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dc.contributor.authorClark, Charles B.
dc.contributor.authorZyambo, Cosmas M.
dc.contributor.authorLi, Ye
dc.contributor.authorCropsey, Karen L.
dc.date.accessioned2016-06-13T13:48:49Z
dc.date.available2016-06-13T13:48:49Z
dc.date.issued2016-07
dc.identifier.citationClark, C. Brendan; Zyambo, Cosmas M.; Li, Ye; Cropsey, Karen L. 2016. The impact of non-concordant self-report of substance use in clinical trials research. Addictive Behaviors, vol. 58:pp 74–79en_US
dc.identifier.issn0306-4603
dc.identifier.otherWOS:000374360800013
dc.identifier.urihttp://dx.doi.org/10.1016/j.addbeh.2016.02.023
dc.identifier.urihttp://hdl.handle.net/10057/12073
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractBackground: 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.en_US
dc.description.sponsorshipNational Institute of Health (5R01CA141663-02).en_US
dc.language.isoen_USen_US
dc.publisherElsevier Science Inc.en_US
dc.relation.ispartofseriesAddictive Behaviors;v.58
dc.subjectConcordanceen_US
dc.subjectUrine drug testen_US
dc.subjectCriminal justiceen_US
dc.subjectSubstance useen_US
dc.subjectFalse negativesen_US
dc.titleThe impact of non-concordant self-report of substance use in clinical trials researchen_US
dc.typeArticleen_US
dc.rights.holderCopyright © 2016 Elsevier Ltd. All rights reserved.en_US


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