Neighborhood Inequities in Tobacco Product Descriptors, Washington, DC, 2018-2019.

BACKGROUND: The tobacco industry uses product descriptors to communicate reduced harm and increase appeal. This cross-sectional study assessed store-level racial, ethnic, and socioeconomic inequities in the distribution of retail tobacco product descriptors in a convenience sample of retailers in Washington, DC. METHODS: Young adults (n = 146) who did not currently use tobacco reported real-time store visits over 14 days. Trained data collectors took high-resolution photographs of all tobacco (including e-cigarette) marketing in each store (n = 96) participants visited. We coded text descriptors on tobacco product advertisements and displays into descriptor categories (eg, fruit, sweet, concept). We fit multilevel models to examine relationships between store neighborhood census tract-level racial, ethnic, and socioeconomic characteristics and tobacco product descriptors in stores. As a supplementary analysis, we used geospatial methods to model predicted patterns of descriptors at the census tract level. RESULTS: Stores located in census tracts with the highest versus lowest percentage of Black residents had a greater count of fruit, sweet or dessert, alcohol, and concept descriptors (p < .05), similar to findings from the geospatial approach. Adjusted models also indicated some inequities in stores in census tracts with higher percentages of Hispanic or Latino residents for fruit, alcohol, and concept descriptors; however, tract-level models showed opposite results for concept flavors. CONCLUSIONS: In this convenience sample, fruit, alcohol, sweet/dessert, and concept FTP descriptors were prevalent in stores in neighborhoods with more Black residents demonstrated through two analytic approaches. Surveillance using representative samples of tobacco retailers could improve the ability to track the extent of this inequity. IMPLICATIONS: We document inequities in the amount of fruit, sweet or dessert, alcohol, and concept flavor descriptors in stores across neighborhoods in Washington, DC. Federal, state, and local regulatory action is needed to reduce inequities in flavored tobacco product availability and marketing, including for concept flavors.

Clinical performance of predicting late age-related macular degeneration development using multimodal imaging.

BACKGROUND: To examine whether the clinical performance of predicting late age-related macular degeneration (AMD) development is improved through using multimodal imaging (MMI) compared to using colour fundus photography (CFP) alone, and how this compares with a basic prediction model using well-established AMD risk factors. METHODS: Individuals with AMD in this study underwent MMI, including optical coherence tomography (OCT), fundus autofluorescence, near-infrared reflectance and CFP at baseline, and then at 6-monthly intervals for 3-years to determine MMI-defined late AMD development. Four retinal specialists independently assessed the likelihood that each eye at baseline would progress to MMI-defined late AMD over 3-years with CFP, and then with MMI. Predictive performance with CFP and MMI were compared to each other, and to a basic prediction model using age, presence of pigmentary abnormalities, and OCT-based drusen volume. RESULTS: The predictive performance of the clinicians using CFP [AUC = 0.75; 95% confidence interval (CI) = 0.68-0.82] improved when using MMI (AUC = 0.79; 95% CI = 0.72-0.85; p = 0.034). However, a basic prediction model outperformed clinicians using either CFP or MMI (AUC = 0.85; 95% CI = 0.78-91; p ≤ 0.002). CONCLUSIONS: Clinical performance for predicting late AMD development was improved by using MMI compared to CFP. However, a basic prediction model using well-established AMD risk factors outperformed retinal specialists, suggesting that such a model could further improve personalised counselling and monitoring of individuals with the early stages of AMD in clinical practice.

Cannabis use among adults undergoing cancer treatment.

