Nothing
# all NULL arguments to tables and df
# expect an error
testthat::test_that("airway_01_population correctly identifies data entry errors", {
testthat::expect_error(airway_01_population(
df = list(),
erecord_01_col = character(),
incident_date_col = date(),
patient_DOB_col = date(),
epatient_15_col = numeric(),
epatient_16_col = character(),
earrest_01_col = character(),
eresponse_05_col = character(),
evitals_01_col = date(),
evitals_06_col = numeric(),
evitals_12_col = numeric(),
eprocedures_01_col = date(),
eprocedures_02_col = character(),
eprocedures_03_col = character(),
eprocedures_05_col = character(),
eprocedures_06_col = character()
))
testthat::expect_error(airway_01_population(
df = tibble::tibble(),
patient_scene_table = tibble::tibble(),
arrest_table = tibble::tibble(),
response_table = tibble::tibble(),
vitals_table = tibble::tibble(),
procedures_table = tibble::tibble(),
erecord_01_col = character(),
incident_date_col = date(),
patient_DOB_col = date(),
epatient_15_col = numeric(),
epatient_16_col = character(),
earrest_01_col = character(),
eresponse_05_col = character(),
evitals_01_col = date(),
evitals_06_col = numeric(),
evitals_12_col = numeric(),
eprocedures_01_col = date(),
eprocedures_02_col = character(),
eprocedures_03_col = character(),
eprocedures_05_col = character(),
eprocedures_06_col = character()
))
testthat::expect_error(airway_01_population(
df = NULL,
patient_scene_table = list(),
arrest_table = tibble::tibble(),
response_table = tibble::tibble(),
vitals_table = tibble::tibble(),
procedures_table = tibble::tibble(),
erecord_01_col = character(),
incident_date_col = date(),
patient_DOB_col = date(),
epatient_15_col = numeric(),
epatient_16_col = character(),
earrest_01_col = character(),
eresponse_05_col = character(),
evitals_01_col = date(),
evitals_06_col = numeric(),
evitals_12_col = numeric(),
eprocedures_01_col = date(),
eprocedures_02_col = character(),
eprocedures_03_col = character(),
eprocedures_05_col = character(),
eprocedures_06_col = character()
))
testthat::expect_error(airway_01_population(
erecord_01_col = character(),
incident_date_col = date(),
patient_DOB_col = date(),
epatient_15_col = numeric(),
epatient_16_col = character(),
earrest_01_col = character(),
eresponse_05_col = character(),
evitals_01_col = date(),
evitals_06_col = numeric(),
evitals_12_col = numeric(),
eprocedures_01_col = date(),
eprocedures_02_col = character(),
eprocedures_03_col = character(),
eprocedures_05_col = character(),
eprocedures_06_col = character()
))
testthat::expect_error(airway_01_population(
df = NULL,
patient_scene_table = tibble::tibble(),
arrest_table = tibble::tibble(),
response_table = tibble::tibble(),
vitals_table = tibble::tibble(),
procedures_table = tibble::tibble(),
erecord_01_col = character(),
incident_date_col = character(),
patient_DOB_col = character(),
epatient_15_col = numeric(),
epatient_16_col = character(),
earrest_01_col = character(),
eresponse_05_col = character(),
evitals_01_col = date(),
evitals_06_col = numeric(),
evitals_12_col = numeric(),
eprocedures_01_col = date(),
eprocedures_02_col = character(),
eprocedures_03_col = character(),
eprocedures_05_col = character(),
eprocedures_06_col = character()
))
testthat::expect_error(airway_01_population(
df = NULL,
patient_scene_table = tibble::tibble(),
arrest_table = tibble::tibble(),
response_table = tibble::tibble(),
vitals_table = tibble::tibble(),
procedures_table = tibble::tibble(),
