calc_hcd_ever: Calculate Ever Experienced Health Care Discrimination

In AOUSDOHtools: Analyzing AOU SDOH Survey Data

Calculate Ever Experienced Health Care Discrimination

Description

This function creates a binary categorical variable (TRUE/FALSE) indicating whether a participant has ever endorsed perceived discrimination in health care based on responses to seven specific survey items. TRUE indicates that the participant has experienced at least one instance of perceived discrimination.

Usage

calc_hcd_ever(survey_df)

Arguments

survey_df

A data frame containing survey data with at least three columns: 'person_id', 'question_concept_id', and 'answer_concept_id'.

Value

A data frame with two columns: 'person_id' and 'hcd_ever', where 'hcd_ever' is TRUE if the participant endorsed any form of discrimination in health care and FALSE otherwise. Participants who did not respond to all 7 items will have an NA value for 'hcd_ever'.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = rep(1:3, each = 7),
  question_concept_id = rep(c(40192383, 40192394, 40192423, 40192425,
                              40192497, 40192503, 40192505), times = 3),
  answer_concept_id = sample(c(40192465, 40192481, 40192429, 40192382, 40192515),
                             21, replace = TRUE)
)

# Compute whether participants have ever experienced health care discrimination
hcd_ever_scores <- calc_hcd_ever(survey_df)
head(hcd_ever_scores)

AOUSDOHtools documentation built on April 3, 2025, 8:11 p.m.