Faculty Bibliography

The percentage of adults in the United States reporting current marijuana use has more than doubled, from 4 to 9% between 2002 and 2018, suggesting that exposure to secondhand marijuana smoke (SHMS) has probably increased. Few studies have characterized the extent to which residents experience SHMS, particularly those living in multi-unit housing. It remains unknown how recently-implemented smoke-free housing policies (SFH) targeting cigarette smoke in public housing authorities (PHAs) will affect SHMS exposure. We sought to characterize prevalence of self-reported SHMS exposure among residents living in two different subsidized housing settings prior to SFH policy implementation in PHAs: New York City Housing Authority (NYCHA) buildings and private sector buildings where most residents receive Section 8 subsidy vouchers (herein 'Section 8' buildings). Residents were recruited from 21 purposefully-selected buildings: 10 NYCHA and 11 Section 8 buildings (> 15 floors). Survey responses were collected during April-July 2018 for NYCHA residents (n = 559) and August-November 2018 for Section 8 residents (n = 471). Of 4628 eligible residents, 1030 participated (response rates, 35% NYCHA, 32% Section 8). Overall, two-thirds of residents reported smelling marijuana smoke (67%) in their home over the past year, higher than reports of smelling cigarette smoke (60%). Smoking status and smelling SHS were both strong predictors of smelling SHMS (p < 0.05). Nearly two thirds of residents perceived smoking marijuana and smelling SHMS as harmful to health. Our findings suggest that, immediately prior to SFH rule implementation in PHAs, SHMS was pervasive in low-income multi-unit housing, suggesting SFH policies should expand to cover marijuana use.

INTRODUCTION/BACKGROUND:Practice facilitation is a promising practice transformation strategy, but further examination of its effectiveness in improving adoption of guidelines for multiple cardiovascular disease risk factors is needed. The objective of the study is to determine whether practice facilitation is effective in increasing the proportion of patients meeting the Million Hearts ABCS outcomes: (A) aspirin when indicated, (B) blood pressure control, (C) cholesterol management, and (S) smoking screening and cessation intervention. DESIGN/METHODS:The study used a stepped-wedge cluster RCT design with 4 intervention waves. Data were extracted for 13 quarters between January 1, 2015 and March 31, 2018, which encompassed the control, intervention, and follow-up periods for all waves, and analyzed in 2019. SETTING/PARTICIPANTS/METHODS:A total of 257 small independent primary care practices in New York City were randomized into 1 of 4 waves. INTERVENTION/METHODS:The intervention consisted of practice facilitators conducting at least 13 practice visits over 1 year, focused on capacity building and implementing system and workflow changes to meet cardiovascular disease care guidelines. MAIN OUTCOME MEASURES/METHODS:The main outcomes were the Million Hearts' ABCS measures. Two additional measures were created: (1) proportion of tobacco users who received a cessation intervention (smokers counseled) and (2) a composite measure that assessed the proportion of patients meeting treatment targets for A, B, and C (ABC composite). RESULTS:The S measure improved when comparing follow-up with the control period (incidence rate ratio=1.152, 95% CI=1.072, 1.238, p<0.001) and when comparing follow-up with intervention (incidence rate ratio=1.060, 95% CI=1.013, 1.109, p=0.007). Smokers counseled improved when comparing the intervention period with control (incidence rate ratio=1.121, 95% CI=1.037, 1.211, p=0.002). CONCLUSIONS:Increasing the impact of practice facilitation programs that target multiple risk factors may require a longer, more intense intervention and greater attention to external policy and practice context. TRIAL REGISTRATION/BACKGROUND:This study is registered at www.clinicaltrials.gov NCT02646488.

BACKGROUND:Despite the large body of literature evaluating interventions to improve hypertension management, few studies have addressed seasonal variation in blood pressure (BP) control. This underreported phenomenon has implications for interpreting study findings and informing clinical care. We share a methodology that accounts for BP seasonality, presented through a case study - HealthyHearts NYC, an intervention aimed at increasing adherence to the Million Hearts BP control evidence-based guidelines in primary care practices. METHODS:We used a randomized stepped-wedge design (n = 257 practices). Each intervention included 13 visits from practice facilitators trained in improving practice-level BP control over 12 months. Two models were used to assess the intervention effect-one that did not account for seasonality (Model 1) and one that did (Model 2). Model 2 was a re-specification of Model 1 to include our proposed two fixed-effects terms to address BP seasonality. RESULTS:Model 1 showed a significant negative association between the intervention and BP control (IRR=0.98, 95% CI=0.96-0.99, p=<.05). In contrast, Model 2, which did address seasonality, showed no intervention effect on BP control (IRR = 0.99, 95% CI=0.97-1.01, p=.19). CONCLUSIONS:These findings reveal that analyses that do not account for BP seasonality may not present an accurate picture of intervention effects. In our case study, accounting for BP seasonality turned a negative association into a null association. We recommend that when evaluating BP control, studies compare outcome measures across similar seasons and that the measurement period last long enough to account for seasonal effects. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT02646488.

