Pakistani Youth Survey on Generative AI for Health

Pakistan's digitally connected urban youth provide evidence on informal generative AI use for health. The dataset contains survey results from 1240 participants and 20 interviews, collected by researcher Ahsan Mashhood and published in April 2026. It captures self-reported usage rates, demographic factors, and thematic interview insights.

Use Cases

• Predict GAI use for health from demographic features like gender and reported mental/physical conditions using logistic regression.
• Analyze the relationship between trust_in_AI, confidence_using_AI, and the likelihood of GAI health use.
• Model the association between prior use of non-generative digital health tools and subsequent GAI adoption.
• Explore qualitative themes on access, emotional safety, and empowerment from the 20 interview transcripts.

Strengths

• Survey includes 1240 participants, providing a substantial sample for quantitative analysis.
• Dataset includes mixed-methods data, combining 20 in-depth interviews with survey responses.
• Contains specific statistical results like adjusted odds ratios (aOR) for key predictors.

Limitations

• Small file size of 17.5 KB indicates limited raw data, likely summary statistics rather than full individual-level records.
• Sample is limited to digitally connected urban youth in Pakistan, not nationally representative.
• Temporal coverage is a single point in time, limiting longitudinal analysis.

Provenance

Source

Ahsan Mashhood via figshare.

Collection Method

Youth-led convergent mixed-methods design comprising a survey and interviews.

Freshness

Last updated in April 2026, indicating recent data collection.

Geography

Urban areas of Pakistan.