Faculty Bibliography

OBJECTIVE:There is limited research on metabolic abnormalities in psychotropic-naïve patients with serious mental illness (SMI). Our study examined metabolic conditions in a large, ethnically diverse sample of psychotropic-naïve and non-naïve adults with SMI at an urban public hospital. METHODS:In this cross-sectional study of 923 subjects, the prevalences of hyperglycemia meeting criteria for type 2 diabetes mellitus (T2DM) based on fasting plasma glucose and obesity defined by BMI and abdominal girth were compared across duration of psychotropic medication exposure. Multiple logistic regression models used hyperglycemia and obesity as dependent variables and age, sex, race/ethnicity, and years on psychotropics as independent variables. RESULTS:Psychotropic-naïve patients, including both schizophrenia and non-psychotic subgroups, showed an elevated prevalence of hyperglycemia meeting criteria for T2DM and a decreased prevalence of obesity compared to the general population. Obesity rates significantly increased for those on psychotropic medications more than 5 years, particularly for patients without psychosis (BMI: aOR = 5.23 CI = 1.44-19.07; abdominal girth: aOR = 6.40 CI = 1.98-20.69). Women had a significantly higher obesity rate than men (BMI: aOR = 1.63 CI = 1.17-2.28; abdominal girth: aOR = 3.86 CI = 2.75-5.44). Asians had twice the prevalence of hyperglycemia as whites (aOR = 2.29 CI = 1.43-3.67), despite having significantly less obesity (BMI: aOR = .39 CI = .20-.76; abdominal girth: aOR = .34 CI = .20-.60). Hispanics had a higher rate of obesity by BMI than whites (aOR = 1.91 CI = 1.22-2.99). CONCLUSIONS:This study showed disparities between obesity and T2DM in psychotropic-naïve patients with SMI, suggesting separate risk pathways for these two metabolic conditions.

PURPOSE/OBJECTIVE:We wanted to describe small, independent primary care practices' performance in meeting the Million Hearts ABCSs (aspirin use, blood pressure control, cholesterol management, and smoking screening and counseling), as well as on a composite measure that captured the extent to which multiple clinical targets are achieved for patients with a history of arteriosclerotic cardiovascular disease (ASCVD). We also explored relationships between practice characteristics and ABCS measures. METHODS:We conducted a cross-sectional, bivariate analysis using baseline data from 134 practices in New York City. ABCS data were extracted from practices' electronic health records and aggregated to the site level. Practice characteristics were obtained from surveys of clinicians and staff at each practice. RESULTS:= .011) than practices with multiple clinicians. CONCLUSION/CONCLUSIONS:Achieving targets for ABCS measures varied considerably across practices; however, small practices were meeting or exceeding Million Hearts goals (ie, 70% or greater). Practices were less likely to meet consistently clinical targets that apply to patients with a history of ASCVD risk factors. Greater emphasis is needed on providing support for small practices to address the complexity of managing patients with multiple risk factors for primary and secondary ASCVD.

BACKGROUND:The Mobile Insulin Titration Intervention (MITI) program helps patients with type 2 diabetes find their correct basal insulin dose without in-person care. Requiring only basic cell phone technology (text messages and phone calls), MITI is highly accessible to patients receiving care in safety-net settings. MITI was shown in a randomized controlled trial (RCT) to be efficacious at a New York City (NYC) safety-net clinic where patients often have challenges coming for in-person care. In 2016, MITI was implemented as usual care at Bellevue Hospital (the site of the original RCT) and at Gouverneur Health (a second NYC safety-net clinic) under 2 different staffing models. OBJECTIVE:This implementation study examined MITI's transition into real-world settings. To understand MITI's flexibility, generalizability, and acceptability among patients and providers, we evaluated whether MITI continued to produce positive outcomes in expanded underserved populations, outside of an RCT setting. METHODS:Patients enrolled in MITI received weekday text messages asking for their fasting blood glucose (FBG) values and a weekly titration call. The goal was for patients to reach their optimal insulin dose (OID), defined either as the dose of once-daily basal insulin required to achieve either an FBG of 80-130 mg/dL (4.4-7.2 mmol/L) or as the reaching of the maximum dose of 50 units. After 12 weeks, if OID was not reached, the patients were asked to return to the clinic for in-person care and titration. MITI program outcomes, clinical outcomes, process outcomes, and patient satisfaction were assessed. RESULTS:levels fell from 11.4% (101 mmol/mol) to 10.0% (86 mmol/mol), P<.001. Process outcomes show that 90.1% of MITI's text message prompts received a response, nurses connected with patients 81.9% of weeks to provide titration instructions, and 85% of attending physicians made at least one referral to the MITI program. Satisfaction surveys showed that most patients felt comfortable sharing information over text and felt the texts reminded them to take their insulin, check their sugar, and make healthy food choices. CONCLUSIONS:This implementation study showed MITI to have continued success after transitioning from an RCT program into real-world settings. MITI showed itself to be flexible and generalizable as it easily fits into a second site staffed by general medical clinic-registered nurses and remained acceptable to patients and staff who had high levels of engagement with the program.

