Faculty Bibliography

BACKGROUND:Non-disclosure of drug use on surveys is common and many drug users unknowingly ingest adulterant or replacement drugs, which leads to underreporting of use of these drugs. Biological testing can complement survey research, and hair-testing is an appealing method as many drugs are detectable for months post-use. We examined willingness to donate a hair sample to be tested among those surveyed in a population at high risk for consuming adulterated drugs-electronic dance music (EDM) party attendees. METHODS:We surveyed 933 adults entering EDM parties in New York City in 2017. Hair donation response rates and reasons for refusal were examined from this cross-sectional study. RESULTS:A third (n = 312; 33.4%) provided a hair sample. Lack of interest (21.0%), lack of time (19.8%), not wanting a lock of hair cut (17.7%), and disinterest in having hair cut in public (13.8%) were the main reported reasons for refusal. 4.7% refused because they could not receive results. Past-year drug users were more likely to fear identification than non-users (p<.001). Asian participants were at lower odds of providing a hair sample (aOR = 0.53, 95% CI = 0.32-0.87), and those reporting past-year use of LSD (aOR = 1.62, 95% CI = 1.11-2.35), opioids (nonmedical; aOR = 1.93, 95% CI = 1.25-2.99), and/or methamphetamine (aOR = 3.43, 95% CI = 1.36-8.62) were at higher odds of providing a sample than non-users of these drugs. CONCLUSIONS:Only a third of participants provided a hair sample and we found individual-level differences regarding willingness to provide a sample. Factors contributing to refusal should be considered to increase response rates and generalizability of results.

BACKGROUND:Type 2 diabetes mellitus (DM) affects 9.4% of US adults and children, while another 33.9% of Americans are at risk of DM. Health care institutions face many barriers to systematically delivering the preventive care needed to decrease DM incidence. Community health workers (CHWs) may, as frontline public health workers bridging clinic and community, help overcome these challenges. This paper presents the protocol for a pragmatic, cluster-randomized trial integrating CHWs into two primary care clinics to support DM prevention for at-risk patients. METHODS:The trial will randomize 15 care teams, stratified by practice site (Bellevue Hospital and Manhattan VA), totaling 56 primary care physicians. The study cohort will consist of ~ 2000 patients who are 18-75 years of age, actively enrolled in a primary care team, able to speak English or Spanish, and have at least one glycosylated hemoglobin (HbA1c) result in the prediabetic range (5.7-6.4%) since 2012. Those with a current DM diagnosis or DM medication prescription (other than metformin) are ineligible. The intervention consists of four core activities - setting health goals, health education, activation for doctor's appointments, and referrals to DM prevention programs - adjustable according to the patient's needs and readiness. The primary outcome is DM incidence. Secondary outcomes include weight loss, HbA1C, and self-reported health behaviors. Clinical variables and health behaviors will be obtained through electronic medical records and surveys, respectively. Implementation outcomes, namely implementation fidelity and physicians' perspectives about CHW integration into the clinic, will be assessed using interviews and CHW activity logs and analyzed for the influence of moderating organizational factors. DISCUSSION/CONCLUSIONS:This is the first rigorous, pragmatic trial to test the effectiveness of integrating CHWs into primary care for DM prevention reaching a population-based sample. Our study's limitations include language-based eligibility and the use of HbA1c as a measure of DM risk. It will measure both clinical and implementation outcomes and potentially broaden the evidence base for CHWs and patient-centered medical home implementation. Further, the intervention's unique features, notably patient-level personalization and referral to existing programs, may offer a scalable model to benefit patients at-risk of DM. TRIAL REGISTRATION/BACKGROUND:Clinicaltrials.gov NCT03006666 (Received 12/27/2016).

BACKGROUND:Binge drinking among older adults has increased in the past decade. Binge drinking is associated with unintentional injuries, medical conditions, and lower health-related quality of life. No studies have characterized multimorbidity among older binge drinkers. METHODS:We examined past 30-day binge alcohol use and lifetime medical conditions among adults age ≥50 from the National Survey on Drug Use and Health from 2005 to 2014. Self-reported lifetime prevalence of 13 medical conditions and medical multimorbidity (≥2 diseases) among binge drinkers were compared to non-binge drinkers. Multivariable logistic regression models were used to examine correlates of binge alcohol use among older adults with medical multimorbidity. RESULTS:Among adults aged ≥50, 14.4% reported past-month binge drinking. Estimated prevalence of medical multimorbidity was lower (21.4%) among binge drinkers than non-binge drinkers (28.3%; p < 0.01). Binge drinkers were more likely to use tobacco and illegal drugs than non-binge drinkers (ps < 0.001). In the adjusted model, among older adults with multimorbidity, higher income (AOR = 1.44, p < 0.05), past-month tobacco use (AOR = 2.55, p < 0.001) and substance use disorder for illegal drugs (AOR = 1.80, p < 0.05) was associated with increased odds of binge alcohol use. CONCLUSION/CONCLUSIONS:The prevalence of multimorbidity was lower among current binge drinkers compared to non-binge drinkers, possibly because older adults in good health are apt to drink more than adults in poorer health. Current use of tobacco and substance use disorder were associated with an increased risk for binge drinking among older adults with multimorbidity. Binge drinking by older adults with multimorbidity may pose significant health risks especially with the concurrent use of other substances.