erecord_01_col = character(),
incident_date_col = date(),
patient_DOB_col = date(),
epatient_15_col = numeric(),
epatient_16_col = character(),
earrest_01_col = character(),
eresponse_05_col = character(),
evitals_01_col = character(),
evitals_06_col = numeric(),
evitals_12_col = numeric(),
eprocedures_01_col = character(),
eprocedures_02_col = character(),
eprocedures_03_col = character(),
eprocedures_05_col = character(),
eprocedures_06_col = character()
))
})
# Function should correctly classify airway cases
testthat::test_that("airway_01_population correctly identifies intubation cases", {
# Sample synthetic test data
data("nemsqar_patient_scene_table", package = "nemsqar")
data("nemsqar_arrest_table", package = "nemsqar")
data("nemsqar_response_table", package = "nemsqar")
data("nemsqar_vitals_table", package = "nemsqar")
data("nemsqar_procedures_table", package = "nemsqar")
testthat::expect_error(airway_01_population(patient_scene_table = nemsqar_patient_scene_table), "arguments is missing")
result <- airway_01_population(
patient_scene_table = nemsqar_patient_scene_table,
arrest_table = nemsqar_arrest_table,
response_table = nemsqar_response_table,
vitals_table = nemsqar_vitals_table,
procedures_table = nemsqar_procedures_table,
erecord_01_col = `Incident Patient Care Report Number - PCR (eRecord.01)`,
incident_date_col = `Incident Date`,
patient_DOB_col = `Patient Date Of Birth (ePatient.17)`,
epatient_15_col = `Patient Age (ePatient.15)`,
epatient_16_col = `Patient Age Units (ePatient.16)`,
earrest_01_col = `Cardiac Arrest During EMS Event With Code (eArrest.01)`,
eresponse_05_col = `Response Type Of Service Requested With Code (eResponse.05)`,
evitals_01_col = `Vitals Signs Taken Date Time (eVitals.01)`,
evitals_06_col = `Vitals Systolic Blood Pressure SBP (eVitals.06)`,
evitals_12_col = `Vitals Pulse Oximetry (eVitals.12)`,
eprocedures_01_col = `Procedure Performed Date Time (eProcedures.01)`,
eprocedures_02_col = `Procedure Performed Prior To EMS Care (eProcedures.02)`,
eprocedures_03_col = `Procedure Performed Description And Code (eProcedures.03)`,
eprocedures_05_col = `Procedure Number Of Attempts (eProcedures.05)`,
eprocedures_06_col = `Procedure Successful (eProcedures.06)`
)
testthat::expect_type(result, "list")
testthat::expect_true(all(c("peds", "initial_population", "adults", "filter_process") %in% names(result)))
testthat::expect_equal(nrow(result$filter_process), 19) # Two cases should be TRUE
})
# Function should handle missing values without errors
testthat::test_that("airway_01_population handles missing values gracefully", {
# Sample synthetic test data
data("nemsqar_patient_scene_table", package = "nemsqar")
data("nemsqar_arrest_table", package = "nemsqar")
data("nemsqar_response_table", package = "nemsqar")
data("nemsqar_vitals_table", package = "nemsqar")
data("nemsqar_procedures_table", package = "nemsqar")
missing_data <- nemsqar_procedures_table
missing_data$`Procedure Performed Description And Code (eProcedures.03)` <- NA # Set all to NA
expect_warning(airway_01_population(patient_scene_table = nemsqar_patient_scene_table,
arrest_table = nemsqar_arrest_table,
response_table = nemsqar_response_table,
vitals_table = nemsqar_vitals_table,
procedures_table = missing_data,
erecord_01_col = `Incident Patient Care Report Number - PCR (eRecord.01)`,
incident_date_col = `Incident Date`,
patient_DOB_col = `Patient Date Of Birth (ePatient.17)`,
epatient_15_col = `Patient Age (ePatient.15)`,
