Community-Based Cluster-Randomized Trial to Reduce Opioid Overdose Deaths.

BACKGROUND: Evidence-based practices for reducing opioid-related overdose deaths include overdose education and naloxone distribution, the use of medications for the treatment of opioid use disorder, and prescription opioid safety. Data are needed on the effectiveness of a community-engaged intervention to reduce opioid-related overdose deaths through enhanced uptake of these practices. METHODS: In this community-level, cluster-randomized trial, we randomly assigned 67 communities in Kentucky, Massachusetts, New York, and Ohio to receive the intervention (34 communities) or a wait-list control (33 communities), stratified according to state. The trial was conducted within the context of both the coronavirus disease 2019 (Covid-19) pandemic and a national surge in the number of fentanyl-related overdose deaths. The trial groups were balanced within states according to urban or rural classification, previous overdose rate, and community population. The primary outcome was the number of opioid-related overdose deaths among community adults. RESULTS: During the comparison period from July 2021 through June 2022, the population-averaged rates of opioid-related overdose deaths were similar in the intervention group and the control group (47.2 deaths per 100,000 population vs. 51.7 per 100,000 population), for an adjusted rate ratio of 0.91 (95% confidence interval, 0.76 to 1.09; P = 0.30). The effect of the intervention on the rate of opioid-related overdose deaths did not differ appreciably according to state, urban or rural category, age, sex, or race or ethnic group. Intervention communities implemented 615 evidence-based practice strategies from the 806 strategies selected by communities (254 involving overdose education and naloxone distribution, 256 involving the use of medications for opioid use disorder, and 105 involving prescription opioid safety). Of these evidence-based practice strategies, only 235 (38%) had been initiated by the start of the comparison year. CONCLUSIONS: In this 12-month multimodal intervention trial involving community coalitions in the deployment of evidence-based practices to reduce opioid overdose deaths, death rates were similar in the intervention group and the control group in the context of the Covid-19 pandemic and the fentanyl-related overdose epidemic. (Funded by the National Institutes of Health; HCS ClinicalTrials.gov number, NCT04111939.).

Exploring the association between post-critical incident intervention preferences and self-reported coping self-efficacy among firefighters.

Critical incident stress debriefing (CISD) is a commonly utilized intervention in the fire service that aims to minimize psychological harm and adverse mental health outcomes after a potentially traumatic incident. This study aimed to explore firefighter preferences regarding CISD and alternative post-critical incident interventions in relation to firefighter coping self-efficacy (FFCSE) and trauma coping self-efficacy (CSE-T). Firefighters (N = 241) completed an online survey and provided complete data. Most participants were White (n = 203, 84.2%), non-Hispanic (n = 221, 91.7%) men (94.2%; n = 227). CISD was the most preferred intervention among firefighters (n = 113, 46.9%) as compared to informal peer support (n = 31, 12.9%), formal one-on-one counseling (n = 29, 12.0%), and no intervention (n = 68, 28.2%). Firefighters who preferred CISD had statistically significant lower levels of FFCSE, R2 = .033-.044, ps = .012-.030, and CSE-T, R2 = .035-.061 ps = .017-.024, compared to those who preferred no intervention. Firefighters who preferred formal one-on-one counseling had statistically significantly lower levels of FFCSE, R2 = .033-.044, ps = .003-.011, and CSE-T, R2 = .035-0.061, p < .001-p = .002, compared to those who preferred no intervention. The findings from this study may guide future research to increase knowledge on firefighter intervention preferences and the association between preference and coping self-efficacy.

Longitudinal Changes in Self-Reported Alcohol Consumption by Mothers' During the COVID-19 Pandemic.

Previous research shows that drinking by mothers was higher during the initial stages of the pandemic. Less is known about whether these drinking levels were maintained years after the first stay-at-home orders. Using three waves of data, each approximately a year apart, drinks per day remain elevated, whereas drinking frequency and continued volume have decreased during subsequent waves.

Enhancing Permanency in Children and Families (EPIC): a child welfare intervention for parental substance abuse.

