Sexually Transmitted Infection Testing After Brief Intervention for Risk Behaviors in School-Based Health Centers.

PURPOSE: The initiation and escalation of substance use and sex behaviors is prevalent during adolescence. School-based health centers (SBHCs) are well-equipped to provide interventions for risky behaviors and offer sexually transmitted infection (STI) testing services. This study examined receipt of STI testing following brief intervention (BI) among sexually active adolescents. METHODS: This is a secondary analysis of data from a randomized trial comparing computer versus nurse practitioner-delivered BI approaches among adolescents (ages 14-18) with risky alcohol and/or cannabis use at two SBHCs within two urban high schools. Associations were examined among receipt of STI testing and participant characteristics, BI format, site, and frequency of substance use/sexual behaviors. RESULTS: Among sexually active participants (N = 254), 64.2% received STI testing at their SBHC within 6 months of receiving a BI. Participants receiving nurse practitioner-delivered BI had higher odds of getting STI testing than participants receiving computer-delivered BI (adjusted odds ratio 2.51, 95% confidence interval 1.41-4.47, p = .002). Other variables associated with STI testing in multivariable logistic regression included female sex (p = .001), being in a serious relationship (p = .018), and SBHC site (p < .001). Frequency of substance use and sexual risk behaviors were not independently associated with receipt of STI testing services. CONCLUSION: Sexually active adolescents who received in-person BI from a nurse practitioner were more likely to get STI testing than adolescents who received BI via computer. Nurse practitioners working in SBHCs can successfully engage adolescents in additional sexual health services subsequent to BI for risky behaviors.

Validation of the TAPS-1: A Four-Item Screening Tool to Identify Unhealthy Substance Use in Primary Care.

BACKGROUND: The Tobacco, Alcohol, Prescription Medication, and Other Substance use (TAPS) tool is a combined two-part screening and brief assessment developed for adult primary care patients. The tool's first-stage screening component (TAPS-1) consists of four items asking about past 12-month use for four substance categories, with response options of never, less than monthly, monthly, weekly, and daily or almost daily. OBJECTIVE: To validate the TAPS-1 in primary care patients. DESIGN: Participants completed the TAPS tool in self- and interviewer-administered formats, in random order. In this secondary analysis, the TAPS-1 was evaluated against DSM-5 substance use disorder (SUD) criteria to determine optimal cut-points for identifying unhealthy substance use at three severity levels (problem use, mild SUD, and moderate-to-severe SUD). PARTICIPANTS: Two thousand adult patients at five primary care sites. MAIN MEASURES: DSM-5 SUD criteria were determined via the modified Composite International Diagnostic Interview. Oral fluid was used as a biomarker of recent drug use. KEY RESULTS: Optimal frequency-of-use cut-points on the self-administered TAPS-1 for identifying SUDs were ≥ monthly use for tobacco and alcohol (sensitivity = 0.92 and 0.71, specificity = 0.80 and 0.85, AUC = 0.86 and 0.78, respectively) and any reported use for illicit drugs and prescription medication misuse (sensitivity = 0.93 and 0.89, specificity = 0.85 and 0.91, AUC = 0.89 and 0.90, respectively). The performance of the interviewer-administered format was similar. When administered first, the self-administered format yielded higher disclosure rates for past 12-month alcohol use, illicit drug use, and prescription medication misuse. Frequency of use alone did not provide sufficient information to discriminate between gradations of substance use problem severity. Among those who denied drug use on the TAPS-1, less than 4% had a drug-positive biomarker. CONCLUSIONS: The TAPS-1 can identify unhealthy substance use in primary care patients with a high level of accuracy, and may have utility in primary care for rapid triage.

Performance of the Tobacco, Alcohol, Prescription Medication, and Other Substance Use (TAPS) Tool for Substance Use Screening in Primary Care Patients.

BACKGROUND: Substance use, a leading cause of illness and death, is underidentified in medical practice. OBJECTIVE: The Tobacco, Alcohol, Prescription medication, and other Substance use (TAPS) tool was developed to address the need for a brief screening and assessment instrument that includes all commonly used substances and fits into clinical workflows. The goal of this study was to assess the performance of the TAPS tool in primary care patients. DESIGN: Multisite study, conducted within the National Drug Abuse Treatment Clinical Trials Network, comparing the TAPS tool with a reference standard measure. (ClinicalTrials.gov: NCT02110693). SETTING: 5 adult primary care clinics. PARTICIPANTS: 2000 adult patients consecutively recruited from clinic waiting areas. MEASUREMENTS: Interviewer- and self-administered versions of the TAPS tool were compared with a reference standard, the modified World Mental Health Composite International Diagnostic Interview (CIDI), which measures problem use and substance use disorder (SUD). RESULTS: Interviewer- and self-administered versions of the TAPS tool had similar diagnostic characteristics. For identifying problem use (at a cutoff of 1+), the TAPS tool had a sensitivity of 0.93 (95% CI, 0.90 to 0.95) and specificity of 0.87 (CI, 0.85 to 0.89) for tobacco and a sensitivity of 0.74 (CI, 0.70 to 0.78) and specificity of 0.79 (CI, 0.76 to 0.81) for alcohol. For problem use of illicit and prescription drugs, sensitivity ranged from 0.82 (CI, 0.76 to 0.87) for marijuana to 0.63 (CI, 0.47 to 0.78) for sedatives; specificity was 0.93 or higher. For identifying any SUD (at a cutoff of 2+), sensitivity was lower. LIMITATIONS: The low prevalence of some drug classes led to poor precision in some estimates. Research assistants were not blinded to participants' TAPS tool responses when they administered the CIDI. CONCLUSION: In a diverse population of adult primary care patients, the TAPS tool detected clinically relevant problem substance use. Although it also may detect tobacco, alcohol, and marijuana use disorders, further refinement is needed before it can be recommended broadly for SUD screening. PRIMARY FUNDING SOURCE: National Institute on Drug Abuse.

Relationship of gambling with tobacco, alcohol, and illicit drug use among adolescents in the USA: Review of the literature 2000-2014.

BACKGROUND AND OBJECTIVES: Adolescence is a time during which not only gambling, but also tobacco, alcohol, and illicit drug use, usually begin. The purpose of this paper is to provide an updated review of the literature on gambling and its associations with tobacco, alcohol, and illicit drug use among US youth. METHODS: An electronic literature search of PubMed and PsycInfo was conducted for studies since 2000 using the keywords "smoking," "tobacco," "nicotine," "cigarette," "gambling," "adolescence," "adolescent," "alcohol," and "substance use." Ten articles with unique adolescent samples were located. Because the articles varied in regard to definitions of gambling, tobacco, alcohol, and drug use, we provide a qualitative review of included studies. RESULTS: Gambling prevalence rates ranged from 44.3% to 68% in national telephone-based surveys, from 24.4% to 86% among students in school-based surveys, and from 22.5% to 47.4% in surveys of convenience samples. Significant associations were reported between gambling and tobacco use (4/7 articles), gambling and alcohol use (7/8 articles), and gambling and illicit drug use (7/8 articles). CONCLUSIONS: The wide range in rates of gambling and problem gambling may be due in part to differences among the studies in participant samples, sampling techniques, assessment time frames, and definitions of gambling. Despite methodological differences, most studies showed significant associations of gambling with tobacco, alcohol, and other illicit drug use. SCIENTIFIC SIGNIFICANCE: As accessibility to gambling increases, more research is needed to inform prevention efforts and identify youth at-risk for gambling and other high-risk behaviors.