Tobacco Retail Licensing and Density 3 Years After License Regulations in Philadelphia, Pennsylvania (2012-2019).

Objectives. To evaluate changes in licensed tobacco retailers and retailer density 5 years before and 3 years after novel tobacco retailer licensing regulations were implemented in a large, urban area.Methods. We used administrative tobacco license data (n = 23 806 licenses, 2012-2019) to calculate (1) annual retailer density by district (n = 18), (2) density by district and school income status, and (3) retailers within 500 feet of schools (n = 673) before and after regulations.Results. Observed tobacco retailer density declined by 20.3% (from 1.97 to 1.57 per 1000 daytime residents) 3 years after regulation implementation. Regression results showed a decline in the trend of retailers per 1000 daytime population (b = -0.19; 95% confidence interval[CI] = -0.23, -0.14) that was modestly but significantly greater in low-income districts (interaction b = -0.18; 95% CI = -0.25, -0.11) and a 12% decline in the rates of retailers near schools (rate ratio = 0.88; 95% CI = 0.85, 0.92) following implementation of the regulations. We did not observe similar density changes in comparable cities.Conclusions. Tobacco retailer licensing strategies can be an effective policy approach to reduce the availability of tobacco and tobacco marketing, lessen socioeconomic disparities in tobacco retailer density, and decrease the number of tobacco outlets near schools.

Changes in voluntary admission and restraint use after a comprehensive tobacco-free policy in inpatient psychiatric health facilities.

Background: Cardiovascular and respiratory diseases, predominantly due to tobacco use, are the leading causes of death among individuals with serious and persistent mental illness. However, many psychiatric health facilities do not routinely treat tobacco use disorder. The purpose of the current study was to examine the impact of implementing a tobacco-free policy in inpatient psychiatric health facilities in a large, urban setting on behavioral problems, treatment access, and tobacco treatment. Methods: Data on seclusion and restraint incidents, voluntary commitment at admission for each hospitalization episode, and nicotine replacement therapy (NRT) prescriptions were collected through secondary analysis of Medicaid administrative records from baseline in January 2015 (n = 8983) to follow-up in December 2016 (n = 9685) at 14 inpatient psychiatric health facilities. Results: There were no significant changes from baseline to follow-up in odds of seclusion and restraint incidents or voluntary admission status. There was a significant increase in the odds of NRT prescriptions at both 30 and 180 days post discharge (odds ratio [OR] range = 1.58-2.09, P < .01). Conclusions: In a large, urban setting among Medicaid enrollees, implementation of a tobacco-free policy in inpatient psychiatric health facilities had no negative impact on behavioral problems or treatment access and improved access to NRT, although overall NRT use remained low. This study challenges perceptions among some providers that addressing tobacco use disorder will negatively impact treatment outcomes in individuals with serious mental illness. These findings support tobacco-free policies in psychiatric health facilities and the role of psychiatric health providers in treating tobacco use in this population, which is at high risk for tobacco-related mortality.

Smoke-Free Outdoor Seating Policy: 1-Year Changes in Compliance of Bars and Restaurants in Philadelphia.

PURPOSE: To evaluate changes in compliance with a smoke-free outdoor seating policy before and after passage of a local regulation in 2015, which reinterpreted Philadelphia's Clean Indoor Air Worker Protection Law to include outdoor seating areas of food or beverage establishments. DESIGN: Natural experiment. SETTING: Philadelphia, Pennsylvania. SAMPLE: Food or beverage establishments (N = 108). Establishments were comprised of sit-down restaurants, cafes, quick-service restaurants, and bars. MEASURES: Presence of outdoor smoking and smoking-related litter on a given day were measured as binary variables. A geographic information system-based survey developed for this study was used to collect observational data. ANALYSIS: Logistic regressions were used to determine the change in odds of observing outdoor smoking and smoking-related litter on a given day from baseline (preregulation) to follow-up (postregulation). RESULTS: Compliance with smoke-free outdoor seating increased from 84.5% to 95.4% after passage and implementation of the regulation. Results showed a significant 75% decrease (odds ratio [OR]: = 0.25, 95% confidence interval [CI]: 0.08-0.67) in odds of outdoor smoking and a slight decrease in smoking-related litter (OR: 0.81, 95% CI: 0.39-1.65) at follow-up in establishments overall. However, at baseline, bars had higher odds of outdoor smoking (OR: 2.68, 95% CI: 0.57-12.72) and smoking-related litter (OR: 4.09, 95% CI:, 1.87-9.49) compared to sit-down restaurants. CONCLUSION: Results suggest there is high compliance with low-cost, low-burden, smoke-free outdoor seating policy and that enforcement is best targeted toward bars.

