The Impact of Medicaid Accountable Care Organizations on Health Care Utilization, Quality Measures, Health Outcomes and Costs from 2012 to 2023: A Scoping Review.

Most of the evidence regarding the success of ACOs is from the Medicare program. This review evaluates the impacts of ACOs within the Medicaid population. We identified 32 relevant studies published between 2012 and 2023 which analyzed the association of Medicaid ACOs and health care utilization (n = 21), quality measures (n = 18), health outcomes (n = 10), and cost reduction (n = 3). The results of our review regarding the effectiveness of Medicaid ACOs are mixed. Significant improvements included increased primary care visits, reduced admissions, and reduced inpatient stays. Cost reductions were reported in a few studies, and savings were largely dependent on length of attribution and years elapsed after ACO implementation. Adopting the ACO model for the Medicaid population brings some different challenges from those with the Medicare population, which may limit its success, particularly given differences in state Medicaid programs.

Protocol for creating a dataset of U.S. state alcohol-related firearm laws 2000-2022.

Firearms are a major source of preventable morbidity and mortality in the United States, contributing to over 48,000 deaths in 2022 and generating societal costs in excess of $500 billion. A body of work has examined the relationship between US state level firearm laws and health outcomes, generally finding that some firearm regulations are associated with lower firearm-related mortality. Alcohol has been identified as an additional risk factor for both homicides and suicide and stronger state alcohol laws have been associated with lower rates of suicide. To date, there are no empirical studies that have investigated the impact of laws over a long period of time that target the intersection of alcohol and firearm. One reason for this may be because there is no existing dataset that includes the range of these state laws over time. This study describes the protocol for collecting, coding and operationalizing these legal data.

One year later: What role did trust in public officials and the medical profession play in decisions to get a booster and to overcome vaccine hesitancy?

Physicians may have an important role to play in promoting boosters as well as reducing COVID-19 vaccine hesitancy, but the relationship between hesitancy and trust in the medical profession and these behaviors has been underexplored. A representative online panel of 1,967 US adults that included oversamples of minoritized and rural populations were surveyed in April 2021 and June 2022 regarding their booster and vaccine status and intentions, their views of the medical profession, and their levels of trust in their own doctors, and national and state/local officials. Eighty percent of those vaccinated in 2021 had received a booster by 2022, while fewer than half of those initially reluctant to get a vaccine had gotten one by Wave 2 of the survey. Mean factor scores were calculated for response to a validated scale measuring trust in the medical profession. Linear and logistic regression models estimated the relationship between these factors scores and trust in other officials for those vaccinated as well initial hesitaters/refusers in Wave 1, controlling for population factors. Trust in one's own physician was associated with those vaccinated/eager to be vaccinated getting a booster, while trust in the medical profession was associated with getting a vaccine among those who had previously refused or were hesitant. Trust in other experts was not significantly associated with these behaviors, but wide confidence intervals suggest a need for future research. Innovative strategies, including mobilizing the medical community is needed to address reluctance, uncertainty, and distrust of therapeutic agents in pandemic response.

Enrollment Patterns of Medicare Advantage Beneficiaries by Dental, Vision, and Hearing Benefits.

