Package 'socialrisk'

Prepare our administrative data for analysis

Description

clean_data returns a dataset which has been transformed and cleaned for subsequent functions in this package.

Usage

clean_data(dat = NULL, style = "long", id = NULL, prefix_dx = "dx")

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

Details

This function takes our raw administrative 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 administrative data

Examples

clean_data(dat = i10_wide, id = patient_id, style = "wide", prefix_dx = "dx")

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Example administrative data.

Description

A dataset with fake patient data for 5 patients with ICD-10 diagnosis codes.

Usage

data(i10_wide)

Format

A data frame with 29 rows and 11 variables:

patient_id

patient_id

sex

patient's sex (male or female)

date_of_serv

the date of service for the fake claim

dx1

first diagnosis

dx2

second diagnosis

dx3

third diagnosis

dx4

fourth diagnosis

dx5

fifth diagnosis

visit_type

inpatient (ip) or outpatient(ot)

hcpcs

HCPCS code

icd_version

Which version of ICD the row is. 9 = ICD-9, 0 = ICD-10

Source

This was created by the package author.

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Social Risk

Description

socialrisk returns a summary dataset containing indicators of social risk, which vary based on the taxonomy command, for each patient.

Usage

socialrisk(dat = NULL, id = NULL, dx = "dx", taxonomy = "cms")

Arguments

dat	dataset which has been properly prepared in long format
id	variable of the unique patient identifier
dx	the column with the diagnoses (defaults to 'dx')
taxonomy	the taxonomy one wishes to use for social risk, with options of "cms" (default), "mha", and "siren"

Details

This function uses data which has been properly prepared to identify and flag social risks.

Value

dataframe with one row per patient, a column for their patient id, a column with whether they have any social risk, a column with the number of social risk domains, and columns with indicator variables for each social risk

Examples

data <- clean_data(dat = i10_wide, id = patient_id, style = "wide", prefix_dx = "dx")
socialrisk(dat = data, id = patient_id, dx = dx, taxonomy = "cms")

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