BACKGROUND: Across Ohio, parental substance abuse has contributed to a marked increase in the number of children in foster care. Children exposed to parental substance use have a higher likelihood of physical abuse and neglect, and consequently a variety of physical, psychological and cognitive problems. The Enhancing Permanency in Children and Families (EPIC) program is a collaborative effort between the Ohio State University College of Social Work, two county offices of the Ohio Department of Job and Family Services, two juvenile courts and local behavioral health agencies. The goal of EPIC is to use three evidence-based and evidence-informed practices to reduce abusive and neglectful parenting, reduce addiction severity in parents, and improve permanency outcomes for families involved with the child welfare system due to substance abuse. METHODS: EPIC is a quasi-experimental study. Under the program, child welfare-involved adults who screen positive for substances are matched with a peer recovery supporter. Participants are also incentivized to participate in family treatment drug court, medications for opioid use disorders and home-based parenting supports. Participating adults (N = 250) are matched with comparison groups from counties participating in a separate intervention (Ohio START) and to those receiving treatment as usual, resulting in a final sample of 750 adults. Primary outcomes including addiction severity, child trauma symptoms, resilience, and attachment are assessed at baseline and at program completion. Additional outcomes include timely access to treatment services, length of placement in out-of-home care and recidivism into the child welfare system. DISCUSSION: This intervention formalizes cross-system collaboration between child welfare, behavioral health and juvenile courts to support families affected by addiction. The use of three evidence-based or evidence-informed strategies presents the opportunity to determine specific strategies that are most effective for reducing addiction severity. Lastly, the intervention combines several sources of funding to bolster sustainability beyond the life of the Regional Partnership Grant (RPG). TRIAL REGISTRATION: NCT04700696 . Registered January 7, 2021-retrospectively registered.

Types of Substance Use and Punitive Parenting: A Preliminary Exploration.

Very little is known about how type of substance use is comparatively related to a range of parenting behaviors. We conduct a preliminary examination to ascertain effects of substance type on physical abuse compared with other child discipline tactics with data from a telephone survey in 2009 of 3,023 parents in 50 cities in California. Kruskal-Wallis tests and hierarchical generalized linear models are conducted to determine the relationship between substance type and frequency of nonviolent discipline, corporal punishment, and child physical abuse. Type of drug used is differentially related to use of discipline strategies in multivariate models. Nonviolent discipline and corporal punishment show a dose-response relationship when a parent who reported using more substances also reported using both types of discipline more frequently. We suggest that addiction professionals should consider partnering with a specialist in child development or child welfare to conduct in-depth assessments of parenting strategies among the highest-risk groups, such as those with past-year alcohol use or a history of polysubstance use or methamphetamine use.

Examination of Market Segmentation among Medical Marijuana Dispensaries.

BACKGROUND: As medical marijuana legislation becomes more common, concerns arise about the overconcentration of dispensaries, raising questions about the number of medicinal marijuana dispensaries (MMD) needed to serve medicinal users. OBJECTIVES: This paper applies niche-marketing theory-which suggests dispensaries market to specific types of people-to examine if MMDs might be targeting recreational users. Observed differences between dispensary populations and between dispensary clients and local residents may indicate that dispensaries are drawing in patients based on factors other than medical need. METHODS: Data were collected via exit surveys with patients at four dispensaries in Long Beach, CA. A total of 132 patients were surveyed regarding demographic data, purchase information, medical condition, and nearest cross street for their home address. Census tract information was collected for every dispensary. RESULTS: Chi-squared tests show significant associations between dispensary visited and race (χ2 = 31.219, p < 0.001) and significant associations between medical condition and dispensary visited (χ2 = 22.123, p < 0.05). Lastly, we found that all four of the dispensaries had patients who were different from community residents in some characteristics. CONCLUSIONS: There were significant differences relating to race, medical condition, and distance traveled across dispensaries. Results suggest dispensary users do not necessarily reside in the same area in which dispensaries are located and do not necessarily reflect the local population. Taken together these results provide some support for market segmentation.

Who's Buying What and How Much? Correlates of Purchase Behaviors From Medical Marijuana Dispensaries in Los Angeles, California.