Importance: Most Medicare beneficiaries now choose to enroll in Medicare Advantage (MA) plans. Racial and ethnic minority group and low-income beneficiaries are increasingly enrolling in MA plans. Objective: To examine whether dental, vision, and hearing supplemental benefits offered in MA plans are associated with the plan choices of traditionally underserved Medicare beneficiaries. Design, Setting, and Participants: This exploratory observational cross-sectional study used data from the 2018 to 2020 Medicare Current Beneficiary Survey linked to MA plan benefits. The nationally representative sample comprised primarily community-dwelling MA beneficiaries enrolled in general enrollment MA plans. Data analysis was performed between April and October 2023. Exposures: Beneficiary self-identified race and ethnicity and combined individual and spouse income and educational attainment. Main Outcomes and Measures: Binary indicators were developed to determine whether beneficiaries were enrolled in a plan offering any dental, comprehensive dental, any vision, eyewear, any hearing, or hearing aid benefit. Mixed-effects logistic regression models were estimated to report average marginal effects adjusted for beneficiary-level demographic and health characteristics, plan attributes, and plan availability. Results: This study included 8139 (weighted N = 31 million) eligible MA beneficiaries, with a mean (SD) age of 77.7 (7.5) years. More than half of beneficiaries (54.9%) were women; 9.8% self-identified as Black, 2.0% as Hispanic, 83.9% as White, and 4.2% as other or multiple races or ethnicities. Plan choices by dental benefits were examined among 7516 beneficiaries who were not enrolled in any dental standalone plan, by vision benefits for 8026 beneficiaries not enrolled in any vision standalone plan, and by hearing benefits for 8131 beneficiaries not enrolled in any hearing standalone plan. Black beneficiaries were more likely to enroll in plans with any dental benefit (9.0 percentage points [95% CI, 3.4-14.4]; P < .001), any comprehensive dental benefit (11.2 percentage points [95% CI, 5.7-16.7]; P < .001), any eye benefit (3.0 percentage points [95% CI, 1.0 to 5.0]; P = .004), or any eyewear benefit (6.0 percentage points [95% CI, 0.6-11.5]; P = .03) compared with White beneficiaries. Lower-income individuals (earning ≤200% of the federal poverty level) were more likely to enroll in a plan with a comprehensive dental benefit (4.4 percentage-point difference [95% CI, 0.1-7.9]; P = .01) compared with higher-income beneficiaries. Beneficiaries without a college degree were more likely to enroll in a plan with a comprehensive dental benefit (4.7 percentage-point difference [95% CI, 1.4-8.0]; P = .005) compared with those with higher educational attainment. Conclusions and Relevance: The results of this study suggest that racial and ethnic minority individuals and those with lower income or educational attainment are more likely to choose MA plans with dental or vision benefits. As the federal government prepares to adjust MA plan star ratings for health equity, implements MA payment cuts, and allows increasing flexibility in supplemental benefit offerings, these findings may inform benefit monitoring for MA.

COVID-19 Vaccine Information Seeking Patterns and Vaccine Hesitancy: A Latent Class Analysis to Inform Practice.

CONTEXT: Throughout the COVID-19 pandemic, state and local health departments served as risk communicators to the public; however, public health practitioners have limited resources at their disposal when trying to communicate information, especially when guidance is rapidly changing. Identifying how the population gathers information across channels and which subsets of the population utilize which channels can help practitioners make the best use of these limited resources. OBJECTIVE: To identify how individuals utilized different information channels to get COVID-19-related information and determine its effect on one COVID-19-related action: vaccine intentions. DESIGN: This study applies latent class analysis to utilization of information channels to characterize information consumption patterns during the COVID-19 infodemic and then explores the relationship between these patterns and vaccine hesitancy. SETTING: The data were collected from the COVID-19 Vaccine Hesitancy Survey , which is a nationally representative sample of US adults 18 years and older recruited from Social Science Research Solutions (SSRS)'s Opinion Panel. PARTICIPANTS: The online survey was conducted between April 7 and April 11, 2021, after the COVID-19 vaccine was available to all adults and enrolled more than 3000 respondents (n = 3014). MAIN OUTCOME MEASURES: Respondents were asked about their frequency of information seeking related to the COVID-19 vaccine, sociodemographics, and vaccine perceptions. RESULTS: Based on fit statistics and prior research, we identified 6 latent classes that characterize information seeking: Nonseekers, Legacy, Legacy + Facebook/Instagram, Traditional Omnivore, Omnivore + Broad Social Media, and Twitter. Sociodemographics, political, economic, and COVID-19 exposure variables are associated with different patterns of seeking information about COVID-19. Membership in 3 of these classes was associated with higher rates of vaccine refusal and vaccine hesitancy. DISCUSSION: The study has implications for public health officials and policymakers who use media channels to share news and health information with the public. Information should be tailored to the sociodemographic profiles of those users who are likely consuming information across multiple different channels.

