testthat::test_that("hypoglycemia_01 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_11 = c(rep("E13.64", 3), rep("E16.2", 2)), esituation_12 = c(rep("E13.64", 2), rep("E16.2", 3)), emedications_03 = c(372326, 376937, 377980, 4850, 4832), evitals_18 = c(60, 59, 58, 57, 56), evitals_23 = c(16, 15, 14, 13, 12), evitals_26 = c("Alert", "Painful", "Verbal", "Unresponsive", "Alert"), eprocedures_03 = rep("710925007", 5) ) # Run function result <- hypoglycemia_01( df = test_data, erecord_01_col = erecord_01, epatient_15_col = epatient_15, epatient_16_col = epatient_16, eresponse_05_col = eresponse_05, esituation_11_col = esituation_11, esituation_12_col = esituation_12, emedications_03_col = emedications_03, evitals_18_col = evitals_18, evitals_23_col = evitals_23, evitals_26_col = evitals_26, eprocedures_03_col = eprocedures_03 ) # 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$numerator), 8) testthat::expect_equal(sum(result$denominator), 8) testthat::expect_equal(result$prop[result$pop == "All"], 1) testthat::expect_equal(nrow(result), 3) # 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 <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), eresponse_05 = rep(2205001, 5) ) situation_table <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), esituation_11 = c(rep("E13.64", 3), rep("E16.2", 2)), esituation_12 = c(rep("E13.64", 2), rep("E16.2", 3)) ) medications_table <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), emedications_03 = c(372326, 376937, 377980, 4850, 4832), ) vitals_table <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), evitals_18 = c(60, 59, 58, 57, 56), evitals_23 = c(16, 15, 14, 13, 12), evitals_26 = c("Alert", "Painful", "Verbal", "Unresponsive", "Alert") ) procedures_table <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), eprocedures_03 = rep("710925007", 5) ) # test the success of the function result_2 <- hypoglycemia_01(patient_scene_table = patient_table, response_table = response_table, situation_table = situation_table, medications_table = medications_table, vitals_table = vitals_table, procedures_table = procedures_table, 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, esituation_11_col = esituation_11, esituation_12_col = esituation_12, emedications_03_col = emedications_03, evitals_18_col = evitals_18, evitals_23_col = evitals_23, evitals_26_col = evitals_26, eprocedures_03_col = eprocedures_03 ) # Check calculations testthat::expect_equal(sum(result_2$numerator), 8) testthat::expect_equal(sum(result_2$denominator), 8) testthat::expect_equal(result_2$prop[result_2$pop == "All"], 1) testthat::expect_equal(nrow(result_2), 3) }) testthat::test_that("hypoglycemia_01 handles missing data correctly", { # Synthetic test data missing_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_11 = c(rep("E13.64", 3), rep(NA_character_, 2)), esituation_12 = c(rep("E13.64", 2), rep(NA_character_, 3)), emedications_03 = c(372326, 376937, 377980, 4850, 4832), evitals_18 = c(60, 59, 58, 57, NA), evitals_23 = c(16, 15, 14, 13, NA), evitals_26 = c("Alert", "Painful", NA, "Unresponsive", "Alert"), eprocedures_03 = rep(NA_character_, 5) ) result <- hypoglycemia_01( df = missing_data, erecord_01_col = erecord_01, epatient_15_col = epatient_15, epatient_16_col = epatient_16, eresponse_05_col = eresponse_05, esituation_11_col = esituation_11, esituation_12_col = esituation_12, emedications_03_col = emedications_03, evitals_18_col = evitals_18, evitals_23_col = evitals_23, evitals_26_col = evitals_26, eprocedures_03_col = eprocedures_03 ) testthat::expect_true(nrow(result) > 0) testthat::expect_true(all(!is.na(result$denominator))) }) testthat::test_that("hypoglycemia_01 returns empty result for non-matching criteria", { # Synthetic test data non_matching_data <- tibble::tibble( erecord_01 = c("R1", "R2"), epatient_15 = c(30, 50), epatient_16 = c("Years", "Years"), eresponse_05 = c("Non-911 Call", "Non-911 Call"), esituation_11 = c("Non-Respiratory", "Non-Respiratory"), esituation_12 = c("Not Asthma", "Not Asthma"), emedications_03 = c("None", "None"), evitals_18 = c(60, 59), evitals_23 = c(16, 15), evitals_26 = c("Alert", "Painful"), eprocedures_03 = rep("710925007", 2) ) result <- hypoglycemia_01( df = non_matching_data, erecord_01_col = erecord_01, epatient_15_col = epatient_15, epatient_16_col = epatient_16, eresponse_05_col = eresponse_05, esituation_11_col = esituation_11, esituation_12_col = esituation_12, emedications_03_col = emedications_03, evitals_18_col = evitals_18, evitals_23_col = evitals_23, evitals_26_col = evitals_26, eprocedures_03_col = eprocedures_03 ) testthat::expect_equal(sum(result$denominator), 0) })