Faculty Bibliography

BACKGROUND:Results reveal indicators of implementation success and strategies to address challenges to screening for substance use in primary care.

Background: Primary care clinics often struggle to choose the approach to alcohol and drug screening that is best suited to their resources, workflows, and patient populations. We are conducting a multi-site study to inform the implementation and feasibility of electronic health record (EHR)-integrated screening.
Method(s): In two urban academic health systems, researchers worked with stakeholders from 6 clinics to define and implement their optimal screening approach. All clinics used single-item screening questions for alcohol/drugs followed by AUDIT-C/DAST-10. Clinics chose between: (a) screening at routine vs. annual visits; and (b) staff-administered vs computer self-administered screening. Results were recorded in the EHR, and data was extracted quarterly to describe implementation outcomes including screening rate and detected prevalence of unhealthy (moderate-high risk) use among those screened. Findings are from the first 3 to 12 months post-implementation at each clinic.
Result(s): Across sites, of 84 311 patients with primary care visits, 58 492 (69%) were screened. In the four clinics with mature (9-12 months) implementation, screening rates ranged from 42% to 95%. Rates were lower (10%-22%) in the two clinics that recently launched. Screening at routine encounters, in comparison to annual visits, achieved higher screening rates for alcohol (90%-95% vs 42%-62%) and drugs (90%-94% vs 38%-60%). Staff-administered screening, in comparison to patient self-administered screening, had lower rates of detection of unhealthy alcohol use (2% vs 15-37%). Detection of unhealthy drug use was low, ranging from 0.3% to 1.5%.
Conclusion(s): EHR-integrated screening was feasible to implement in at least four of the six clinics; 1-year results (available Fall 2019) will determine feasibility at all sites. Self-administered screening at routine primary care visits achieved the highest rates of screening and detection of unhealthy alcohol use. Although limited by differences among clinics and their patient populations, this study provides insight into outcomes that may be expected with commonly used screening strategies in primary care.
Summary: This multi-site study conducted in the NIDA Clinical Trials Network seeks to inform the implementation and feasibility of EHR-integrated screening for substance use in primary care. This study will provide insight into outcomes that may be expected with commonly used screening strategies in primary care and may assist in fine-tuning the most appropriate approach to alcohol and drug screening best suited for primary care clinics, based on their individual resources, workflows, and patient populations

The application of digital technologies to better assess, understand, and treat substance use disorders (SUDs) is a particularly promising and vibrant area of scientific research. The National Drug Abuse Treatment Clinical Trials Network (CTN), launched in 1999 by the U.S. National Institute on Drug Abuse, has supported a growing line of research that leverages digital technologies to glean new insights into SUDs and provide science-based therapeutic tools to a diverse array of persons with SUDs. This manuscript provides an overview of the breadth and impact of research conducted in the realm of digital health within the CTN. This work has included the CTN's efforts to systematically embed digital screeners for SUDs into general medical settings to impact care models across the nation. This work has also included a pivotal multi-site clinical trial conducted on the CTN platform, whose data led to the very first "prescription digital therapeutic" authorized by the U.S. Food and Drug Administration (FDA) for the treatment of SUDs. Further CTN research includes the study of telehealth to increase capacity for science-based SUD treatment in rural and under-resourced communities. In addition, the CTN has supported an assessment of the feasibility of detecting cocaine-taking behavior via smartwatch sensing. And, the CTN has supported the conduct of clinical trials entirely online (including the recruitment of national and hard-to-reach/under-served participant samples online, with remote intervention delivery and data collection). Further, the CTN is supporting innovative work focused on the use of digital health technologies and data analytics to identify digital biomarkers and understand the clinical trajectories of individuals receiving medications for opioid use disorder (OUD). This manuscript concludes by outlining the many potential future opportunities to leverage the unique national CTN research network to scale-up the science on digital health to examine optimal strategies to increase the reach of science-based SUD service delivery models both within and outside of healthcare.