Characteristics of tobacco purchases in urban corner stores.

INTRODUCTION: To examine the prevalence and patterns of tobacco purchases at low-income, urban corner stores. METHODS: Data on tobacco products and other purchases were collected through direct observation of customers' purchases (n=6369) at 120 urban corner stores in Philadelphia, Pennsylvania, from April to September 2012. RESULTS: Overall 13% of corner store purchases included tobacco products. The majority (61%) of tobacco purchases did not include any other products, and 5.1% of all purchases from corner stores included a food or beverage and tobacco product. Approximately 24% of tobacco purchases were for lower-cost tobacco products such as cigars and cigarillos, and nearly 5% of tobacco purchases were an illegal purchase of a single, unpackaged tobacco product that is not intended for individual sale (ie, loosies). There was no difference in the average amount spent on food or beverages when purchased with (US$2.55, 95% CI: 2.21 to 2.88) or without (US$2.55, 95% CI: 2.48 to 2.63) tobacco products. CONCLUSIONS: In low-income, urban corner store settings, 87% of purchases did not include tobacco; most tobacco purchases did not include the sale of non-tobacco items and spending on non-tobacco items was similar whether or not tobacco was purchased. These findings can help inform retail-level tobacco sales decisions, such as voluntary discontinuation of tobacco products or future public health policies that target tobacco sales. The results challenge prevailing assumptions that tobacco sales are associated with sales of other products in corner stores, such as food and beverages.

Secondhand Smoke Exposure and Smoke-free Policy in Philadelphia Public Housing.

OBJECTIVES: Multi-unit housing environments remain significant sources of secondhand smoke (SHS) exposure, especially for vulnerable populations in subsidized housing. In Philadelphia, the largest US housing authority to implement smoke-free policies, we measured baseline resident smoking-related behaviors and attitudes, and longitudinal exposures to airborne nicotine, during policy development and implementation. METHODS: In 4 communities, we collected data in 2013, 2014, and 2016, before and after introduction of comprehensive smoke-free policies, interviewing persons in 172 households, and monitoring air-borne nicotine in non-smoking homes and public areas. Average nicotine level differences across years were estimated with multi-level models. RESULTS: Fifty-six percent of respondents smoked. Only 37% of households were smoke-free, with another 41% restricting smoking by area or time of day. The number of locations with detectable nicotine did not differ before and after policy implementation, with approximately 20% of non-smoking homes and 70%-80% of public areas having detectable nicotine. However, public area nicotine levels were lower in 2016, after policy implementation, than in 2013 and 2014 (-0.19 µg/m3, p = .03). CONCLUSIONS: Findings suggest that initial policy implementation was associated with reduced SHS exposure in Philadelphia. As HUD strengthens smoke-free policies, SHS monitoring can be useful to educate stakeholders and build support for policy enforcement.

Concentration of tobacco advertisements at SNAP and WIC stores, Philadelphia, Pennsylvania, 2012.

INTRODUCTION: Tobacco advertising is widespread in urban areas with racial/ethnic minority and low-income households that participate in nutrition assistance programs. Tobacco sales and advertising are linked to smoking behavior, which may complicate matters for low-income families struggling with disparate health risks relating to nutrition and chronic disease. We investigated the relationship between the amount and type of tobacco advertisements on tobacco outlets and the outlet type and location. METHODS: By using field visits and online images, we inspected all licensed tobacco retail outlets in Philadelphia (N = 4,639). Point pattern analyses were used to identify significant clustering of tobacco outlets and outlets with exterior tobacco advertisements. Logistic regression was used to analyze the relationship between the outlet's acceptance of Supplemental Nutrition Assistance Program (SNAP) and Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and the presence of tobacco advertisements. RESULTS: Tobacco outlets with exterior tobacco advertisements were significantly clustered in several high-poverty areas. Controlling for racial/ethnic and income composition and land use, SNAP and WIC vendors were significantly more likely to have exterior (SNAP odds ratio [OR], 2.11; WIC OR, 1.59) and interior (SNAP OR, 3.43; WIC OR, 1.69) tobacco advertisements than other types of tobacco outlets. CONCLUSION: Tobacco advertising is widespread at retail outlets, particularly in low-income and racial/ethnic minority neighborhoods. Policy makers may be able to mitigate the effects of this disparate exposure through tobacco retail licensing, local sign control rules, and SNAP and WIC authorization.