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.

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.

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.

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.

Sustained Impact of the Philadelphia Beverage Tax on Beverage Prices and Sales Over 2 Years.

INTRODUCTION: It is unclear whether changes in beverage price and sales after beverage tax implementation can be sustained long term. This study aims to quantify the changes in beverage prices and sales in large retailers 2 years after the implementation of the 1.5 cents per ounce Philadelphia beverage tax. METHODS: Data on price and volume sales of beverages and potential food substitutes were collected from 109 supermarkets, 45 mass merchandizers, and 350 pharmacies in Philadelphia, Baltimore (control), and Pennsylvania ZIP codes bordering Philadelphia (to investigate potential cross-border shopping for tax avoidance). Difference-in-differences analyses compared beverage prices and volume sales in the year before tax implementation (2016) to 2 years after (2018). Data were analyzed in 2020-2021. RESULTS: Difference-in-differences analyses found that after tax implementation, taxed beverage prices in Philadelphia increased by 1.02 cents per ounce (95% CI=0.94, 1.11; 68% pass through), and taxed beverage volume sales in stores decreased by 50% (95% CI=36%, 61%). After accounting for cross-border shopping, taxed beverage volume sales decreased in Philadelphia by 35% in 2018. Volume sales of nontaxed beverages did not change after tax implementation (difference-in-differences=4%, 95% CI= -3%, 12%). Volume sales of nontaxed beverage concentrates increased on average by 34% (95% CI=19%, 51%), but there was no evidence of substitution to high-calorie foods. CONCLUSIONS: There was a large reduction in taxed beverage volume sales 2 years after Philadelphia tax implementation, even after accounting for cross-border shopping. Increases in nontaxed beverage concentrate sales likely partially offset this decline, but there was no evidence of post-tax food substitution.

Purchases of Nontaxed Foods, Beverages, and Alcohol in a Longitudinal Cohort After Implementation of the Philadelphia Beverage Tax.

BACKGROUND: Evidence suggests that sweetened beverage taxes reduce taxed beverage purchases, but few studies have used individual-level data to assess whether these taxes affect purchases of nontaxed foods, beverages, and alcohol. Additionally, research has not examined whether sweetened beverage taxes influence restaurant purchases. OBJECTIVES: We assessed changes in individuals' purchases of taxed beverage types; low-calorie/low-added-sugar nontaxed beverages; high-calorie/high-added-sugar nontaxed beverages, foods, and alcohol; and beverages from restaurants following implementation of the 1.5 cent-per-ounce Philadelphia sweetened beverage tax. METHODS: A longitudinal cohort of adult sugar-sweetened beverage consumers in Philadelphia (n = 306; 67% female; mean age: 43.9 years) and Baltimore (n = 297; comparison city without a beverage tax; 58% female; mean age: 41.7 years) submitted all food and beverage receipts during 2-week periods at baseline and at 3, 6, and 12 months posttax. Difference-in-differences analyses compared changes in purchases from pre- to posttax in Philadelphia to changes in Baltimore. RESULTS: Purchases of taxed juice drinks [ratio of incidence rate ratios (RIRR) = 0.62; 95% CI, 0.42-0.91], but not other taxed beverage types, decreased in Philadelphia compared to Baltimore following the tax. Analyses did not find changes in purchases of low-calorie/low-added-sugar nontaxed beverages, such as water or milk. Additionally, analyses did not find increases in purchases of most high-calorie/high-added-sugar nontaxed products, including alcohol, juice, candy, sweet snacks, salty snacks, and desserts. Purchases of beverage concentrates increased in Philadelphia (RIRR = 2.22; 95% CI, 1.39-3.54). CONCLUSIONS: In this difference-in-differences analysis, the Philadelphia beverage tax was associated with reduced purchases of taxed juice drinks. Purchases of beverage concentrates increased after the tax, but no increases were observed for other high-calorie/high-added-sugar nontaxed foods, beverages, or alcohol.

Association of a Sweetened Beverage Tax With Purchases of Beverages and High-Sugar Foods at Independent Stores in Philadelphia.

