Philadelphia Beverage Tax's Impact on Beverage Ad Expenditures and Number of Ads Purchased.

INTRODUCTION: On January 1, 2017, Philadelphia implemented a beverage excise tax. The study's objective was to determine whether beverage advertising expenditures and the number of beverage ads purchased changed in Philadelphia compared to Baltimore because of this tax. METHODS: Monthly beverage ad expenditures and the number of beverage ads purchased by brand from January 2016 through December 2019 were obtained. Ads were coded as being for taxed or not taxed beverages and analyzed in 2023. The primary outcomes were quarterly taxed beverage ad expenditures and number of ads purchased. A controlled interrupted time series design on segmented linear regression models was used. Models (aggregated and stratified by internet, spot TV, and local radio) compared whether levels and trends in the outcomes changed from pre- to post-tax in Philadelphia compared to Baltimore. RESULTS: There were no significant differences in taxed beverage advertising expenditures between Philadelphia and Baltimore for trends pretax, at implementation, or post-tax. There were 0.13 (95% CI: -0.25, -0.003) fewer quarterly taxed beverage ads purchased per 100 households in Philadelphia versus Baltimore at baseline. Among internet advertising, there were 0.42 (95% CI: -0.77, -0.06) fewer quarterly taxed beverage ads purchased per 100 households in Philadelphia versus Baltimore immediately post-tax. For spot TV ads, the percentage of taxed beverages ads purchased per quarter was greater at baseline in Philadelphia by 28.0 percentage points (95% CI: 1.9, 54.1). CONCLUSIONS: This study found little evidence of changes in mass media advertising on the examined platforms between 2016 and 2019 due to the Philadelphia beverage tax.

Institutional Efforts to Address Legacies of Slavery-Implications for the Health Care System.

This JAMA Forum discusses the legacies of slavery, efforts underway at colleges and universities to explore and address the legacies of slavery, and health care system actions to address structural racism.

Impact of the Philadelphia Beverage Tax on Perceived Beverage Healthfulness, Tax Awareness, and Tax Opinions.

OBJECTIVE: To assess the impact of the Philadelphia Beverage Tax on perceived beverage healthfulness, and awareness and opinions of the tax. DESIGN: Natural experiment SETTING: Small independent stores in Philadelphia (n = 61) and Baltimore (untaxed control site; n = 65) PARTICIPANTS: Shoppers in Philadelphia (n = 2,731) and Baltimore (n = 4,600) pre- and post-tax implementation. MAIN OUTCOME MEASURES: Perceptions of 4 beverages (unhealthy vs healthy/neutral), tax awareness, and tax opinions (oppose vs favor/neutral). ANALYSIS: Mixed-effects linear probability models estimated changes in perceived beverage healthfulness in Philadelphia, relative to Baltimore, following a difference-in-differences approach. Mixed-effects linear probability models estimated pre-post changes in tax awareness and opinions in Philadelphia-only. RESULTS: The probability of perceiving taxed beverages as unhealthy increased 2-years post-tax relative to Baltimore (regular soda: 5.7% [95% confidence interval (CI), 0.9-10.6], P = 0.02; diet soda: 7.7% [95% CI, 1.5-13.8], P < 0.001; sports drinks: 6.4% [95% CI, 0.4-12.4], P = 0.04), with similar changes at 1-year post-tax, whereas perceived healthfulness of untaxed 100% fruit juice did not change. Tax awareness was high at baseline (72%) and increased post-implementation; however, the probability of opposing the tax (22%) also increased over time. CONCLUSIONS AND IMPLICATIONS: Decreases in the perceived healthfulness of taxed beverages suggest the tax had a health-signaling effect. Consumer awareness and health education efforts could complement tax policies to enhance understanding of health risks.

Advertising and Stocking at Small Retailers: A Sweetened Beverage Excise Tax in Philadelphia.