Venue-based distribution of marijuana has become the normative model in the United States to obtain marijuana. This study examines one-time purchase behaviors at medical marijuana dispensaries (MMDs) to identify potential venue- and individual-level targets for prevention. We used a two-stage, venue-based sampling approach to randomly select patrons exiting 16 MMDs in Los Angeles, California during the spring of 2013. Patrons (N = 595) reported their discrete purchase behaviors during their most recent visit to the sampled MMD. We used hierarchical linear modeling to examine the amount spent on marijuana products, regressed on characteristics of the sampled dispensaries and their patrons. We used hierarchical generalized linear modeling to examine the likelihood of purchasing specific types of marijuana products and total grams of loose-leaf buds purchased. Patrons spent US$41.73 on average, with a range of $0-$330. We observed significant variation in purchase behaviors across MMDs and associations between venues located within high median income census tracts and a higher total amount spent and lower odds of purchasing only loose-leaf buds. The networked distance between a patron's home and the sampled MMD was positively associated with the total amount spent and total quantity of buds purchased. We also found significant relationships between medical conditions reported for use in three models: total amount spent, purchase of pre-rolled joints, and total grams of buds purchased. Policy makers may want to explore regulating the availability of specialty items that may be attractive to naïve users, such as pre-rolled joints or edibles, or high-concentration products that may be sought out by regular, heavy users.

Do characteristics of marijuana use correspond to overall health levels for medical marijuana patients?

The current study assesses how characteristics of medical marijuana use are related to general health status and past year change in health. An analytic sample of 312 patients were recruited from 16 medical marijuana dispensaries across Los Angeles, California. Patients completed a short intercept survey and a longer patient survey. Surveys asked information about health, marijuana use behaviors, preferred ways to use marijuana, marijuana recommendation, and sociodemographic information. Data were analyzed using hierarchical linear modeling of patients nested within dispensaries. For general health status, patients who smoke marijuana, have more medical conditions for which they received their medical marijuana recommendation, and use marijuana more times per day report lower levels of general health. The number of days using marijuana per month was related to worse health in the past year. Medical marijuana use does not appear to improve overall health status according to the results presented here, but is limited by the cross-sectional nature of the study. As the legalization of medical marijuana use continues to grow across the United States, identifying how marijuana is related to health will allow physicians to better determine who may benefit from its use.

The development and pilot testing of the marijuana retail surveillance tool (MRST): assessing marketing and point-of-sale practices among recreational marijuana retailers.

As recreational marijuana expands, it is critical to develop standardized surveillance measures to study the retail environment. To this end, our research team developed and piloted a tool assessing recreational marijuana retailers in a convenience sample of 20 Denver retailers in 2016. The tool assesses: (i) compliance and security (e.g. age-of-sale signage, ID checks, security cameras); (ii) marketing (i.e. promotions, product availability and price) and (iii) contextual and neighborhood features (i.e. retailer type, facilities nearby). Most shops (90.0%) indicated the minimum age requirement, all verified age. All shops posted interior ads (M = 2.6/retailer, SD = 3.4), primarily to promote edibles and other non-smoked products. Price promotions were common in shops (73.7%), 57.9% used social media promotions and 31.6% had take-away materials (e.g. menus, party promotions). Nearly half of the shops (42.1%) advertised health claims. All shops offered bud, joints, honey oil, tinctures, kief, beverages, edibles and topicals; fewer sold clones and seeds. Six shops (31.6%) sold shop-branded apparel and/or paraphernalia. Prices for bud varied within and between stores ($20-$45/'eighth', ∼3.5 g). Twelve were recreational only, and eight were both recreational and medicinal. Liquor stores were commonly proximal. Reliability assessments with larger, representative samples are needed to create a standardized marijuana retail surveillance tool.

Evaluating the Change in Medical Marijuana Dispensary Locations in Los Angeles Following the Passage of Local Legislation.

In May 2013, Los Angeles voters approved Proposition D, a regulatory measure that set zoning restrictions and capped the number of dispensaries at those that opened before 2007. Specifically, Proposition D stated that only 135 dispensaries were allowed to be in operation and set zoning restrictions prohibiting dispensaries from operating in certain areas. We first assessed whether the legislation changed the physical availability of medical marijuana via dispensaries in Los Angeles. We then used two data points 1 year prior to and 1 year following the implementation of Proposition D to determine if the locations of where the dispensaries are located changed after the enactment of Proposition D. Using a cross-sectional, ecological design, we investigated the change in dispensaries from 2012 to 2014 for Census tracts within the city of Los Angeles (N = 1000). We analyzed data using spatial error regression models that included controls for spatial autocorrelation due to the spatial structure of the data. We found that while the total number of dispensaries in Los Angeles remained largely unchanged, the spatial distribution of dispensaries did change in meaningful ways. Census tracts with more dispensaries in 2014 were significantly and positively associated with the proportion of African American residents and negatively associated with the percent of area that was commercially zoned. In other words, dispensaries opened in areas with a higher proportion of Black residents and closed in Census tract areas that had a higher percentage of commercially zoned land. Findings from this study highlight the importance of continuously regulating dispensary locations. Results suggest that likely as a result of changing regulations, dispensaries may be attempting to conceal their presence and locate in areas that will not advocate against their presence.

