Faculty Bibliography

BACKGROUND:Tobacco remains a leading cause of preventable death in the U.S., responsible for more than 440,000 deaths each year. Approximately 10% of these deaths are attributable to exposure of non-smokers to secondhand smoke (SHS). Residents living in public multi-unit housing (MUH) are at excess risk for SHS exposure compared to the general population. On November 30, 2016, the U.S. Department of Housing and Urban Development (HUD) passed a rule requiring all public housing agencies to implement smoke-free housing (SFH) policies in their housing developments by July 30, 2018. METHODS:As part of a larger natural experiment study, we designed a protocol to evaluate indoor SHS levels before and after policy implementation through collection of repeat indoor air samples in non-smoking apartments and common areas of select high-rise NYCHA buildings subject to the HUD SFH rule, and also from socio-demographically matched private-sector high-rise control buildings not subject to the rule. A baseline telephone survey was conducted in all selected buildings to facilitate rapid recruitment into the longitudinal study and assess smoking prevalence, behaviors, and attitudes regarding the SFH policy prior to implementation. Data collection began in early 2018 and will continue through 2021. DISCUSSION/CONCLUSIONS:The baseline survey was completed by 559 NYCHA residents and 471 comparison building residents (response rates, 35, and 32%, respectively). Smoking prevalence was comparable between study arms (15.7% among NYCHA residents and 15.2% among comparison residents). The majority of residents reported supporting a building-wide smoke-free policy (63.0 and 59.9%, respectively). We enrolled 157 NYCHA and 118 comparison non-smoking households into the longitudinal air monitoring study and performed air monitoring in common areas. Follow up surveys and air monitoring in participant households occur every 6 months for 2.5 years. Capitalizing on the opportunity of this federal policy rollout, the large and diverse public housing population in NYC, and robust municipal data sources, this study offers a unique opportunity to evaluate the policy's direct impacts on SHS exposure. Methods in this protocol can inform similar SFH policy evaluations elsewhere.

BACKGROUND:Clinical decision support (CDS) has been shown to improve compliance with evidence-based care, but its impact is often diminished because of issues such as poor usability, insufficient integration into workflow, and alert fatigue. Noninterruptive CDS may be less subject to alert fatigue, but there has been little assessment of its usability. OBJECTIVE:This study aimed to study the usability of interruptive and noninterruptive versions of a CDS. METHODS:We conducted a usability study of a CDS tool that recommended prescribing an angiotensin-converting enzyme inhibitor for inpatients with heart failure. We developed 2 versions of the CDS: an interruptive alert triggered at order entry and a noninterruptive alert listed in the sidebar of the electronic health record screen. Inpatient providers were recruited and randomly assigned to use the interruptive alert followed by the noninterruptive alert or vice versa in a laboratory setting. We asked providers to "think aloud" while using the CDS and then conducted a brief semistructured interview about usability. We used a constant comparative analysis informed by the CDS Five Rights framework to analyze usability testing. RESULTS:A total of 12 providers participated in usability testing. Providers noted that the interruptive alert was readily noticed but generally impeded workflow. The noninterruptive alert was felt to be less annoying but had lower visibility, which might reduce engagement. Provider role seemed to influence preferences; for instance, some providers who had more global responsibility for patients seemed to prefer the noninterruptive alert, whereas more task-oriented providers generally preferred the interruptive alert. CONCLUSIONS:Providers expressed trade-offs between impeding workflow and improving visibility with interruptive and noninterruptive versions of a CDS. In addition, 2 potential approaches to effective CDS may include targeting alerts by provider role or supplementing a noninterruptive alert with an occasional, well-timed interruptive alert.