INTRODUCTION: In 2017, Philadelphia enacted a $0.015 per ounce excise tax on SBs that covered both sugar-sweetened beverages and artificially-sweetened beverages, which reduced purchasing and consumption. This study assessed whether the tax also changed beverage advertising or stocking practices that could influence consumer behavior among stores in Philadelphia, Baltimore, and Philadelphia-adjacent counties not subject to the tax. METHODS: Using a longitudinal difference-in-differences approach, beverage advertising and availability changes were evaluated from 4-month pretax to 6-, 12-, and 24-month post-implementation in small independent stores in Philadelphia (n=34) and Philadelphia-adjacent counties (n=38) versus Baltimore (n=43), a demographically similar city without a tax. Mixed effects models tested whether beverage advertising/availability increased in Philadelphia and surrounding counties after implementation versus Baltimore, included store-level random intercepts, and were stratified by beverage tax status, type, size, and store ZIP code income. Data were collected from 2016 to 2018, and analyses were performed in 2022-2023. RESULTS: SB advertising increased post-tax in Philadelphia (6 months= +1.04 advertisements/store [95% CI=0.27, 1.80]; 12 months= +1.54 [95% CI=0.57, 2.52]; 24 months= +0.91 [95% CI=0.09, 1.72]) relative to Baltimore. This was driven by increased advertising of sweetened beverages in low-income ZIP codes. Marketing of SBs increased significantly in Philadelphia-adjacent counties relative to Baltimore. Although SB availability in Philadelphia did not change, it increased in surrounding county stores (6 months= +0.20 [95% CI=0.15, 0.25]; 12 months= +0.08 [95% CI=0.03, 0.12]) relative to Baltimore. CONCLUSIONS: Marketing of SBs, especially in low-income neighborhoods and in surrounding counties, increased following Philadelphia's beverage tax among small, independent retailers. These increases in advertising might have dampened the tax's effect on purchasing behaviors, although estimated effects on sales remained large.

Cost Effectiveness of Calorie Labeling at Large Fast-Food Chains Across the U.S.

INTRODUCTION: Calorie labeling of standard menu items has been implemented at large restaurant chains across the U.S. since 2018. The objective of this study was to evaluate the cost effectiveness of calorie labeling at large U.S. fast-food chains. METHODS: This study evaluated the national implementation of calorie labeling at large fast-food chains from a modified societal perspective and projected its cost effectiveness over a 10-year period (2018-2027) using the Childhood Obesity Intervention Cost-Effectiveness Study microsimulation model. Using evidence from over 67 million fast-food restaurant transactions between 2015 and 2019, the impact of calorie labeling on calorie consumption and obesity incidence was projected. Benefits were estimated across all racial, ethnic, and income groups. Analyses were performed in 2022. RESULTS: Calorie labeling is estimated to be cost saving; prevent 550,000 cases of obesity in 2027 alone (95% uncertainty interval=518,000; 586,000), including 41,500 (95% uncertainty interval=33,700; 50,800) cases of childhood obesity; and save $22.60 in healthcare costs for every $1 spent by society in implementation costs. Calorie labeling is also projected to prevent cases of obesity across all racial and ethnic groups (range between 126 and 185 cases per 100,000 people) and all income groups (range between 152 and 186 cases per 100,000 people). CONCLUSIONS: Calorie labeling at large fast-food chains is estimated to be a cost-saving intervention to improve long-term population health. Calorie labeling is a low-cost intervention that is already implemented across the U.S. in large chain restaurants.

The Worsening Problem of Food Insecurity.

This JAMA Forum discusses disparities and food insecurity among underserved populations in the US, the actions being taken by states, tribal actions, and additional steps to ensure food and nutrition security.

Food Is Medicine Movement-Key Actions Inside and Outside the Government.

This JAMA Forum discusses the key food is medicine (FIM) actions being taken by the federal government and individual state governments and key nongovernmental actions that are advancing FIM.

Food Insecurity and Diabetes: Overview of Intersections and Potential Dual Solutions.

Food insecurity increases the risk of developing diabetes and its complications. In this article, we describe the complex relationship that exists between food insecurity and diabetes and describe potential mechanisms that may underlie this association. We then describe how two different types of interventions, food-is-medicine and federal nutrition assistance programs, may help address both food insecurity and health. Finally, we outline the research, policy, and practice opportunities that exist to address food insecurity and reduce diabetes-related health disparities.

Opportunities to Promote Food and Nutrition Security as the Federal Public Health Emergency Ends.

This JAMA Forum discusses key changes to the social safety net after the COVID-19 public health emergency ends and provides information regarding the ways health care professionals can support individuals experiencing food and nutrition security.

Reflections on federal service in the executive branch.

This article provides reflections on federal service in the Executive Branch, including recent experiences, key lessons learned, and advice to researchers interested in interacting with policymakers.

Adherence to Healthy Default Beverage Laws for Children's Meals in 3 U.S. Cities.