Importance: The relationship between a sweetened beverage tax and changes in the prices and purchases of beverages and high-sugar food is understudied in the long term and in small independent food retail stores where sugar-sweetened beverages are among the most commonly purchased items. Objective: To examine whether a 1.5 cent-per-fluid-ounce excise tax on sugar- and artificially sweetened beverages Philadelphia, Pennsylvania, was associated with sustained changes in beverage prices and purchases, as well as calories purchased from beverages and high-sugar foods, over 2 years at small independent stores. Design, Setting, and Participants: This cross-sectional study used a difference-in-differences approach to compare changes in beverage prices and purchases of beverages and high-sugar foods (candy, sweet snacks) at independent stores in Philadelphia and Baltimore, Maryland (a nontaxed control) before and 2 years after tax implementation, which occurred on January 1, 2017. Price comparisons were also made to independent stores in Philadelphia's neighboring counties. Main Outcomes and Measures: Changes in mean price (measured in cents per fluid ounce) of taxed and nontaxed beverages, mean fluid ounces purchased of taxed and nontaxed beverages, and mean total calories purchased from beverages and high-sugar foods. Results: Compared with Baltimore independent stores, taxed beverage prices in Philadelphia increased 2.06 cents per fluid ounce (95% CI, 1.75 to 2.38 cents per fluid ounce; P < .001), with 137% of the tax passed through to prices 2 years after tax implementation, while nontaxed beverage prices had no statistically significant change. A total of 116 independent stores and 4738 customer purchases (1950 [41.2%] women; 4351 [91.8%] age 18 years or older; 1006 [21.2%] White customers, 3185 [67.2%] Black customers) at independent stores were assessed for price and purchase comparisons. Purchases of taxed beverages declined by 6.1 fl oz (95% CI, -9.9 to -2.4 fl oz; P < .001), corresponding to a 42% decline in Philadelphia compared with Baltimore; there were no significant changes in purchases of nontaxed beverages. Although there was no significant moderation by neighborhood income or customer education level, exploratory stratified analyses revealed that declines in taxed beverage purchases were larger among customers shopping in low-income neighborhoods (-7.1 fl oz; 95% CI, -13.0 to -1.1 fl oz; P = .001) and individuals with lower education levels (-6.9 fl oz; 95% CI, -12.5 to -1.3 fl oz; P = .001). Conclusions and Relevance: This cross-sectional study found that a tax on sweetened beverages was associated with increases in price and decreases in purchasing. Beverage excise taxes may be an effective policy to sustainably decrease purchases of sweetened drinks and calories from sugar in independent stores, with large reductions in lower-income areas and among customers with lower levels of education.

No Evidence of Food or Alcohol Substitution in Response to a Sweetened Beverage Tax.

INTRODUCTION: Evidence suggests real-world beverage taxes reduce sweetened beverage purchases, but it is unknown if consumers consequently increase food or alcohol purchases. This study examines whether Philadelphia's 1.5 cents/ounce beverage tax was associated with substitution to 3 kinds of hypothesized substitutes: snacks, nontaxed beverage concentrates, and alcohol. METHODS: Using commercial retail sales data and a difference-in-differences approach, analyses compared logged volume and dollar sales of snacks and beverage concentrates between 2016 (pretax) and 2017 (post-tax) at chain food retail stores in Philadelphia (n=180) and Baltimore (nontaxed control city; n=60), and logged volume and dollar sales of wine and spirits at liquor stores in Philadelphia (n=44) and nearby Pennsylvania counties (alternate control; n=66). Additional food analyses examined change in logged volume sales of hypothesized products compared to control products (other foods). Analyses were conducted in 2020. RESULTS: Across store types, analyses showed no statistically significant increases in logged volume or dollar sales of snacks or spirits in Philadelphia stores compared to control sites (decreased, ranging from -10% to 0%). Supermarket analyses showed substitution to nontaxed beverage concentrates (27% increase in volume, 36% increase relative to other food) but remained a relatively small percentage of overall beverage dollar sales (12% at baseline, 15% at post). CONCLUSIONS: At the population level, there is no evidence that Philadelphia's decline in taxed beverage purchases is offset by increases in snacks or spirits purchasing, but there is evidence of substitution to beverage concentrates in supermarkets. Future studies should explore individual-level purchasing changes.

One-year changes in sugar-sweetened beverage consumers' purchases following implementation of a beverage tax: a longitudinal quasi-experiment.

