Faculty Bibliography

BACKGROUND: The Veterans Health Administration (VA) is investing considerable resources into providing remote management care to patients for disease prevention and management. Remote management includes online patient portals, e-mails between patients and providers, follow-up phone calls, and home health devices to monitor health status. However, little is known about patients' attitudes and preferences for this type of care. This qualitative study was conducted to better understand patient preferences for receiving remote care. METHODS: Ten focus groups were held comprising 77 patients with hypertension or tobacco use history at two VA medical centers. Discussion questions focused on experience with current VA remote management efforts and preferences for receiving additional care between outpatient visits. RESULTS: Most participants were receptive to remote management for referrals, appointment reminders, resource information, and motivational and emotional support between visits, but described challenges with some technological tools. Participants reported that remote management should be personalized and tailored to individual needs. They expressed preferences for frequency, scope, continuity of provider, and mode of communication between visits. Most participants were open to nonclinicians contacting them as long as they had direct connection to their medical team. Some participants expressed a preference for a licensed medical professional. All groups raised concerns around confidentiality and privacy of healthcare information. Female Veterans expressed a desire for gender-sensitive care and an interest in complementary and alternative medicine. CONCLUSIONS: The findings and specific recommendations from this study can improve existing remote management programs and inform the design of future efforts.

BACKGROUND:Obesity is a worldwide epidemic, and its prevalence is higher among Veterans in the United States. Based on our prior research, primary care teams at a Veterans Affairs (VA) hospital do not feel well-equipped to deliver effective weight management counseling and often lack sufficient time. Further, effective and intensive lifestyle-based weight management programs (e.g. VA MOVE! program) are underutilized despite implementation of systematic screening and referral at all VA sites. The 5As behavior change model (Assess, Advise, Agree, Assist, Arrange) is endorsed by the United States Preventive Service Task Force for use in counseling patients about weight management in primary care and reimbursed by Medicare. In this paper, we describe the iterative development of a technology-assisted intervention designed to provide primary care-based 5As counseling within Patient-Centered Medical Homes without overburdening providers/healthcare teams. METHODS:Thematic analyses of prior formative work (focus groups with patients [n = 54] and key informant interviews with staff [n = 25]) helped to create a technology-assisted, health coaching intervention called Goals for Eating and Moving (GEM). To further develop the intervention, we then conducted two rounds of testing with previous formative study participants (n = 5 for Round 1, n = 5 for Round 2). Each session included usability testing of prototypes of the online GEM tool, pilot testing of 5As counseling by a Health Coach, and a post-session open-ended interview. RESULTS:Three main themes emerged from usability data analyses: participants' emotional responses, tool language, and health literacy. Findings from both rounds of usability testing, pilot testing, as well as the open-ended interview data, were used to finalize protocols for the full intervention in the clinic setting to be conducted with Version 3 of the GEM tool. CONCLUSIONS:The use of qualitative research methods and user-centered design approaches enabled timely detection of salient issues to make iterative improvements to the intervention. Future studies will determine whether this intervention can increase enrollment in intensive weight management programs and promote clinically meaningful weight loss in both Veterans and in other patient populations and health systems.

BACKGROUND:The United Arab Emirates (UAE) is faced with a rapidly increasing burden of non-communicable diseases including obesity, diabetes, and cardiovascular disease. The UAE Healthy Future study is a prospective cohort designed to identify associations between risk factors and these diseases amongst Emiratis. The study will enroll 20,000 UAE nationals aged ≥18 years. Environmental and genetic risk factors will be characterized and participants will be followed for future disease events. As this was the first time a prospective cohort study was being planned in the UAE, a pilot study was conducted in 2015 with the primary aim of establishing the feasibility of conducting the study. Other objectives were to evaluate the implementation of the main study protocols, and to build adequate capacity to conduct advanced clinical laboratory analyses. METHODS:Seven hundred sixty nine UAE nationals aged ≥18 years were invited to participate voluntarily in the pilot study. Participants signed an informed consent, completed a detailed questionnaire, provided random blood, urine, and mouthwash samples and were assessed for a series of clinical measures. All specimens were transported to the New York University Abu Dhabi laboratories where samples were processed and analyzed for routine chemistry and hematology. Plasma, serum, and a small whole blood sample for DNA extraction were aliquoted and stored at -80 °C for future analyses. RESULTS:Overall, 517 Emirati men and women agreed to participate (68% response rate). Of the total participants, 495 (95.0%), 430 (82.2%), and 492 (94.4%), completed the questionnaire, physical measurements, and provided biological samples, respectively. CONCLUSIONS:The pilot study demonstrated the feasibility of recruitment and completion of the study protocols for the first large-scale cohort study designed to identify emerging risk factors for the major non-communicable diseases in the region.

OBJECTIVES: We conducted two parallel studies evaluating the effectiveness of proactive and reactive engagement approaches to telephone treatment for smoking cessation. METHODS: Patients who smoked and were interested in quitting were referred to this study and were eligible if they were current smokers and had an address and a telephone number. The data were collected at 35 Department of Veterans Affairs (VA) sites, part of four VA medical centres in both California and Nevada. In study 1, participants received multisession counselling from the California Smokers' Helpline (quitline). In study 2, they received self-help materials only. Patients were randomly assigned by week to either proactive or reactive engagement, and primary care staff were blind to this assignment. Providers gave brief advice and referred them via the electronic health record to a tobacco co-ordinator. All patients were offered cessation medications. OUTCOME: Using complete case analysis, in study 1 (quitline), patients in the proactive condition were more likely than those in the reactive condition to report abstinence at 6 months (21.0% vs 16.4%, p=0.03). No difference was found between conditions in study 2 (self-help) (16.9% vs 16.5%, p=0.88). Proactive outreach resulted in increased use of cessation medications in both the quitline (70.1% vs 57.6%, p<0.0001) and the self-help studies (74.5% vs 48.2%, p<0.0001). CONCLUSION: Proactive outreach with quitline intervention was associated with greater long-term abstinence. Both studies resulted in high rates of medication use. Sites should use a proactive outreach approach and provide counselling whenever possible. TRIAL REGISTRATION NUMBER: NCT00123682.

