Analysis code for a pilot validation study of a web-based isiXhosa PHQ-9 screening tool.
# App-based isiXhosa PHQ-9: Pilot study of usability for depressive symptom screening in South Africa
Analysis code for a pilot validation study of a web-based isiXhosa PHQ-9 screening tool.
### PROJECT SUMMARY
The goal of this pilot study was to explore the usability of a web-based application to administer the isiXhosa PHQ-9 using audio recordings of questions and responses.
### CONTACT
For any questions about the code, please contact the lead investigator: Dr Arish Mudra Rakshasa-Loots (arish.mrl@ed.ac.uk).
### DATASET
The associated dataset is available through the Edinburgh DataShare service, along with a data dictionary describing all variables.
### DESCRIPTION OF SCRIPTS
This R code is for analysing the quantitative data generated from the pilot validation study.
`00-packages.R` loads the required packages (or installs them if they are not already installed).
`01-loaddata.R` imports the cleaned dataset and classifies variables to appropriate categories.
`02-demos.R` calculates summary statistics for available demographic variables and exports a Word document with the demographic table.
`04-mauq.R` calculates summary statistics (median and interquartile ranges) for each item of the adapted mHealth App Usability Questionnaire (MAUQ).
`04-logreg-dep.R` runs these regression models with life stage at immigration and time since immigration as predictors.