Mixed methods evaluation of the COVID-19 changes to the WIC cash-value benefit for fruits and vegetables.

Introduction: Recent cash-value benefit (CVB) increases are a positive development to help increase WIC participant fruits and vegetables (FV) access. Little is known about the impacts of the CVB changes on FV redemptions or about implementation successes and challenges among WIC State and local agencies. This mixed method study aimed to evaluate (a) the CVB changes' impact on FV access among WIC child participants measured by CVB redemption rates, (b) facilitators and barriers to CVB changes' implementation, and (c) differences in FV redemption and facilitators and barriers by race/ethnicity. Methods: We requested redemption data from all 89 State agencies for April 2020 to September 2022 and utilized descriptive statistics, interrupted time series analysis (ITS), and generalized linear regression analysis. Additionally, we recruited State agencies, local agencies, and caregivers across the U.S. for interviews and used rapid qualitative analysis to find emerging themes anchored in policy evaluation and implementation science frameworks. Results: We received redemption data from 27 State agencies and interviewed 23 State agencies, 61 local agencies, and 76 caregivers of child WIC participants. CVB monthly redemptions increased at $35/child/month compared to $9/child/month; however, adjusted ITS analyses found a decrease in redemption rates at $35/child/month. The decrease was not significant when the transition/first implementation month was excluded with rates progressively increasing over time. Differences were found among racial/ethnic groups, with lower redemption rates observed for non-Hispanic Black caregivers. Overall, WIC caregivers reported high satisfaction and utilization at the $35/child/month. The frequent and quick turnaround CVB changes strained WIC agency resources with agencies serving higher caseloads of diverse racial and ethnic populations experiencing greater issues with implementing the CVB changes. Conclusion: Despite implementation challenges, the increased CVB shows promise to improve WIC participant FV access and satisfaction with WIC. WIC agencies need adequate lead time to update the CVB amounts, and resources and support to help ensure equitable distribution and utilization of the FV benefits.

Cooperative Extension professionals' knowledge and attitudes toward the opioid epidemic: Implications for capacity development and outreach.

Introduction: Worsening of the opioid epidemic amplifies calls for involvement of the nationwide Cooperative Extension System (Extension) in addressing this crisis. Understanding knowledge and attitudes among Extension professionals who directly interact with communities is critical given identified needs for increased capacity and substantial federal investments supporting Extension's opioid response. This study explored opioid knowledge and attitudes among Extension professionals in one state to identify attitudes and perceptions that may influence community-level efforts. Methods: An online survey including 25 Likert scale questions about attitudes and beliefs related to substance use was administered to Extension professionals. Questions were categorized into five concept areas: treatment and community support, legal and punitive approaches, substance use as an illness, external causes of substance use, and personal causes of substance use. Descriptive statistics and response frequencies for all variables were calculated. One-way ANOVAs were used to calculate geographic differences between the state's three Extension regions. Results: Survey responses (n = 236) indicated respondents recognized the complexity of the opioid crisis and had favorable attitudes toward treatment and community support approaches. Support for legal and punitive approaches was mixed, as were attitudes toward external and personal causes of substance use. Most indicated needing better resources and more knowledge to engage in work locally. Conclusion: Increased capacity is needed in Extension to adequately support families and communities dealing with substance use disorder. Findings suggest areas of focus and provide insight for others seeking to develop capacity in opioid response by engaging Extension professionals or other community outreach workers in substance use prevention efforts.

COVID-19 risk perception and restaurant utilization after easing in-person restrictions.

This article investigated the influence of risk aversion and the perception of risk associated with dining inside a restaurant on restaurant utilization and expenditures in the initial re-opening phase of the COVID-19 pandemic. Consistent with economic theory, risk aversion and perception decreased the use of in-person restaurant services and increased the probability of using take-out and delivery, but had no influence on total restaurant expenditures. Risk perception had a larger effect on indoor dining compared to outdoor dining, suggesting risk averting behavior within the utilization of in-person restaurant services. These findings suggest COVID-19 concerns may influence restaurant use even after states relax their policies restricting restaurant operations. Our results also highlight the importance of developing policies to support the restaurant industry as consumers adjust to the re-opening phase of the pandemic.

