prepare_data: Prepare our claims data for analysis

Description Usage Arguments Details Value Examples

View source: R/prepare-data.R

Description

prepare_data returns a dataset which has been transformed and prepared for subsequent functions in this package.

Usage

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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

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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 Aug. 20, 2021, 5:07 p.m.