Adjusted Odds Ratios for Generative AI Health Use in Pakistan

69.0% of 1240 surveyed digitally connected urban youth in Pakistan reported using Generative AI for health purposes. This dataset contains the adjusted odds ratios from multivariable logistic regression models analyzing predictors of this use. It was published by researcher Ahsan Mashhood in April 2026.

Use Cases

• Analyze the relationship between demographic factors like gender (women) and health status (any mental/physical condition) and the likelihood of GAI health use using the reported aORs and confidence intervals.
• Model the predictive strength of attitudinal variables, such as trust in AI and confidence using AI, on the primary outcome of any GAI use for health.
• Compare the effect sizes of prior digital health tool use and telemedicine use as predictors for adopting generative AI for health information.
• Validate regression models on health technology adoption by benchmarking against the published aORs for awareness of AI risks.

Strengths

• Statistical results are derived from a survey of 1240 participants, providing a substantive sample size.
• Model outputs include key metrics: adjusted odds ratios (aOR), 95% confidence intervals, and p-values for each predictor.

Limitations

• The dataset is very small at 5.5 KB, containing only the regression results, not the underlying 1240-row survey data.
• Findings are geographically limited to urban, digitally connected youth in Pakistan and may not generalize to other populations.
• Temporal coverage of the source survey is not specified, limiting analysis of trends over time.

Provenance

Source

Figshare, authored by Ahsan Mashhood.

Collection Method

Derived from a youth-led convergent mixed-methods study, including a survey (N=1240) and 20 interviews.

Freshness

Last updated in April 2026, indicating recent analysis.

Geography

Urban areas of Pakistan.