prepare_data: Prepare our claims data for analysis

In multimorbidity: Harmonizing Various Comorbidity, Multimorbidity, and Frailty Measures

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
)

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.

Value

dataframe with multiple rows per patient, which has re-structured their claims

Examples

prepare_data(dat = i9_i10_comb, id = patient_id, style = "wide",
prefix_dx = "dx", hcpcs = "yes", prefix_hcpcs = "hcpcs", version_var = icd_version,
type_name = visit_type, date = date_of_serv)

multimorbidity documentation built on Feb. 16, 2023, 5:57 p.m.