Food Security, Financial Resources, and Mental Health: Evidence during the COVID-19 Pandemic.

COVID-19 has negatively impacted many households' financial well-being, food security, and mental health status. This paper investigates the role financial resources play in understanding the relationship between food security and mental health among U.S. households using data from a survey in June 2020. Results show job loss and savings draw down to pay for household bills had a significant relationship with both lower food security and greater numbers of poor mental health days during the pandemic.

Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers.

BACKGROUND: Modifying a household's food environment by targeting a single retailer type, like supermarkets, has a limited impact on dietary outcomes. This may be because the food environment has a limited impact on shopping behaviors, or because households are not as reliant on supermarkets as we assume. However, our understanding of how households shop for food, especially when considering the use of both food at home (FAH) retailers, such as supermarkets, and away from home retailers (FAFH), such as restaurants, is limited. Thus, understanding how households shop for food is a necessary first step when developing programs to modify food purchasing behavior. METHODS: K-means cluster analysis was used to identify weekly food shopping trip patterns based on the percentage of trips to FAH and FAFH retailers in the 2013 Food Acquisition and Purchase Survey (FoodAPS) dataset (n = 4665 households). Multinomial logistic regression was used to examine the relationship between shopping trip patterns, household and food environment characteristics. RESULTS: Three patterns emerged: primarily supermarket, primarily supercenter, or mix (i.e. no dominant retailer type, but high FAFH use). Households with incomes below 185% of the federal poverty line were evenly divided between patterns that rely primarily on FAH retailers, and the mix pattern. While nearly 70% of households with incomes above 185% of the federal poverty line are in the mix cluster. Supermarket and superstore availability significantly influenced the likelihood of belonging to those clusters respectively, while having a child, higher income, and attitudes towards healthy meal preparation time or taste significantly influenced the likelihood of belonging to the mix cluster. CONCLUSION: Although lower-income households are more likely to rely primarily on FAH retailers, household's, regardless of income, that primarily utilize FAH retailers show a strong preference for either superstores or supermarkets suggesting a need for interventions to reach both retailer types. However, altering the food environment alone may not be sufficient to discourage use of FAFH retailers as households relying on FAFH retailers are significantly influenced by meal preparation time and healthy food taste.

The effect of an opioid prescription days' supply limit on patients receiving long-term opioid treatment.

BACKGROUND: Since 2016, an increasing number of states have passed laws restricting the days' supply for opioid prescriptions, yet little is known about how these laws affect patients. This study evaluates the effect of the Tennessee Prescription Regulatory Act, which was implemented on Oct. 1st, 2013 and restricted the maximum days' supply that could be dispensed for any opioid prescription by any prescriber to 30 days, on patients receiving long-term opioid treatment. METHODS: A quasi experimental model, an interrupted time series (ITS), was used with observational data to estimate the effect of the policy on monthly patient opioid prescription outcomes. Data for this study came from the Tennessee Controlled Substance Monitoring Database between October 1st, 2012 and October 31st, 2014. The study population included patients receiving long-term opioid treatment who filled an opioid prescription in at least 4 months in the 12-month pre-policy period and received at least one prescription in the pre-policy period with a days' supply exceeding 30 days. Three outcomes were measured each month for every patient based on their opioid prescriptions: per-prescription days' supply per-prescription, daily morphine milligram equivalent (DMME), and total opioid prescriptions. All models controlled for individual fixed effects, age, and benzodiazepine prescriptions and utilized cluster robust standard errors to address serial correlation. RESULTS: The change in law was associated with a decline in the average days' supply by -5.30 days (95% CI: -5.64, -4.96), and number of prescriptions by -1.3% (95% CI: -3%, -0.07%), but an increase in the average DMME by 1.41 (95% CI: 0.37, 2.45). CONCLUSIONS: Prescribers responded to the Addison Sharp Prescription Regulatory Act by significantly decreasing the days' supply in opioid prescriptions among current patients receiving long-term opioid treatment who had at least one prescription exceeding the maximum days' supply set by the law in the pre-policy period.