INTRODUCTION: Healthy default beverage laws are relatively new interventions designed to improve the healthfulness of children's meals in restaurants. In this study, researchers assessed adherence to healthy default beverage laws among children's meals ordered online in Los Angeles (California statewide law effective from September 2018), Baltimore (effective from April 2018), and New York City (effective from April 2019) compared with that in Boston, where no law existed. METHODS: Between November and December 2020, researchers ordered children's meals from online ordering platforms (e.g., GrubHub, Uber Eats) from the top-grossing restaurant chains in each location (n=337 meal orders from 106 restaurants), coded these meals using four successively stricter definitions of adherence to the default beverage laws in each respective jurisdiction, and then applied each law to data collected in Boston to simulate different policy scenarios in a city with no such law. The team analyzed these data in late 2021. RESULTS: Differences in adherence existed across jurisdictions, with 15% adherent in Los Angeles, 30% in Baltimore, and 43% in New York City, compared with 7%-30% in Boston, using the most lenient definition of adherence. Fewer than 3% of all meals adhered to laws when applying the strictest definition of adherence. CONCLUSIONS: Overall adherence was low and variable across jurisdictions. Adherence may be lower in jurisdictions with fewer allowable default beverages, although more research is needed to assess this potential causal relation. In addition to increased resources and support for restaurants, additional policy design considerations may be necessary to increase adherence to healthy default beverage laws.

Integration and coordination across public benefit programs: Insights from state and local government leaders in the United States.

•Integration across public benefit programs could streamline access to services.•Modernized technology and shared missions among agencies promote integration.•Limited financial resources and insufficient guidance hinder integration.•State agencies view integration as a way to create human-centered experiences.•Additional resources from federal agencies could help establish greater integration.

A Descriptive Analysis of Redemption Patterns by Vendor Type Among: WIC Participants in Massachusetts.

BACKGROUND: The retail environment is an important determinant of food package redemption in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). OBJECTIVE: The objectives of this study were to describe where Massachusetts WIC households redeemed their food benefits each month and monthly variations in benefit redemption depending on a household's most frequently used vendor type each month. DESIGN: These were cross-sectional and longitudinal analyses of administrative data provided by Massachusetts WIC. PARTICIPANTS/SETTING: Monthly redemption data for 209,973 households shopping at approximately 1,000 unique vendors between January 2015 and August 2019 were analyzed. MAIN OUTCOME MEASURES: Outcomes were mean monthly percentage of households that relied on each vendor type when redeeming benefits and mean monthly percent redemption for each benefit category. STATISTICAL ANALYSES PERFORMED: For each month, households were classified as using 1 of 8 vendor types. The monthly percentage of households redeeming at each vendor type was calculated, as well as the monthly percent redemption for each benefit category by vendor type. The averages of these monthly percentages were computed for 2015 and 2019. Data from months when households did not redeem any benefits were excluded from primary analyses because it was not possible to determine their vendor type for that month. RESULTS: On average across months in 2019, the majority of Massachusetts WIC households (63%) relied on large vendors only (ie, superstores, supermarkets, and large grocery stores) when redeeming benefits, and 5% relied on small grocery or convenience stores only. Between 2015 and 2019, mean monthly reliance on small grocery and convenience stores decreased by 3.1 and 0.7 percentage points, respectively. Compared with other vendor types, households that redeemed benefits at superstores only had, in an average month, lower redemption levels for most benefit categories. For example, in the 2019 mean across months, percent redemption of breakfast cereal was 53% among households redeeming at superstores only compared with 74% for those redeeming at small grocery stores only. By contrast, households that relied on small grocery stores only had, in an average month, lower redemption levels for yogurt and cash value benefit compared with other vendor types; for example, in the 2019 mean across months, percent redemption of yogurt was 34% among households redeeming at small grocery stores only compared with 62% among those redeeming at supermarkets only. CONCLUSIONS: Results suggest that retail-based efforts to increase redemption should consider vendor-type reliance. Strategies to increase redemption may be especially important for WIC shoppers relying on superstores.

New Federal Efforts to Address Food and Nutrition Insecurity.

This JAMA Forum discusses the expansion and improvement of federal food and nutrition programs, such as the Supplemental Nutrition Assistance Program and the Special Supplemental Nutrition Program for Women, Infants, and Children, to combat food insecurity.

Simplification of Supplemental Nutrition Assistance Program Recertification Processes and Association With Uninterrupted Access to Benefits Among Participants With Young Children.

