Treatment Effectiveness Score for Clinical Trials in Substance Abuse

Walter Ling from West Los Angeles College authored a chapter discussing outcome measures for evaluating patient responses to substance abuse treatments. The text reviews traditional objective indices like urine toxicology screens and proposes three composite methods for aggregating these data in clinical trials. The dataset likely contains treatment response data, but its specific size, format, and structure are not detailed.

Use Cases

• Developing composite treatment effectiveness scores based on objective indices like urine toxicology results mentioned in the description.
• Evaluating methods to handle missing data in clinical trial matrices, a problem highlighted in the description.
• Comparing traditional physical measures (e.g., urine, blood samples) against self-reported measures for assessing drug abstinence.
• Modeling patient treatment response trajectories, considering challenges like early termination or poor response noted in the description.

Strengths

• Focuses on objective indices like urine toxicology screens, which are noted as preferable to self-report for evaluating treatment response.
• The description references established guidelines for specimen collection procedures, suggesting methodological rigor.

Limitations

• Row count, column names, and sample data are unknown, which limits suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Walter Ling, West Los Angeles College, via paperswithcode.

Collection Method

Likely derived from clinical trial research, as described in an academic chapter.