BACKGROUND: Little is known about the risks and benefits of cannabis use in the context of cancer care. This study characterized the prevalence, reasons for use, and perceived benefits of cannabis and compared symptoms and perceived risks between those who reported past 30-day cannabis use and those who did not. METHODS: Adults undergoing cancer treatment at a National Cancer Institute-designated cancer center completed measures of sociodemographic characteristics, cannabis use, use modalities, reasons for use, perceived harms/benefits of use, physical and psychological symptoms, and other substance/medication use. Analyses compared patients who used or did not use cannabis in the past 30 days. RESULTS: Participants (N = 267) were 58 years old on average, primarily female (70%), and predominantly White (88%). Over a quarter of respondents (26%) reported past 30-day cannabis use, and among those, 4.5% screened positive for cannabis use disorder. Participants who used cannabis most often used edibles (65%) or smoked cannabis (51%), and they were younger and more likely to be male, Black, and disabled, and to have lower income and Medicaid insurance than participants who did not use cannabis. Those who used cannabis reported more severe symptoms and perceived cannabis as less harmful than those who did not use cannabis. The most common medical reasons for cannabis use were pain, cancer, sleep problems, anxiety, nausea/vomiting, and poor appetite. Participants reported the greatest cannabis-related symptom relief from sleep problems, nausea/vomiting, headaches, pain, muscle spasms, and anxiety. CONCLUSIONS: Patients with cancer who used cannabis perceived benefits for many symptoms, although they showed worse overall symptomatology. PLAIN LANGUAGE SUMMARY: Among adults undergoing cancer treatment, 26% reported cannabis use in the past 30 days. Those who used cannabis were more likely to be male and disabled and to have lower income and Medicaid insurance than those who did not use cannabis. Participants most commonly reported using cannabis for pain, cancer, sleep, anxiety, and nausea/vomiting and reported the greatest perceived benefits for sleep, nausea/vomiting, headaches, pain, muscle spasms, and anxiety, yet participants who used cannabis also reported feeling worse physically and psychologically compared to those who did not use cannabis. Participants who used cannabis were more likely to report that cannabis was less risky to their health than alcohol, smoking, and opioids than those who did not use cannabis.

Birth Outcomes Associated With E-Cigarette and Non-E-Cigarette Tobacco Product Use During Pregnancy: An Examination of PATH Data Waves 1-5.

OBJECTIVES: To examine associations of prenatal e-cigarette use to pregnancy and birth outcomes. METHODS: Currently pregnant women (n = 1 037) from Waves 1 through 4 of the Population Assessment of Tobacco and Health Study who had pregnancy or live birth outcome data in a subsequent wave (Waves 2-5; 2013 to 2019). Weighted bivariate and multivariable models\ examined associations between past 30-day tobacco use assessed during pregnancy (any past 30-day e-cigarette use, any past 30-day non-e-cigarette tobacco use, or no past 30-day tobacco use) with adverse pregnancy (miscarriage, abortion, ectopic or tubal pregnancy, stillbirth) and birth outcomes (preterm birth, low birth weight, birth defect, placenta previa, placental abruption, pre-eclampsia) reported in the subsequent wave. RESULTS: Approximately 1% of pregnant women reported past 30-day exclusive e-cigarette use and 3.2% used e-cigarettes and one other tobacco product. Compared to no tobacco use, past 30-day e-cigarette use (exclusive or use with another tobacco product) during pregnancy was not associated with increased odds of an adverse pregnancy or birth outcome in bivariate or multivariable models. Past 30-day non-e-cigarette tobacco use was associated with increased odds of an adverse pregnancy outcome in multivariable models, but not an adverse live birth outcome. Compared to past 30-day cigarette use, past 30-day e-cigarette use during pregnancy was not associated with lowered odds of a birth or pregnancy outcome. CONCLUSIONS: E-cigarette use during pregnancy is rare. Understanding the positive and negative impacts of pre-natal e-cigarette use on women's health may guide public health messaging campaigns. IMPLICATIONS: Results showed that past 30-day e-cigarette use during pregnancy was low, with cigarette smoking remaining the most prevalent form of tobacco use during pregnancy. Current e-cigarette use during pregnancy used either exclusively or with another tobacco product, was not associated with increased risk of an adverse pregnancy, or birth outcome. A small sample size of e-cigarette users and limited information on quantity and frequency of e-cigarette use before and during pregnancy may limit conclusions. Healthcare providers may use this information when discussing the harms and consequences associated with e-cigarette and tobacco use during pregnancy.

Single-use, co-use, and polysubstance use of alcohol, tobacco, and cannabis in sexual minority and heterosexual females.