INTRODUCTION/BACKGROUND:Veterans with a mental health diagnosis have high rates of tobacco use but encounter low rates of treatment from providers. This study tested whether a proactive tobacco treatment approach increases treatment engagement and abstinence rates in Department of Veterans Affairs mental health patients. STUDY DESIGN/METHODS:RCT. SETTING/PARTICIPANTS/METHODS:The study was performed from 2013 to 2017 and analyses were conducted in 2017. Investigators used the electronic medical record at four Veterans Administration facilities to identify patients documented as current smokers and who had a mental health clinic visit in the past 12 months. INTERVENTION/METHODS:Patients were mailed an introductory letter and baseline survey. Survey respondents were enrolled and randomized to intervention (n=969) or control (n=969). Control participants received a list of usual Veterans Administration smoking services. Intervention participants received a motivational outreach call, multisession telephone counseling, and assistance with obtaining nicotine replacement therapy. MAIN OUTCOME MEASURES/METHODS:Participants completed surveys at baseline, 6 months, and 12 months after randomization. The primary outcome was self-reported 7-day abstinence from cigarettes at 12-month follow-up. Secondary outcomes included use of cessation treatment, self-reported 7-day abstinence at 6-month follow-up, and 6-month prolonged abstinence at 12-month follow-up. RESULTS:At 12 months, intervention participants were more likely to report using telephone counseling (19% vs 3%, OR=7.34, 95% CI=4.59, 11.74), nicotine replacement therapy (47% vs 35%, OR=1.63, 95% CI=1.31, 2.03), or both counseling and nicotine replacement therapy (16% vs 2%, OR=11.93, 95% CI=6.34, 22.47). Intervention participants were more likely to report 7-day abstinence (19% vs 14%, OR=1.50, 95% CI=1.12, 2.01) and prolonged 6-month abstinence (16% vs 9%, OR=1.87, 95% CI=1.34, 2.61). After adjusting for non-ignorable missingness at follow-up, the intervention effects on 7-day and prolonged abstinence remained significant (p<0.05). CONCLUSIONS:Proactive outreach was more effective than usual Veterans Administration care at increasing treatment engagement and long-term abstinence in mental health patients. TRIAL REGISTRATION/BACKGROUND:This study is registered at www.clinicaltrials.gov NCT01737281.

BACKGROUND:Although outcomes for patients with squamous cell carcinoma of the anus (SCCA) have improved, the gains in benefit may not be shared uniformly among patients of disparate socioeconomic status. In the current study, the authors investigated whether area-based median household income (MHI) is predictive of survival among patients with SCCA. METHODS:Patients diagnosed with SCCA from 2004 through 2013 in the Surveillance, Epidemiology, and End Results registry were included. Socioeconomic status was defined by census-tract MHI level and divided into quintiles. Multivariable Cox proportional hazards models and logistic regression were used to study predictors of survival and radiotherapy receipt. RESULTS:A total of 9550 cases of SCCA were included. The median age of the patients was 58 years, 63% were female, 85% were white, and 38% were married. In multivariable analyses, patients living in areas with lower MHI were found to have worse overall survival and cancer-specific survival (CSS) compared with those in the highest income areas. Mortality hazard ratios for lowest to highest income were 1.32 (95% confidence interval [95% CI], 1.18-1.49), 1.31 (95% CI, 1.16-1.48), 1.19 (95% CI, 1.06-1.34), and 1.16 (95% CI, 1.03-1.30). The hazard ratios for CSS similarly ranged from 1.34 to 1.22 for lowest to highest income. Older age, black race, male sex, unmarried marital status, an earlier year of diagnosis, higher tumor grade, and later American Joint Committee on Cancer stage of disease also were associated with worse CSS. Income was not found to be associated with the odds of initiating radiotherapy in multivariable analysis (odds ratio of 0.87 for lowest to highest income level; 95% CI, 0.63-1.20). CONCLUSIONS:MHI appears to independently predict CSS and overall survival in patients with SCCA. Black race was found to remain a predictor of SCCA survival despite controlling for income. Further study is needed to understand the mechanisms by which socioeconomic inequalities affect cancer care and outcomes. Cancer 2018. © 2018 American Cancer Society.