Empathic Engagement With the COVID-19 Vaccine Hesitant in Private Facebook Groups: A Randomized Trial.

BACKGROUND: Vaccine misinformation has been widely spread on social media, but attempts to combat it have not taken advantage of the attributes of social media platforms for health education. METHODS: The objective was to test the efficacy of moderated social media discussions about COVID-19 vaccines in private Facebook groups. Unvaccinated U.S. adults were recruited using Amazon's Mechanical Turk and randomized. In the intervention group, moderators posted two informational posts per day for 4 weeks and engaged in relationship-building interactions with group members. In the control group, participants received a referral to Facebook's COVID-19 Information Center. Follow-up surveys with participants (N = 478) were conducted 6 weeks post-enrollment. RESULTS: At 6 weeks follow-up, no differences were found in vaccination rates. Intervention participants were more likely to show improvements in their COVID-19 vaccination intentions (vs. stay same or decline) compared with control (p = .03). They also improved more in their intentions to encourage others to vaccinate for COVID-19. There were no differences in COVID-19 vaccine confidence or intentions between groups. General vaccine and responsibility to vaccinate were higher in the intervention compared with control. Most participants in the intervention group reported high levels of satisfaction. Participants engaged with content (e.g., commented, reacted) 11.8 times on average over the course of 4 weeks. CONCLUSIONS: Engaging with vaccine-hesitant individuals in private Facebook groups improved some COVID-19 vaccine-related beliefs and represents a promising strategy.

Prevalence of Short Peer Reviews in 3 Leading General Medical Journals.

Importance: High-quality peer reviews are often thought to be essential to ensuring the integrity of the scientific publication process, but measuring peer review quality is challenging. Although imperfect, review word count could potentially serve as a simple, objective metric of review quality. Objective: To determine the prevalence of very short peer reviews and how often they inform editorial decisions on research articles in 3 leading general medical journals. Design, Setting, and Participants: This cross-sectional study compiled a data set of peer reviews from published, full-length original research articles from 3 general medical journals (The BMJ, PLOS Medicine, and BMC Medicine) between 2003 and 2022. Eligible articles were those with peer review data; all peer reviews used to make the first editorial decision (ie, accept vs revise and resubmit) were included. Main Outcomes and Measures: Prevalence of very short reviews was the primary outcome, which was defined as a review of fewer than 200 words. In secondary analyses, thresholds of fewer than 100 words and fewer than 300 words were used. Results were disaggregated by journal and year. The proportion of articles for which the first editorial decision was made based on a set of peer reviews in which very short reviews constituted 100%, 50% or more, 33% or more, and 20% or more of the reviews was calculated. Results: In this sample of 11 466 reviews (including 6086 in BMC Medicine, 3816 in The BMJ, and 1564 in PLOS Medicine) corresponding to 4038 published articles, the median (IQR) word count per review was 425 (253-575) words, and the mean (SD) word count was 520.0 (401.0) words. The overall prevalence of very short (<200 words) peer reviews was 1958 of 11 466 reviews (17.1%). Across the 3 journals, 843 of 4038 initial editorial decisions (20.9%) were based on review sets containing 50% or more very short reviews. The prevalence of very short reviews and share of editorial decisions based on review sets containing 50% or more very short reviews was highest for BMC Medicine (693 of 2585 editorial decisions [26.8%]) and lowest for The BMJ (76 of 1040 editorial decisions [7.3%]). Conclusion and Relevance: In this study of 3 leading general medical journals, one-fifth of initial editorial decisions for published articles were likely based at least partially on reviews of such short length that they were unlikely to be of high quality. Future research could determine whether monitoring peer review length improves the quality of peer reviews and which interventions, such as incentives and norm-based interventions, may elicit more detailed reviews.

A pilot randomized controlled trial of automated and counselor-delivered text messages for e-cigarette cessation.