OBJECTIVES: To estimate the impact of tobacco cessation on household spending on non-tobacco goods in the USA. METHODS: Using 2006-2015 Consumer Expenditure Survey data, 9130 tobacco-consuming households were followed for four quarters. Households were categorised during the fourth quarter as having: (1) recent tobacco cessation, (2) long-term cessation, (3) relapsed cessation or (4) no cessation. Generalised linear models were used to compare fourth quarter expenditures on alcohol, food at home, food away from home, housing, healthcare, transportation, entertainment and other goods between the no-cessation households and those with recent, long-term or relapsed cessation. The full sample was analysed, and then analysed by income quartile. RESULTS: In the full sample, households with long-term and recent cessation had lower spending on alcohol, food, entertainment and transportation (p<0.001). Recent cessation was further associated with reduced spending on food at home (p<0.001), whereas relapsed cessation was associated with higher spending on healthcare and food away from home (p<0.001). In the highest income quartile, long-term and recent cessations were associated with reduced alcohol spending only (p<0.001), whereas in the lowest income quartile, long-term and recent cessations were associated with lower spending on alcohol, food at home, transportation and entertainment (p<0.001). CONCLUSIONS: Households that quit tobacco spend less in areas that enable or complement their tobacco cessation, most of which may be motivated by financial strain. The most robust association between tobacco cessation and spending was the significantly lower spending on alcohol.

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.

Background: Veterans with a mental health diagnosis have high rates of tobacco use, but encounter low rates of treatment and referrals from providers and limited treatment approaches addressing their unique barriers to cessation. This study aimed to determine whether an intensive proactive tobacco treatment approach increases treatment engagement and long-term abstinence rates in Department of Veterans Affairs (VA) mental health patients compared to visit-based usual tobacco care. Methods: The study used a randomized controlled trial design. Investigators used the electronic medical record at four VA facilities to identify patients documented as current smokers and who had a mental health clinic visit in the past 12 months. Patients were sent an introductory letter and baseline survey. Survey respondents were randomized to intervention (n=969) or control (n=969). Control participants received a list of usual VA smoking services. Intervention participants received a motivational outreach call, multi-session telephone counseling, and assistance with obtaining nicotine replacement therapy (NRT). Participants completed telephone surveys at 6 and 12 months to assess use of treatment, 7-day abstinence and prolonged 6-month abstinence. The primary outcome was self-reported 7-day abstinence from smoking 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. Mailed saliva samples were collected to verify self-reported 7-day abstinence at 12 months. 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), NRT (47% vs 35%, OR=1.63, 95%CI=1.31-2.03) or both counseling and NRT (16% vs 2%, OR=11.93, 95%CI=6.34-22.47) compared to Control patients with access to usual care. Intervention participants were more likelyto 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<.05). Conclusions: Proactive tobacco treatment was more effective than usual VA care at increasing treatment engagement and long-term abstinence in mental health patients

Hospital patients with serious mental illness (SMI) have high rates of smoking. There are few post-discharge treatment models available for this population and limited research on their treatment uptake following discharge. This study is a secondary analysis of an RCT that compared multi-session intensive telephone counseling versus referral to state quitline counseling at two safety net hospitals in New York City. For this analysis, we selected all trial participants with a history of schizophrenia, schizoaffective disorder or bipolar disorder (N = 384) and used multivariable logistic regression to compare groups on self-reported 30-day abstinence at 6 months and to identify patient factors associated with use of tobacco treatment. Analyses found no significant group differences in abstinence 6 months (28% quitline vs. 29% intervention, p > 0.05), use of cessation medications (42% quitline vs. 47% intervention, p > 0.05) or receipt of at least one counseling call (47% quitline vs. 42% intervention, p > 0.05). Patients with hazardous drinking (p = 0.04) or perceived good health (p = 0.03) were less likely to use cessation medications. Homeless patients were less likely to use counseling (p = 0.02). Most patients did not use cessation treatment after discharge, and the intensive intervention did not improve abstinence rates over quitline referral. Interventions are needed to improve use of cessation treatment and long-term abstinence in patients with SMI.

