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Service Line Grouper Augment Function

Source: R/augment-service-line.R
service_line_augment.Rd

Takes a few arguments from a data.frame/tibble and returns a service line augmented to a data.frame/tibble for a set of patients.

Usage

service_line_augment(.data, .dx_col, .px_col, .drg_col)

Arguments

.data

The data being passed that will be augmented by the function.

.dx_col

The column containing the Principal Diagnosis for the discharge.

.px_col

The column containing the Principal Coded Procedure for the discharge. It is possible that this could be blank.

.drg_col

The DRG Number coded to the inpatient discharge.

Value

An augmented data.frame/tibble with the service line appended as a new column.

Details

This is an augment function in that appends a vector to an data.frame/tibble that is passed to the .data parameter. A data.frame/tibble is required, along with a principal diagnosis column, a principal procedure column, and a column for the DRG number. These are needed so that the function can join the dx_cc_mapping and px_cc_mapping columns to provide the service line. This function only works on visits that are coded using ICD Version 10 only.

Lets take an example discharge, the DRG is 896 and the Principal Diagnosis code maps to DX_660, then this visit would get grouped to alcohol_abuse

DRG 896: ALCOHOL, DRUG ABUSE OR DEPENDENCE WITHOUT REHABILITATION THERAPY WITH MAJOR COMPLICATION OR COMORBIDITY (MCC)

DX_660 Maps to the following ICD-10 Codes ie F1010 Alcohol abuse, uncomplicated:

library(healthyR)

dx_cc_mapping %>%

  filter(CC_Code == "DX_660", ICD_Ver_Flag == "10")

Author

Steven P. Sanderson II, MPH

Examples

df <- data.frame(
  dx_col = "F10.10",
  px_col = NA,
  drg_col = "896"
)

service_line_augment(
  .data = df,
  .dx_col = dx_col,
  .px_col = px_col,
  .drg_col = drg_col
)
#> # A tibble: 1 × 4
#>   dx_col px_col drg_col service_line 
#>   <chr>  <lgl>  <chr>   <chr>        
#> 1 F10.10 NA     896     alcohol_abuse