Comparison of Sales From Vending Machines With 4 Different Food and Beverage Messages: A Randomized Trial.

Importance: Point-of-sale food messaging can encourage healthier purchases, but no studies have directly compared multiple interventions in the field. Objective: To examine which of 4 food and beverage messages would increase healthier vending machine purchases. Design, Setting, and Participants: This randomized trial assessed 13 months (February 1, 2019, to February 29, 2020) of vending sales data from 267 machines and 1065 customer purchase assessments from vending machines on government property in Philadelphia, Pennsylvania. Data analysis was performed from March 5, 2020, to November 8, 2022. Interventions: Study interventions were 4 food and beverage messaging systems: (1) beverage tax posters encouraging healthy choices because of the Philadelphia tax on sweetened drinks; (2) green labels for healthy products; (3) traffic light labels: green (healthy), yellow (moderately healthy), or red (unhealthy); or (4) physical activity equivalent labels (minutes of activity to metabolize product calories). Main Outcomes and Measures: Sales data were analyzed separately for beverages and snacks. The main outcomes analyzed at the transaction level were calories sold and the health status (using traffic light criteria) of each item sold. Additional outcomes were analyzed at the monthly machine level: total units sold, calories sold, and units of each health status sold. The customer purchase assessment outcome was calories purchased per vending trip. Results: Monthly sales data came from 150 beverage and 117 snack vending machines, whereas 1065 customers (558 [52%] male) contributed purchase assessment data. Traffic light labels led to a 30% decrease in the mean monthly number of unhealthy beverages sold (mean ratio [MR], 0.70; 95% CI, 0.55-0.88) compared with beverage tax posters. Physical activity labels led to a 34% (MR, 0.66; 95% CI, 0.51-0.87) reduction in the number of unhealthy beverages sold at the machine level and 35% (MR, 0.65; 95% CI, 0.50-0.86) reduction in mean calories sold. Traffic light labels also led to a 30-calorie reduction (b = -30.46; 95% CI, -49.36 to -11.56) per customer trip in the customer purchase analyses compared to physical activity labels. There were very few significant differences for snack machines. Conclusions and Relevance: In this 13-month randomized trial of 267 vending machines, the traffic light and physical activity labels encouraged healthier beverage purchases, but no change in snack sales, compared with a beverage tax poster. Corporations and governments should consider such labeling approaches to promote healthier beverage choices. Trial Registration: ClinicalTrials.gov Identifier: NCT06260176.

Incorporating clinician insight and care plans into an audit and feedback initiative for antipsychotic prescribing to Medicaid-enrolled youth in Philadelphia.

BACKGROUND: Audit and feedback (A/F), which include initiatives like report cards, have an inconsistent impact on clinicians' prescribing behavior. This may be attributable to their focus on aggregate prescribing measures, a one-size-fits-all approach, and the fact that A/F initiatives rarely engage with the clinicians they target. METHODS: In this study, we describe the development and delivery of a report card that summarized antipsychotic prescribing to publicly-insured youth in Philadelphia, which was introduced by a Medicaid managed care organization in 2020. In addition to measuring aggregate prescribing behavior, the report card included different elements of care plans, including whether youth were receiving polypharmacy, proper medication management, and the concurrent use of behavioral health outpatient services. The A/F initiative elicited feedback from clinicians, which we refer to as an "audit and feedback loop." We also evaluate the impact of the report card by comparing pre-post differences in prescribing measures for clinicians who received the report card with a group of clinicians who did not receive the report card. RESULTS: Report cards indicated that many youth who were prescribed antipsychotics were not receiving proper medication management or using behavioral health outpatient services alongside the antipsychotic prescription, but that polypharmacy was rare. In their feedback, clinicians who received report cards cited several challenges related to antipsychotic prescribing, such as the logistical difficulties of entering lab orders and family members' hesitancy to change care plans. The impact of the report card was mixed: there was a modest reduction in the share of youth receiving polypharmacy following the receipt of the report card, while other measures did not change. However, we documented a large reduction in the number of youth with one or more antipsychotic prescription fill among clinicians who received a report card. CONCLUSIONS: A/F initiatives are a common approach to improving the quality of care, and often target specific practices such as antipsychotic prescribing. Report cards are a low-cost and feasible intervention but there is room for quality improvement, such as adding measures that track medication management or eliciting feedback from clinicians who receive report cards. To ensure that the benefits of antipsychotic prescribing outweigh its risks, it is important to promote quality and safety of antipsychotic prescribing within a broader care plan.