BACKGROUND:Practice facilitation is an implementation strategy used to build practice capacity and support practice changes to improve health care outcomes. Yet, few studies have investigated how practice facilitation strategies are tailored to different primary care contexts. OBJECTIVE:To identify contextual factors that drive facilitators' strategies to meet practice improvement goals, and how these strategies are tailored to practice context. DESIGN/METHODS:Semi-structured, qualitative interviews analyzed using inductive (open coding) and deductive (thematic) approaches. This study was conducted as part of a larger study, HealthyHearts New York City, which evaluated the impact of practice facilitation on adoption of cardiovascular disease prevention and treatment guidelines. PARTICIPANTS/METHODS:15 facilitators working in two practice contexts: small independent practices (SIPs) and Federally Qualified Health Centers (FQHCs). MAIN MEASURES/METHODS:Strategies facilitators use to support and promote practice changes and contextual factors that impact this approach. KEY RESULTS/RESULTS:Contextual factors were described similarly across settings and included the policy environment, patient needs, site characteristics, leadership engagement, and competing priorities. We identified four facilitation strategies used to tailor to contextual factors and support practice change: (a) remain flexible to align with practice and organizational priorities; (b) build relationships; (c) provide value through information technology expertise; and (d) build capacity and create efficiencies. Facilitators in SIPs and FQHCs described using the same strategies, often in combination, but tailored to their specific contexts. CONCLUSIONS:Despite significant infrastructure and resource differences between SIPs and FQHCs, the contextual factors that influenced the facilitator's change process and the strategies used to address those factors were remarkably similar. The findings emphasize that facilitators require multidisciplinary skills to support sustainable practice improvement in the context of varying complex health care delivery settings.

AIM/OBJECTIVE:To identify barriers to implementing the World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) Article 14 guidelines on tobacco dependence treatment (TDT). DESIGN/METHODS:Cross-sectional survey conducted from December 2014 to July 2015 to assess implementation of Article 14 recommendations. SETTING AND PARTICIPANTS/METHODS:Survey respondents (n = 127 countries) who completed an open-ended question on the 26-item survey. MEASUREMENTS/METHODS:The open-ended question asked the following: 'In your opinion, what are the main barriers or challenges to developing further tobacco dependence treatment in your country?'. We conducted thematic analysis of the responses. FINDINGS/RESULTS:The most frequently reported barriers included a lack of health-care system infrastructure (n = 86) (e.g. treatment not integrated into primary care, lack of health-care worker training), low political priority (n = 66) and lack of funding (n = 51). The absence of strategic plans and national guidelines for Article 14 implementation emerged as subthemes of political priority. Also described as barriers were negative provider attitudes towards offering offer TDT (n = 11), policymakers' lack of awareness about the effectiveness and affordability of TDT (n = 5), public norms supporting tobacco use (n = 11), a lack of health-care leadership and expertise in the area of TDT (n = 6) and a lack of grassroots and multi-sector networks supporting policy implementation (n = 8). The analysis captured patterns of co-occurring themes that linked, for example, low levels of political support with a lack of funding necessary to develop health-care infrastructure and capacity to implement Article 14. CONCLUSION/CONCLUSIONS:Important barriers to implementing the Framework Convention on Tobacco Control Article 14 guidelines include lack of a health-care system infrastructure, low political priority and lack of funding.

The trend of e-cigarette use among teens is ever increasing. Here we show the dysbiotic oral microbial ecology in e-cigarette users influencing the local host immune environment compared with non-smoker controls and cigarette smokers. Using 16S rRNA high-throughput sequencing, we evaluated 119 human participants, 40 in each of the three cohorts, and found significantly altered beta-diversity in e-cigarette users (p = 0.006) when compared with never smokers or tobacco cigarette smokers. The abundance of Porphyromonas and Veillonella (p = 0.008) was higher among vapers. Interleukin (IL)-6 and IL-1β were highly elevated in e-cigarette users when compared with non-users. Epithelial cell-exposed e-cigarette aerosols were more susceptible for infection. In vitro infection model of premalignant Leuk-1 and malignant cell lines exposed to e-cigarette aerosol and challenged by Porphyromonas gingivalis and Fusobacterium nucleatum resulted in elevated inflammatory response. Our findings for the first time demonstrate that e-cigarette users are more prone to infection.

