calculate_health_expend: Calculating Severe and Catastrophic Household Health...

In SaeedR1987/healthyr: REACH Nutrition & Health R Tools

Calculating Severe and Catastrophic Household Health Expenditures

Description

Independent function aimed to help calculate whether a household has severe (>10% of expenditures) or catastrophic (>25% of expenditures) expenditures for health care.

Usage

calculate_health_expend(
  df,
  monthly_expenditures,
  period_expenditures = NULL,
  num_period_months = NULL,
  health_exp_col
)

Arguments

df	Inputs a dataframe with monthly or period household expenditure information
monthly_expenditures	Inputs a character vector of column names for columns of various household expenses in the previous 30 days.
period_expenditures	Inputs a character vector of column names for columns of various household expenses in a previous, recall period, specified in the num_period_months paramater.
num_period_months	Inputs a whole integer for the number of months of the period expenditures reported.
health_exp_col	Inputs a character value for the name of the column specific for health household expenditures.

Value

Returns the dataframe with additional columns for severe and catastrophic health expenditures.

Examples

## Not run: calculate_health_expend(df = myexpendituredata, monthly_expenditures =
c("food_exp", "gas_exp", water_exp", "health_exp"), health_exp_col = "health_exp"))
## End(Not run)
## Not run: calculate_health_expend(df = myexpendituredata, monthly_expenditures =
c("food_exp", "gas_exp", water_exp"), period_expenditures = c("shelter_repair_exp",
"education_exp", "health_exp"), num_period_months = 6, health_exp_col = "health_exp")
## End(Not run)

SaeedR1987/healthyr documentation built on July 4, 2023, 11:17 p.m.