stroke_01 {nemsqar} | R Documentation |
Stroke-01 Calculation
Description
The stroke_01
function processes EMS dataset to identify potential stroke
cases based on specific criteria and calculates the stroke scale measures. It
filters the data for 911 response calls, identifies stroke-related
impressions and scales, and aggregates results by unique patient encounters.
Usage
stroke_01(
df = NULL,
patient_scene_table = NULL,
response_table = NULL,
situation_table = NULL,
vitals_table = NULL,
erecord_01_col,
eresponse_05_col,
esituation_11_col,
esituation_12_col,
evitals_23_col,
evitals_26_col,
evitals_29_col,
evitals_30_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_11 = c(rep("I60", 3), rep("I61", 2)),
esituation_12 = c(rep("I63", 2), rep("I64", 3)),
evitals_23 = c(16, 15, 14, 13, 12),
evitals_26 = c("Alert", "Painful", "Verbal", "Unresponsive", "Alert"),
evitals_29 = rep("positive", 5),
evitals_30 = rep("a pain scale", 5)
)
# Run the function
# Return 95% confidence intervals using the Wilson method
stroke_01(
df = test_data,
erecord_01_col = erecord_01,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
evitals_23_col = evitals_23,
evitals_26_col = evitals_26,
evitals_29_col = evitals_29,
evitals_30_col = evitals_30,
confidence_interval = TRUE
)