From Medical to Recreational Marijuana Sales: Marijuana Outlets and Crime in an Era of Changing Marijuana Legislation.

A movement from medical to recreational marijuana use allows for a larger base of potential users who have easier access to marijuana, because they do not have to visit a physician before using marijuana. This study examines whether changes in the density of marijuana outlets were related to violent, property, and marijuana-specific crimes in Denver, CO during a time in which marijuana outlets began selling marijuana for recreational, and not just medical, use. We collected data on locations of crimes, marijuana outlets and covariates for 481 Census block groups over 34 months (N = 16,354 space-time units). A Bayesian Poisson space-time model assessed statistical relationships between independent measures and crime counts within "local" Census block groups. We examined spatial "lag" effects to assess whether crimes in Census block groups adjacent to locations of outlets were also affected. Independent of the effects of covariates, densities of marijuana outlets were unrelated to property and violent crimes in local areas. However, the density of marijuana outlets in spatially adjacent areas was positively related to property crime in spatially adjacent areas over time. Further, the density of marijuana outlets in local and spatially adjacent blocks groups was related to higher rates of marijuana-specific crime. This study suggests that the effects of the availability of marijuana outlets on crime do not necessarily occur within the specific areas within which these outlets are located, but may occur in adjacent areas. Thus studies assessing the effects of these outlets in local areas alone may risk underestimating their true effects.

Assessing Sample Bias among Venue-Based Respondents at Medical Marijuana Dispensaries.

Venue-based sampling is the identification of, and outreach to, locations visited by the population of interest for the purpose of collecting data. The method is frequently used to reach specific populations, commonly referred to as "hidden populations." Medical marijuana users represent a hidden population of persons who use marijuana for medicinal purposes. We examine whether venue-based procedures introduce selection or non-respondent bias into the study. The venue based sampling procedures employed for the UCLA Medical Marijuana Study used a two-stage, venue-based sampling approach. First, analyses were conducted to assess potential bias within dispensaries that agreed to participate in the surveys. Secondly, analyses were conducted to examine differences among patrons who responded to surveys. Overall, selection bias was generally absent among study results. Results also illuminated the minimal respondent bias observed among the survey respondents. Results suggest that the use of dispensaries to access and survey medical marijuana users is a viable option to gather patient information that adequately represents the greater population of medical marijuana users in Los Angeles. Thus, recommendations and conclusions based on findings from venue-based studies of medical marijuana users at dispensary sites serve to impartially inform meaningful research.

Correlates of Amount Spent on Marijuana Buds During a Discrete Purchase at Medical Marijuana Dispensaries: Results from a Pilot Study.

Marijuana purchasing behaviors vary by the purchaser's individual characteristics; however, little is known about patients' purchasing behaviors when buying from medical marijuana dispensaries (MMDs). Our objective was to explore whether patient characteristics were associated with amount spent during one financial transaction at medical marijuana dispensaries. We conducted a pilot study of four purposively sampled MMD locations in Long Beach, California, in 2012. A total of 132 medical marijuana patients (33 patients per dispensary) participated in an exit survey about their demographic characteristics, conditions for their medical marijuana recommendation, amount spent at the dispensary, and cross-streets of where they lived. The sample reported amounts spent on discrete purchases of marijuana buds averaging $40.82 (ranging from $10 to $255). Multivariate regression analyses indicated average amount spent differed significantly by patient age and condition. An increase in 10 years of age was associated with a 10% higher amount spent. Receiving a recommendation for anxiety and/or sleeping problems or other nonspecified conditions was related to higher discrete purchase amounts than chronic pain. This pilot suggests that variations in patient purchasing behaviors from MMDs exist. These purchase behaviors can provide insight into variations in how patients use dispensaries, consume products, and allocate personal resources.

Testing a Social Mechanism: Does Alcohol Outlet Density Moderate the Relationship Between Levels of Alcohol Use and Child Physical Abuse?

