prepare_data: Prepare our claims data for analysis
Description
prepare_data returns a dataset which has been transformed and prepared for subsequent functions in this
package.
Usage
prepare_data(
dat = NULL,
style = "long",
id = NULL,
prefix_dx = "dx",
hcpcs = "no",
prefix_hcpcs,
version_var,
type_name,
date
)
Value
dataframe with multiple rows per patient, which has re-structured their claims
Arguments
dat
dataset
style
long, the default, is one diagnosis column per row whereas wide is multiple diagnosis columns
id
unique patient identifier variable name
prefix_dx
the variable prefix for the diagnosis columns (defaults to "dx"), in quotes
hcpcs
whether or not HCPCS variables are included ("yes" or "no", where "no" is the default)
prefix_hcpcs
if HCPCS are included, the variable prefix in quotes
version_var
variable which denotes if the diagnoses on that row are ICD-9 (9) or ICD-10 (10)
type_name
variable to denote if the claim is inpatient (ip) or outpatient (ot)
date
variable with the date of the claim
Details
This function takes our raw claims data, in a number of different forms, and prepares it in a way which allows the
other functions in this package to easily work with it. It is recommended to run this package on all data
regardless of setup.