Importance: In the Supplemental Nutrition Assistance Program (SNAP), families may temporarily lose benefits for which they are still eligible because of administrative issues. This lapse in benefits, referred to as churning, increases the risk of food insecurity for families, which is linked with poorer health. Objectives: To examine the rate of churning among SNAP participants with young children and evaluate the association of administrative policy changes with churning risk. Design, Setting, and Participants: A cross-sectional study of recertifications among 9735 SNAP-participating households with at least 1 child younger than 6 years from May to November 2019 tested whether there were sociodemographic differences in churning risk. An interrupted time series analysis of recertifications among 70 799 households from January 1, 2014, to December 31, 2019, tested whether state-level administrative policy changes were associated with churning risk. Data were analyzed between February and November 2021. Exposures: Three Massachusetts SNAP administrative policy changes. Main Outcomes and Measures: Churn episodes, defined as losing SNAP benefits after a deadline for eligibility recertification followed by receiving benefits again within 30 days, measured using state SNAP administrative data. Results: In 2019, a total of 9752 recertification events occurred among 9735 households (3841 [39.4%] Hispanic, 2138 [21.9%] non-Hispanic Black, and 3533 [36.2%] White) with at least 1 child younger than 6 years participating in SNAP. Of these households, 3984 (40.9%) experienced SNAP churning for a period of 1 to 30 days because of missed recertification forms in any given month. Churning was more common among Hispanic households (by 3.9 percentage points; 95% CI, 1.2-6.6 percentage points) than non-Hispanic White households and more common among households with more than 1 child younger than 6 years (by 5.6 percentage points; 95% CI, 3.0-8.1 percentage points) compared with smaller households. Among households that churned, non-Hispanic White households lost a mean of $10.51 (95% CI, $10.16-$10.86) in benefits per household member, and non-Hispanic Black households lost an additional $1.10 (95% CI, $0.47-$1.74) per household member. On implementation of a task-based, first-available-caseworker model, mean churn episode length was significantly shorter immediately on introduction of the model (-0.30 days per each month after the policy change; 95% CI, -0.52 to -0.07 days) and over time (-0.23 days per each month after the policy change; 95% CI, -0.26 to -0.20 days). At the addition of a second policy change to expand participants' access to simplified reporting requirements, a decrease was seen in the trend in the probability of a churn episode by -0.74 percentage points per month (95% CI, -0.87 to -0.62 percentage points). A third policy to expand online services for submitting recertification paperwork was not associated with a change in churn risk over time. Conclusions and Relevance: Churning in SNAP is common among households with young children and is disproportionately experienced by Black and Hispanic households and lower-income households. Administrative changes to simplify caseworkers' workloads and streamline eligibility reporting for participants may reduce churn.

Costs, Reach, and Benefits of COVID-19 Pandemic Electronic Benefit Transfer and Grab-and-Go School Meals for Ensuring Youths' Access to Food During School Closures.

Importance: School meals are associated with improved nutrition and health for millions of US children, but school closures due to the COVID-19 pandemic disrupted children's access to school meals. Two policy approaches, the Pandemic Electronic Benefit Transfer (P-EBT) program, which provided the cash value of missed meals directly to families on debit-like cards to use for making food purchases, and the grab-and-go meals program, which offered prepared meals from school kitchens at community distribution points, were activated to replace missed meals for children from low-income families; however, the extent to which these programs reached those who needed them and the programs' costs were unknown. Objective: To assess the proportion of eligible youths who were reached by P-EBT and grab-and-go meals, the amount of meals or benefits received, and the cost to implement each program. Design, Setting, and Participants: This cross-sectional study was conducted from March to June 2020. The study population was all US youths younger than 19 years, including US youths aged 6 to 18 years who were eligible to receive free or reduced-price meals (primary analysis sample). Exposures: Receipt of P-EBT or grab-and-go school meals. Main Outcomes and Measures: The main outcomes were the percentage of youths reached by P-EBT and grab-and-go school meals, mean benefit received per recipient, and mean cost, including implementation costs and time costs to families per meal distributed. Results: Among 30 million youths eligible for free or reduced-price meals, grab-and-go meals reached an estimated 8.0 million (27%) and P-EBT reached 26.9 million (89%). The grab-and-go school meals program distributed 429 million meals per month in spring 2020, and the P-EBT program distributed $3.2 billion in monthly cash benefits, equivalent to 1.1 billion meals. Among those receiving benefits, the mean monthly benefit was larger for grab-and-go school meals ($148; range across states, $44-$176) compared with P-EBT ($110; range across states, $55-$114). Costs per meal delivered were lower for P-EBT ($6.46; range across states, $6.41-$6.79) compared with grab-and-go school meals ($8.07; range across states, $2.97-$15.27). The P-EBT program had lower public sector implementation costs but higher uncompensated time costs to families (eg, preparation time for meals) compared with grab-and-go school meals. Conclusions and Relevance: In this economic evaluation, both the P-EBT and grab-and-go school meal programs supported youths' access to food in complementary ways when US schools were closed during the COVID-19 pandemic from March to June 2020.