Mental Health Referrals Among Medicare Advantage Enrollees Receiving Home-Based Annual Wellness Visits in Puerto Rico During the COVID-19 Pandemic.

Annual Wellness Visits (AWV) promote preventive care for older adults, yet uptake remains low. To increase AWVs, a Medicare Advantage (MA) plan in Puerto Rico contracted a medical group to provide home-based AWVs during the last quarter of 2020. Using data from 464 visits, we conducted descriptive and multivariable analysis to profile patient characteristics and identify predictors of mental health referrals. We found that 87% of patients had multiple chronic conditions, 75% were taking more than 5 medications, and the odds of a mental health referral were higher for those who also had a nutrition-related condition (AOR = 5.05, CI95: 1.76-11.88), diabetes (AOR = 3.34, CI95: 1.18-7.58), or an additional reported uncontrolled health issue (AOR = 28.18, CI95: 8.96-70.59). This strategy helped one MA plan reach high-need patients, but coordination of follow-up care is needed to ensure patients receive recommended services.

Impacts of the Affordable Care Act Medicaid Expansion on Mental Health Treatment Among Low-income Adults Across Racial/Ethnic Subgroups, 2010-2017.

This study examines whether the Affordable Care Act (ACA) Medicaid expansion (ME) was associated with changes in racial/ethnic disparities in insurance coverage, utilization, and quality of mental health care among low-income adults with probable mental illness using the National Survey on Drug Use and Health with state identifiers. This study employed difference-in-difference models to compare ME states to non-expansion states before (2010-2013) and after (2014-2017) expansion and triple difference models to examine these changes across non-Hispanic White (NHW), non-Hispanic Black (NHB), and Hispanic/Latino racial/ethnic subgroups. Insurance coverage increased significantly for all racial/ethnic groups in expansion states relative to non-expansion states (DD: 9.69; 95% CI: 5.17, 14.21). The proportion low-income adults that received treatment but still had unmet need decreased (DD: -3.06; 95% CI: -5.92, -0.21) and the proportion with unmet need and no mental health treatment increased (DD: 2.38; 95% CI: 0.03, 4.73). ME was not associated with reduced disparities.

An assessment of court fees, surcharges, and penalties for alcohol-impaired driving in five midwestern U.S. states: implications for exacerbating poverty and health inequalities.

Driving under the influence (DUI) remains an important threat to public health in the United States, and a substantial literature has evaluated the effectiveness of state-mandated penalties. Researchers have overlooked accelerated use of obscured fees and surcharges levied by local and state court systems added to penalties in the past 15 years. We present data regarding DUI penalties for offenders with a blood alcohol content (BAC of 0.08) and the fees and surcharges attached to them in Minnesota, Illinois, Wisconsin, Michigan, and Iowa, and variation in these within Wisconsin at four BAC levels. In all states, surcharges and fees exceed penalty fines substantially. Variation within Wisconsin is also meaningful. Our data suggest that opaque costs in state court systems add a substantial financial burden to DUI penalties, particularly for those with lower incomes. An appraisal of the deterrent role of these added costs is warranted.

Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review.

Background Cardiovascular disease is the leading cause of morbidity and mortality worldwide. Prior research suggests that social determinants of health have a compounding effect on health and are associated with cardiovascular disease. This scoping review explores what and how social determinants of health data are being used to address cardiovascular disease and improve health equity. Methods and Results After removing duplicate citations, the initial search yielded 4110 articles for screening, and 50 studies were identified for data extraction. Most studies relied on similar data sources for social determinants of health, including geocoded electronic health record data, national survey responses, and census data, and largely focused on health care access and quality, and the neighborhood and built environment. Most focused on developing interventions to improve health care access and quality or characterizing neighborhood risk and individual risk. Conclusions Given that few interventions addressed economic stability, education access and quality, or community context and social risk, the potential for harnessing social determinants of health data to reduce the burden of cardiovascular disease remains unrealized.