INTRODUCTION: Automated text messaging programs show promise for e-cigarette cessation. Adding live text counseling could make them more engaging. We developed Quit the Vape (QTV), an automated e-cigarette cessation text messaging program, designed to be delivered as stand-alone or with counselor-delivered messages (QTV-C), and evaluated the acceptability and preliminary efficacy of QTV and QTV-C. METHODS: Between May and August 2021, we recruited 58 e-cigarette users, aged 20-43 years, 53.5% male, 63.8% non-Hispanic White, from an ongoing cohort study in the United States. Inclusion criteria were: using nicotine-containing e-cigarettes on ≥4 days per month; smartphone ownership; and not receiving tobacco cessation treatment. Motivation to quit did not impact eligibility. Participants were randomized to QTV (n=20), QTV-C (n=19), or control (link to e-cigarette cessation website, n=19). At end-of-treatment, we assessed program engagement and satisfaction, and self-reported quitting behaviors (e.g. point prevalence abstinence, PPA). RESULTS: At baseline, average past-month e-cigarette use was 26.8 days (SD=6.2). At follow-up at 4 weeks, among QTV and QTV-C participants, ≥85% replied to ≥1 message, ≥35% set a quit date, and ≤15% opted out. More QTV and QTV-C participants (55.6%) versus control (17.7%) reported program satisfaction (p=0.034). QTV-C participants (vs QTV and control) trended more favorably on 7-day e-cigarette PPA [27.8% (95% CI: 11.5-53.3) vs 11.1% (95% CI: 2.6-37.0) and 5.9% (95% CI: 0.7-34.5)] and quit attempts [66.7% (95% CI: 41.6-84.9) vs 50.0% (95% CI: 27.4-72.6) and 52.9% (95% CI: 29.2-75.5)]. CONCLUSIONS: Adding live text counseling to an automated text messaging program is acceptable and shows promise for e-cigarette cessation. A larger trial is warranted to assess its efficacy.

Predictors of electronic nicotine product quit attempts and cessation: Analysis of waves 3 and 4 of the PATH study.

INTRODUCTION: Identifying theory-based predictors of electronic nicotine product (ENP) quit attempts and cessation can guide the development of effective vaping cessation interventions, which are currently limited. This study examined predictors of ENP quit attempts and cessation among adult ENP users. METHODS: Using data from wave 3 (W3; 2015-2016) current established ENP users in the Population Assessment of Tobacco and Health study, we used multivariable logistic regression to identify predictors of (i) wave 4 (W4; 2016-2018) quit attempts (unweighted n = 1,135); and (ii) W4 cessation among those who made a quit attempt (unweighted n = 610). Predictors included Social Cognitive Theory (SCT)-based cognitive (interest in quitting, self-efficacy to quit, outcome expectancies, risk perception), behavioral (smoking status, and use of combustibles, non-combustibles, cannabis, and alcohol), and socio-environmental (perceived disapproval, household rules, exposure to advertising) factors. RESULTS: Between W3 and W4, 51.7% of W3 ENP users made a quit attempt. Among those who tried quitting, 68.4% stopped using ENPs. SCT-based predictors of ENP quit attempts included higher interest in quitting ENPs (aOR = 1.18), greater self-efficacy to quit ENPs (aOR = 1.31), and currently using cigarettes (vs non-smoker; aOR = 1.71), non-combustibles (aOR = 2.25), and cannabis (aOR = 1.80). Predictors of ENP cessation included greater self-efficacy to quit ENPs (aOR = 1.33), greater perceived risk of ENPs (aOR = 1.35), and being a current smoker (vs non-smoker; aOR = 3.28). CONCLUSIONS: ENP cessation interventions should address cognitive factors, particularly self-efficacy, as it predicted quit attempts and cessation. Cigarette smoking among dual users should be monitored and addressed to ensure that those who quit using ENPs do not maintain cigarette use.

The Impact of Tobacco Use on COVID-19 Outcomes: A Systematic Review.