BACKGROUND AND OBJECTIVE: Alcohol, tobacco, and cannabis use are more prevalent in sexual minority females than heterosexual females, and their use is associated with adverse consequences. Identifying disparities in substance use patterns by sexual identity may inform interventions targeting this vulnerable group. This study examined differences between heterosexual and sexual minority females on patterns of past 30-day tobacco, alcohol, and cannabis use. METHODS: N = 3020 females (18.8% sexual minority) completed an online survey (September 2020-October 2021) that queried about past 30-day tobacco/nicotine (cigarettes, e-cigarettes, large cigar/LCCs, and other products), alcohol, and cannabis use. Participants were classified into one of eight patterns: no use, tobacco/nicotine-only, alcohol-only, cannabis-only, alcohol and tobacco/nicotine, tobacco/nicotine and cannabis, alcohol and cannabis, and polysubstance use. A multinomial logistic regression model examined the association between sexual identity and each substance use group, controlling for demographics. RESULTS: Across both groups, no substance use was the most common pattern. Polysubstance use was the most common substance use pattern among sexual minority females. In adjusted regression models, sexual minority females were more likely to report cannabis-only (adjusted odds ratio [AOR] = 2.58), tobacco/nicotine and cannabis co-use (AOR = 1.74), alcohol and cannabis co-use (AOR = 2.50), and polysubstance use (AOR = 2.60), compared to heterosexual females. [Correction added on 23 November 2022, after first online publication: In the preceding paragraph, the AOR and CI values were corrected.] DISCUSSION AND CONCLUSIONS: Substance use patterns that involve cannabis are more common among sexual minority females. SCIENTIFIC SIGNIFICANCE: This study extends prior research by using a large sample of females to examine differences based on sexual identity in patterns of tobacco/nicotine, alcohol, and cannabis use beyond single substance use and considers co-use and polysubstance use.

Seeing is believing: How cannabis marketing exposure is associated with cannabis use attitudes and behavior in a permissive medical cannabis policy environment.

BACKGROUND AND OBJECTIVES: Oklahoma has a fast-growing medical cannabis industry, showing a proliferation of industry marketing. While cannabis marketing exposure (CME) is a risk factor for cannabis use and positive attitudes about use, no studies have examined the impact of CME on attitudes and use behavior in a permissive cannabis policy environment, like Oklahoma. METHODS: N = 5428 Oklahoma adults ages 18 and older completed assessments of demographics, past 30-day cannabis use, and past 30-day exposure to each of four types of cannabis marketing: outdoor (billboards, signs), social media, print (magazines), and Internet. Regression models examined associations of CME with positive attitudes towards cannabis use, cannabis harm perceptions, interest in obtaining a medical cannabis license (among nonlicensed participants), and past 30-day cannabis use. RESULTS: Three quarters (74.5%) reported any past 30-day CME. Outdoor CME was most prevalent (61.1%), followed by social media (46.5%), Internet (46.1%), and print (35.2%). Correlates of CME included younger age, higher educational attainment and income, and medical cannabis license. In adjusted regression models, past 30-day CME and number of sources of CME were associated with current cannabis use behavior, positive attitudes about cannabis, lower cannabis harm perceptions, and greater interest in obtaining a medical cannabis license. Similar associations between CME and positive attitudes about cannabis were shown among noncannabis users. DISCUSSION AND CONCLUSIONS: Public health messaging should be employed to minimize the potential adverse impacts of CME. SCIENTIFIC SIGNIFICANCE: No studies have examined correlates of CME in a rapidly growing and relatively unrestrained marketing environment.

A two-stage partial fixing approach for solving the residency block scheduling problem.

We consider constructing feasible annual block schedules for residents in a medical training program. We must satisfy coverage requirements to guarantee an acceptable staffing level for different services in the hospital as well as education requirements to ensure residents receive appropriate training to pursue their individual (sub-)specialty interests. The complex requirement structure makes this resident block scheduling problem a complicated combinatorial optimization problem. Solving a conventional integer program formulation for certain practical instances directly using traditional solution techniques will result in unacceptably slow performance. To address this, we propose a partial fixing approach, which completes the schedule construction iteratively through two sequential stages. The first stage focuses on the resident assignments for a small set of predetermined services through solving a much smaller and easier problem relaxation, while the second stage completes the rest of the schedule construction after fixing those assignments specified by the first stage's solution. We develop cut generation mechanisms to prune off the bad decisions made by the first stage if infeasibility arises in the second stage. We additionally propose a network-based model to assist us with an effective service selection for the first stage to work on the corresponding resident assignments to achieve an efficient and robust performance of the proposed two-stage iterative approach. Experiments using real-world inputs from our clinical collaborator show that our approach can speed up the schedule construction at least 5 times for all instances and even over 100 times for some huge-size instances compared to applying traditional techniques directly.