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.

Gentrification Yields Racial And Ethnic Disparities In Exposure To Contextual Determinants Of Health.

This article examines racial and ethnic disparities in the relationship between gentrification and exposure to contextual determinants of health. In our study, we focused on changes in selected contextual determinants of health (health care access, social deprivation, air pollution, and walkability) and life expectancy during the period 2006-21 among residents of gentrifying census tracts in six large US cities that have experienced different gentrification patterns and have different levels of segregation: Chicago, Illinois; Los Angeles, California; New York, New York; Philadelphia, Pennsylvania; San Francisco, California; and Seattle, Washington. We found that gentrification was associated with overall improvements in the likelihood of living in Medically Underserved Areas across racial and ethnic groups, but it was also associated with increased social deprivation and reduced life expectancy among Black people, Hispanic people, and people of another or undetermined race or ethnicity. In contrast, we found that gentrification was related to better (or unchanged) contextual determinants of health for Asian people and White people. Our findings can inform policies that target communities identified to be particularly at risk for worsening contextual determinants of health as a result of gentrification.

Evaluation of Changes in Prices and Purchases Following Implementation of Sugar-Sweetened Beverage Taxes Across the US.

Importance: Sugar-sweetened beverage (SSB) taxes are promoted as key policies to reduce cardiometabolic diseases and other conditions, but comprehensive analyses of SSB taxes in the US have been difficult because of the absence of sufficiently large data samples and methods limitations. Objective: To estimate changes in SSB prices and purchases following SSB taxes in 5 large US cities. Design, Setting, and Participants: In this cross-sectional study with an augmented synthetic control analysis, changes in prices and purchases of SSBs were estimated following SSB tax implementation in Boulder, Colorado; Philadelphia, Pennsylvania; Oakland, California; Seattle, Washington; and San Francisco, California. Changes in SSB prices (in US dollars) and purchases (volume in ounces) in these cities in the 2 years following tax implementation were estimated and compared with control groups constructed from other cities. Changes in adjacent, untaxed areas were assessed to detect any increase in cross-border purchases. Data used for this analysis spanned from January 1, 2012, to February 29, 2020, and were analyzed between June 1, 2022, and September 29, 2023. Main Outcomes and Measures: The main outcomes were the changes in SSB prices and volume purchased. Results: Using nutritional information, 5500 unique universal product codes were classified as SSBs, according to tax designations. The sample included 26 338 stores-496 located in treated localities, 1340 in bordering localities, and 24 502 in the donor pool. Prices of SSBs increased by an average of 33.1% (95% CI, 14.0% to 52.2%; P < .001) during the 2 years following tax implementation, corresponding to an average price increase of 1.3¢ per oz and a 92% tax pass-through rate from distributors to consumers. SSB purchases declined in total volume by an average of 33.0% (95% CI, -2.2% to -63.8%; P = .04) following tax implementation, corresponding to a -1.00 price elasticity of demand. The observed price increase and corresponding volume decrease immediately followed tax implementation, and both outcomes were sustained in the months thereafter. No evidence of increased cross-border purchases following tax implementation was found. Conclusions and Relevance: In this cross-sectional study, SSB taxes led to substantial, consistent declines in SSB purchases across 5 taxed cities following price increases associated with those taxes. Scaling SSB taxes nationally could yield substantial public health benefits.

Perceived Benefits and Barriers to Implementing Occupational Health Recommendations Among Immigrant-Owned Nail Salons in the Greater Philadelphia Region.

