Related Experiment Videos
Talk is cheap: measuring drinking outcomes in clinical trials
T F Babor1, K Steinberg, R Anton
1Department of Community Medicine and Health Care, University of Connecticut Health Center, Farmington 06030-1910, USA.
Journal of Studies on Alcohol
|January 8, 2000
Summary
Patient self-reports are more reliable than biochemical tests or collateral reports for measuring alcohol consumption in clinical trials. Cognitive impairment can affect recall accuracy, suggesting improved interview techniques are needed.
Area of Science:
- Addiction research
- Clinical trial methodology
- Alcohol use disorder assessment
Background:
- Accurate measurement of alcohol consumption is crucial for evaluating treatment efficacy in clinical trials.
- Discrepancies often exist between self-reports, biochemical markers, and collateral information regarding alcohol intake.
Purpose of the Study:
- To assess the agreement between self-reported drinking, biological indicators (e.g., liver function tests), and collateral informant reports.
- To identify patient characteristics associated with discrepancies among these data sources.
Main Methods:
- Utilized data from a large clinical trial (N=1,726) comparing alcohol treatment matching.
- Compared self-reports, biological indicators, and collateral reports at treatment admission and 12-month follow-up.
Main Results:
- Self-reports and collateral reports showed high agreement at admission (97.1%).
- Liver function tests (serum gamma-glutamyl transpeptidase) were insensitive, detecting heavy drinking in only 39.7% of cases.
- Agreement between self-reports and biochemical measures improved at follow-up, but self-reports remained more sensitive to drinking levels.
- Patients with discrepancies often had severe drinking problems, prior treatments, and cognitive impairment.
Conclusions:
- Biochemical tests and collateral reports offer limited added value over self-reports in clinical trials with volunteers.
- Resources may be better allocated to enhancing the validity of self-report measures through improved interview techniques.