BACKGROUND:Treatment for opioid use disorder (OUD) is highly effective, yet it remains dramatically underutilized. Individuals with OUD have disproportionately high rates of hospitalization and low rates of addiction treatment. Hospital-based addiction consult services offer a potential solution by using multidisciplinary teams to evaluate patients, initiate medication for addiction treatment (MAT) in the hospital, and connect patients to post-discharge care. We are studying the effectiveness of an addiction consult model [Consult for Addiction Treatment and Care in Hospitals (CATCH)] as a strategy for engaging patients with OUD in treatment as the program rolls out in the largest municipal hospital system in the US. The primary aim is to evaluate the effectiveness of CATCH in increasing post-discharge initiation and engagement in MAT. Secondary aims are to assess treatment retention, frequency of acute care utilization and overdose deaths and their associated costs, and implementation outcomes. METHODS:A pragmatic trial at six hospitals, conducted in collaboration with the municipal hospital system and department of health, will be implemented to study the CATCH intervention. Guided by the RE-AIM evaluation framework, this hybrid effectiveness-implementation study (Type 1) focuses primarily on effectiveness and also measures implementation outcomes to inform the intervention's adoption and sustainability. A stepped-wedge cluster randomized trial design will determine the impact of CATCH on treatment outcomes in comparison to usual care for a control period, followed by a 12-month intervention period and a 6- to 18-month maintenance period at each hospital. A mixed methods approach will primarily utilize administrative data to measure outcomes, while interviews and focus groups with staff and patients will provide additional information on implementation fidelity and barriers to delivering MAT to patients with OUD. DISCUSSION/CONCLUSIONS:Because of their great potential to reduce the negative health and economic consequences of untreated OUD, addiction consult models are proliferating in response to the opioid epidemic, despite the absence of a strong evidence base. This study will provide the first known rigorous evaluation of an addiction consult model in a large multi-site trial and promises to generate knowledge that can rapidly transform practice and inform the potential for widespread dissemination of these services. TRIAL REGISTRATION/BACKGROUND:NCT03611335.

BACKGROUND:Patient and clinician stakeholders are inadequately engaged in key aspects of research, particularly regarding use of Big Data to study and improve patient-centered outcomes. Little is known about the attitudes, interests, and concerns of stakeholders regarding such data. RESEARCH DESIGN/METHODS:The New York City Clinical Data Research Network (NYC-CDRN), a collaboration of research, clinical, and community leaders built a deidentified dataset containing electronic health records from millions of New Yorkers. Guided by a patient-clinician advisory board, we developed a question guide to explore patient and clinician experiences and ideas about research using large datasets. Trained facilitators led discussions during preexisting patient, community, and clinician group meetings. The research team coded meeting notes and identified themes. RESULTS:Fully 272 individuals participated in 19 listening sessions (139 patients/advocates, 133 clinicians) at 6 medical centers with diverse NYC communities: 76% were female and 63% were nonwhite. Clinicians and patients agreed on all major themes including the central role of clinicians in introducing patients to research and the need for public campaigns to inform stakeholders about Big Data. Stakeholders were interested in using granular data to compare the care and clinical outcomes of their neighborhoods with others across NYC, but were also concerned that data could not truly be deidentified. CONCLUSIONS:Clinicians and patients agree on potential benefits of stakeholder-engaged Big Data research and provided suggestions for further research and building stakeholder research capacity. This evaluation demonstrated the potential of brief meetings with existing patient and clinical groups to explore barriers and facilitators to patient and clinician engagement.

Background: To assess residents' attitudes towards the United States (U.S.) Department of Housing and Urban Development's new smoke-free public housing policy, perceptions about barriers to policy implementation, and suggestions for optimizing implementation. Methods: In 2017, we conducted 10 focus groups among 91 residents (smokers and nonsmokers) living in New York City public housing. Results: Smokers and nonsmokers expressed skepticism about the public housing authority's capacity to enforce the policy due to widespread violations of the current smoke-free policy in common areas and pervasive use of marijuana in buildings. Most believed that resident engagement in the roll-out and providing smoking cessation services was important for compliance. Resident expressed concerns about evictions and worried that other building priorities (i.e., repairs, drug use) would be ignored with the focus now on smoke-free housing. Conclusions: Resident-endorsed strategies to optimize implementation effectiveness include improving the access to cessation services, ongoing resident engagement, education and communication to address misconceptions and concerns about enforcement, and placing smoke-free homes in a larger public housing authority healthy housing agenda.

