 45, 2, 60),  # Ages
    epatient_16 = c("Years", "Years", "Years", "Months", "Years"),
    eresponse_05 = rep(2205001, 5),
    esituation_02 = rep("Yes", 5),
    evitals_06 = c(100, 90, 80, 70, 85),
    evitals_14 = c(30, 9, 8, 7, 31),
    evitals_23 = c(6, 7, 8, 8, 7),
    edisposition_30 = c(4230001, 4230003, 4230001, 4230007, 4230007)
  )

  # Run function with the first and last pain score columns
  result <- suppressWarnings(trauma_08(
    df = test_data,
    erecord_01_col = erecord_01,
    epatient_15_col = epatient_15,
    epatient_16_col = epatient_16,
    eresponse_05_col = eresponse_05,
    esituation_02_col = esituation_02,
    evitals_06_col = evitals_06,
    evitals_14_col = evitals_14,
    evitals_23_col = evitals_23,
    transport_disposition_col = edisposition_30,
    confidence_interval = TRUE
  ))

  # Check structure
  testthat::expect_s3_class(result, "data.frame")
  testthat::expect_true(all(c("measure", "pop", "numerator", "denominator", "prop", "prop_label", "lower_ci", "upper_ci") %in% names(result)))

  # should throw a warning due to small counts
  testthat::expect_warning(trauma_08(
    df = test_data,
    erecord_01_col = erecord_01,
    epatient_15_col = epatient_15,
    epatient_16_col = epatient_16,
    eresponse_05_col = eresponse_05,
    esituation_02_col = esituation_02,
    evitals_06_col = evitals_06,
    evitals_14_col = evitals_14,
    evitals_23_col = evitals_23,
    transport_disposition_col = edisposition_30,
    confidence_interval = TRUE
  ))

  # Run function with the first and last pain score columns
  result <- trauma_08(
    df = test_data,
    erecord_01_col = erecord_01,
    epatient_15_col = epatient_15,
    epatient_16_col = epatient_16,
    eresponse_05_col = eresponse_05,
    esituation_02_col = esituation_02,
    evitals_06_col = evitals_06,
    evitals_14_col = evitals_14,
    evitals_23_col = evitals_23,
    transport_disposition_col = edisposition_30
  )

  # Check structure
  testthat::expect_s3_class(result, "data.frame")
  testthat::expect_true(all(c("measure", "pop", "numerator", "denominator", "prop", "prop_label") %in% names(result)))

  # Check calculations
  testthat::expect_equal(sum(result$numerator), 5)
  testthat::expect_equal(sum(result$denominator), 5)
  testthat::expect_equal(result$prop[result$pop == "Adults"], 1)
  testthat::expect_equal(nrow(result), 2)

  # create tables to test correct functioning
  patient_table <- tibble::tibble(

    erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
    incident_date = as.Date(c("2025-01-01", "2025-01-05", "2025-02-01", "2025-01-01", "2025-06-01")),
    patient_dob = as.Date(c("2000-01-01", "2020-01-01", "2023-02-01", "2023-01-01", "1970-06-01")),
    epatient_15 = c(25, 5, 2, 2, 55),  # Ages
    epatient_16 = c("Years", "Years", "Years", "Years", "Years")

  )

  # response table
  response_table <- tibble::tibble(

    erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
    eresponse_05 = rep(2205001, 5)
  )

  # situation table
  situation_table <- tibble::tibble(

    erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
    esituation_02 = rep("Yes", 5)
  )

  # vitals table
  vitals_table <- tibble::tibble(

    erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
    evitals_06 = c(100, 90, 80, 70, 85),
    evitals_14 = c(30, 9, 8, 7, 31),
    evitals_23 = c(6, 7, 8, 8, 7),
  )

  # disposition table
  disposition_table <- tibble::tibble(
    erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
    edisposition_30 = c(4230001, 4230003, 4230001, 4230007, 4230007)
  )

  # test the success of the function
  result <- trauma_08(patient_scene_table = patient_table,
                      response_table = response_table,
                      situation_table = situation_table,
                      vitals_table = vitals_table,
                      disposition_table = disposition_table,
                      erecord_01_col = erecord_01,
                      epatient_15_col = epatient_15,
                      epatient_16_col = epatient_16,
                      eresponse_05_col = eresponse_05,
                      esituation_02_col = esituation_02,
                      evitals_06_col = evitals_06,
                      evitals_14_col = evitals_14,
                      evitals_23_col = evitals_23,
                      transport_disposition_col = edisposition_30
                      )

  # Check calculations
  testthat::expect_equal(sum(result$numerator), 5)
  testthat::expect_equal(sum(result$denominator),5)
  testthat::expect_equal(result$prop[result$pop == "Adults"], 1)
  testthat::expect_equal(nrow(result), 2)

})

testthat::test_that("trauma_08 handles missing data correctly", {

  # Synthetic test data
  test_data <- tibble::tibble(
    erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
    epatient_15 = c(34, 5, 45, 2, 60),  # Ages
    epatient_16 = c("Years", "Years", "Years", "Months", "Years"),
    eresponse_05 = rep(2205001, 5),
    esituation_02 = rep("Yes", 5),
    evitals_06 = c(100, 90, 80, 70, 85),
    evitals_14 = c(30, 9, 8, 7, 31),
    evitals_23 = c(6, 7, 8, 8, 7),
    edisposition_30 = c(4230001, 4230003, 4230001, 4230007, 4230007)
  )

  # run the function with first and last
  # pain scale columns
  result <- trauma_08(
    df = test_data,
    erecord_01_col = erecord_01,
    epatient_15_col = epatient_15,
    epatient_16_col = epatient_16,
    eresponse_05_col = eresponse_05,
    esituation_02_col = esituation_02,
    evitals_06_col = evitals_06,
    evitals_14_col = evitals_14,
    evitals_23_col = evitals_23,
    transport_disposition_col = edisposition_30
  )

  testthat::expect_true(nrow(result) > 0)
  testthat::expect_true(all(!is.na(result$denominator)))

})

testthat::test_that("trauma_08 returns empty result for non-matching criteria", {

  # Synthetic test data
  test_data <- tibble::tibble(
    erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
    epatient_15 = c(34, 5, 45, 2, 60),  # Ages
    epatient_16 = c("Years", "Years", "Years", "Months", "Years"),
    eresponse_05 = rep(2205001, 5),
    esituation_02 = rep("No", 5),
    evitals_06 = c(100, 90, 80, 70, 85),
    evitals_14 = c(30, 9, 8, 7, 31),
    evitals_23 = c(6, 7, 8, 8, 7),
    edisposition_30 = c(4230001, 4230003, 4230001, 4230007, 4230007)
  )

  # run the function with the
  # initial and last pain scale
  # columns
  result <- trauma_08(
    df = test_data,
    erecord_01_col = erecord_01,
    epatient_15_col = epatient_15,
    epatient_16_col = epatient_16,
    eresponse_05_col = eresponse_05,
    esituation_02_col = esituation_02,
    evitals_06_col = evitals_06,
    evitals_14_col = evitals_14,
    evitals_23_col = evitals_23,
    transport_disposition_col = edisposition_30
  )

  testthat::expect_equal(sum(result$denominator), 0)

})