Poster presented at the College on Problems of Drug Dependence (CPDD) annual meeting, Phoenix, AZ, June 13-18, 2015.
Paul C. VanVeldhuisen, PhD (CTN Data & Statistics Center, EMMES Corporation), Gaurav Sharma, PhD (CTN Data & Statistics Center, EMMES Corporation), Michael P. Bogenschutz, PhD (University of New Mexico, SW Node).
This secondary analysis of data from the National Drug Abuse Treatment Clinical Trials Network's "Screening Motivational Assessment and Referral to Treatment in Emergency Departments (SMART-ED)" study (CTN-0047) aimed to examine predictors of agreement between hair analyses and self-report of drug use. Self-reported drug use during follow-up over a 90-day recall period on the Timeline Follow Back Instrument was compared to drug use from hair analysis for Cannabis, Cocaine, Prescribed Opioids [PO] and Street Opioids[SO]. Measures of agreement/disagreement, including under-reporting (self report negative when hair indicates drug use) and over-reporting (self-report positive when hair does not indicate drug use) were calculated. The following variables were examined as predictors of disagreement: source of hair (head vs. body), drug of choice, site, AUDIT-C score, DAST-10 score, visit, treatment arm, sex, race, ethnicity and age. Of the 1,285 randomized participants, 1120 (87%), 875 (68%), 893 (69%) and 832 (65%) provided hair samples at baseline, 3-, 6-, 12-month visits, respectively.
The agreement between the hair sample results and TLFB was high for cannabis (cohen’s κ = 0.49-0.54) and SO (κ = 0.73-0.81), but lower for cocaine (κ = 0.31-0.35) and PO (κ = 0.18-0.30). Drug of choice, irrespective of being cannabis, cocaine, SO or PO, had statistically significantly lower under-reporting of drug use compared with other self-reported drug use (all p-values < .01). Of note, females (p=.0085; F vs M; OR = 1.33) and older age (p=.0076; 45-<55 vs 18-<25; OR = 2.02) were associated with under-reporting of cannabis use. Few predictors of over-reporting were identified.
Conclusions: Hair collection can be an important biological measure to assess drug use, and can be used to assist in corroborating self-report. From these analyses, there are a number of factors that impact agreement between drug use as measured by hair and drug use through self-report. (Poster, PDF, English, 2015)
Keywords: Cocaine | CTN platform/ancillary study | Hair analysis | Heroin | Marijuana | Prescription-type opiates | Self-report | Timeline Follow-Back (TLFB) | College on Problems of Drug Dependence (CPDD) annual meeting, 2015
Document No: 1161.
Submitted by Paul VanVeldhuisen, PhD, EMMES Corporation (7/7/2015).