Predictors of Initiating OAT Among People with Opioid Use Disorder (N=119)

A dataset of 119 individuals with opioid use disorder, created by Matthew N. Ponticiello and last updated on 2026-05-27. It is hosted on figshare under a CC-BY-4.0 license and is stored in an XLS file format. The data likely contains variables related to predictors for initiating Opioid Agonist Treatment.

Use Cases

• Train a classification model to predict OAT initiation based on patient characteristics.
• Conduct statistical analysis on factors associated with treatment engagement for opioid use disorder.
• Perform feature importance analysis on predictors of OAT uptake mentioned in the study.

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and initial exploration.
• It has a clear, permissive license (CC-BY-4.0) for reuse and sharing.
• The title specifies a concrete sample size of 119 individuals.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-27 17:22:25; freshness should be verified.