Comparison of Sampling Strategies for Tobacco Retailer Inspections to Maximize Coverage in Vulnerable Areas and Minimize Cost

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.

Using place-based characteristics to inform FDA tobacco sales inspections: results from a multilevel propensity score model

BACKGROUND

Conducting routine inspections for compliance with age-of-sale laws is essential to reducing underage access to tobacco. We seek to develop a multilevel propensity score model (PSM) to predict retail violation of sales to minors (RVSM).

METHODS

The Food and Drug Administration compliance check of tobacco retailers with minor-involved inspections from 2015 to 2019 (n=683 741) was linked with multilevel data for demographics and policies. Generalised estimating equation was used to develop the PSM using 2015-2016 data to predict the 2017 RVSM. The prediction accuracy of the PSM was validated by contrasting PSM deciles against 2018-2019 actual violation data.

RESULTS

In 2017, 44.3% of 26 150 zip codes with ≥1 tobacco retailer had 0 FDA underage sales inspections, 11.0% had 1 inspection, 13.5% had 2-3, 15.3% had 4-9, and 15.9% had 10 or more. The likelihood of having an RVSM in 2017 was higher in zip codes with a lower number of inspections (adjusted OR (aOR)=0.988, 95% CI (0.987 to 0.990)) and penalties (aOR=0.97, 95% CI (0.95 to 0.99)) and a higher number of violations (aOR=1.07, 95% CI (1.06 to 1.08)) in the previous 2 years. Urbanicity, socioeconomic status, smoking prevalence and tobacco control policies at multilevels also predicted retail violations. Prediction accuracy was validated with zip codes with the highest 10% of the PSM 3.4 times more likely to have retail violations in 2019 than zip codes in the bottom decile.

CONCLUSION

The multilevel PSM predicts the RVSM with a good rank order of retail violations. The model-based approach can be used to identify hot spots of retail violations and improve the sampling plan for future inspections.

Beyond Strong Enforcement: Understanding the Factors Related to Retailer Compliance With Tobacco 21

INTRODUCTION

Tobacco 21 (T21), which sets the minimum legal sales age for tobacco to age 21, is now a national law in the United States. Although T21 is expected to help curb youth tobacco use, its impact may be dampened due to poor retailer compliance. Even within environments where enforcement is strong (ie, compliance checks are conducted with tough sanctions for violations), compliance might vary due to other factors.

AIMS AND METHODS

Three studies were conducted in Columbus, OH, where T21 became strongly enforced in 2018. These studies examined how retailer compliance related to features of the neighborhood in which a retailer was located (Study 1), features of the retailer (Study 2), and features of the retail cashier (Study 3).

RESULTS

Study 1 found that, after controlling for race- and age-based factors, retailers located in high (vs. low)-poverty neighborhoods had a lower likelihood of conducting identification (ID) checks. Study 2 found that ID checks were related to whether retailers displayed signage about T21, as required by the city law. Study 3 found that, among cashiers, T21 awareness (which was high) and perceptions about T21 (which were moderate) were not generally related to their retailer's compliance; having (vs. not having) scanners for ID checks was related to a higher likelihood of compliance.

CONCLUSIONS

These studies emphasize the many, multilevel factors influencing T21 outcomes. Findings also indicate the potential for T21 to widen disparities in tobacco use, indicating the need for strategies to equitably improve T21 compliance.

IMPLICATIONS

T21, which sets the minimum legal sales age for all tobacco products to age 21, is now a national law in the United States. Despite optimistic projections about what T21 could achieve, the ultimate impact may be dampened when it is applied in real-world settings. Our project revealed the many, multilevel factors influencing T21 compliance. Findings also indicate the potential for T21 to widen disparities in tobacco use if gaps in compliance persist. Strategies for equitably improving T21 compliance are discussed. This article is of relevance to areas interested in implementing or improving their local T21 enforcement.

Evaluation of neighborhood deprivation and store characteristics in relation to tobacco retail outlet sales violations

INTRODUCTION

Regulations of the sale of tobacco products to minors have been effective at reducing adolescent tobacco use overall. However, these efforts may not be uniformly enforced in all areas, creating uneven protection against adolescent smoking. Knowledge regarding factors associated with tobacco retail outlet (TRO) violations could help inform better enforcement strategies.

METHODS

In this study, we used Bayesian index regression models to determine if tobacco sales to minors violations across Virginia (2012-2021) were related to store characteristics and neighborhood deprivation and identify geographic areas at significantly elevated risk for violations after adjusting for these factors.

RESULTS

Results show that there were multiple factors associated with a higher likelihood of tobacco sales violations. Store type was an important factor, as grocery stores and pharmacies had significantly lowered likelihood of violations compared with convenience stores. Being located near another TRO was significantly associated with increased risk of sales to a minor. Neighborhood deprivation was also positively associated with TRO sales violations. Further, there were statistically higher likelihood of sales violations occurring in specific areas (e.g., southwest and southeast) of the state that were not explained by neighborhood deprivation and store attributes.

CONCLUSIONS

Together, results highlight the need to better understand where and why TRO sales violations are occurring in order to improve efforts aimed at monitoring and remediating TRO sales violations.

Area based stratified random sampling using geospatial technology in a community-based survey

BACKGROUND

Most studies among Hispanics have focused on individual risk factors of obesity, with less attention on interpersonal, community and environmental determinants. Conducting community based surveys to study these determinants must ensure representativeness of disparate populations. We describe the use of a novel Geographic Information System (GIS)-based population based sampling to minimize selection bias in a rural community based study.