Stakeholder Perspectives on Data-Driven Solutions to Address Cardiovascular Disease and Health Equity in New York City.

Introduction: There is growing recognition of the importance of addressing the social determinants of health in efforts to improve health equity. In dense urban environments such as New York City, disparities in chronic health conditions (e.g., cardiovascular disease) closely mimic inequities in social factors such as income, education, and housing. Although there is a wealth of data on these social factors in New York City, little is known about how to rapidly use available data sources to address health disparities. Methods: Semistructured interviews were conducted with key stakeholders (N=11) from across the public health landscape in New York City (health departments, healthcare delivery systems, and community-based organizations) to assess perspectives on how social determinants of health data can be used to address cardiovascular disease and health equity, what data-driven tools would be useful, and challenges to using these data sources and developing tools. A matrix analysis approach was used to analyze the interview data. Results: Stakeholders were optimistic about using social determinants of health data to address health equity by delivering holistic care, connecting people with additional resources, and increasing investments in under-resourced communities. However, interviewees noted challenges related to the quality and timeliness of social determinants of health data, interoperability between data systems, and lack of consistent metrics related to cardiovascular disease and health equity. Conclusions: Future research on this topic should focus on mitigating the barriers to using social determinants of health data, which includes incorporating social determinants of health data from other sectors. There is also a need to assess how data-driven solutions can be implemented within and across communities and organizations.

Variance of US Hospital Characteristics by Safety-Net Definition.

This cross-sectional study examines whether characteristics of hospitals differ across 5 frequently used safety-net hospital definitions using 2020 data.

Recreational cannabis legislation and binge drinking in U.S. adolescents and adults.

BACKGROUND: Recreational cannabis laws (RCLs) may have spillover effects on binge drinking. Our aims were to investigate binge drinking time trends and the association between RCLs and changes in binge drinking in the United States (U.S.). METHODS: We used restricted National Survey on Drug Use and Health data (2008-2019). We examined trends in the prevalence of past-month binge drinking by age groups (12-20, 21-30, 31-40, 41-50, 51+). Then, we compared model-based prevalences of past-month binge drinking before and after RCL by age group, using multi-level logistic regression with state random intercepts, an RCL by age group interaction term, and controlling for state alcohol policies. RESULTS: Binge drinking declined overall from 2008 to 2019 among people aged 12-20 (17.54% to 11.08%), and those aged 21-30 (43.66% to 40.22%). However, binge drinking increased among people aged 31+ (ages 31-40: 28.11% to 33.34%, ages 41-50: 25.48% to 28.32%, ages 51+: 13.28% to 16.75%). When investigating model-based prevalences after versus before RCL, binge drinking decreased among people aged 12-20 (prevalence difference=-4.8%; adjusted odds ratio (aOR)=0.77, [95% confidence interval (CI) 0.70-0.85]), and increased among participants aged 31-40 (+1.7%; 1.09[1.01-1.26]), 41-50 (+2.5; 1.15[1.05-1.26]) and 51+ (+1.8%; 1.17[1.06-1.30]). No RCL-related changes were noted in respondents ages 21-30. CONCLUSIONS: Implementation of RCLs was associated with increased past-month binge drinking in adults aged 31+ and decreased past-month binge drinking in those aged < 21. As the cannabis legislative landscape continues to change in the U.S., efforts to minimize harms related to binge drinking are critical.

The Diffusion of Punitive Firearm Preemption Laws Across U.S. States.