Patterns of use, perceptions, and cardiopulmonary health risks of cigar products: a systematic review.

OBJECTIVE: A systematic review was conducted to evaluate the use patterns, health perceptions, and cardiopulmonary health effects of cigars. DATA SOURCES: PubMed and Google Scholar were searched for peer-reviewed articles published between June 2014 and February 2021. Search keywords included cigars, cigarillos, little cigars, and cardiopulmonary health outcomes. STUDY SELECTION: Of 782 papers identified, we excluded non-English articles, review articles, commentaries, and those without empirical data on cigars. Three coders independently reviewed all articles and compared codes to resolve discrepancies. 93 articles met the inclusion criteria and were included. DATA SYNTHESIS: Cigars have evolved from premium cigars to encompass little cigars and cigarillos (LCCs). LCCs are available in an array of flavors and at a price advantage, and as a result, are used by different groups compared to premium cigars. LCCs are more frequently used by youth, young adults, and those who identify as Black/African American. LCCs are often used in combination with other tobacco products, alcohol, and cannabis. Despite limited regulation, cigars generate smoke of a similar composition as cigarettes. Among the studies identified, evidence suggests that cigar use is associated with cardiovascular and pulmonary toxicity. Higher all-cause and cancer-related mortalities are associated with cigar use, particularly with more frequent and deeper inhalation, compared to non-tobacco users. CONCLUSIONS: LCCs are used more frequently by at-risk groups compared to premium cigars. Recent studies evaluating cigar cardiopulmonary health effects are limited but suggest cigars have similar health risks as conferred by cigarette smoking. With the use of LCCs and targeted marketing on the rise among high-risk groups, there is a critical need for continued research in this area.

Disparities in cannabis use outcomes, perceived risks and social norms across sexual orientation groups of US young adult women and men.

Little research has examined mechanisms driving cannabis use disparities among sexual minority (SM; versus heterosexual) young adults (YAs). Participants were US YA women (N = 1345; 24.8% bisexual, 6.1% lesbian) and men (N = 998: 8.9% bisexual, 13.8% gay). Bivariate analyses examined associations between sexual orientation (heterosexual, gay/lesbian, bisexual) and cannabis use outcomes (past 30-day [current] use, use frequency, cannabis-tobacco dual use, use intentions), perceived risks (harm, addictiveness) and social norms (social acceptability, peer use). Regressions examined sexual orientation, perceived risks and social norms as correlates of cannabis outcomes. Bisexual and lesbian (versus heterosexual) women reported lower cannabis-related perceived risks, greater social norms and higher odds of current use. Bisexual (versus heterosexual) women reported more days of use, higher odds of cannabis-tobacco dual use and greater use intentions. Gay (versus heterosexual) men reported lower perceived addictiveness, greater social norms and higher odds of current use. Lower perceived risks and greater social norms predicted greater use outcomes for women and men. Bisexual women displayed higher odds of several cannabis use outcomes, whereas lesbian women and gay men displayed higher odds of current cannabis use only. Cannabis-related perceptions and social norms may be important targets for public health messaging for SMYAs.

Retrospective Use of Patients' Characteristics to Assess Variation in Prenatal Care Utilization.

OBJECTIVE: We used patients' medical and psychosocial risk factors to explore prenatal care utilization and health outcomes to inform prenatal care tailoring. STUDY DESIGN: This retrospective cohort study assessed patients who gave birth at an academic institution from January 1 to December 31, 2018, using electronic health record (EHR) data. Patients were categorized into four phenotypes based on medical/psychosocial risk factors available in the EHR: Completely low risk; High psychosocial risk only; High medical risk only; and Completely high risk. We examined patient characteristics, visit utilization, nonvisit utilization (e.g., phone calls), and outcomes (e.g., preterm birth, preeclampsia) across groups. RESULTS: Of 4,681 patients, the majority were age 18 to 35 (3,697, 79.0%), White (3,326, 70.9%), multiparous (3,263, 69.7%), and Completely high risk (2,752, 58.8%). More Black and Hispanic patients had psychosocial risk factors than White patients. Patients with psychosocial risk factors had fewer prenatal visits (10, interquartile range [IQR]: 8-12) than those without (11, IQR: 9-12). Patients with psychosocial risk factors experienced less time in prenatal care, more phone calls, and fewer EHR messages across the same medical risk group. Rates of preterm birth and gestational hypertension were incrementally higher with additional medical/psychosocial risk factors. CONCLUSION: Data readily available in the EHR can assess the compounding influence of medical/psychosocial risk factor on patients' care utilization and outcomes. KEY POINTS: · Medical and psychosocial needs in pregnancy can inform patient phenotypes and are associated with prenatal care use and outcomes.. · Patient phenotypes are associated with prenatal care use and outcomes.. · Patients with high psychosocial risk spent less time in prenatal care and had more phone calls in pregnancy.. · Tailored prenatal care models may proactively address differences in patient's needs..