INTRODUCTION: Tobacco use increases risks for numerous diseases, including respiratory illnesses. We examined the literature to determine whether a history of tobacco use increases risks for adverse outcomes among COVID-19 patients. METHODS: We conducted a systematic search of PubMed, LitCovid, Scopus, and Europe PMC (for preprints) using COVID-19 and tobacco-related terms. We included studies of human subjects with lab-confirmed COVID-19 infections that examined tobacco use history as an exposure and used multivariable analyses. The data was collected between March 31st, 2020, and February 20th, 2021. Outcomes included mortality, hospitalization, ICU admission, mechanical ventilation, and illness severity. RESULTS: Among the 39 studies (33 peer-reviewed, 6 preprints) included, the most common outcome assessed was mortality (n = 32). The majority of these studies (17/32) found that tobacco use increased risk, one found decreased risk, and 14 found no association. Tobacco use was associated with increased risk of hospitalization in 7 of 10 studies, ICU admission in 6 of 9 studies, mechanical ventilation in 2 of 6 studies, and illness severity in 3 of 9 studies. One study found that tobacco use history increased risk of pulmonary embolism in COVID-19 patients. Tobacco use was found to compound risks associated with diabetes (n = 1), cancer (n = 2), and chronic liver disease (n = 1). CONCLUSION: There is strong evidence that tobacco use increases risks of mortality and disease severity/progression among COVID-19 patients. Public health efforts during the pandemic should encourage tobacco users to quit use and seek care early and promote vaccination and other preventive behaviors among those with a history of tobacco use.

Trajectories of ENDS and cigarette use among dual users: analysis of waves 1 to 5 of the PATH Study.

INTRODUCTION: Concurrent electronic nicotine delivery system (ENDS) and cigarette (dual) use is harmful. Identifying longitudinal trajectories of ENDS and cigarette use among dual users can help to determine the public health impact of ENDS and inform tobacco control policies and interventions. OBJECTIVES: (1) To identify independent and joint trajectories of ENDS and cigarette use among wave (W) 1 adult dual users across W1 to W5 of the Population Assessment of Tobacco and Health (PATH) Study; and (2) identify W1 predictors of ENDS and cigarette joint trajectory group membership. METHODS: We used group-based trajectory modelling to estimate independent and joint trajectories of ENDS and cigarette use from wave 1 (W1; 2013-2014) to wave 5 (W5; 2018-2019) among W1 adult established dual users of ENDS and cigarettes (n=545) from the PATH Study. We used multinomial logistic regression to identify W1 predictors of joint trajectories. RESULTS: Two ENDS (early quitters=66.0%, stable users=34.0%) and three cigarette (stable users=55.2%, gradual quitters=27.3%, early quitters=17.5%) trajectories of W1 were identified. In joint trajectory analysis, 41.6% of participants were early ENDS quitters and stable cigarette users; 14.8% early ENDS quitters and gradual cigarette quitters; 14.6% stable ENDS users and stable cigarette users; 11.2% stable ENDS users and gradual cigarette quitters; 10.3% early ENDS quitters and early cigarette quitters; and 7.4% stable ENDS users and early cigarette quitters. Cigarette and ENDS use frequency, nicotine dependence, cannabis use and other non-combusted tobacco product use predicted trajectory group membership (p values <0.05). CONCLUSIONS: Most dual users maintained long-term cigarette smoking or dual use, highlighting the need to address cessation of both products. Continued monitoring of trajectories and their predictors is needed, given ongoing changes to the ENDS marketplace.

Electronic Nicotine Product Cessation and Cigarette Smoking: Analysis of Waves 3 and 4 From the PATH Study.