Mobile technology has created the opportunity for health systems to provide low cost tobacco cessation assistance to patients. The goal of the present study was to examine the feasibility and effectiveness of an intervention (Text2Connect) that uses text messages to offer proactive connection to the New York State Smokers' Quitline. The electronic health record at two urban health systems was queried for patients who were current smokers and who had an outpatient visit between March 2015 and February 2016. Smokers (N = 4000) were sent an informational letter. Those who did not opt out (N = 3719) were randomized to one of 6 message sequences in order to examine the effect of theoretically informed message frames on response rates. Participants were sent a series of text messages at baseline and at 1 month and were asked to reply in order to be contacted by the state quitline (QL). After removing 1403 nonworking numbers, texts were sent to 2316 patients, and 10.0% (205/2060) responded with a QL request. Almost one quarter (23.6%, 486/2060) replied STOP and 66.4% (1369/2060) never responded. QL request rates were significantly higher when response efficacy messages were not used (p < .001). There were no differences by message framing on STOP requests (p > .05). The Text2Connect intervention was well accepted with a minority opting out. A 10% QL response rate is noteworthy given that only 5-7 brief outreach text messages were used. Results indicate that simple self-efficacy-focused messaging is most effective at supporting response rates.

OBJECTIVE:HealthyHearts NYC was a stepped wedge randomized control trial that tested the effectiveness of practice facilitation on the adoption of cardiovascular disease guidelines in small primary care practices. The objective of this study was to identify was to identify attributes of small practices that signaled they would perform well in a practice facilitation intervention implementation. METHODS:A mixed methods multiple-case study design was used. Six small practices were selected representing 3 variations in meeting the practice-level benchmark of >70% of hypertensive patients having controlled blood pressure. Inductive and deductive approaches were used to identify themes and assign case ratings. Cross-case rating comparison was used to identify attributes of high performing practices. RESULTS:Our first key finding is that the high-performing and improved practices in our study looked and acted similarly during the intervention implementation. The second key finding is that 3 attributes emerged in our analysis of determinants of high performance in small practices: (1) advanced use of the EHR; (2) dedicated resources and commitment to quality improvement; and (3) actively engaged lead clinician and office manager. CONCLUSIONS:These attributes may be important determinants of high performance, indicating not only a small practice's capability to engage in an intervention but possibly also its readiness to change. We recommend developing tools to assess readiness to change, specifically for small primary care practices, which may help external agents, like practice facilitators, better translate intervention implementations to context.

[This corrects the article DOI: 10.1186/s43058-020-00027-3.].

PURPOSE Effective strategies are needed to increase the implementation and sustainability of evidence-based tobacco dependence treatment (TDT) in public health systems in low- and middle-income countries. Our cluster randomized controlled trial (VQuit) found that a multicomponent implementation strategy was effective in increasing provider adherence to TDT guidelines in community health centers (CHCs) in Vietnam. In this paper, we present findings from a postimplementation qualitative assessment of factors that influence implementation effectiveness and program sustainability. METHODS We conducted semistructured qualitative interviews (N = 52) with 13 CHC medical directors (ie, physicians), 25 CHC health care providers, and 14 village health workers (VHWs) in 13 study sites. Interviews were transcribed and translated into English. RESULTS Facilitators of implementation effectiveness included training that increased confidence and skill, satisfaction with point-of-service tools, increasing patient demand for TDT, and, for the intervention arm, the value of a VHW referral system that reduced provider burden. The primary challenge to sustainability is the competing priorities driven by the Vietnam Ministry of Health, which may result in fewer resources for TDT compared with other health programs. However, providers and VHWs described several options for adapting the implementation strategies to address challenges and increase the engagement of local government committees and other sectors to sustain gains. CONCLUSION Our findings offer insight into how a multicomponent implementation strategy influenced changes in the delivery of evidence-based TDT. In addition, these results illustrate the dynamic interplay between barriers to and facilitators of sustaining TDT at the policy and community/practice level, particularly in the context of centralized public health systems, like that of Vietnam. Sustaining gains in practice improvement and clinical outcomes will require strategies that include ongoing engagement with policymakers and other stakeholders at the national and local level, as well as planning for adaptations and subsequent resource allocations, to meet Article 14 goals