Introduction. Immigrant nail salon owners and employees face multiple barriers to accessing occupational health training and services. We formed an academic-community-based organization-business owner partnership-unique in that all partners were culturally congruent-to develop a pilot intervention program for the nail salon community. Methods. Eighteen individuals (nine salon owners and nine employees) from the Greater Philadelphia region received the training in their native language and provided feedback through in-depth qualitative interviews. Interview guide was developed using the Consolidated Framework for Implementation Research (CFIR). Themes of perceived benefits and barriers were identified and aligned with relevant CFIR constructs to gain better understanding of the implementation challenges. Results. Reported benefits of program were improved knowledge of the workplace hazards and safety practices, and the potential to attract more customers and retain employees. Perceived barriers to implementing recommended practices were limited availability of safer products and high cost, challenges communicating with customers, lack of engagement from some owners, organizational management practices affecting employees' motivation, and limited partnership with local government to assist small immigrant-owned businesses. Conclusions. Our study revealed multiple factors that pit long-term health protection of nail salon workers against the economic viability of the businesses that employ them. Our research highlights the need to (1) advocate for federal policies making safer products to be more accessible to the masses, (2) establish local policy and culturally appropriate technical support programs that engage community-based organizations, and (3) develop economic opportunities and mentorship for immigrant entrepreneurs to operate profitable healthy salons.

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.

Building an Integrated Data Infrastructure to Examine the Spectrum of Suicide Risk Factors in Philadelphia Medicaid.

While there are many data-driven approaches to identifying individuals at risk of suicide, they tend to focus on clinical risk factors, such as previous psychiatric hospitalizations, and rarely include risk factors that occur in nonclinical settings, such as jails or emergency shelters. A better understanding of system-level encounters by individuals at risk of suicide could help inform suicide prevention efforts. In Philadelphia, we built a community-level data infrastructure that encompassed suicide death records, behavioral health claims, incarceration episodes, emergency housing episodes, and involuntary commitment petitions to examine a broader spectrum of suicide risk factors. Here, we describe the development of the data infrastructure, present key trends in suicide deaths in Philadelphia, and, for the Medicaid-eligible population, determine whether suicide decedents were more likely to interact with the behavioral health, carceral, and housing service systems compared to Medicaid-eligible Philadelphians who did not die by suicide. Between 2003 and 2018, there was an increase in the number of annual suicide deaths among Medicaid-eligible individuals, in part due to changes in Medicaid eligibility. There were disproportionately more suicide deaths among Black and Hispanic individuals who were Medicaid-eligible, who were younger on average, compared to suicide decedents who were never Medicaid-eligible. However, when we accounted for the racial and ethnic composition of the Medicaid population at large, we found that White individuals were four times as likely to die by suicide, while Asian, Black, Hispanic, and individuals of other races were less likely to die by suicide. Overall, 58% of individuals who were Medicaid-eligible and died by suicide had at least one Medicaid-funded behavioral health claim, 10% had at least one emergency housing episode, 25% had at least one incarceration episode, and 22% had at least one involuntary commitment. By developing a data infrastructure that can incorporate a broader spectrum of risk factors for suicide, we demonstrate how communities can harness administrative data to inform suicide prevention efforts. Our findings point to the need for suicide prevention in nonclinical settings such as jails and emergency shelters, and demonstrate important trends in suicide deaths in the Medicaid population.

Philadelphia Towards Racial and Environmental Equity (Philly TREEs): how a medical school can advance health equity through urban forestry in Philadelphia, PA, USA.

Inequity in access to urban greenspaces might contribute to health disparities in the USA via multiple pathways. Academic medical centres can promote health equity in their surrounding communities by partnering with community organisations to improve greenspace access in urban environments. Academic medical centres are also uniquely positioned to advance health-equity leadership among the next generation of doctors through medical-education initiatives; of particular importance is that medical professionals are involved in advocating for the expansion of greenspace access due to its direct relationship with human health and wellness. Furthermore, by focusing educational, research, and service endeavours on addressing the most important health issues within their communities, institutions could allocate some of their resources towards community greening as a form of preventive health investment. This Personal View describes our medical-student-led pilot project Philadelphia Towards Racial and Environmental Equity (Philly TREEs) at the Perelman School of Medicine (University of Pennsylvania, Philadelphia, PA, USA), which aims to improve tree equity and community wellness in Philadelphia. We highlight this project to show how academic medical institutions can help cities to achieve urban tree-canopy goals in an equitable way through community partnership and address disparities in the environment and in health.

