Self-Reported Drug Use Validity Studies from High-Risk Populations

A literature review chapter by Yih‐Ing Hser of the National Institute on Drug Abuse examines the quality of self-reported drug use data. It discusses two empirical study series, one analyzing longitudinal retrospective reports from narcotics addicts and another focusing on high-risk groups from STD clinics, emergency rooms, and jails. The work concludes that empirical validation is necessary to enhance data utility and control for biases.

Use Cases

• Assessing the reliability of self-reported drug use measures based on the described empirical investigations
• Studying biases in prevalence estimation for high-risk populations based on the described sample sources
• Validating relationships among latent constructs in behavioral data based on the described analyses of addicts' self-reports
• Comparing data quality across different drug types and subject characteristics based on the described findings

Strengths

• Focuses on empirical validation of self-report data, a key methodological concern
• Analyzes data from specific high-risk populations including STD clinic patients, ER visitors, and jail inmates
• Examines multiple quality dimensions including validity, reliability, and stability of measures

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified

Provenance

Source

National Institute on Drug Abuse

Collection Method

Literature review and analysis of empirical studies