The impact of non-concordant self-report of substance use in clinical trials research
| Autor: | Karen L. Cropsey, C. Brendan Clark, Cosmas M. Zyambo, Ye Li |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Adult
Male medicine.medical_specialty Alcohol Drinking Substance-Related Disorders medicine.medical_treatment Concordance Population 030508 substance abuse Medicine (miscellaneous) Marijuana Smoking Toxicology Article Cocaine-Related Disorders 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine medicine Humans 030212 general & internal medicine Cotinine Psychiatry education False Negative Reactions Generalized estimating equation Clinical Trials as Topic education.field_of_study Smoking Middle Aged Opioid-Related Disorders Substance Abuse Detection Clinical trial Psychiatry and Mental health Clinical Psychology chemistry Smoking cessation Female Smoking Cessation Self Report 0305 other medical science Psychology Clinical psychology |
| Zdroj: | Addictive Behaviors. 58:74-79 |
| ISSN: | 0306-4603 |
| Popis: | Background Studies comparing self-report substance use data to biochemical verification generally demonstrate high rates of concordance. We argue that these rates are due to the relatively high true negative rate in the general population, and high degree of honestly in treatment seeking individuals. We hypothesized that high risk individuals not seeking treatment would demonstrate low concordance and a high false negative rate of self-reported substance use. Methods A sample of 500 individuals from a smoking cessation clinical trial was assessed over 1 year. Assessments included semi-structured interviews, questionnaires (e.g. Addiction Severity Index, etc.), and urine drug screen assays (UDS). Generalized estimating equations (GEEs) were used to predict false negative reports for various substances across the study and determine the influence of substance use on the primary study outcome of smoking cessation. Results Participants demonstrated high false negative rates in reporting substances use, and the false negative rates increased as the study progressed. Established predictors of false negatives generalized to the current sample. High concordance and low false negative rates were found in self-report of nicotine use. A small but significant relationship was found in for effect of biochemically verified substance use on smoking cessation. Conclusions Biochemical verification of substance use is needed in high risk populations involved in studies not directly related to the treatment of substance use, especially in populations with high threat of stigmatization. Testing should continue through the time period of the study for maximal identification of substance use. |
| Databáze: | OpenAIRE |
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