README.md

In chop-analytics/demographics: OCQI Disparties Screening

Screening for Disparities

This package is used to screen for disparities in accordance with the recommendations by the QIC Ethics Subcommittee.

Setup

To install the package, run the following:

devtools::install_github("maduc/demographics", host = "github.research.chop.edu/api/v3")

How does this package work?

screen_demos()

The main function in this package is screen_demos(), which copies a SQL query that will add demographic data to your cohort and generate simple bar plots for an outcome metric stratified by each demographic field.

The demographics included for stratification are:

• Race (Non-Hispanic White, Non-Hispanic Black, Hispanic or Latino, Other)
• Primary Language (English, Non-English)
• Payer Type (Commercial, Government, Other)

The syntax of the function is as follows:

demographics::screen_demos(table = "TABLE_NAME", metric = "METRIC_FIELD",
                           qmr_con = CON_NAME, datamart = T/F)

Notes about the above:

• table can be either a datamart or an R dataframe. Whichever you choose to use, it must contain PAT_KEY, VISIT_KEY. If you are not using a datamart, only retain your primary key and the fields necessary to run the function. Doing otherwise may generate an error.
• metric must be a numeric field in your datamart or dataframe.
• qmr_con is the name of your QMR_DEV connection object.
• datamart refers whether or not table is a datamart. Defaults to TRUE.

get_demo_data()

get_demo_data() is a helper function to screen_demos(). It returns the dataset with demographic information and copies the SQL query used to generate the dataset to the clipboard. You can paste the query into Aginity after running get_demo_data() or screen_demos(). Use this function if you want to do further manipulations with your dataset. All of the arguments match screen_demos, however the datamart argument does not default to TRUE and must be specified.

demographics::get_demo_data(table = "TABLE_NAME", metric = "METRIC_FIELD",
                           qmr_con = CON_NAME, datamart = T/F)

If you have any questions or encounter any issues, contact Nonye Madu or Paul Wildenhain.

chop-analytics/demographics documentation built on May 7, 2019, 5 a.m.