epatient_16_col = `Patient Age Units (ePatient.16)`,
earrest_01_col = `Cardiac Arrest During EMS Event With Code (eArrest.01)`,
eresponse_05_col = `Response Type Of Service Requested With Code (eResponse.05)`,
evitals_01_col = `Vitals Signs Taken Date Time (eVitals.01)`,
evitals_06_col = `Vitals Systolic Blood Pressure SBP (eVitals.06)`,
evitals_12_col = `Vitals Pulse Oximetry (eVitals.12)`,
eprocedures_01_col = `Procedure Performed Date Time (eProcedures.01)`,
eprocedures_02_col = `Procedure Performed Prior To EMS Care (eProcedures.02)`,
eprocedures_03_col = `Procedure Performed Description And Code (eProcedures.03)`,
eprocedures_05_col = `Procedure Number Of Attempts (eProcedures.05)`,
eprocedures_06_col = `Procedure Successful (eProcedures.06)`
))
})
# Function should return expected types and structure
testthat::test_that("airway_01_population returns expected structure", {
# Sample synthetic test data
data("nemsqar_patient_scene_table", package = "nemsqar")
data("nemsqar_arrest_table", package = "nemsqar")
data("nemsqar_response_table", package = "nemsqar")
data("nemsqar_vitals_table", package = "nemsqar")
data("nemsqar_procedures_table", package = "nemsqar")
result <- airway_01_population(patient_scene_table = nemsqar_patient_scene_table,
arrest_table = nemsqar_arrest_table,
response_table = nemsqar_response_table,
vitals_table = nemsqar_vitals_table,
procedures_table = nemsqar_procedures_table,
erecord_01_col = `Incident Patient Care Report Number - PCR (eRecord.01)`,
incident_date_col = `Incident Date`,
patient_DOB_col = `Patient Date Of Birth (ePatient.17)`,
epatient_15_col = `Patient Age (ePatient.15)`,
epatient_16_col = `Patient Age Units (ePatient.16)`,
earrest_01_col = `Cardiac Arrest During EMS Event With Code (eArrest.01)`,
eresponse_05_col = `Response Type Of Service Requested With Code (eResponse.05)`,
evitals_01_col = `Vitals Signs Taken Date Time (eVitals.01)`,
evitals_06_col = `Vitals Systolic Blood Pressure SBP (eVitals.06)`,
evitals_12_col = `Vitals Pulse Oximetry (eVitals.12)`,
eprocedures_01_col = `Procedure Performed Date Time (eProcedures.01)`,
eprocedures_02_col = `Procedure Performed Prior To EMS Care (eProcedures.02)`,
eprocedures_03_col = `Procedure Performed Description And Code (eProcedures.03)`,
eprocedures_05_col = `Procedure Number Of Attempts (eProcedures.05)`,
eprocedures_06_col = `Procedure Successful (eProcedures.06)`
)
testthat::expect_true(!is.logical(result$initial_population))
testthat::expect_true(!is.logical(result$adults))
testthat::expect_true(!is.logical(result$peds))
testthat::expect_true(!is.logical(result$filter_process))
testthat::expect_equal(result$filter_process |>
dplyr::filter(filter == "Total procedures in dataset") |>
dplyr::pull(count),
nrow(nemsqar_patient_scene_table)
)
result2 <- airway_01_population(patient_scene_table = nemsqar_patient_scene_table,
arrest_table = nemsqar_arrest_table,
response_table = nemsqar_response_table,
vitals_table = nemsqar_vitals_table,
procedures_table = nemsqar_procedures_table,
erecord_01_col = `Incident Patient Care Report Number - PCR (eRecord.01)`,
incident_date_col = NULL,
patient_DOB_col = NULL,
epatient_15_col = `Patient Age (ePatient.15)`,
epatient_16_col = `Patient Age Units (ePatient.16)`,
earrest_01_col = `Cardiac Arrest During EMS Event With Code (eArrest.01)`,
eresponse_05_col = `Response Type Of Service Requested With Code (eResponse.05)`,
evitals_01_col = `Vitals Signs Taken Date Time (eVitals.01)`,
evitals_06_col = `Vitals Systolic Blood Pressure SBP (eVitals.06)`,