BACKGROUND: Few longitudinal studies examine the response to beverage taxes, especially among regular sugar-sweetened beverage (SSB) consumers. OBJECTIVE: This study aimed to examine changes in objectively measured beverage purchases associated with the Philadelphia beverage tax on sugar-sweetened and artificially sweetened beverages. METHODS: A longitudinal quasi-experiment was conducted with adult sugar-sweetened beverage (SSB) consumers in Philadelphia (n = 306) and Baltimore (n = 297; a nontaxed comparison city). From 2016 to 2017 participants submitted all food and beverage receipts during a 2-wk period at: baseline (pretax) and 3, 6, and 12 mo posttax (91.0% retention; data analyzed in 2019). Linear mixed effects models were used to assess the difference-in-differences in total purchased ounces (fl oz) of taxed beverages in a 2-wk period in Philadelphia compared with Baltimore. Secondary analyses: 1) excluded weeks that contained major holidays at baseline and 12 mo (42% of measured weeks at baseline and 12 mo) because policy implementation timing necessitated data collection during holidays when SSB demand may be more inelastic, and 2) aggregated posttax time points to address serial correlation and low power. RESULTS: There were no statistically significant changes in purchased ounces of taxed beverages in Philadelphia compared with Baltimore in the primary analysis. After excluding holiday purchasing, the tax was associated with statistically significant reductions of taxed beverage purchases at 3 and 6 mo (-157.1 ounces, 95% CI: -310.1, -4.1 and -175.1 ounces, 95% CI: -328.0, -22.3, respectively) but not 12 mo. Analyses aggregating all 6 wk of posttax time points showed statistically significant reductions (-203.7 ounces, 95% CI: -399.6, -7.8). CONCLUSIONS: A sweetened beverage tax was not associated with reduced taxed beverage purchases among SSB consumers 12 mo posttax in the full sample. Both secondary analyses excluding holiday purchasing or aggregating posttax time periods found reductions in taxed beverage purchases ranging from -4.9 to -12.5 ounces per day. Larger longitudinal studies are needed to further understand tax effects.

The Association Of A Sweetened Beverage Tax With Changes In Beverage Prices And Purchases At Independent Stores.

In January 2017 Philadelphia, Pennsylvania, implemented an excise tax of 1.5 cents per ounce on beverages sweetened with sugar or artificial sweeteners. Small independent stores are an important yet understudied setting. They are visited frequently in urban and low-income areas, and sugary beverages are among the most commonly purchased items in them. We compared changes in beverage prices and purchases before and twelve months after tax implementation at small independent stores in Philadelphia and an untaxed control city, Baltimore, Maryland. Our sample included 134 stores with price data and 4,584 customer purchases. Compared with Baltimore, Philadelphia experienced significantly greater increases in the price of taxed beverages (1.81 cents per ounce, or 120.4 percent of the tax) and significantly larger declines in the volume of taxed beverages sold (5.76 ounces, or 38.9 percent) after tax implementation. Beverage excise taxes may be an effective policy tool for decreasing the purchase of sweetened drinks in small independent stores, particularly among populations at higher risk for sugar-sweetened beverage consumption.

Identifying Potential Campaign Themes to Prevent Youth Initiation of E-Cigarettes.

Once a target audience and a health behavior of interest are selected for a potential mass media campaign, the next task is selecting beliefs about the health behavior to serve as the basis for campaign message content. For novel health behaviors, such as the use of emerging tobacco products, limited empirical research on beliefs about these behaviors exists. A multimethod approach was applied to generate potential campaign beliefs for emerging behaviors. Three methods were conducted in this investigation in order to generate a list of potential testable campaign beliefs, using youth e-cigarette use as a case study: (1) a search of published and unpublished literature including gathering measures from several national surveys (through 2016), (2) an online elicitation survey (conducted in 2016), and (3) unsupervised topic modeling of media texts (from 2014 to 2015, analyzed in 2016). Details are provided on how each method was employed to both generate and prioritize beliefs related to youth e-cigarette use into a final set of 115 beliefs across 23 belief themes. This multimethod approach can provide four utilities when thinking through a health campaign for novel health behaviors: (1) developing an exhaustive and complementary list of beliefs, (2) generating overarching themes and distilling larger themes into more nuanced beliefs, (3) identifying language most relevant to the target population, and (4) prioritizing beliefs for message pilot testing with members of the target audience. SUPPLEMENT INFORMATION: This article is part of a supplement entitled Fifth Anniversary Retrospective of "The Real Cost," the Food and Drug Administration's Historic Youth Smoking Prevention Media Campaign, which is sponsored by the U.S. Food and Drug Administration.

Recall of "The Real Cost" Anti-Smoking Campaign Is Specifically Associated With Endorsement of Campaign-Targeted Beliefs.