BACKGROUND: In the Spring and Summer of 2016, a text-messaging intervention to titrate basal insulin in patients with type 2 diabetes and poor glycemic control was implemented at two safety net health care systems in New York City. The goal of the current study was to conduct a qualitative evaluation assessing barriers to, and facilitators of, implementation of the mobile insulin titration intervention (called "MITI"). METHODS: We conducted in-depth qualitative interviews with patients (N = 36) and physician, nursing and administrative staff (N = 19) at the two health care systems implementing MITI. Interviews were transcribed and coded by two study investigators using a codebook guided by the Consolidated Framework for Implementation Research and through iterative, consensus driven content analysis. RESULTS: Patients and staff perceived MITI as convenient and timesaving for patients, easy to use, and effective at achieving its clinical goals. Patients were comfortable sharing health information via text, and felt good about communicating with their health team remotely. Interviewees across stakeholder groups felt that MITI was helpful beyond insulin titration by reminding and motivating patients to engage in healthy behaviors and improving medication adherence. Staff felt MITI worked well with existing workflows and expressed a desire to see MITI expanded to other chronic conditions. Nurses responsible for weekly titration reported initial concerns over safety/liability, time required to deliver the program, difficulties reaching patients for titration calls and the need for ongoing support/training in using the online texting platform. Perceived barriers to MITI implementation reported by providers included perceived lack of patient cell phone access or texting capabilities and patient language barriers. There was also a theme that emerged across interviewees of an unmet need for additional diabetes management support among this population, beyond insulin support provided by MITI. The project team made several modifications to MITI operations in response to these findings. CONCLUSIONS: Patients and staff were overwhelmingly supportive of MITI and believed it had many benefits. Initial implementation of MITI should address nurse comfort, workload and training, and sites should provide ongoing support and training for nurses after implementation. Future research should explore options for integrating additional diabetes support for patients enrolled in MITI or after they are discharged from the program

STATEMENT OF PROBLEM OR QUESTION (ONE SENTENCE): T2D patients needing insulin adjustments require multiple clinic visits for titration, but face barriers (missed work, transportation costs, clinic co-pays) all of which disproportionately affect vulnerable populations. OBJECTIVES OF PROGRAM/INTERVENTION (NO MORE THAN THREE OBJECTIVES): MITI aims to be clinically efficacious, patientcentered, and highly accessible (only requires text messaging and phone calls). DESCRIPTION OF PROGRAM/INTERVENTION, INCLUDING ORGANIZATIONAL CONTEXT (E.G. INPATIENT VS. OUTPATIENT, PRACTICE OR COMMUNITY CHARACTERISTICS): MITI is an efficacious, patient-centered, accessible program that remotely guides T2D patients to their correct basal insulin dose (glargine, detemir). Eligible patients have T2D, an A1c >8%, a phone that can text, and need titration of basal insulin. Patients referred by their providers are enrolled on a secure website which sends a weekday text message asking 'What was your fasting blood sugar this morning?' Each day the MITI nurse checks the website for alarm values (extreme high or low values). Once a week, the MITI nurse calls patients and, using the MITI titration algorithm, advises them on dose adjustments. The goal of the program is to find the optimal basal insulin dose (OID), which is the dose that achieves a fasting blood sugar between 80 and 130 (or the maximal dose of 50 units). MITI lasts a maximum of 12 weeks. When the program ends, patients return to usual care. MEASURES OF SUCCESS (DISCUSS QUALITATIVE AND/OR QUANTITATIVE METRICS WHICH WILL BE USED TO EVALUATE PROGRAM/INTERVENTION): Using a single-group, quasiexperimental approach, we examined the proportion of patients reaching OID within 12 weeks, the mean number of days required to reach OID, and reductions in fasting glucose and A1c. We described participant response rates, staff time required to deliver the intervention, and patient time saved. Qualitative interviews were also conducted. FINDINGS TO DATE (IT IS NOT SUFFICIENT TOSTATE FINDINGS WILL BE DISCUSSED): Of the 71 participants who completed the program, 86% reached OID, 5.6% did not reach OID, and 8.5% terminated the program early. Those reaching OID did so in a mean of 21 (SD 21) days. Fasting glucose levels decreased from 209 (SD 77) mg/dl to 140 (SD 45), and mean A1c (for those with follow up labs thus far) decreased from 11.6% (SD 1.9) to 10.0% (SD 2.2). Ninety-one percent of text prompts received a response from the participant. Mean staff time required to deliver MITI was 16 min (SD 5) per participant per week, and patients reported a mean time saving of 150 (SD 74) min each time an in-person visit was averted. Qualitative interviews suggest that clinical staff perceived MITI to be a preferred alternative to clinic-based insulin titration, one that resulted in good care without interfering with clinic flow. Patients reported that the enrollment process was easy and that MITI motivated them to eat healthier food, take their insulin, and check their blood sugars. Because of MITI they reported feeling more connected to their medical team. KEYLESSONS FORDISSEMINATION(WHAT CANOTHERS TAKE AWAY FOR IMPLEMENTATION TO THEIR PRACTICE OR COMMUNITY?): MITI is a clinically efficacious, patient-centered and accessible program for the titration of basal insulin for T2D patients. By eliminating the need for in-person access, MITI proves especially helpful for vulnerable populations. Patients and staff found MITI to be convenient, time-saving, and motivating for patients