evitals_12_col = `Vitals Pulse Oximetry (eVitals.12)`,
eprocedures_01_col = `Procedure Performed Date Time (eProcedures.01)`,
eprocedures_02_col = `Procedure Performed Prior To EMS Care (eProcedures.02)`,
eprocedures_03_col = `Procedure Performed Description And Code (eProcedures.03)`,
eprocedures_05_col = `Procedure Number Of Attempts (eProcedures.05)`,
eprocedures_06_col = `Procedure Successful (eProcedures.06)`
)
testthat::expect_true(!is.logical(result2$initial_population))
testthat::expect_true(!is.logical(result2$adults))
testthat::expect_true(!is.logical(result2$peds))
testthat::expect_true(!is.logical(result2$filter_process))
testthat::expect_equal(result2$filter_process |>
dplyr::filter(filter == "Total procedures in dataset") |>
dplyr::pull(count),
nrow(nemsqar_patient_scene_table)
)
})
# Function should correctly handle unexpected procedure codes
testthat::test_that("airway_01_population filters unexpected codes", {
# Sample synthetic test data
data("nemsqar_patient_scene_table", package = "nemsqar")
data("nemsqar_arrest_table", package = "nemsqar")
data("nemsqar_response_table", package = "nemsqar")
data("nemsqar_vitals_table", package = "nemsqar")
data("nemsqar_procedures_table", package = "nemsqar")
unexpected_data <- nemsqar_vitals_table
unexpected_data$`Vitals Signs Taken Date Time (eVitals.01)` <- 9999 # Invalid values
testthat::expect_error(airway_01_population(patient_scene_table = nemsqar_patient_scene_table,
arrest_table = nemsqar_arrest_table,
response_table = nemsqar_response_table,
vitals_table = unexpected_data,
procedures_table = nemsqar_procedures_table,
erecord_01_col = `Incident Patient Care Report Number - PCR (eRecord.01)`,
incident_date_col = `Incident Date`,
patient_DOB_col = `Patient Date Of Birth (ePatient.17)`,
epatient_15_col = `Patient Age (ePatient.15)`,
epatient_16_col = `Patient Age Units (ePatient.16)`,
earrest_01_col = `Cardiac Arrest During EMS Event With Code (eArrest.01)`,
eresponse_05_col = `Response Type Of Service Requested With Code (eResponse.05)`,
evitals_01_col = `Vitals Signs Taken Date Time (eVitals.01)`,
evitals_06_col = `Vitals Systolic Blood Pressure SBP (eVitals.06)`,
evitals_12_col = `Vitals Pulse Oximetry (eVitals.12)`,
eprocedures_01_col = `Procedure Performed Date Time (eProcedures.01)`,
eprocedures_02_col = `Procedure Performed Prior To EMS Care (eProcedures.02)`,
eprocedures_03_col = `Procedure Performed Description And Code (eProcedures.03)`,
eprocedures_05_col = `Procedure Number Of Attempts (eProcedures.05)`,
eprocedures_06_col = `Procedure Successful (eProcedures.06)`
)
)
})
# Function should handle empty data without error
testthat::test_that("airway_01_population handles empty input", {
valid_data <- tibble::tibble()
empty_data <- valid_data[0, ] # No rows
testthat::expect_error(airway_01_population(empty_data), "arguments is missing")
})
# Function should handle non-numeric vitals
testthat::test_that("airway_01_population handles non-numeric vital signs gracefully", {
# Sample synthetic test data
data("nemsqar_patient_scene_table", package = "nemsqar")
data("nemsqar_arrest_table", package = "nemsqar")
data("nemsqar_response_table", package = "nemsqar")
data("nemsqar_vitals_table", package = "nemsqar")
data("nemsqar_procedures_table", package = "nemsqar")
non_numeric_data1 <- nemsqar_vitals_table
non_numeric_data2 <- nemsqar_patient_scene_table
non_numeric_data1$`Vitals Signs Taken Date Time (eVitals.01)` <- "high"