Does Urban Greenspace Reduce Mortality Inequalities Based on Poverty, Race, or Both in Philadelphia, PA?

While past research suggests that urban greenspace is associated with weaker income-based mortality inequities, little is known about associations with racial inequities, which may be distinct owing to historical and contemporary forms of racism. We quantified the extent to which different measures of greenspace modified socioeconomic and racial/ethnic inequities in all-cause and cardiovascular disease mortality. For every residential census tract in Philadelphia, PA (N = 376), we linked counts of all-cause and cardiovascular mortality (years 2008-2015) with measures of greenspace (proportion tree canopy or grass/shrub cover, proportion residents reporting park access, and the normalized difference vegetation index measure of overall greenness) and American Community Survey-based measures of sociodemographic composition (proportion of residents living in poverty, proportion identifying as non-Hispanic Black, and the index of concentration at the extremes (ICE) representing racialized economic deprivation). We used age- and sex-adjusted negative binomial models, with the natural logarithm of age-specific population counts as an offset, to quantify the magnitude of inequities by each composition variable, overall and stratified by categories of each greenspace measure. Inequities in mortality were weaker among neighborhoods with higher proportion grass/shrub cover or overall greenness. The most substantially narrowed inequities were those by the ICE. Mortality inequities did not differ substantially by perceived park access, and tree canopy was associated with weaker ICE-based inequities only. In this ecologic analysis, neighborhood greenspace was associated with weaker mortality inequities. However, associations varied across greenspace type and sociodemographic composition metrics, with generally stronger associations with overall greenness and grass/shrub coverage, and for ICE-basedinequities.

A participatory approach to designing and implementing an occupational health intervention for the nail salon community in the Greater Philadelphia region.

BACKGROUND: The nail salon industry in the US comprises mostly immigrant-owned, small mom-and-pop salons that employ primarily first-generation immigrant workers from Asia. Because of the cultural and language barriers, both owners and workers may not avail themselves of the occupational safety resources. We formed an academic-community partnership to co-design a feasibility study and multi-level occupational health intervention for Vietnamese-speaking salon owners, workers, and community-based organization. METHODS: The intervention for each salon included (i) 2-h in-person training covering chemical safety, infection control, musculoskeletal prevention, and workers' rights for both the owners and their employees, (ii) a tailored recommendation report for the owner, and (iii) check-ins with the owner during the 3-month follow-up. Community partner was trained to deliver the in-language training with technical assistance from the research team. Baseline and post-intervention individual data about health symptoms and behaviors, as well as personal chemical exposures were collected and analyzed. RESULTS: A total of 44 participants from 12 consented salons enrolled in the study. One salon dropped out at follow-up due to change of ownership. Analysis of the differences between post-and pre-intervention showed a tendency toward reduction in some self-reported symptoms in the respiratory system, skin, and eyes, neurotoxicity score, as well as chemical exposures. We could not rule out seasonality as an explanation for these trends. Increase in self-efficacy in some areas was observed post-intervention. CONCLUSIONS: Our study demonstrated a successful academic-community partnership to engage community members in the intervention study. While the intervention effects from this feasibility study should be interpreted with caution, our preliminary results indicated that our community-based intervention is a promising approach to reduce work-related exposures among Asian American nail salon workers.

Philadelphia Beverage Tax and Association With Prices, Purchasing, and Individual-Level Substitution in a National Pharmacy Chain.

