calc_nei: Calculate Neighborhood Environment Index (NEI)

In AOUSDOHtools: Analyzing AOU SDOH Survey Data

Calculate Neighborhood Environment Index (NEI)

Description

This function computes a Neighborhood Environment Index (NEI) score based on 6 specific items related to the built environment for physical activity. The score ranges from 0 to 6, with higher scores indicating a more favorable environment for physical activity.

Usage

calc_nei(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 'nei', where 'nei' is the calculated Neighborhood Environment Index score for each participant. The score is the sum of individual item scores, where higher values indicate a more favorable built environment for physical activity. Participants who did not answer all 6 questions will have NA values.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = rep(1:3, each = 6),
  question_concept_id = rep(c(40192410, 40192431, 40192436, 40192437,
                              40192440, 40192458), times = 3),
  answer_concept_id = sample(c(40192527, 40192422, 40192407, 903087,
                                903096, 40192520, 40192514, 40192455),
                             18, replace = TRUE)
)

# Compute Neighborhood Environment Index (NEI) scores
nei_scores <- calc_nei(survey_df)
head(nei_scores)

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