INTRODUCTION: Identifying predictors of electronic nicotine product (ENP) cessation can inform ENP cessation interventions. High rates of cooccurring ENP and cigarette (dual) use and transitions between these products underscore the importance of considering cigarette smoking status when assessing and addressing ENP cessation. AIMS AND METHODS: We analyzed waves 3 (W3) and 4 (W4) of the Population Assessment of Tobacco and Health (PATH) study to identify (1) W3 socio-demographics, tobacco and ENP use characteristics, and psychosocial correlates of W3 cigarette smoking status (non-smoker, former, and current) among W3 adult ENP users, and (2) W3 predictors of W4 combined ENP and cigarette smoking abstinence relative to use of one or both products. RESULTS: At W3, 65.6% of ENP users concurrently smoked cigarettes. Adjusted multinomial regression results indicated that different W3 socio-demographics, tobacco and ENP use characteristics, and psychosocial correlates were significantly associated with distinct W3 cigarette use profiles. At W4, 9.9% of individuals were abstinent from both products. These individuals were less likely to: (1) be current smokers (vs. non-smokers) or be advised to quit using tobacco, compared with cigarette only or dual users, and (2) use ENPs daily or live in a household allowing ENP use, compared with ENP only or dual users (p < .05). CONCLUSIONS: ENP cessation approaches need to be tailored to the distinct cigarette use profiles of ENP users. Dual users and daily ENP users may require more intensive interventions to achieve the cessation of both products. Supportive physical environments, such as home vape-free policies, may facilitate ENP cessation. IMPLICATIONS: This analysis contributes to advancing the nascent literature on predictors of electronic nicotine product (ENP) cessation, which can guide the development of ENP cessation interventions by indicating which populations, psychosocial and environmental constructs, and cooccurring behaviors interventions should target. This research also highlights the importance of considering cigarette smoking status when designing ENP cessation interventions and defining intervention outcomes.

A synthesis of the literature to inform vaping cessation interventions for young adults.

There is an urgent need to address young adult (YA) vaping. However, there is limited vaping cessation intervention research, particularly studies tested via experimental designs. This manuscript focuses on YA vaping and critical needs for research to advance vaping cessation interventions for YAs. The smoking cessation literature, especially regarding YA smoking, provides evidence and theory from which to draw. However, the extent to which this literature has utility for vaping cessation warrants investigation. Research to inform the development and optimization of effective vaping cessation interventions for YAs requires attention to both potential targets for behavioral intervention (e.g., conceptual framework) and how to best reach YAs (i.e., delivery modality). Regarding the former, such interventions must consider the complexity of YA vaping (e.g., complex social influences, limited negative outcome expectancies, quit intentions). One particularly challenging aspect of YA cessation is co-use of other tobacco products and marijuana and ensuring that those who quit vaping do not continue or increase other product use. With regard to intervention modality, technology-based interventions (e.g., text messaging, apps) may prove promising, and individualized intervention (e.g., one-on-one counseling) may be needed to carefully intervene on the complexity of substance use, particularly cigarette and marijuana use, within this population.

A Pilot Randomized Controlled Trial of Text Messaging to Increase Tobacco Treatment Reach in the Emergency Department.

INTRODUCTION: Automated text messaging programs have been studied as a treatment tool, but have not been studied as an outreach tool to increase the reach of smoking cessation treatment. AIMS AND METHODS: Two distinct text messaging programs were developed. One was aimed at connecting smokers to quitline phone counseling via text message (Text4Coach [T4C]) and the other was aimed at connecting smokers to a smoking cessation text messaging program (Text&Quit [T&Q]). Adult daily smokers with Medicaid insurance (N = 80) were recruited from the Emergency Department at an urban hospital and randomized to T4C or T&Q. The primary outcome was program reach. RESULTS: Outreach text messages were found to have moderately high uptake, with the majority of participants (63.8%) opting into their assigned tobacco treatment program and younger and female participants more likely to opt in (p < .01). Receipt of the treatment portion of the program differed among the programs with 67.5% of T&Q receiving the treatment program and 27.5% of T4C receiving the program (p < .001). Most participants across both groups replied to at least one message (71.3%) and very few unsubscribed from the service over the 3-week trial. The majority of participants reported overall satisfaction with their program (63.8%), found it helpful for quitting smoking (60.0%) and would recommend the program to a friend (62.5%). Overall, 11 (13.8%) participants reported being abstinent from smoking for the past 7 days at follow-up, with no differences between groups. CONCLUSIONS: Outreach text messages were found to have moderately high reach among Medicaid smokers. Larger trials are needed to evaluate the impact of such programs on helping low-income smokers quit. IMPLICATIONS: Automated text messaging programs have been tested as a treatment tool, but have not been tested as an outreach tool to increase the reach of smoking cessation treatment. This study tests a new way of conducting outreach to smokers in a health system through text messages. It tests the effect of outreach on (1) rates of opting in and (2) successful treatment delivery. Results may inform new models of providing outreach for tobacco treatment in health systems.