Importance: Taxes on sweetened beverages are being implemented around the globe; an understanding of these taxes on individual-level behavior is necessary. Objective: To evaluate the degree to which the sweetened beverage tax in Philadelphia, Pennsylvania, was associated with changes in beverage prices and individual-level purchasing over time at a national pharmacy chain in Philadelphia compared with Baltimore, Maryland. Design, Setting, and Participants: Using a difference-in-differences approach and generalized linear mixed models, this cohort study examined beverage purchases made by loyalty cardholders at a national chain pharmacy retailer with stores in Philadelphia and Baltimore (control city) from before tax to after tax. Beverage sales (in US dollars) were linked by unique loyalty card numbers to enable longitudinal analyses. Data were collected from January 1, 2015, through December 31, 2017 (2 years before tax and 1 year after tax); data analyses were conducted from January through October 2022. Exposure: Implementation of Philadelphia's 1.5 cents/oz tax on sweetened beverages. Main Outcomes and Measures: The outcomes were the change in mean beverage price per-ounce and mean beverage volume purchased per cardholder transaction. Individual-level point-of-sale scanner data from all beverage purchases were analyzed. Results: A total of 1188 unique beverages were purchased from the same stores before tax and after tax. There were 231 065 unique cardholders in Philadelphia and 82 517 in Baltimore. Mean prices of taxed beverages (n = 2 094 220) increased by 1.6 (95% CI, 1.3-2.0) cents/oz (106.7% pass-through) in Philadelphia compared with Baltimore from before tax to after tax. Philadelphia cardholders purchased 7.8% (95% CI -8.1% to -7.5%) fewer ounces of taxed beverages and 1.1% (95% CI, 0.6%-1.7%) more ounces of nontaxed beverages per transaction. Taxed beverages made up a smaller percentage of cardholders' overall beverage purchases after tax (-13.4% [95% CI, -14.2% to -12.6%]), while nontaxed beverages made up a larger share (9.3% [95% CI, 7.7%-10.7%]). Conclusions and Relevance: In this longitudinal cohort study of the Philadelphia beverage tax, the tax was completely passed through to prices and was associated with a 7.8% decline in ounces of taxed beverages purchased at a national pharmacy chain.

Differentials and predictors of food insecurity among Federally Qualified Health Center target populations in Philadelphia: a cross-sectional study.

BACKGROUND: Over the past decade, the prevalence of food insecurity declined in the United States but curiously climbed in Philadelphia, Pennsylvania, a sizable metropolitan area where many households experience food insecurity and are dependent on programs like SNAP. Therefore, we aimed to determine the burden of food insecurity among populations near Philadelphia Federally Qualified Health Center (FQHC) clinic sites. METHODS: This cross-sectional study was conducted in North Philadelphia, a populous and impoverished section of Philadelphia with many zip codes reporting 30-45% or more of the population below the federal poverty line. Students and clinicians affiliated with a local FQHC conducted surveys on residents (n = 379) within 1-mile radiuses of three FQHC sites, using the Hunger Vital Sign™, a validated food security tool. Survey data were collected through door-to-door visits in the summer of 2019. We used simple, age-adjusted bivariable, and multivariable logistic regression models to predict food insecurity with independent variables, including age, sex, language preference, and BMI category. RESULTS: Food insecurity in North Philadelphia was much higher (36.9%) than previously reported in Philadelphia and nationwide. Food insecurity was inversely associated with age (AOR = 0.98, 95% CI: 0.97, 1.00), overweight (AOR = 0.58, 95% CI: 0.32, 1.06), and obesity (AOR = 0.60, 95% CI: 0.33, 1.09). CONCLUSION: In North Philadelphia, the burden of food insecurity is higher than in the greater Philadelphia area, Pennsylvania state, and the rest of the nation and is predicted by age and BMI of residents. These findings demonstrate a need for more locally targeted research and interventions on food insecurity in impoverished urban settings.

Food Access Support Technology (FAST): a Centralized City-Wide Platform for Rapid Response to Food Insecurity.

