Faculty Bibliography

BACKGROUND:Insulin titration is typically done face-to-face with a clinician; however, this can be a burden for patients due to logistical issues associated with in-person clinical care. The Mobile Insulin Titration Intervention (MITI) used basic cell phone technology including text messages and phone calls to help patients with diabetes find their optimal basal insulin dose (OID). OBJECTIVE:To evaluate sociodemographic and clinical correlates of reaching OID, text message response rate, and days needed to reach OID. METHODS:Primary care providers referred patients to MITI and nurses delivered the program. Three multivariable regression models quantified relationships between various correlates and primary outcomes. RESULTS:The sample included 113 patients from 2 ambulatory clinics, with a mean age of 50 years (SD = 10), 45% female, 79% Hispanic, 43% unemployed, and 46% uninsured. In regression models, baseline fasting blood glucose (FBG) was negatively associated with odds of reaching OID and 100% text responses, and positively associated with days to reach OID, p < .05). CONCLUSIONS:Patients with higher baseline FBG levels were less successful across outcomes and may need additional supports in future mHealth diabetes programs. PRACTICAL IMPLICATIONS/CONCLUSIONS:Basic cell phone technology can be used to adjust patients' insulin remotely, thereby reducing logistical barriers to care.

Objectives: Tobacco use may be related to financial strain in people with depression. This study explored the relationship among tobacco expenditures, financial distress, and smoking-induced deprivation (SID) in smokers with and without depression. Methods: Adult tobacco users in the United States (N = 234) completed a survey assessing depression (PHQ-8≥10), sociodemographics, tobacco use and spending, financial satisfaction and distress, and SID. Regression models controlling for income compared outcomes between participants with (N = 96) and without (N = 138) depression. Results: Participants with depression were 4 times more likely to report SID (32% vs 8%, p = .00). Smokers with depression had lower financial satisfaction, greater worry about being able to meet monthly living expenses, higher frequency of being unable to afford a leisure activity, higher frequency living paycheck to paycheck, and lower confidence in finding money for an emergency (p < .01). In smokers with depression, higher tobacco expenditures were independently associated with greater odds of SID and higher levels of financial distress (p < .01). Conclusions: About one-third of smokers with depression forego essentials to pay for tobacco. Tobacco interventions may alleviate financial strain in people with depression.

Background/UNASSIGNED:Many tobacco dependent cancer survivors continue to smoke after diagnosis and treatment. This study investigated the extent to which hospital-based cancer registries could be used to identify smokers in order to offer them assistance in quitting. The concordance of tobacco use coded in the registry was compared with tobacco use as coded in the accompanying Electronic Health Records (EHRs). Methods/UNASSIGNED:We gathered data from three hospital-based cancer registries in New York City during June 2014 to December 2016. For each patient identified as a current combustible tobacco user in the cancer registries, we abstracted tobacco use data from their EHR to independently code and corroborate smoking status. We calculated the proportion of current smokers, former smokers, and never smokers as indicated in the EHR for the hospitals, cancer site, cancer stage, and sex. We used a logistic regression model to estimate the log odds of the registry-based smoking status correctly predicting the EHR-based smoking status. Results/UNASSIGNED:Agreement in current smoking status between the registry-based smoking status and the EHR-based smoking status was 65%, 71%, and 90% at the three participating hospitals. Logistic regression results indicated that agreement in smoking status between the registry and the EHRs varied by hospital, cancer type, and stage, but not by age and sex. Conclusions/UNASSIGNED:The utility of using tobacco use data in cancer registries for population-based tobacco treatment interventions is dependent on multiple factors including accurate entry into EHR systems, updated data, and consistent smoking status definitions and registry coding protocols. Our study found that accuracy varied across the three hospitals and may not be able to inform interventions at these hospitals at this time. Several changes may be needed to improve the coding of tobacco use status in EHRs and registries.

Background/UNASSIGNED:Tobacco spending may exacerbate financial hardship in low-income populations by using funds that could go toward essentials. This study examined post-quit spending plans among low-income smokers and whether financial hardship was positively associated with motivation to quit in the sample. Methods/UNASSIGNED:= 410). Linear regression was used to examine the relationship between financial distress, food insecurity, smoking-induced deprivation (SID) and motivation to quit (measured on a 0-10 scale). We performed summative content analyses of open-ended survey questions to identify the most common plans among participants with and without SID for how to use their tobacco money after quitting. Results/UNASSIGNED:The top three spending plans among participants with and without SID were travel, clothing and savings. There were three needs-based spending plans unique to a small number of participants with SID: housing, health care and education. Conclusions/UNASSIGNED:Financial distress and food insecurity did not enhance overall motivation to quit, while smokers with SID were less motivated to quit. Most low-income smokers, including those with SID, did not plan to use their tobacco money on household essentials after quitting.