Outdoor Medical Cannabis Advertising in Oklahoma: Examining Regulatory Compliance and Social Meanings in Billboard Content.

Background: Medical cannabis currently dominates the U.S. cannabis advertising landscape. The public is increasingly exposed to outdoor cannabis advertising, which increases positive attitudes about and intentions to use cannabis. Research is lacking regarding outdoor cannabis advertising content. This article characterizes the content of outdoor cannabis advertising in Oklahoma, one of the fastest growing U.S. medical cannabis markets. Methods: We conducted a content analysis of cannabis advertising billboard images (n = 73) from Oklahoma City and Tulsa, photographed May 2019-November 2020. We followed a primarily inductive, iterative team approach to thematically analyze billboard content in NVIVO. We reviewed all images, identified a broad coding taxonomy, and then incorporated emergent codes and those related to advertising regulation (e.g. youth/children). We totaled frequencies of code application across billboards and reexamined billboards for final themes. Results: Major themes were social meanings related to cannabis subculture, formal medical systems, and nature, and the presence of company contact information. Minor themes related to convenience, price promotions, store proximity, U.S. affiliation, product quality, and spirituality. State advertising regulation violations were rare, with the exception of content that may promote curative or therapeutic effects (4%) and misrepresentation of product state of origin (1.4%). Conclusion: Outdoor medical cannabis advertising in Oklahoma blurs boundaries between formal medical discourses and cannabis subculture that is suspicious of messaging from authorities and regards cannabis as harmless and natural. Increased monitoring of advertising regulation compliance and greater understanding of social discourses within emerging markets is needed to promote public health within the context of cannabis advertising.

Identifying the unique behaviors embedded in the process of interprofessional collaboration in the ICU.

Interprofessional collaboration (IPC) is an important aspect of high-quality care in intensive care units (ICUs). The practice of IPC, however, is complex and the components that constitute IPC are not well defined. We sought to identify distinct behaviors embedded in clinician workflow that indicate engagement in the IPC process. We conducted a clinical ethnography in two ICUs in southeastern Michigan. From March 2017 to March 2019, we collected 31 hours of observations and completed 12 separate clinician shadowings and 12 interviews with ICU nurses, physicians, and respiratory therapists. We applied an iterative analytical approach to identify two types of IPC behaviors which we a priori labeled as "enablers" (i.e. the ways clinicians transition into or facilitate collaboration) and "collaborative activities" (i.e. behaviors clinicians use to directly collaborate with other professionals). 18 IPC behaviors were identified - ten "enablers" and eight "collaborative activities." Specifically, the enablers include: active listening, approach, coordinating work, intraprofessional consultation, invitation, nonverbal accessibility, reflexive questioning, sending pages/call, validation, and verbal accessibility. The collaborative activities are: correction, fill in the gap, information exchange, negotiation, providing help, socializing, teaching/training, and troubleshooting. By identifying IPC behaviors embedded in clinician workflow, our results may support more focused assessments of IPC in practice and guide clinicians toward behaviors they can use to engage in the IPC process.

Real-Time Context of Tobacco Marketing Exposure and Community Vulnerability-An Ecological Momentary Assessment Among Young Adults.