BACKGROUND: Food access for patients remains a critical need for health systems to address given varying resource availability and inefficient coordination among health and food services. AIM: Develop and evaluate the Food Access Support Technology (FAST), a centralized digital platform for food access that pairs health systems with food and delivery community-based organizations (CBOs). SETTING AND PARTICIPANTS: Two health systems, 12 food partners, and 2 delivery partners in Philadelphia, PA. PROGRAM DESCRIPTION: Using FAST, referrers can post requests for food delivery on recipients' behalf, which are reviewed and claimed by eligible CBOs that can prepare food boxes for delivery to people's homes. PROGRAM EVALUATION: Between March 2021 and July 2022, FAST received 364 requests, representing 207 food insecure households in 51 postal codes. The platform facilitated the completion of 258 (70.9%) requests, with a median completion time of 5 (IQR 0-7) days and a median of only 1.5 days (IQR 0-5) for requests marked "urgent." Qualitative interviews with FAST end-users endorsed the usability of the FAST platform and its effectiveness in facilitating resource-sharing between partners. DISCUSSION: Our findings suggest that centralized platforms can address household food insecurity by (1) streamlining partnerships between health systems and CBOs for food delivery and (2) facilitating the real-time coordination of resources among CBOs.

Neighborhood Deprivation and Racial Disparities in Early Pregnancy Impaired Glucose Tolerance.

OBJECTIVE: There is mounting evidence that neighborhoods contribute to perinatal health inequity. We aimed (1) to determine whether neighborhood deprivation (a composite marker of area-level poverty, education, and housing) is associated with early pregnancy impaired glucose intolerance (IGT) and pre-pregnancy obesity and (2) to quantify the extent to which neighborhood deprivation may explain racial disparities in IGT and obesity. STUDY DESIGN: This was a retrospective cohort study of non-diabetic patients with singleton births ≥ 20 weeks' gestation from 1 January 2017-31 December 2019 in two Philadelphia hospitals. The primary outcome was IGT (HbA1c 5.7-6.4%) at <20 weeks' gestation. Addresses were geocoded and census tract neighborhood deprivation index (range 0-1, higher indicating more deprivation) was calculated. Mixed-effects logistic regression and causal mediation models adjusted for covariates were used. RESULTS: Of the 10,642 patients who met the inclusion criteria, 49% self-identified as Black, 49% were Medicaid insured, 32% were obese, and 11% had IGT. There were large racial disparities in IGT (16% vs. 3%) and obesity (45% vs. 16%) among Black vs. White patients, respectively (p < 0.0001). Mean (SD) neighborhood deprivation was higher among Black (0.55 (0.10)) compared with White patients (0.36 (0.11)) (p < 0.0001). Neighborhood deprivation was associated with IGT and obesity in models adjusted for age, insurance, parity, and race (aOR 1.15, 95%CI: 1.07, 1.24 and aOR 1.39, 95%CI: 1.28, 1.52, respectively). Mediation analysis revealed that 6.7% (95%CI: 1.6%, 11.7%) of the Black-White disparity in IGT might be explained by neighborhood deprivation and 13.3% (95%CI: 10.7%, 16.7%) by obesity. Mediation analysis also suggested that 17.4% (95%CI: 12.0%, 22.4%) of the Black-White disparity in obesity may be explained by neighborhood deprivation. CONCLUSION: Neighborhood deprivation may contribute to early pregnancy IGT and obesity-surrogate markers of periconceptional metabolic health in which there are large racial disparities. Investing in neighborhoods where Black patients live may improve perinatal health equity.

Research and Evaluation in a Child-Focused Place-Based Initiative: West Philly Promise Neighborhood.