non_numeric_data2$`Incident Date` <- "low"
testthat::expect_error(airway_01_population(patient_scene_table = non_numeric_data2,
arrest_table = nemsqar_arrest_table,
response_table = nemsqar_response_table,
vitals_table = non_numeric_data1,
procedures_table = nemsqar_procedures_table,
erecord_01_col = `Incident Patient Care Report Number - PCR (eRecord.01)`,
incident_date_col = `Incident Date`,
patient_DOB_col = `Patient Date Of Birth (ePatient.17)`,
epatient_15_col = `Patient Age (ePatient.15)`,
epatient_16_col = `Patient Age Units (ePatient.16)`,
earrest_01_col = `Cardiac Arrest During EMS Event With Code (eArrest.01)`,
eresponse_05_col = `Response Type Of Service Requested With Code (eResponse.05)`,
evitals_01_col = `Vitals Signs Taken Date Time (eVitals.01)`,
evitals_06_col = `Vitals Systolic Blood Pressure SBP (eVitals.06)`,
evitals_12_col = `Vitals Pulse Oximetry (eVitals.12)`,
eprocedures_01_col = `Procedure Performed Date Time (eProcedures.01)`,
eprocedures_02_col = `Procedure Performed Prior To EMS Care (eProcedures.02)`,
eprocedures_03_col = `Procedure Performed Description And Code (eProcedures.03)`,
eprocedures_05_col = `Procedure Number Of Attempts (eProcedures.05)`,
eprocedures_06_col = `Procedure Successful (eProcedures.06)`
))
})
# Function should handle a dataframe as expected
testthat::test_that("airway_01_population handles a dataframe input", {
# data
data <- tibble::tibble(
erecord_01 = rep(c("R1", "R2", "R3", "R4", "R5"), 2),
incident_date = rep(as.Date(c("2025-01-01", "2025-01-05", "2025-02-01",
"2025-01-01", "2025-06-01")), 2),
patient_dob = rep(as.Date(c("2000-01-01", "2020-01-01", "2023-02-01",
"2023-01-01", "1970-06-01")), 2),
epatient_15 = rep(c(25, 5, 2, 2, 55), 2), # Ages
epatient_16 = rep(c("Years", "Years", "Years", "Years", "Years"), 2),
eresponse_05 = rep(2205001, 10),
evitals_01 = lubridate::as_datetime(c("2025-01-01 22:59:00",
"2025-01-05 11:58:00", "2025-02-01 18:57:00", "2025-01-01 04:58:00",
"2025-06-01 12:57:00", "2025-01-01 23:05:00", "2025-01-05 12:04:00",
"2025-02-01 19:03:00", "2025-01-01 05:02:00", "2025-06-01 13:01:00")),
evitals_06 = rep(c(90, 100, 102, 103, 104), 2),
evitals_12 = rep(c(90, 91, 92, 93, 94), 2),
earrest_01 = rep("No", 10),
eprocedures_01 = rep(lubridate::as_datetime(c("2025-01-01 23:00:00",
"2025-01-05 12:00:00", "2025-02-01 19:00:00", "2025-01-01 05:00:00",
"2025-06-01 13:00:00")), 2),
eprocedures_02 = rep("No", 10),
eprocedures_03 = rep(c(16883004, 112798008, 78121007, 49077009,
673005), 2),
eprocedures_05 = rep(1, 10),
eprocedures_06 = rep(9923003, 10),
)
# Run the function
result <- airway_01_population(df = data,
erecord_01_col = erecord_01,
incident_date_col = incident_date,
patient_DOB_col = patient_dob,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
eprocedures_01_col = eprocedures_01,
eprocedures_02_col = eprocedures_02,
eprocedures_03_col = eprocedures_03,
eprocedures_05_col = eprocedures_05,
eprocedures_06_col = eprocedures_06,
earrest_01_col = earrest_01,
evitals_01_col = evitals_01,
evitals_06_col = evitals_06,
evitals_12_col = evitals_12
)
testthat::expect_true(!is.logical(result$initial_population))
testthat::expect_true(!is.logical(result$adults))
testthat::expect_true(!is.logical(result$peds))
testthat::expect_true(!is.logical(result$filter_process))
testthat::expect_equal(result$filter_process |>
dplyr::filter(filter == "Total procedures in dataset") |>
dplyr::pull(count),
nrow(data) / 2
)
})
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