BACKGROUND: Exposure to tobacco product marketing increases tobacco use among young adults, especially those from vulnerable communities (VCs). PURPOSE: This study examined real-time tobacco marketing exposure among young adults from vulnerable and non-vulnerable communities using Ecological Momentary Assessment (EMA). METHODS: This study used EMA data to assess context (e.g., location and activity) of tobacco marketing exposure using four text-messaging surveys per day over 2 weeks. Young adult non-current tobacco users living in Washington, D.C. (n = 146; ages 18-24) recorded 5,285 surveys, including 20 participants (13.2%) from VCs with high proportions of lower income and racial/ethnic minorities, and high smoking rates. Unadjusted and adjusted multilevel logistic regressions were used to assess the associations between exposure to any and flavored tobacco marketing, VC residence, and real-time context. RESULTS: Fifty-nine participants (40.4%) reported at least one tobacco marketing exposure and recorded 94 exposure moments. In adjusted models, odds of exposure were higher among VC residents (AOR = 2.6, 95% CI = 1.2-5.4), in the presence of anyone using tobacco versus no use (AOR = 4.0, 95% CI = 2.4-6.7), at store/retail (AOR = 17.0, 95% CI = 6.4-44.8), or outside/in transit (AOR = 4.1, 95% CI = 2.1-7.8) versus at home. VC residence (AOR = 7.2, 95% CI = 2.3-22.2) was the strongest predictor of flavored tobacco marketing exposure among all covariates examined. CONCLUSIONS: Young adults are predominantly exposed to tobacco marketing in their daily lives through retail advertisements. Young adults from VCs are at increased risks of seeing any tobacco and especially flavored tobacco marketing. Policies that curtail tobacco retailer density and advertisement displays may reduce overall and differential tobacco marketing exposure.

Affirming the Abuse Liability and Addiction Potential of Menthol: Differences in Subjective Appeal to Smoking Menthol Versus Non-Menthol Cigarettes Across African American and White Young Adult Smokers.

INTRODUCTION: Menthol cigarettes are popular among young adults and are disproportionately used by African American smokers. Menthol's minty and cooling sensations have been hypothesized to enhance the appeal and reinforcement of smoking; however, differences in menthol's subjective appeal across races have been inconsistent. This secondary data analysis examined differences in subjective appeal for smoking menthol versus non-menthol cigarettes between African American and White young adult smokers. METHODS: Young adults (ages 18-24) recruited from Amazon Mechanical Turk (December 2018-January 2019) completed an online survey of tobacco use behavior. Past year smokers (n = 1726) answered questions about subjective responses to smoking (reward, satisfaction, throat hit, craving reduction, and aversion). RESULTS: Significantly more African American (73.2%) compared to White (52.4%) smokers preferred menthol cigarettes (p < .001). Menthol smokers reported greater positive and negative subjective responses to smoking than non-menthol smokers. Positive and negative subjective response were both associated with greater smoking intensity and lower cigarette harm perceptions. Interactions of menthol preference and race on indices of subjective appeal also emerged. African American non-menthol smokers reported lower levels of satisfaction, reward, and craving reduction compared to White non-menthol smokers. CONCLUSIONS: The relationship between menthol preference and subjective response to smoking differs by race. Menthol is rated as more appealing than non-menthol smoking, and appeal indices were linked to smoking intensity and lower harm perceptions, indicating greater abuse liability of menthol cigarettes. Policies that ban menthol cigarettes may have a particularly positive impact on the cigarette smoking of African American young adult smokers. IMPLICATIONS: The FDA issued an Advanced Notice of Proposed Rule Making to examine the role menthol in tobacco products to inform regulations to restrict or ban flavors. This study showed that menthol smokers reported greater appeal to smoking than non-menthol smokers; and an interaction of race x menthol preference showed African American non-menthol smokers reported the lowest levels of appeal to smoking. Multiple indices of cigarette appeal were positively correlated with smoking intensity and lower cigarette harm perceptions, highlighting the addiction potential of menthol cigarettes. Findings suggest a menthol cigarette ban could help reduce tobacco use among young adults.

Inequitable Distribution of FTP Marketing by Neighborhood Characteristics: Further Evidence for Targeted Marketing.