Introduction: Veterans with mental health disorders smoke at high rates, but encounter low rates of tobacco treatment. We sought to understand barriers and facilitators to treating tobacco use in VA mental health clinics. Methods: This qualitative study was part of a trial evaluating a telephone care coordination program for smokers using mental health services at 6 VA facilities. We conducted semi-structured interviews with 14 staff: 12 mental health clinic staff working at the parent study's intervention sites (n=6 psychiatrists, 3 psychologists, 2 social workers, 1 NP), as well as one psychiatrist and one psychologist on the VA's national tobacco advisory committee. Interviews were transcribed and inductively coded to identify themes. Results: Five "barriers" themes emerged: 1) competing priorities, 2) patient challenges/resistance, 3) complex staffing/challenging cross-discipline coordination, 4) mixed perceptions about whether tobacco is a mental health care responsibility, and 5) limited staff training/comfort in treating tobacco. Five "facilitators" themes emerged: 1) reminding mental health staff about tobacco, 2) staff belief in the importance of addressing tobacco, 3) designating a cessation medication prescriber, 4) linking tobacco to mental health outcomes and norms, and 5) limiting mental health staff burden. Conclusions: VA mental health staff struggle with knowing that tobacco use is important, but they face competing priorities, encounter patient resistance, are conflicted on their role in addressing tobacco, and lack tobacco training. They suggested strategies at multiple levels that would help overcome those barriers that can be used to design interventions that improve tobacco treatment delivery for mental health patients. IMPLICATIONS: This study builds upon the existing literature on the high rates of smoking, but low rates of treatment, in people with mental health diagnoses. This study is one of the few qualitative evaluations of mental health clinic staff perceptions of barriers and facilitators to treating tobacco. The study results provide a multi-level framework for developing strategies to improve the implementation of tobacco treatment programs in mental health clinics.

OBJECTIVES: The current study sought to characterise the tobacco retail environment of supportive housing facilities for persons with mental health (MH) conditions in New York City (NYC) and to estimate the potential impact of a tobacco retail ban near public schools on the retail environment of MH housing in NYC. METHODS: Texas A&M Geocoding Services was used to geocode the addresses of housing programmes for patients with MH conditions, non-MH residences, public schools and tobacco retailers in NYC. ESRI ArcMap was used to calculate the number of tobacco retailers within a 500-foot radius around each housing programme and school address point, and the Euclidean distance to the nearest retailer. Generalised linear models were used to compare retail counts and distance between MH and non-MH residences. RESULTS: The mean number of tobacco retailers within 500 feet of an MH housing programme was 2.9 (SD=2.3) and the mean distance to nearest tobacco retailer was 370.6 feet (SD=350.7). MH residences had more retailers within 500 feet and a shorter distance to the nearest retailer compared with non-MH residences in Brooklyn, the Bronx and Staten Island (p<0.001). Banning tobacco licences within 350, 500 or 1000 feet of a school would significantly improve the tobacco retail environment of MH housing programmes and reduce disparities between MH and non-MH residences in some boroughs. CONCLUSIONS: People with MH conditions residing in supportive housing in NYC encounter a heavy tobacco retail environment in close proximity to their home, and in some boroughs, one worse than non-MH residences. Implementing a ban on tobacco retail near public schools would improve the tobacco retail environment of MH housing programmes in NYC.

Persons with mental health diagnoses use tobacco at alarming rates, yet misperceptions remain about the effect of quitting on mental health outcomes. This article examines the relationship between tobacco cessation and changes in severity of mental illness. Participants were N = 577 veterans with a history of mental health treatment enrolled in a tobacco cessation study. The effects of abstinence and time on Behavior and Symptom Identification Scale-24 summary scores and subscales were examined. Abstinence at both 2 and 6 months post-baseline was related (p < .0001) to lower Behavior and Symptom Identification Scale-24 summary scores and improvement on three Behavior and Symptom Identification Scale-24 subscales. Providers should recommend and provide tobacco treatment to all mental health patients to improve their physical and mental health functioning.

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.