Though previous research suggests the FDA's "The Real Cost" anti-smoking campaign has reduced smoking initiation, the theorized pathway of effects (through targeted beliefs) has not been evaluated. This study assesses the relationship between recall of campaign television advertisements and ad-specific anti-smoking beliefs. Respondents in a nationally representative survey of nonsmoking youths age 13-17 (n = 4,831) reported exposure to four The Real Cost advertisements and a fake ad, smoking-relevant beliefs, and nonsmoking intentions. Analyses separately predicted each targeted belief from specific ad recall, adjusting for potential confounders and survey weights. Parallel analyses with non-targeted beliefs showed smaller effects, strengthening claims of campaign effects. Recall of four campaign ads (but not the fake ad) significantly predicted endorsement of the ad-targeted belief (Mean ß = .13). Two-sided sign tests indicated stronger ad recall associations with the targeted belief relative to the non-targeted belief (p < .05). Logistic regression analyses indicated that respondents who endorsed campaign-targeted beliefs were more likely to have no intention to smoke (p < .01). This study is the first to demonstrate a relationship between recall of ads from The Real Cost campaign and the theorized pathway of effects (through targeted beliefs). These analyses also provide a methodological template for showing campaign effects despite limitations of available data.

The Cost-effectiveness of Sequences of Biological Disease-modifying Antirheumatic Drug Treatment in England for Patients with Rheumatoid Arthritis Who Can Tolerate Methotrexate.

OBJECTIVE: To ascertain whether strategies of treatment with a biological disease-modifying antirheumatic drug (bDMARD) are cost-effective in an English setting. Results are presented for those patients with moderate to severe rheumatoid arthritis (RA) and those with severe RA. METHODS: An economic model to assess the cost-effectiveness of 7 bDMARD was developed. A systematic literature review and network metaanalysis was undertaken to establish relative clinical effectiveness. The results were used to populate the model, together with estimates of Health Assessment Questionnaire (HAQ) score following European League Against Rheumatism response; annual costs, and utility, per HAQ band; trajectory of HAQ for patients taking bDMARD; and trajectory of HAQ for patients using nonbiologic therapy (NBT). Results were presented as those associated with the strategy with the median cost-effectiveness. Supplementary analyses were undertaken assessing the change in cost-effectiveness when only patients with the most severe prognoses taking NBT were provided with bDMARD treatment. The costs per quality-adjusted life-year (QALY) values were compared with reported thresholds from the UK National Institute for Health and Care Excellence of £20,000 to £30,000 (US$24,700 to US$37,000). RESULTS: In the primary analyses, the cost per QALY of a bDMARD strategy was £41,600 for patients with severe RA and £51,100 for those with moderate to severe RA. Under the supplementary analyses, the cost per QALY fell to £25,300 for those with severe RA and to £28,500 for those with moderate to severe RA. CONCLUSION: The cost-effectiveness of bDMARD in RA in England is questionable and only meets current accepted levels in subsets of patients with the worst prognoses.

Evaluation of a mass media campaign promoting using help to quit smoking.

BACKGROUND: Although there is evidence that promoting individual cessation aids increases their utilization, mass media campaigns highlighting the benefit of using help to quit have not been evaluated. PURPOSE: The effects of a Philadelphia adult smoking-cessation media campaign targeting using help in ad taglines were analyzed from March to November 2012. This study distinctively analyzed the campaign's impact at both the population level (effects on the average person) and the individual level (effects among those who reported exposure). METHODS: The 16-month mass media campaign aired in Philadelphia PA from December 2010 to March 2012. A representative sample of adult Philadelphia smokers was interviewed by telephone at baseline (n=491) and new samples were interviewed monthly throughout the campaign (n=2,786). In addition, a subsample of these respondents was reinterviewed 3 months later (n=877). RESULTS: On average, participants reported seeing campaign ads four times per week. Among individual respondents, each additional campaign exposure per week increased the likelihood of later reporting using help (OR=1.08, p<0.01), adjusting for baseline use of help and other potential confounders. This corresponded to a 5% increase in the use of help for those with average exposure relative to those with no exposure. Cross-sectional associations between individual campaign exposure and intentions to use help were consistent with these lagged findings. However, there was no evidence of population-level campaign effects on use of help. CONCLUSIONS: Although the campaign was effective at the individual level, its effects were too small to have a population-detectable impact.