INTRODUCTION: Flavored tobacco products (FTPs) are disproportionately used among young people and racial/ethnic minority populations. However, few studies have examined the retail distribution of such product marketing beyond menthol cigarettes. This study created geographic-based predictions about marketing of FTPs (overall, cigarettes, cigars, e-cigarettes, and smokeless) in stores across Washington, DC neighborhoods. We examined neighborhood-level demographic correlates of the amount of FTP and non-FTP marketing. METHODS: We conducted photographic audits of interior and exterior tobacco marketing in 96 Washington, DC tobacco retailers visited by 149 young adult respondents between 2018-2019. We created a geographic predictive surface of overall and product-specific tobacco marketing and then estimated the average predicted amount of marketing at the census-tract level using zonal statistics. Using linear regression, we examined neighborhood demographic correlates (race/ethnicity, family poverty, and youth population under 18) of FTP and non-FTP marketing. RESULTS: The predicted amount of non-FTP ads/displays were evenly distributed with no neighborhood variability (Range 8.46-8.46). FTP marketing overall was geographically concentrated with greater range across neighborhoods (Range 6.27-16.77). Greater FTP marketing overall and flavored cigar marketing was available in neighborhoods with higher percentages of Black residents. Flavored cigar marketing was less available in neighborhoods with more Hispanic residents, but there was greater flavored smokeless tobacco marketing. Nonflavored marketing overall and by product did not vary across neighborhoods. CONCLUSIONS: This study provides evidence of disproportionate distribution of FTP marketing in Black neighborhoods, especially for flavored cigars, at the point-of-sale. Policies that restrict the sale of FTPs may enhance health equity. IMPLICATIONS: Tobacco marketing has frequently been shown to be more prevalent in neighborhoods with lower household income and more Black residents. Using geographic-based predictions, we find that greater flavored tobacco marketing in these neighborhoods, not decreased marketing for nonflavored tobacco, is driving this disparity. Targeting Black neighborhoods with increased marketing of flavored tobacco products, which has been found to be more appealing, easier to use, and harder to quit is a social justice issue.

Regression and Random Forest Machine Learning Have Limited Performance in Predicting Bowel Preparation in Veteran Population.

BACKGROUND: Inadequate bowel preparation undermines the quality of colonoscopy, but patients likely to be affected are difficult to identify beforehand. AIMS: This study aimed to develop, validate, and compare prediction models for bowel preparation inadequacy using conventional logistic regression (LR) and random forest machine learning (RFML). METHODS: We created a retrospective cohort of patients who underwent outpatient colonoscopy at a single VA medical center between January 2012 and October 2015. Candidate predictor variables were chosen after a literature review. We extracted all available predictor variables from the electronic medical record, and bowel preparation from the endoscopy database. The data were split into 70% training and 30% validation sets. Multivariable LR and RFML were used to predict preparation inadequacy as a dichotomous outcome. RESULTS: The cohort included 6,885 Veterans, of whom 964 (14%) had inadequate preparation. Using LR, the area under the receiver operating characteristic curve (AUC) for the validation cohort was 0.66 (95% CI 0.62, 0.69) and the Brier score, in which a lower score indicates better performance, was 0.11. Using RFML, the AUC for the validation cohort was 0.61 (95% CI 0.58, 0.65) and the Brier score was 0.12. CONCLUSIONS: LR and RFML had similar performance in predicting bowel preparation, which was modest and likely insufficient for use in practice. Future research is needed to identify additional predictor variables and to test other machine learning algorithms. At present, endoscopy units should focus on universal strategies to enhance preparation adequacy.

Measuring impact of a quality improvement initiative on glaucoma clinic flow using an automated real-time locating system.

BACKGROUND: Lean methodology helps maximize value by reducing waste, first by defining what value and waste are in a system. In ophthalmology clinics, value is determined by the number of patients flowing through the clinic for a given time. We aimed to increase value using a lean-methodology guided policy change, then assessed its impact on clinic flow using an automated radiofrequency identification (RFID) based real-time locating system (RTLS). METHODS: A total of 6813 clinical visits occurred at a single academic institution's outpatient glaucoma clinic between January 5, 2018 to July 3, 2018. Over that period, 1589 patients comprising 1972 (29%) of visits were enrolled, with 1031 clinical visits occurring before and 941 visits after a policy change. The original policy was to refract all patients that improved with pinhole testing. The policy change was not to refract patients with a visual acuity ≥20/30 unless a specific request was made by the patient. Pre-post analysis of an automated time-motion study was conducted for the data collected 3 months before and 3 months after the policy change occurred on March 30, 2018. Changes to process and wait times were summarized using descriptive statistics and fitted to linear mixed regression models adjusting for appointment type, clinic volume, and daily clinic trends. RESULTS: One thousand nine hundred twenty-three visits with 1588 patients were included in the analysis. Mean [SD] age was 65.9 [14.7] years and 892 [56.2%] were women. After the policy change, technician process time decreased by 2.9 min (p < 0.0001) while daily clinical patient volume increased from 51.9 ± 16.8 patients to 58.4 ± 17.4 patients (p < 0.038). No significant difference was found in total wait time (p = 0.18) or total visit time (p = 0.83). CONCLUSIONS: Real-time locating systems are effective at capturing clinical flow data and assessing clinical practice change initiatives. The refraction policy change was associated with reduced technician process time and overall the clinic was able to care for 7 more patients per day without significantly increasing patient wait time.