Young Adults' Vaping, Readiness to Quit, and Recent Quit Attempts: The Role of Co-use With Cigarettes and Marijuana.

INTRODUCTION: E-cigarette cessation intervention research is limited. Young adult e-cigarette use and cessation is particularly nuanced, given various user profiles (ie, polytobacco use, co-use with marijuana) warranting different intervention approaches. METHODS: The current study is an analysis of baseline survey data (collected September-December 2018) among 1133 young adult (aged 18-34) e-cigarette users in a 2-year longitudinal study. We examined (1) e-cigarette user profiles (ie, e-cigarette only; e-cigarette/other tobacco; e-cigarette/marijuana; e-cigarette/other tobacco/marijuana) and (2) correlates of readiness to quit e-cigarette use in the next 6 months and past-year e-cigarette quit attempts. RESULTS: In this sample (Mage = 23.91, 47.3% male, 35.5% sexual minority, 75.2% White, 13.7% Hispanic), e-cigarette user profiles were as follows: 16.8% e-cigarettes-only, 23.4% e-cigarette/other tobacco, 18.0% e-cigarette/marijuana, and 41.8% e-cigarette/other tobacco/marijuana. Multinomial logistic regression (referent: e-cigarette-only use) indicated that all polyuse groups were more likely to use high-nicotine e-liquids (containing ≥9 mg of nicotine). Other predictors included e-cigarettes/other tobacco users being older and male; e-cigarettes/marijuana users using closed systems; and e-cigarettes/other tobacco/marijuana users being sexual minority (p's < .01). Readiness to quit e-cigarettes and past-year quit attempts were reported by 20.8% and 32.3%, respectively. Per multilevel regression, readiness to quit and quit attempts correlated with using fewer days, high-nicotine e-liquids, and closed systems, but not marijuana, as well as being heterosexual and Black (vs White); readiness to quit also correlated with being single; past-year quit attempts correlated with other tobacco use and being Hispanic. CONCLUSIONS: Young adult e-cigarette users demonstrate distinct user profiles and cessation-related experiences that should be considered in developing cessation interventions. IMPLICATIONS: The vast majority of young adult e-cigarette users use other tobacco products and marijuana. Unfortunately, few reported readiness to quit or attempting quit. Moreover, certain subgroups (eg, sexual/racial/ethnic minorities) are more likely to be ready or attempt to quit, but may not be successful. Vaping cessation interventions must attend to these nuances.

Mobile phone-based messaging for tobacco cessation in low and middle-income countries: A systematic review.

INTRODUCTION: Mobile phone-based tobacco cessation (mCessation) interventions are effective in high-income countries but their effectiveness in low and middle-income countries (LMICs) is unclear. We aimed to assess the evidence-base for mCessation interventions in LMICs by synthesizing study characteristics and to describe intervention characteristics and content. METHODS: Studies were included in this review if they evaluated an intervention that targeted tobacco users, were conducted in an LMIC, measured tobacco cessation as a primary or secondary outcome, and were primarily delivered using mobile phone (text or app-based) messaging. Data were extracted on fields pertaining to study and intervention characteristics and study quality was assessed using the Effective Public Health Practice Project tool. Screening, extraction and quality assessment were conducted by two independent reviewers. RESULTS: Of 606 unique records, 12 articles were included. The majority of studies were methodologically weak. Methodological limitations included small sample sizes, short follow-up durations and use of self-reported outcomes. Most evaluations were conducted in upper middle-income countries with urban, adult smokers intending to quit smoking. Approximately half the interventions were bidirectional (enabled two-way messaging) and fully automated. Almost all interventions were delivered via SMS. Treatment offerings of the intervention and control groups varied widely. CONCLUSIONS: More rigorous large-scale randomized controlled trials are needed to conclusively establish the efficacy of mCessation interventions in LMICs. Interventions also need to be tested across more diverse populations and settings. Future studies should test the relative effectiveness of different intervention characteristics.