Prescriber responses to a pain clinic law: Cease or modify?

BACKGROUND: Pain clinic laws are designed to cease or modify high-risk prescribing behavior. However, prior evaluations have not differentiated between these types of prescriber responses in their analysis, even though they may have different implications for patients. The purpose of this analysis is to investigate the effect of a 2016 Tennessee pain clinic law on the two types of prescriber responses. METHODS: We used data on opioid prescriptions from the Tennessee Controlled Substances Monitoring Database (CSMD) between July 1st, 2015 and July 1st, 2017. Prescribers were assigned to the cessation or modification group based on the date of their last opioid prescription during the time period July 1st, 2015 to July 1st, 2018 and its relationship to the change in law. A risk score was developed based on five indicators to capture two categories of risky prescriber behavior: increased risk for diversion or increased patient's risk of overdose. Within-prescriber differences were used to assess the effect of the law on several outcomes that capture the quantity and content of opioid prescriptions. RESULTS: There was a significant decline in the number of prescriptions (cessation mean = -45.18 pval<0.001; continuation mean = -24.41 pval<0.001) and patients (cessation mean = -16.68pval<0.001; continuation mean = -10.92 pval<0.001) in both prescriber response groups, but the magnitude of decline was much larger in the cessation group. High-risk prescribers were more likely to cease prescribing than modify. CONCLUSIONS: Prescribers who ceased prescribing in response to the pain clinic law disproportionately contributed to overall declines in opioid prescriptions.

Investigating the Spatial Dimension of Food Access.

The purpose of this article is to investigate the sensitivity of food access models to a dataset's spatial distribution and the empirical definition of food access, which contributes to understanding the mixed findings of previous studies. Data was collected in the Dan River Region in the United States using a telephone survey for individual-level variables (n = 784) and a store audit for the location of food retailers and grocery store quality. Spatial scanning statistics assessed the spatial distribution of obesity and detected a cluster of grocery stores overlapping with a cluster of obesity centered on a grocery store suggesting that living closer to a grocery store increased the likelihood of obesity. Logistic regression further examined this relationship while controlling for demographic and other food environment variables. Similar to the cluster analysis results, increased distance to a grocery store significantly decreased the likelihood of obesity in the urban subsample (average marginal effects, AME = -0.09, p-value = 0.02). However, controlling for grocery store quality nullified these results (AME = -0.12, p-value = 0.354). Our findings suggest that measuring grocery store accessibility as the distance to the nearest grocery store captures variability in the spatial distribution of the health outcome of interest that may not reflect a causal relationship between the food environment and health.

Effectiveness of a worksite-based weight loss randomized controlled trial: the worksite study.

OBJECTIVE: To determine the effectiveness of an individually targeted Internet-based intervention with monetary incentives (INCENT) at reducing weight of overweight and obese employees when compared with a less-intensive intervention (Livin' My Weigh [LMW]) 6 months after program initiation. METHODS: Twenty-eight worksites were randomly assigned to either INCENT or LMW conditions. Both programs used evidence-based strategies to support weight loss. INCENT was delivered via daily e-mails over 12 months while LMW was delivered quarterly via both newsletters and on-site educational sessions. Generalized linear mixed models were conducted for weight change from baseline to 6 months post-program and using an intention-to-treat analysis to include all participants with baseline weight measurements. RESULTS: Across 28 worksites, 1,790 employees (M = 47 years of age; 79% Caucasian; 74% women) participated. Participants lost an average of 2.27 lbs (P < 0.001) with a BMI decrease of 0.36 kg/m(2) (P < 0.001) and 1.30 lbs (P < 0.01) with a BMI decrease of 0.20 kg/m(2) (P < 0.01) in INCENT and LMW, respectively. The differences between INCENT and LMW in weight loss and BMI reduction were not statistically significant. CONCLUSIONS: This study suggests that INCENT and a minimal intervention alternative may be effective approaches to help decrease the overall obesity burden within worksites.