Discrimination, Substance Use, and Mental Health among Sexual and Gender Minority Adults Accessing Day Shelter Services.

BACKGROUND: Sexual and gender minority (SGM) adults are overrepresented in the population of individuals experiencing homelessness, and high rates of substance use are common in this group. Plausibly, poor mental health and discrimination may contribute to substance use among SGM adults experiencing homelessness. This study described participant characteristics, and the interrelations among sociodemographic variables, substance use, mental health, and discrimination experiences among 87 SGM adults seeking services at a day shelter in Oklahoma City, OK. Discrimination experiences were characterized by race (White vs. non-White), sex (female vs. male), sexual identity (heterosexual vs. sexual minority), and gender identity (gender conforming vs. gender minority). METHODS: Participants reported their past 30-day tobacco (cigarette/cigarillos, alternative tobacco products [ATP]), alcohol, and marijuana use, as well as everyday and lifetime major discrimination experiences, substance use problems, depression, anxiety, and post-traumatic stress disorder (PTSD). Independent samples t-tests examined differences in discrimination based on substance use and mental health. RESULTS: Participants had high rates of tobacco and marijuana use, substance use problems, depression, anxiety, and PTSD. Over 80% reported experiencing everyday or lifetime major discrimination. Depression and PTSD were associated with ATP use, and anxiety was associated with alcohol use. All mental health variables were associated with substance use problems and everyday discrimination. Depression was associated with lifetime major discrimination. CONCLUSIONS: SGM adults accessing shelter services frequently experienced discrimination and poor mental health, and substance use was common. Future research should examine the causal impact of discrimination on mental health and substance use among SGM adults experiencing homelessness.

Designing and validating a low-cost real time locating system to continuously assess patient wait times.

OBJECTIVE: Outpatient clinics lack infrastructure to easily measure and understand patient wait times. Our objective was to design a low-cost, portable passive real time locating system within an outpatient clinic setting to measure patient wait times and patient-provider interactions. MATERIALS AND METHODS: Direct observation was used to determine workflow in an outpatient glaucoma clinic at the University of Michigan. We used off-the shelf, antenna-integrated ultra-high frequency (UHF) RFID readers (ThingMagic, Astra-Ex, Woburn, MA) and UHF re-useable passive RFID tags (Zebra Impinj Monza 4QT, Seattle, WA). We designed a custom RFID management application in the Java programming language that was equipped with 'live' device administration to collect time and location data from patients and providers. These hardware choices enabled low cost system installation. Hidden Markov Modeling (HMM) was used to smooth patient and provider location data. Location data were validated against direct observations and EHR evaluation. RESULTS: The HMM smoothed RFID system data accurately predicted patient location 80.6% of the time and provider location 79.1% of the time, compared to direct observation locations, an improvement over the raw RFID location data (65.0% and 77.9% accurate, respectively). Patient process time was on average 42.8 min (SD = 27.5) and wait time was 47.9 min (SD = 33.1). The installation and recurring capital costs of the system are approximately 10% of available commercially-supplied patient/provider tracking systems. DISCUSSION: Passive RFID time study systems can enable real-time localization of people in clinic, facilitating continuous capture of patient wait times and patient-provider interactions. The system must be tailored to the clinic to accurately reflect patient and provider movement. CONCLUSIONS: Capturing wait time data continuously and passively can empower continuous clinical quality improvement initiatives to enhance the patient experience.

Correction: Optimizing Text Messages to Promote Engagement With Internet Smoking Cessation Treatment: Results From a Factorial Screening Experiment.

[This corrects the article DOI: 10.2196/17734.].