respiratory_01_population {nemsqar} | R Documentation |
Respiratory-01 Populations
Description
The respiratory_01_population
function filters and analyzes data related to
emergency 911 respiratory distress incidents, providing the adult, pediatric,
and initial populations. This function uses specific data columns for 911
response codes, primary and secondary impressions, and vital signs to filter
a dataset down to the populations of interest.
Usage
respiratory_01_population(
df = NULL,
patient_scene_table = NULL,
response_table = NULL,
situation_table = NULL,
vitals_table = NULL,
erecord_01_col,
incident_date_col = NULL,
patient_DOB_col = NULL,
epatient_15_col,
epatient_16_col,
eresponse_05_col,
esituation_11_col,
esituation_12_col,
evitals_12_col,
evitals_14_col
)
Arguments
df |
A data frame containing incident data with each row representing an observation. |
patient_scene_table |
A data.frame or tibble containing at least epatient and escene fields as a fact table. |
response_table |
A data.frame or tibble containing at least the eresponse fields needed for this measure's calculations. |
situation_table |
A data.frame or tibble containing at least the esituation fields needed for this measure's calculations. |
vitals_table |
A data.frame or tibble containing at least the evitals fields needed for this measure's calculations. |
erecord_01_col |
Unique Patient ID |
incident_date_col |
Column that contains the incident date. This
defaults to |
patient_DOB_col |
Column that contains the patient's date of birth. This
defaults to |
epatient_15_col |
Column giving the calculated age value. |
epatient_16_col |
Column giving the provided age unit value. |
eresponse_05_col |
Column name for 911 response codes (e.g., 2205001, 2205003, 2205009). |
esituation_11_col |
Column name for primary impression codes related to respiratory distress. |
esituation_12_col |
Column name for secondary impression codes related to respiratory distress. |
evitals_12_col |
Column name for the first vital sign measurement. |
evitals_14_col |
Column name for the second vital sign measurement. |
Value
A list that contains the following:
a tibble with counts for each filtering step,
a tibble for each population of interest
a tibble for the initial population
a tibble for the total dataset with computations
Author(s)
Nicolas Foss, Ed.D., MS
Examples
# create tables to test correct functioning
# patient table
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_11 = c(rep("J80", 3), rep("I50.9", 2)),
esituation_12 = c(rep("J80", 2), rep("I50.9", 3))
)
# vitals table
vitals_table <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
evitals_12 = c(60, 59, 58, 57, 56),
evitals_14 = c(16, 15, 14, 13, 12)
)
# Run the function
result <- respiratory_01_population(patient_scene_table = patient_table,
response_table = response_table,
situation_table = situation_table,
vitals_table = vitals_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,
evitals_12_col = evitals_12,
evitals_14_col = evitals_14
)
# show the results of filtering at each step
result$filter_process