OBJECTIVES: Parental alcohol use and alcohol outlet density are both associated with child abuse. Guided by alcohol availability theory, this article examines whether alcohol outlet density moderates the relationship between parental alcohol use and child physical abuse. METHODS: A general population telephone survey of 3,023 parents or legal guardians 18 years or older was conducted across 50 California cities, whereas densities of alcohol outlets were measured for by zip code. Data were analyzed via overdispersed multilevel Poisson models. RESULTS: Ex-drinkers, light drinkers, and heavy drinkers use physical abuse more often than lifetime abstainers. Moderate drinking was not related to child physical abuse. Proportion of bars was negatively related to frequency of physical abuse. Moderating relationships between alcohol outlet density and drinking categories were found for all drinking patterns. CONCLUSION: Different types of alcohol outlets may be differentially related to drinking patterns, indicating that the interaction of drinking patterns and the drinking environment may place children at greater risk for being physically abused.

Where Are the Beds? Housing Locations for Transition Age Youth Exiting Public Systems.

Transition age youth (TAY) from the child welfare and juvenile justice systems experience high rates of homelessness, but little is known about the neighborhoods to which they return after they exit these systems. This exploratory study investigates whether housing options are located in areas where TAY exit public systems and if the characteristics of areas surrounding these facilities support their transition to adulthood. Results show that housing is not related to areas where TAY exit public systems. Further, supportive housing and shelter density is related to low-income areas. Implications for practice and policy on housing locations for TAY are discussed.

Understanding the Role of Context-Specific Drinking in Neglectful Parenting Behaviors.

AIMS: Child neglect is the most common form of child maltreatment, yet little is known about how drinking context may be related to particular subtypes of child neglect. This study examines the relationship between parental drinking in multiple contexts and the use of supervisory and physical neglectful. METHODS: A sample of 2152 parents of children 12 years or younger in 50 cities in California was obtained using a computer-assisted telephone interview. Past-year prevalence of child neglect was measured using the Multidimensional Neglectful Behavior Scale. Information was collected on past month or past-year frequency of having at least one drink in five contexts, continued drinking measures (e.g. number of drinks after the first drink) and sociodemographics. Data were analyzed using multilevel random effects logit models. RESULTS: Frequency of drinking in various contexts was related to different neglect subtypes. Specifically, frequency of drinking with friends was positively related leaving a child home alone when an adult should be present. Parents who drank more frequently with family were less likely to leave their child home alone in the past year yet more likely to unsafely monitor their child in the past year. Drinking at parties more often was related to being more likely to leave a child alone in a car sometime during the past year. CONCLUSIONS: That no single drinking context is universally problematic for supervisory and physical neglect suggests that different social mechanisms may underlie the relationships observed between different drinking contexts and neglect subtypes.

Inadequate child supervision: The role of alcohol outlet density, parent drinking behaviors, and social support.

Supervisory neglect, or the failure of a caregiver to appropriately supervise a child, is one of the predominant types of neglectful behaviors, with alcohol use being considered a key antecedent to inadequate supervision of children. The current study builds on previous work by examining the role of parental drinking and alcohol outlet densities while controlling for caregiver and child characteristics. Data were obtained from 3,023 participants via a telephone survey from 50 cities throughout California. The telephone survey included items on neglectful parenting practices, drinking behaviors, and socio-demographic characteristics. Densities of alcohol outlets were measured for each of the 202 zip codes in the study. Multilevel Bernoulli models were used to analyze the relationship between four supervisory neglect parenting practices and individual-level and zip code-level variables. In our study, heavy drinking was only significantly related to one of our four outcome variables (leaving a child where he or she may not be safe). The density of on premise alcohol outlets was positively related to leaving a child home alone when an adult should be present. This study demonstrates that discrete relationships exist between alcohol related variables, social support, and specific supervisory neglect subtypes at the ecological and individual levels.

Effects of the Sacramento Neighborhood Alcohol Prevention Project on rates of child abuse and neglect 7 years post-implementation (1999-2010).