Place-based initiatives attempt to reduce persistent health inequities through multisectoral, cross-system collaborations incorporating multiple interventions targeted at varying levels from individuals to systems. Evaluations of these initiatives may be thought of as part of the community change process itself with a focus on real-time learning and accountability. We described the design, implementation, challenges, and initial results of an evaluation of the West Philly Promise Neighborhood, which is a comprehensive, child-focused place-based initiative in Philadelphia, Pennsylvania. Priorities for the evaluation were to build processes for and a culture of ongoing data collection, monitoring, and communication, with a focus on transparency, accountability, and data democratization; establish systems to collect data at multiple levels, with a focus on multiple uses of the data and future sustainability; and adhere to grant requirements on data collection and reporting. Data collection activities included the compilation of neighborhood-level indicators; the implementation of a program-tracking system; administrative data linkage; and neighborhood, school, and organizational surveys. Baseline results pointed to existing strengths in the neighborhood, such as the overwhelming majority of caregivers reporting that they read to their young children (86.9%), while other indicators showed areas of need for additional supports and were programmatic focuses for the initiative (e.g., about one-quarter of young children were not engaged in an early childhood education setting). Results were communicated in multiple formats. Challenges included aligning timelines, the measurement of relationship-building and other process-focused outcomes, data and technology limitations, and administrative and legal barriers. Evaluation approaches and funding models that acknowledge the importance of capacity-building processes and allow the development and measurement of population-level outcomes in a realistic timeframe are critical for measuring the success of place-based approaches.

Attitudes, Beliefs, and Perceptions on Cannabis Among Older Adults Aged 65 and Older: A cross-sectional Survey.

OBJECTIVE: With the rise of medical and recreational cannabis use among older adults, concerns about the potential risks and benefits of cannabis use are increasing. This pilot study aimed to determine the attitudes, beliefs, and perceptions of older adults toward cannabis as a medicinal product, to establish a foundation for future research on how healthcare providers communicate with this population regarding cannabis. METHODS: A cross-sectional survey was conducted on adults aged 65 and older living in Philadelphia. The survey included questions related to participants' demographics, knowledge, attitudes, beliefs, and perceptions of cannabis. Participants were recruited via flyer distributions, publications in newsletters, and a local newspaper. Surveys were conducted from December 2019 through May 2020. Quantitative data were presented using counts, mean, median, and percentages, and qualitative data were analyzed by categorizing common responses. RESULTS: The study aimed to recruit 50 participants, of whom 47 met the requirements, and had their data analyzed, resulting in an average age of 71 years. The majority of participants were male (53%) and Black (64%). Seventy-six percent of participants considered cannabis a highly important treatment for older adults, and 42% considered themselves highly knowledgeable about cannabis. Over half of the participants reported being asked about tobacco (55%) or alcohol (57%) use by their PCP compared to 23% being asked about cannabis. Participants indicated that they most commonly turned to the internet and social media for information about cannabis, while only a small number mentioned relying on their primary care physician (PCP) for such information. DISCUSSION: The results of this pilot study highlight the need for accurate and reliable information about cannabis for older adults and their healthcare providers. As the use of cannabis as a therapy continues to rise, it is crucial for healthcare providers to address misconceptions and encourage older adults to seek out evidence-based research. Further research is needed to explore healthcare providers' perceptions of cannabis therapy and how they can better educate older adults.

"A Growing Relationship": Cultivating Organizational Readiness to Influence Implementation of Policy, Systems, and Environmental (PSE) Change Programming in SNAP-Ed Funded School-Community Partnerships.

OBJECTIVE: Provide a nuanced understanding of how Supplemental Nutrition Assistance Program-Education (SNAP-Ed) implementers decide what programming a school is ready to implement and the organizational factors that facilitate the initial implementation of programming in schools. DESIGN: Case studies conducted at schools during 2018-19. SETTING: Nineteen School District of Philadelphia schools receiving nutrition programming funded by SNAP-Ed. PARTICIPANTS: Interviews were conducted with 119 school staff and SNAP-Ed implementers. A total of 138 hours of observations of SNAP-Ed programming were completed. PHENOMENON OF INTEREST: How do SNAP-Ed implementers decide what PSE programming a school is ready to implement? What organizational factors can be developed to facilitate the initial implementation of PSE programming in schools? ANALYSIS: Interview transcripts and observation notes were coded deductively and inductively on the basis of theories of organizational readiness for programming implementation. RESULTS: Supplemental Nutrition Assistance Program-Education implementers focused on schools' existing capacity when determining readiness for programming. CONCLUSIONS AND IMPLICATIONS: Findings suggest that if SNAP-Ed implementers only focus on a school's existing capacity when assessing its readiness for programming, the school might not receive the programming it needs. Findings suggest SNAP-Ed implementers could develop a school's readiness for programming by concentrating efforts on cultivating relationships, program-specific capacity, and motivation at schools. Findings have equity implications for partnerships in underresourced schools that may have limited existing capacity and consequentially could be denied vital programming.

