Faculty Bibliography

BACKGROUND: Alcohol and drug use are often under-identified in primary care settings. While prior research indicates that patients are generally supportive of alcohol screening, less is known about attitudes toward drug screening or the collection of this information in electronic health records (EHRs). As a part of an implementation study of EHRintegrated substance use screening in primary care, conducted in the NIDA Clinical Trials Network, patients were surveyed on their attitudes toward screening for substance use during medical visits.
METHOD(S): Surveys were administered to patients in four urban academic primary care clinics on a quarterly basis, for one year following the introduction of a screening program. English-speaking adult patients presenting for a primary care visit were eligible. Participants were recruited from the waiting room and self-administered an 18-item survey exploring attitudes toward screening and discussing substance use with healthcare providers.
RESULT(S): A total of 479 patients completed the survey (mean age 54.1; 58% female; 58% white, 23% black; 19% Hispanic/Latino). Participants overwhelmingly felt that they should be asked about their substance use (91%), and deemed it appropriate for their doctor to recommend reducing use if it could adversely affect their health (92%). Most (87%) were equally comfortable discussing alcohol or drug use. A majority (63%) preferred discussing substance use with their doctor over other medical staff. Responses weremixed regarding screening modality: 55%preferred face-to-face, 22% had no preference, 14% preferred self- administration. Participants reported that they would be honest with their provider (94%), but 32% were concerned about medical record confidentiality.
CONCLUSION(S): Primary care patients strongly supported being screened for drug and alcohol use, and would be comfortable discussing it with their doctor. However, patients' concerns about having their substance use documented in their medical record could pose a barrier to achieving accurate responses. These findings suggest a need to educate patients on the confidentiality of medical records and the value of disclosing substance use for their medical care

BACKGROUND: Under-treatment of drug and alcohol use in primary care settings has been attributed, in part, to medical providers' negative attitudes toward substance use. As a part of an implementation study of electronic health record-integrated substance use screening in primary care clinics, conducted in the NIDA Clinical Trials Network, we assessed baseline attitudes among medical staff.
METHOD(S): Eligible participants were primary care providers and medical assistants in 4 urban academic primary care clinics. Prior to implementation of a substance use screening program, participants completed the Substance Abuse Attitudes Survey (SAAS), a validated 50-item self-administered survey that measures attitudes to substance use in 5 domains: permissiveness, non-moralism, nonstereotyping, treatment intervention, and treatment optimism. Participants were asked to rate their level of agreement with each item on a five-point Likert scale.
RESULT(S): In total, 131/191 (69% response rate) eligible staff completed the survey. Participants had mean age 42; 76% were female; 11% Hispanic/Latino, 6% Black, 25% Asian. The majority of the sample was physicians (78%), while 11% were nurse practitioners, and 11% were medical assistants. Participants had an overall average of 13.2 years in practice. Approximately onethird reported moderate to high satisfaction treating patients with drug problems (35.1%) and alcohol problems (33.6%). The proportion of participants having positive attitudes in each of the following domains were: non-moralism (64.1%); non-stereotyping (55.7%); treatment intervention (47.3%); treatment optimism (48.9%); and permissiveness (44.3%). Negative attitudes toward permissiveness reflect responses to items addressing health effects of substance use, especially among teens.
CONCLUSION(S): While most primary care staff did not endorse moralistic or stereotyping statements about alcohol and drug use, attitudes toward addiction treatment were mixed, with less than half endorsing positive attitudes toward treatment effectiveness. These results suggest a need to improve attitudes, particularly toward addiction treatment. This could be accomplished through education and increased exposure to effective interventions that can be delivered by primary care providers, including officebased treatment for alcohol and opioid use disorder

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.

There is an urgent need for strategies to address the US epidemic of prescription opioid, heroin and fentanyl-related overdoses, misuse, addiction, and diversion. Evidence-based treatment such as medications for opioid use disorder (MOUD) are available but lack numbers of providers offering these services to meet the demands. Availability of electronic health record (EHR) systems has greatly increased and led to innovative quality improvement initiatives but this has not yet been optimized to address the opioid epidemic or to treat opioid use disorder (OUD). This report from a clinical decision support (CDS) working group convened by the NIDA Center for the Clinical Trials Network aims to converge electronic technology in the EHR with the urgent need to improve screening, identification, and treatment of OUD in primary care settings through the development of a CDS algorithm that could be implemented as a tool in the EHR. This aim is consistent with federal, state and local government and private sector efforts to improve access and quality of MOUD treatment for OUD, existing clinical quality and HEDIS measures for OUD or drug and alcohol use disorders, and with a recent draft grade B recommendation from the US Preventative Services Task Force (USPSTF) for screening for illicit drug use in adults when appropriate diagnosis, treatment and care services can be offered or referred. Through a face-to-face expert panel meeting and multiple follow-up conference calls, the working group drafted CDS algorithms for clinical care felt to be essential for screening, diagnosis, and management of OUD in primary care. The CDS algorithm was reviewed by addiction specialists and primary care providers and revised based on their input. A clinical decision support tool for OUD screening, assessment, and treatment within primary care systems may help improve healthcare delivery to help address the current epidemic of opioid misuse and overdose that has outpaced the capacity of specialized treatment settings. A semi-structured outline of clinical decision support for OUD was developed to facilitate implementation within the EHR. Further work for adaptation at specific sites and for testing is needed.

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.