Drug-Drug Interaction Patterns Among Older Adults in Saudi Arabia, 2024-2025

A cross-sectional study of 173 community-dwelling outpatients aged ≥60 years in Saudi Arabia, conducted between November 2024 and March 2025. The data, published by author Wael Y. Khawagi, identifies 285 potential drug-drug interactions, with polypharmacy and hypertension as key predictors. The dataset is shared under a CC-BY-4.0 license.

Use Cases

• Predicting the risk of drug-drug interactions based on patient polypharmacy status and hypertension diagnosis.
• Analyzing the prevalence and severity patterns of specific drug pairs, such as amlodipine-aspirin-insulin combinations.
• Training models to identify high-risk medication regimens for older adults in community settings.

Strengths

• Data collection involved structured face-to-face interviews with 173 participants.
• Potential DDIs were identified using the established Stockley’s Drug Interactions database.
• Multivariate logistic regression results, including adjusted odds ratios and confidence intervals, are provided.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's 123.4 KB size suggests a limited scope, likely containing summary statistics rather than patient-level records.

Provenance

Source

Wael Y. Khawagi via figshare

Collection Method

Cross-sectional study using structured face-to-face interviews.

Time Range

Data collected between November 2024 and March 2025.

Freshness

Last updated 2026-05-13 05:55:20; freshness should be verified.

Geography

Community-dwelling older adults in Saudi Arabia.