Quantitative analysis
REGRESSION
To transform the qualitative data into a form suitable for quantitative processing, the presence (1) or absence (0) of each code for every prompt was recorded. Thereafter, the presence or absence of each thematic category was noted for each participant depending on the subcategories assigned to all the prompts they had authored.Logistic regression was used to assess if any baseline characteristics (age, gender, household characteristics, weekly alcohol consumption, episodes of heavy drinking, confidence, importance, know-how) as well as group allocation (intervention vs. control) were associated with an increased odds of engaging with the prompts module. Logistic regression was also used to estimate the odds ratio of authoring a prompt belonging to a specific thematic category given baseline characteristics or group allocation. Models were estimated using the 