BACKGROUND:Timeline Follow-back (TLFB) interviews using self-report are often used to assess substance use. Oral fluid testing (OFT) offers an objective measure of substance use. There are limited data on the agreement between TLFB and OFT. METHODS:In this secondary analysis from a multisite study in five primary care sites, self-reported TLFB and OFT data collected under confidential conditions were compared to assess concordance (N=1799). OFT samples were analyzed for marijuana, heroin, cocaine, and non-medical use of prescription opioids. Demographic differences in discordance relative to TLFB and OFT concordant results for marijuana, the only substance with an adequate sample size in this analysis, were examined using multinomial logistic regression. RESULTS:Overall concordance rates between TLFB and OFT were 94.9 % or higher for each substance, driven by large subgroups with no use. Among participants with discordant use, marijuana was the only substance with lower detection on OFT than self-report (27.6 % OFT-positive only vs 32.2 % TLFB-positive only), whereas cocaine (65.6 % vs 8.6 %), prescription opioids (90.4 % vs 6.0 %), and heroin (40.7 % vs 26.0 %) all had higher detection via OFT than TLFB. Participants who reported marijuana use but had a negative OFT were more likely to be younger, Hispanic, and White compared to those with TLFB and OFT concordant positive results. CONCLUSIONS:TLFB and OFT show disparate detection of different substances. Researchers should consider the implications of using either self-report or oral fluid testing in isolation, depending on the substance and collection setting. Triangulating multiple sources of information may improve detection of drug use.

BACKGROUND:Unhealthy alcohol use is a leading cause of morbidity and mortality among young people, including university students. Delivering secondary prevention interventions against unhealthy alcohol use is challenging. Information technology has the potential to reach large parts of the general population. The present study is proposed to test a proactive secondary prevention smartphone-based intervention against unhealthy alcohol use. METHODS:This is a parallel-group, randomized controlled trial (1:1 allocation ratio) among 1696 university students with unhealthy alcohol use, identified by screening and followed up at 3, 6, and 12 months. Participants will be randomized to receive access to a smartphone-based intervention or to a no intervention control condition. The primary outcome will be self-reported volume of alcohol drunk over the past 30 days, reported as the mean number of standard drinks per week over the past 30 days, measured at 6 months. Secondary outcomes will be number of heavy drinking days over the past 30 days, at 6 months. Additional outcomes will be maximum number of drinks on any day over the past 30 days, alcohol-related consequences (measured using the Short Inventory of Problems (SIP-2R), and academic performance. DISCUSSION/CONCLUSIONS:The aim of this trial is to close the evidence gap on the efficacy of smartphone-based secondary prevention interventions. If proven effective, smartphone-based interventions have the potential to reach a large portion of the population, completing what is available on the Internet. TRIAL REGISTRATION/BACKGROUND:ISRCTN, 10007691. Registered on 2 December 2019. Recruitment will start in April 2020.

OBJECTIVES/OBJECTIVE:To assess in a cohort of young adults admitted with alcohol intoxication (AI) to the Emergency Department (ED): how many patients are readmitted to the ED or to a Psychiatric Department (PD) inpatient unit; and which characteristics are associated with further ED and PD inpatient admissions. METHODS:In 630 patients aged 18 to 30 years admitted for AI in 2006 to 2007 to the ED of a Swiss tertiary hospital, further ED and PD inpatient admissions through 2013 were assessed. Patient characteristics at the index (initial) ED visit were assessed using administrative and medical records. MEASUREMENTS/METHODS:Proportion of subjects with at least 1 further ED admission, 1 further ED admission with AI, and any PD admission over the study period.Associations between patients' characteristics at index visit and readmissions were assessed using backward selection multivariate regression analyses. RESULTS:Mean age was 24, 66% were male, 60% had any ED/PD admissions during the study period, 17.9% a PD admission, and 13.8% were re-admitted to ED with AI. Disruptive behavior at the index visit was associated with further ED (odds ratio [OR] 1.69 [1.13; 2.54]) and PD admissions (OR 2.41 [1.44; 4.05]). Psychiatric diagnosis was associated with any further ED admission (OR 2.07 [1.41; 3.05]), with further ED admission with AI (OR 4.56 [2.36; 8.81]) and with PD admission (OR 3.92 [2.40; 6.41]). Female sex predicted any further ED admission (OR 1.65 [1.14; 2.39]). CONCLUSIONS:Young adults presenting with alcohol intoxication have high rates of subsequent inpatient emergency and psychiatric admissions. Being female, presenting with disruptive behavior, and having a psychiatric diagnosis at the ED visit were predictors of further admissions.