trauma_01 {nemsqar} | R Documentation |
Trauma-01 Calculation
Description
This function processes EMS data to calculate the Trauma-01 performance measure, which evaluates the percentage of trauma patients assessed for pain using a numeric scale. The function filters and summarizes the data based on specified inclusion criteria.
Usage
trauma_01(
df = NULL,
patient_scene_table = NULL,
response_table = NULL,
situation_table = NULL,
disposition_table = NULL,
vitals_table = NULL,
erecord_01_col,
incident_date_col = NULL,
patient_DOB_col = NULL,
epatient_15_col,
epatient_16_col,
esituation_02_col,
eresponse_05_col,
evitals_23_col,
evitals_26_col,
evitals_27_col,
edisposition_28_col,
transport_disposition_col,
confidence_interval = FALSE,
method = c("wilson", "clopper-pearson"),
conf.level = 0.95,
correct = TRUE,
...
)
Arguments
Value
A data.frame summarizing results for two population groups (All, Adults and Peds) with the following columns:
-
pop
: Population type (All, Adults, and Peds). -
numerator
: Count of incidents meeting the measure. -
denominator
: Total count of included incidents. -
prop
: Proportion of incidents meeting the measure. -
prop_label
: Proportion formatted as a percentage with a specified number of decimal places. -
lower_ci
: Lower bound of the confidence interval forprop
(ifconfidence_interval = TRUE
). -
upper_ci
: Upper bound of the confidence interval forprop
(ifconfidence_interval = TRUE
).
Author(s)
Nicolas Foss, Ed.D., MS
Examples
# 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_23 = rep(15, 5),
evitals_26 = rep("Alert", 5),
evitals_27 = c(0, 2, 4, 6, 8),
edisposition_28 = rep(4228001, 5),
edisposition_30 = c(4230001, 4230003, 4230001, 4230007, 4230007)
)
# Run the function
# Return 95% confidence intervals using the Wilson method
trauma_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_02_col = esituation_02,
evitals_23_col = evitals_23,
evitals_26_col = evitals_26,
evitals_27_col = evitals_27,
edisposition_28_col = edisposition_28,
transport_disposition_col = edisposition_30,
confidence_interval = TRUE
)