Changes in Dental Outcomes After Implementation of the Philadelphia Beverage Tax.

INTRODUCTION: Beverage taxes are associated with declines in sugar-sweetened beverage sales and consumption, but few studies have evaluated the associations of these taxes with health outcomes. This study analyzed changes in dental decay after the implementation of the Philadelphia sweetened beverage tax. METHODS: Electronic dental record data were obtained on 83,260 patients living in Philadelphia and control areas from 2014 to 2019. Difference-in-differences analyses compared the number of new Decayed, Missing, and Filled Teeth with that of new Decayed, Missing, and Filled Surfaces before (January 2014-December 2016) and after (January 2019-December 2019) tax implementation in Philadelphia and control patients. Analyses were conducted in older children/adults (aged ≥15 years) and younger children (aged <15 years). Subgroup analyses stratified by Medicaid status. Analyses were conducted in 2022. RESULTS: The number of new Decayed, Missing, and Filled Teeth did not change after tax implementation in Philadelphia in panel analyses of older children/adults (difference-in-differences= -0.02, 95% CI= -0.08, 0.03) or younger children (difference-in-differences=0.07, 95% CI= -0.08, 0.23). There were similarly no post-tax changes in the number of new Decayed, Missing, and Filled Surfaces. However, in cross-sectional samples of patients on Medicaid, the number of new Decayed, Missing, and Filled Teeth was lower after tax implementation in older children/adults (difference-in-differences= -0.18, 95% CI= -0.34, -0.03; -22% decline) and younger children (difference-in-differences= -0.22, 95% CI= -0.46, 0.01; -30% decline), with similar results for number of new Decayed, Missing, and Filled Surfaces. CONCLUSIONS: The Philadelphia beverage tax was not associated with reduced tooth decay in the general population, but it was associated with reduced tooth decay in adults and children on Medicaid, suggesting potential health benefits for low-income populations.

Generating data to facilitate more equitable distribution of health resources: an illustration of how local health surveys can identify probable need in mixed socio-economic regions.

OBJECTIVES: This study aimed to (1) encourage allocation of governmental and grant funds to the administration of local area health surveys and (2) illustrate the predictive impact of socio-economic resources on adult health status at the local area level to provide an example of how health surveys can identify residents with the greatest health needs. STUDY DESIGN: Randomly sampled and weight-adjusted regional household health survey (7501 respondents) analyzed with categorical bivariate and multivariate statistics, combined with Census data. Survey sample consists of the lowest, highest, and near highest ranked counties in the County Health Rankings and Roadmaps for Pennsylvania. METHODS: Socio-economic status (SES) is measured regionally with Census data consisting of seven indicators and individually with Health Survey data consisting of five indicators based on poverty level, overall household income, and education. Both of these composite measures are examined jointly for their predictive effects on a validated health status measure using binary logistic regression. RESULTS: Once county-level measures of SES and health status are broken down into smaller areas, better identification of pockets of health need is possible. This was most strongly revealed in an urban county, Philadelphia, which is ranked lowest of 67 counties on health measures in the state of Pennsylvania, yet when broken down into 'neighborhood clusters' contained both the highest- and lowest-ranked local area in a five-county region. Overall, regardless of the SES level of the County subdivision one lives in, a low-SES adult has close to six times greater odds of reporting 'fair or poor health status' than does a high-SES adult. CONCLUSION: Local health survey analysis can lead to a more precise identification of health needs than surveys attempting to cover broad areas. Low-SES communities within counties, and low-SES individuals, regardless of the community they live in, are substantially more likely to experience fair to poor health. This adds urgency to the need to implement and investigate socio-economic interventions, which can hopefully improve health and save healthcare costs. Novel local area research can identify the impact of intervening variables such as race in addition to SES to add more specificity in identifying populations with the greatest health needs.