METHODS

We conducted a community based survey to collect and examine social determinants of health and their association with obesity prevalence among a sample of Hispanics and non-Hispanic whites living in a rural community in the Southeastern United States. To ensure a balanced sample of both ethnic groups, we designed an area stratified random sampling procedure involving three stages: (1) division of the sampling area into non-overlapping strata based on Hispanic household proportion using GIS software; (2) random selection of the designated number of Census blocks from each stratum; and (3) random selection of the designated number of housing units (i.e., survey participants) from each Census block.

RESULTS

The proposed sample included 109 Hispanic and 107 non-Hispanic participants to be recruited from 44 Census blocks. The final sample included 106 Hispanic and 111 non-Hispanic participants. The proportion of Hispanic surveys completed per strata matched our proposed distribution: 7% for strata 1, 30% for strata 2, 58% for strata 3 and 83% for strata 4.

CONCLUSION

Utilizing a standardized area based randomized sampling approach allowed us to successfully recruit an ethnically balanced sample while conducting door to door surveys in a rural, community based study. The integration of area based randomized sampling using tools such as GIS in future community-based research should be considered, particularly when trying to reach disparate populations.

Retail violations of sales to minors on e-cigarettes and cigars

OBJECTIVES

The finalized 'Deeming Rule' extended the Food and Drug Administration (FDA) authority to regulate e-cigarettes, cigars, and other newly deemed tobacco products. We seek to assess the neighborhood characteristics associated with retail violations of sales to minors (RVSM) by tobacco product.

STUDY DESIGN

We collected national inspection data on tobacco retailers during August 8, 2016, and May 31, 2018, from the FDA compliance check database.

METHODS

A web scraping tool was applied to text mine the FDA decision letters and extract information on the tobacco product involved in RVSM. Separate logistic regression models with random effects were performed to examine the association between zip code-level neighborhood characteristics and RVSM by tobacco product.

RESULTS

Of 268,317 minor-involved compliance inspections, 35,403 (13.2%) were identified as RVSM. Among 23,352 warning letters included in the final analysis, e-cigarettes, cigars, cigarettes, and smokeless tobacco accounted for 20.0% (n = 4673), 40.4% (9439), 35.6% (8303), and 4.0% (937) of RVSM, respectively. Flavored tobacco products were abundant among underage sales. For e-cigarettes, RVSM were more likely to occur in zip codes with a larger proportion of youth population aged 10-17 years (adjusted odds ratio [AOR] = 1.17 [1.02-1.34]). A larger proportion of African Americans was associated with a higher risk of RVSM for cigars (AOR = 1.09 [1.07-1.11]) but a lower risk of RVSM for e-cigarettes (AOR = 0.90 [0.87-0.93]).

CONCLUSIONS

Retail violations of underage sales for cigars and e-cigarettes are prevalent and neighborhood characteristics associated with violations differ by tobacco product. Continued inspections with tailored strategies to reduce RVSM of all tobacco products are needed.

Health claims made in vape shops: an observational study and content analysis

BACKGROUND

Prior to the final deeming rule, federal law in the USA prohibited electronic cigarettes (e-cigarettes) from being marketed as smoking cessation products; for other therapeutic purposes and in ways that conveyed Food and Drug Administration (FDA) approval/endorsement. After August 2016, additional federal prohibitions were added including false/misleading and unauthorised modified risk tobacco product (MRTP) claims. No systematic investigation of e-cigarette health claims has been conducted in the retail environment. We sought to document and characterise claims made in vape shops.

METHODS

Between November 2015 and February 2016, before final deeming rule implementation, two trained data collectors conducted unannounced observational assessments of 46 vape shops in North Carolina. Data collectors used wearable imaging technology to document health claims about e-cigarettes. Photos were coded for five claim types: (1) cessation device; (2) drug effect/device; (3) FDA-approved/endorsed; (4) false/misleading and (5) MRTP. Photos were double coded; differences between coders were adjudicated and reviewed by an expert panel.

RESULTS

At least one health claim was displayed in 41.3% (n=19) of retailers, ranging from 0 to 27 claims per retailer. All claim types were found. Cessation device claims were the most prevalent (62.2%, n=84), followed by MRTP (27.4%, n=37), drug effect/device (8.1%, n=11), false/misleading (1.5%, n=2), and FDA approved/endorsed (0.7%, n=1). Retail chains made the majority of claims compared with independent shops (88.9% vs 11.1%).

CONCLUSIONS

Many vape shops displayed e-cigarette health claims, which are all now FDA prohibited. These claims could mislead consumers and influence behaviour. Findings highlight the need for retailer education, continued surveillance, enforcement specific to advertising and research on consumer perceptions of claims.

Tapping Into Multiple Data "Springs" to Strengthen Policy Streams: A Guide to the Types of Data Needed to Formulate Local Retail Tobacco Control Policy

In 2015, the tobacco industry spent $8.24 billion to market tobacco products in convenience stores, supermarkets, pharmacies, and other retail or point-of-sale settings. Community tobacco control partnerships have numerous evidence-based policies (eg, tobacco retailer licensing and compliance, tobacco-free–school buffer zones, eliminating price discounts) to counter point-of-sale tobacco marketing. However, deciding which point-of-sale policies to implement — and when and in what order to implement them — is challenging. The objective of this article was to describe tools and other resources that local-level tobacco use prevention and control leaders can use to assemble the data they need to formulate point-of-sale tobacco policies that fit the needs of their communities, have potential for public health impact, and are feasible in the local policy environment. We were guided by Kingdon’s theory of policy change, which contends that windows of policy opportunity open when 3 streams align: a clear problem, a solution to the problem, and the political will to work for change. Community partnerships can draw on 7 data “springs” to activate Kingdon’s streams: 1) epidemiologic and surveillance data, 2) macro retail environment data, 3) micro retail environment data, 4) the current policy context, 5) local legal feasibility of policy options, 6) the potential for public health impact, and 7) political will.