Applying the Three Delays Model to understand emergency care seeking and delivery in rural Bangladesh: a qualitative study.

OBJECTIVES: The Three Delays Model has been commonly used to understand and prevent maternal mortality but has not been systematically applied to emergency medical conditions more generally. The objective of this study was to identify delays in emergency medical care seeking and delivery in rural Bangladesh and factors contributing to these delays by using the Three Delays Model as a framework. DESIGN: A qualitative approach was used. Data were collected through focus group discussions and in-depth interviews using semistructured guides. Two analysts jointly developed a codebook iteratively and conducted a thematic analysis to triangulate results. SETTING: Six unions in Raiganj subdistrict of Bangladesh. PARTICIPANTS: Eight focus group discussions with community members (n=59) and eight in-depth interviews with healthcare providers. RESULTS: Delays in the decision to seek care and timely receipt of care on reaching a health facility were most prominent. The main factors influencing care-seeking decisions included ability to recognise symptoms and decision-making power. Staff and resource shortages and lack of training contributed to delays in receiving care. Delay in reaching care was not perceived as a salient barrier. Both community members and healthcare providers expressed interest in receiving training to improve management of emergency conditions. CONCLUSIONS: The Three Delays Model is a practical framework that can be useful for understanding barriers to emergency care and developing more tailored interventions. In rural Bangladesh, training community members and healthcare providers to recognise symptoms and manage acute conditions can reduce delays in care seeking and receiving adequate care at health facilities.

Formative research for an mHealth program to improve the HIV care continuum in South Africa.

In South Africa, high attrition rates throughout the care continuum present major barriers to controlling the HIV epidemic. Mobile health (mHealth) interventions may provide innovative opportunities for efficient healthcare delivery and improving retention in care. In this formative research, we interviewed 11 patients and 28 healthcare providers in North West Province, South Africa, to identify perceived benefits, concerns and suggestions for a future mHealth program to deliver HIV Viral Load and CD4 Count test results directly to patients via mobile phone. Thematic analysis found that reduced workload for providers, reduced wait times for patients, potential expanded uses and patient empowerment were the main perceived benefits of an mHealth program. Perceived concerns included privacy, disseminating distressing results through text messages and patients' inability to interpret results. Participants felt that an mHealth program should complement face-to-face interactions and educational information to interpret results is needed. Providers identified logistical considerations and suggested protocols be developed. An mHealth program to deliver HIV test results directly to patients could mitigate multiple barriers to care but needs to be tested for efficacy. Concerns identified by patients and providers must be addressed in designing the program to successfully integrate with health facility workflow and ensure its sustainability.

Beyond HIV prevention: a qualitative study of patient-reported outcomes of PrEP among MSM patients in two public STD clinics in Baltimore.

Pre-exposure prophylaxis (PrEP) could have a substantial impact on the HIV epidemic within the US. However, the implementation of PrEP interventions outside of clinical trials has been slow and faces considerable barriers. The aim of the current study was to qualitatively explore PrEP-related patient-reported outcomes (PRO) among MSM patients who enrolled in a PrEP program at two public STD clinics in Baltimore. We conducted in-depth interviews with 18 PrEP patients who self-identified as MSM at two Baltimore City Health Department STD clinics between March and November, 2017. A codebook was developed using an iterative process. During analysis, the study team identified various biomedical and psychosocial PrEP-related PRO among MSM PrEP patients. In addition to HIV prevention, PrEP-related PRO included greater peace of mind, better continuity in care and awareness about health and well-being, relationship solidarity with serodiscordant partners, and access to social services. These findings on PrEP-related PRO can potentially contribute to improving patient-provider communication, leading to increased engagement in care and uptake of PrEP by MSM.

E-cigarettes and smoking cessation: a prospective study of a national sample of pregnant smokers.

