calc_social_support: Calculate Social Support Score

In AOUSDOHtools: Analyzing AOU SDOH Survey Data

Calculate Social Support Score

Description

This function computes a numeric social support score ranging from 0 to 100. The score is based on the mean of individual item scores, transformed to a 0-100 scale, with higher scores indicating more social support.

Usage

calc_social_support(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 'social_support', where 'social_support' is the calculated social support score for each participant. The score is scaled from 0 to 100, with higher values indicating greater social support. Participants who did not answer all eight questions will have NA values.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = rep(1:3, each = 8),
  question_concept_id = rep(c(40192388, 40192399, 40192439, 40192442,
                              40192446, 40192480, 40192511, 40192528), times = 3),
  answer_concept_id = sample(c(40192454, 40192518, 40192486, 40192382, 40192521),
                             24, replace = TRUE)
)

# Compute social support scores
social_support_scores <- calc_social_support(survey_df)
head(social_support_scores)

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