INTRODUCTION: Individuals with (vs. without) mental illness use tobacco at higher rates and have more difficulty quitting. Treatment models for smokers with mental illness are needed. METHODS: This secondary analysis of the Victory Over Tobacco study [a pragmatic randomized clinical trial (N=5123) conducted in 2009-2011 of Proactive Care (proactive outreach plus connection to smoking cessation services) vs. Usual Care] tests the effectiveness of treatment assignment in participants with and without a mental health diagnosis on population-level, 6month prolonged abstinence at one year follow-up. RESULTS: Analyses conducted in 2015-6 found that there was no interaction between treatment group and mental health group on abstinence (F(1,3300=1.12, p=0.29)). Analyses stratified by mental health group showed that those without mental illness, assigned to Proactive Care, had a significantly higher population-level abstinence rate than those assigned to Usual Care (OR=1.40, 95% CI=1.17-1.67); in those with mental illness, assignment to Proactive Care produced a non-significant increase in abstinence compared to Usual Care (OR=1.18, 95% CI=0.98-1.41). Those with mental illness reported more medical visits, cessation advice and treatment (p<0.001), similar levels of abstinence motivation (p>0.05), but lower abstinence self-efficacy (p<0.001). CONCLUSIONS: Those with a mental health diagnosis benefitted less from proactive outreach regarding tobacco use. VA primary care patients with mental illness may not need additional outreach because they are connected to cessation resources during medical appointments. This group may also require more intensive cessation interventions targeting self-efficacy to improve cessation rates. Clinicaltrials.gov registration # NCT00608426.

INTRODUCTION/BACKGROUND:Self-reported tobacco use in the United Arab Emirates is among the highest in the region. Use of tobacco products other than cigarettes is widespread, but little is known about specific behavior use patterns. There have been no studies that have biochemically verified smoking status. METHODS:The UAE Healthy Future Study (UAEHFS) seeks to understand the causes of non-communicable diseases through a 20,000-person cohort study. During the study pilot, 517 Emirati nationals were recruited to complete a questionnaire, provide clinical measurements and biological samples. Complete smoking data were available for 428 participants. Validation of smoking status via cotinine testing was conducted based on complete questionnaire data and matching urine samples for 399 participants, using a cut-off of 200ng/ml to indicate active smoking status. RESULTS:Self-reported tobacco use was 36% among men and 3% among women in the sample. However, biochemical verification of smoking status revealed that 42% men and 9% of women were positive for cotinine indicating possible recent tobacco use. Dual and poly-use of tobacco products was fairly common with 32% and 6% of the sample reporting respectively. CONCLUSIONS:This is the first study in the region to biochemically verify tobacco use self-report data. Tobacco use in this study population was found to be higher than previously thought, especially among women. Misclassification of smoking status was more common than expected. Poly-tobacco use was also very common. Additional studies are needed to understand tobacco use behaviors and the extent to which people may be exposed to passive tobacco smoke. IMPLICATIONS/CONCLUSIONS:This study is the first in the region to biochemically verify self-reported smoking status.

United States Veterans are at excess risk for type 2 diabetes, but population differentials in risk have not been characterized. We determined risk of type 2 diabetes in relation to prediabetes and dyslipidemic profiles in Veterans at the VA New York Harbor (VA NYHHS) during 2004-2014. Prediabetes was based on American Diabetes Association hemoglobin A1c (HbA1c) testing cut-points, one of several possible criteria used to define prediabetes. We evaluated transition to type 2 diabetes in 4,297 normoglycemic Veterans and 7,060 Veterans with prediabetes. Cox proportional hazards regression was used to relate HbA1c levels, lipid profiles, demographic, anthropometric and comorbid cardiovascular factors to incident diabetes (Hazard Ratio [HR] and 95% confidence intervals). Compared to normoglycemic Veterans (HbA1c: 5.0-5.6%; 31-38 mmol/mol), risks for diabetes were >2-fold in the moderate prediabetes risk group (HbA1c: 5.7-5.9%; 39-41 mmol/mol) (HR 2.37 [1.98-2.85]) and >5-fold in the high risk prediabetes group (HbA1c: 6.0-6.4%; 42-46 mmol/mol) (HR 5.59 [4.75-6.58]). Risks for diabetes were increased with elevated VLDL (≥40mg/dl; HR 1.31 [1.09-1.58]) and TG/HDL (≥1.5mg/dl; HR 1.34 [1.12-1.59]), and decreased with elevated HDL (≥35mg/dl; HR 0.80 [0.67-0.96]). Transition to diabetes in Veterans was related in age-stratified risk score analyses to HbA1c, VLDL, HDL and TG/HDL, BMI, hypertension and race, with 5-year risk differentials of 62% for the lowest (5-year risk, 13.5%) vs. the highest quartile (5-year risk, 21.9%) of the risk score. This investigation identified substantial differentials in risk of diabetes in Veterans, based on a readily-derived risk score suitable for risk stratification for type 2 diabetes prevention.