BACKGROUND: Smoking during pregnancy has adverse health consequences for the mother and fetus. E-cigarettes could aid with smoking cessation but there is limited research on the prevalence and patterns of e-cigarette use, and their association with smoking cessation among pregnant smokers. METHODS: We conducted a secondary analysis of a randomized controlled trial of a text-messaging program for smoking cessation among a U.S. national cohort of pregnant smokers (n = 428). Outcomes assessed were trajectories of e-cigarettes use from baseline to one-month follow-up, and longitudinal association between e-cigarette use at baseline and smoking cessation at one-month follow-up. RESULTS: At baseline, 74 (17.29%) pregnant smokers used e-cigarettes in the past 30 days and 36 (8.41%) used e-cigarettes in the past 7 days. The primary reason stated for using e-cigarettes during pregnancy was for quitting. E-cigarette use between baseline and 1-month was inconsistent. Of 36 dual-users at baseline, 20 (55.56%) stopped using e-cigarettes by the 1-month follow-up and 14 initiated e-cigarette use. There was no evidence of an association between e-cigarette use at baseline and the primary smoking cessation outcome, 7-day point prevalence abstinence [adjusted odds ratio = 0.79, 95% confidence intervals = 0.33-1.92]. CONCLUSIONS: A secondary analysis of a national sample of pregnant smokers indicates that use of e-cigarettes is inconsistent and is not associated with improved smoking cessation outcomes. There is an urgent need to further examine the risk and benefits of e-cigarette use, especially during pregnancy.

The Association Between Disclosure of Same Sex Behavior to Healthcare Providers and PrEP Awareness Among BMSM in Baltimore.

The goal of this study was to explore the association between disclosure of same sex behavior to a healthcare provider and PrEP awareness in a sample of 192 Black MSM in Baltimore. After adjusting for age, education, sexual identity and employment status, we observed a trend of greater PrEP awareness among Black MSM who disclosed same sex behaviors to healthcare providers (adjusted odds ratio = 2.24, p = 0.08). This study provides new evidence of potential benefit of disclosure of same sex behavior to healthcare providers for awareness of new HIV biomedical interventions. Findings highlight the need to support patient-provider communication on sexual behaviors and PrEP with key populations at risk of HIV.

Formative Research for an Innovative Smartphone Application to Improve Distribution of Healthy Foods to Corner Stores in Baltimore City.

We sought to collect information about the operations of wholesalers and store owner perceptions of smartphones to plan for and create a smartphone application that will facilitate the distribution of healthy foods to corner stores. In-depth interviews were conducted with wholesalers, corner store owners, distributors, and food environment experts in Baltimore City, Maryland, which included providing feedback for a mockup of the app. Store owners that were comfortable with smartphones liked the idea of the app because it was economically practical, culturally suitable, simple and easy to use, and provided a large variety of items at a fair or low price. We found that barriers to uptake among corner store owners would be high delivery costs, no foreign language capability, and a complicated user interface. This work will inform future projects that will utilize mHealth technology to improve distribution of healthier foods in food deserts.

COach2Quit: A Pilot Randomized Controlled Trial of a Personal Carbon Monoxide Monitor for Smoking Cessation.