INTRODUCTION: Evaluations of alcohol environmental prevention efforts examine short-term effects of these interventions on alcohol-related problems. We examine whether the effects of the Sacramento Neighborhood Alcohol Prevention Project (SNAPP), an alcohol environmental intervention aimed to reduce alcohol-related problems in two neighbourhoods, on child abuse and neglect remained 7 years post-implementation. METHODS: SNAPP used a quasi-experimental non-equivalent control group design, where intervention activities occurred in the South area, followed by those in the North area 2 years later. Our sample size is 3912 space-time units (326 census block groups × 12 years [1999-2010]). Outcomes were measured at the household level and included: (i) all foster care entries total; and (ii) the subset of foster care entries that were alcohol related. Data were analysed using Bayesian conditionally autoregressive space-time models. RESULTS: We find that the decreases in total (relative rate [RR] = 0.882, 95% credible interval [CrI] 0.795, 0.980) and alcohol-related (RR = 0.888, 95% CrI 0.791, 0.997) foster care entries remain in the North intervention area although the magnitude of those changes are smaller than immediately post-intervention. Increases found in alcohol-related foster care entries in the South area immediately post-intervention were not significant 7 years later (RR = 1.128, 95% CrI 0.975, 1.307). DISCUSSION AND CONCLUSIONS: Reductions in child abuse and neglect due to an alcohol environmental intervention can be maintained. Environmental interventions that provide community-level primary prevention strategies could be more easily sustained and more cost effective than individual-level interventions, although more research is needed to identify why interventions may be successful in specific contexts and not others.

The Spatial Scale and Spread of Child Victimization.

Previous research shows that large, densely populated urban areas have higher rates of child victimization that have persisted over time. However, few investigations have inquired about the processes that produce and sustain hot and cold spots of child victimization. As a result, the mechanisms that produce the observed spatial clustering of child victimization, and hence "why" harms against children tend to cluster in space, remains unknown. Does the likelihood of being a victim of violence in one location depend on a similar event happening in a nearby location within a specified timeframe? Rather, are child victims of violence more likely to reside in suboptimal neighborhood conditions? This paper aims to present an analytical and theoretical framework for distinguishing between these locational (point) processes to determine whether the empirical spatial patterns undergirding child victimization are more reflective of the "spread" via contagion (i.e., dependency) or whether they are produced by neighborhood structural inequality resulting from spatial heterogeneity. To detect spatial dependence, we applied the inhomogeneous K-function to Los Angeles Medical Examiner data on child homicide victim locations while controlling for regional differences in victimization events (i.e., heterogeneity). Our analysis found strong evidence of spatial clustering in child victimization at small spatial scales but inhibition at larger scales. We further found limited support for the spatiotemporal clustering of child victimization indicative of a contagion effect. Overall, our results support the role of neighborhood structural vulnerability in the underlying mechanisms producing patterns of child victimization across Los Angeles County. We conclude by discussing the policy implications for understanding this spatial patterning in geographical context and for developing effective and targeted preventive interventions.

Effect of the Communities that HEAL intervention on receipt of behavioral therapies for opioid use disorder: A cluster randomized wait-list controlled trial.

BACKGROUND: The U.S. opioid overdose crisis persists. Outpatient behavioral health services (BHS) are essential components of a comprehensive response to opioid use disorder and overdose fatalities. The Helping to End Addiction Long-Term® (HEALing) Communities Study developed the Communities That HEAL (CTH) intervention to reduce opioid overdose deaths in 67 communities in Kentucky, Ohio, New York, and Massachusetts through the implementation of evidence-based practices (EBPs), including BHS. This paper compares the rate of individuals receiving outpatient BHS in Wave 1 intervention communities (n = 34) to waitlisted Wave 2 communities (n = 33). METHODS: Medicaid data included individuals ≥18 years of age receiving any of five BHS categories: intensive outpatient, outpatient, case management, peer support, and case management or peer support. Negative binomial regression models estimated the rate of receiving each BHS for Wave 1 and Wave 2. Effect modification analyses evaluated changes in the effect of the CTH intervention between Wave 1 and Wave 2 by research site, rurality, age, sex, and race/ethnicity. RESULTS: No significant differences were detected between intervention and waitlisted communities in the rate of individuals receiving any of the five BHS categories. None of the interaction effects used to test the effect modification were significant. CONCLUSIONS: Several factors should be considered when interpreting results-no significant intervention effects were observed through Medicaid claims data, the best available data source but limited in terms of capturing individuals reached by the intervention. Also, the 12-month evaluation window may have been too brief to see improved outcomes considering the time required to stand-up BHS. TRIAL REGISTRATION: Clinical Trials.gov http://www. CLINICALTRIALS: gov: Identifier: NCT04111939.