The purpose of this study was to explore current tobacco use treatment (TUT) practice patterns, and attitudes and beliefs among Village Health Workers (VHWs) about expanding their role to include delivering smoking cessation interventions and the perceived barriers. We conducted a survey of 449 VHWs from 26 communes in Thai Nguyen province, Vietnam. We assessed TUT practice patterns including asking about tobacco use, advising smokers to quit, offering assistance (3As) and attitudes, self-efficacy, and norms related to TUT. Seventy two per cent of VHWs reported asking patients if they use tobacco, 78.6% offered advice to quit, and 41.4% offered cessation assistance to few or more patients in the past month. Self-efficacy was low, with 53.2% agreeing that they did not have the skills to counsel patients about smoking cessation. The most commonly reported barriers to offering TUT were a lack of training and perceived lack of patient interest. Greater awareness of their commune health centre's smoke-free policy and higher levels of self-efficacy were associated with screening and offering cessation assistance. VHWs support an expanded role in tobacco cessation, but require additional resources and training to increase their self-efficacy and skills to provide effective treatment.

Introduction/UNASSIGNED:Our team conducted a cluster randomized controlled trial (DUET) that compared the effectiveness of three theory-driven, implementation strategies on dental provider adherence to tobacco dependence treatment guidelines (TDT). In this paper we describe the process of adapting the implementation strategies to the local context of participating dental public health clinics in New York City. Methods/UNASSIGNED:Eighteen dental clinics were randomized to one of three study arms testing several implementation strategies: Current Best Practices (CBP) (i.e. staff training, clinical reminder system and Quitline referral system); CBP + Performance Feedback (PF) (i.e. feedback reports on provider delivery of TDT); and CBP + PF + Pay-for-Performance (i.e. financial incentives for provision of TDT). Through an iterative process, we used Stirman's modification framework to classify, code and analyze modifications made to the implementation strategies. Results/UNASSIGNED:We identified examples of six of Stirman's twelve content modification categories and two of the four context modification categories. Content modifications were classified as: tailoring, tweaking or refining (49.8%), adding elements (14.1%), departing from the intervention (9.3%), loosening structure (4.4%), lengthening and extending (4.4%) and substituting elements (4.4%). Context modifications were classified as those related to personnel (7.9%) and to the format/channel (8.8%) of the intervention delivery. Common factors associated with adaptations that arose during the intervention included staff changes, time constraints, changes in leadership preferences and functional limitations of to the Electronic Dental Record. Conclusions/UNASSIGNED:This study offers guidance on how to capture intervention adaptation in the context of a multi-level intervention aimed at implementing sustainable changes to optimize TDT in varying public health dental settings.

BACKGROUND:Homelessness and substance use often coexist, resulting in high morbidity. Emergency department (ED) patients have disproportionate rates of both homelessness and substance use, yet little research has examined the overlap of these issues in the ED setting. We aimed to characterize alcohol and drug use in a sample of homeless vs. non-homeless ED patients. METHODS:A random sample of urban hospital ED patients were invited to complete an interview regarding housing, substance use, and other health and social factors. We compared substance use characteristics among patients who did vs. did not report current literal (streets/shelter) homelessness. Additional analyses were performed using a broader definition of homelessness in the past 12-months. RESULTS:Patients who were currently homeless (n = 316, 13.7%) versus non-homeless (n = 1,993, 86.3%) had higher rates of past year unhealthy alcohol use (44.4% vs. 30.5%, p < .0001), any drug use (40.8% vs. 18.8%, p < .0001), heroin use (16.7% vs. 3.8%, p < .0001), prescription opioid use (12.5% vs. 4.4%, p < .0001), and lifetime opioid overdose (15.8% vs. 3.7%, p < .0001). In multivariable analyses, current homelessness remained significantly associated with unhealthy alcohol use, AUDIT scores among unhealthy alcohol users, any drug use, heroin use, and opioid overdose; past 12-month homelessness was additionally associated with DAST-10 scores among drug users and prescription opioid use. CONCLUSIONS:Patients experiencing homelessness have higher rates and greater severity of alcohol and drug use than other ED patients across a range of measures. These findings have implications for planning services for patients with concurrent substance use and housing problems.

BACKGROUND:Little is known about the prevalence and correlates of burnout among providers who work in small independent primary care practices (<5 providers). METHODS:We conducted a cross-sectional analysis by using data collected from 235 providers practicing in 174 small independent primary care practices in New York City. RESULTS:= .034). CONCLUSION/CONCLUSIONS:The burnout rate was relatively low among our sample of providers compared with previous surveys that focused primarily on larger practices. The independence and autonomy providers have in these small practices may provide some protection against symptoms of burnout. In addition, the relationship between adaptive reserve and lower rates of burnout point toward potential interventions for reducing burnout that include strengthening primary care practices' learning and development capacity.