INTRODUCTION: Mobile phone-based messaging support and biomarker feedback independently show evidence of increasing an individual's likelihood of quitting smoking. However, the combination of these two strategies to facilitate smoking cessation has not been adequately explored. METHODS: We conducted a randomized controlled trial in Baltimore, Maryland, to assess the efficacy of COach2Quit, a smartphone application that provides exhaled carbon monoxide readings with message support. The primary outcome was self-reported and biochemically verified smoking cessation at 30-day follow-up. Secondary outcomes were reduction in smoking, motivation to quit, and engagement and satisfaction with COach2Quit. An intention-to-treat analysis was conducted. RESULTS: Adult smokers were randomized 1:1 to receive brief advice and COach2Quit (intervention, n = 50) or brief advice only (control, n = 52). Thirteen participants were lost to follow-up. At 30-day follow-up, one participant in each arm quit smoking. Median change in carbon monoxide levels (in parts per million (ppm)) (intervention: -3.0 [interquartile range (IQR) -12.0, 2.0]; control: -2.5 [IQR -9.0, 2.0]) and median change in number of cigarettes smoked per day (intervention: -5.5 [IQR -14.0, -1.0]; control: -6.0 [IQR -10.0, -2.0]) was similar between study arms. There was no significant difference in mean percent change in the Reasons for Quitting scale score (intervention: 6.3 [95% confidence interval = -2.2% to 14.8%]; control: -3.6 [95% confidence interval = -9.2% to 2.1%]). A majority (n = 32, 91%) of participants liked having COach2Quit to help them quit smoking. CONCLUSIONS: There were no significant differences in smoking cessation, smoking reduction, and motivation to quit between study arms. However, high satisfaction with the COach2Quit application indicates its feasibility and acceptability as a smoking cessation tool. IMPLICATIONS: Smoking is the leading preventable cause of morbidity and mortality in the United States. Although counseling and pharmacotherapy are efficacious for smoking cessation, they are not easily accessible or desirable to all smokers, highlighting the need for identifying other interventions. There is evidence for the efficacy of mobile phone-based messaging support for smoking cessation. However, there is limited research on the efficacy of biomarker feedback, much less interventions that combine these two approaches. This research contributes to filling this gap and identifying novel interventions to facilitate smoking cessation.

Qualitative Exploration of a Smoking Cessation Trial for People Living With HIV in South Africa.

Introduction: In South Africa, people living with HIV have a high prevalence of smoking, which undermines the beneficial effects of antiretroviral therapy. However, little is known about barriers to smoking cessation and what interventions work for people living with HIV in this setting. Methods: A randomized trial comparing intensive anti-smoking counseling versus counseling and nicotine replacement therapy was recently concluded in Klerksdorp, South Africa. In a post-trial follow-up, 23 in-depth interviews with patients and one focus group discussion with counselors from the trial were conducted. A codebook was developed and codes were applied to the transcripts, which were analyzed using a thematic analysis. Results: Barriers at the economic, social/interpersonal, and individual levels induced stress, which hindered smoking cessation. Economic stressors included unemployment and poverty. Social or interpersonal stressors were lack of social support for quitting smoking and lack of social support due to having HIV. Individual stressors were traumatic life events. Alcohol was used to cope with stress and frequently co-occurred with smoking. Managing cravings was a barrier unrelated to stress. Participants proposed income and employment opportunities, group counseling, and more frequent counseling as solutions to address stressors at different levels. Nicotine replacement therapy was helpful to mitigate cravings. Conclusions: Future smoking cessation interventions need to target barriers at multiple levels. Increasing the supply and duration of nicotine replacement therapy may increase its effectiveness. Other behavioral approaches such as group counseling or peer counseling could hold promise in this setting but need to be tested for efficacy through randomized controlled trials. Implications: To our knowledge, this is the first qualitative study examining barriers to smoking cessation for people living with HIV in South Africa. Smoking is highly prevalent among people with HIV in South Africa and cessation interventions are urgently needed. A better understanding of barriers to smoking cessation that people with HIV face will lead to the development of contextually appropriate interventions. This study also provides feedback on interventions from a recently concluded smoking cessation randomized trial and will help guide the design of future smoking cessation trials.

A mixed methods assessment of the barriers and readiness for meeting the SNAP depth of stock requirements in Baltimore's small food stores.

We sought to understand Baltimore corner store owners' awareness of and readiness for the then-approved Supplemental Nutrition Assistance Program depth of stock requirements and assess potential barriers and solutions. In-depth interviews and stocking observations were conducted in 17 corner stores in low-income food deserts of Baltimore City. Corner store owners conveyed little to no awareness of the pending depth of stock changes. Only two stores were currently ready for the requirements. Low customer demand, high amounts of potential spoilage, and unfair pricing at the wholesaler were identified by store owners as barriers to stocking required foods.