INTRODUCTION: Firearm violence is a public health crisis. Most states prohibit local firearm laws, but some states have laws that allow for lawsuits and other penalties against local governments and lawmakers who pass firearm laws deemed preempted. These punitive firearm preemptive laws may reduce firearm policy innovation, discussion, and adoption beyond preemption alone. Yet, it is unknown how these laws spread from state to state. METHODS: In 2022, using an event history analysis framework with state dyads, logistic regression models estimate the factors associated with adoption and diffusion of firearm punitive preemption laws, including state-level demographic, economic, legal, political, population, and state-neighbor factors. RESULTS: As of 2021, 15 states had punitive firearm preemption laws. Higher numbers of background checks (AOR=1.50; 95% CI=1.15, 2.04), more conservative government ideology (AOR=7.79; 95% CI=2.05, 35.02), lower per capita income (AOR=0.16; 95% CI=0.05, 0.44), a higher number of permissive state firearm laws (AOR=2.75; 95% CI=1.57, 5.30), and neighboring state passage of the law (AOR=3.97; 95% CI=1.52, 11.51) were associated with law adoption. CONCLUSIONS: Both internal and external state factors predict the adoption of punitive firearm preemption. This study may provide insight into which states are susceptible to adoption in the future. Advocates, especially in neighboring states without such laws, may want to focus their firearm safety policy efforts on opposing the passage of punitive firearm preemption.

Is patients' trust in clinicians related to patient-clinician racial/ethnic or gender concordance?

OBJECTIVE: To examine the relationship between patient-clinician concordance (racial/ethnic and gender) and patients' trust in their regular clinician. METHODS: This mixed methods study used the 2019 U.S. Health Reform Monitoring Survey to examine concordance and patient trust in clinicians, and semi-structured interviews with 24 participants to explore patients' perceptions of how concordance relates to trust in their clinician. RESULTS: Almost six in ten adults (59.8%) who had a regular clinician reported having trust in their clinician. White, Black, and Latino participants were similarly likely to report trust. Those with racial/ethnic concordant clinicians were 7.5 percentage points more likely to report trust than were those with non-concordant clinicians (62.4% vs 54.9%). This finding was consistent for men and women, and did not differ significantly across racial and ethnic groups. In interviews, while almost all participants described having trusted non-racial/ethnic concordant clinicians, several described immediately trusting concordant clinicians. In contrast, we did not observe a consistent relationship between patient-clinician gender concordance and trust. CONCLUSION: The findings underscore the importance of increasing the number of Black and Latino clinicians, and also highlight that all clinicians need to work hard to build trust with patients from different racial/ethnic backgrounds.

Firearm Laws Enacted by Municipalities in 6 States With Diverse Policy Frameworks.

INTRODUCTION: Firearm violence is a public health crisis. Municipalities are frequently prevented from adopting firearm-related laws because of state preemption-when the state limits local authority to enact laws on a specific topic. Yet, it is unknown the extent to which municipalities enact firearm-related laws under varying preemption regimes, the content of such laws, and how municipal laws relate to the state's firearm-policy framework. METHODS: A purposeful sample of 6 states with diverse preemption laws were chosen; 3 with robust preemption: South Carolina, Maryland, and Arizona; 1 with moderate preemption: Nebraska; and 2 without preemption: Connecticut and New York. Using Lexis+, municipal codes as of December 31, 2020 were identified, and the policy topics were evaluated and compared with the state's policy framework. Counties representing the municipalities identified were characterized using public use data. RESULTS: In total, 613 municipal policies were identified, covering 56 topics. The number of policy topics enacted by at least 1 municipality in the state included 18 for Arizona, 21 for Connecticut, 24 for Maryland, 25 for Nebraska, 40 for New York, and 28 for South Carolina. The most common policy identified was restricting public discharge in community-centered locations. Local laws in preemption states replicated state requirements or were consistent with savings clauses expressly allowing local action. New York City, a municipality in a state without preemption, enacted laws covering the most policy topics of the municipalities identified. CONCLUSIONS: When not constrained by state preemption, local lawmakers actively passed firearm-related legislation. Many such laws are specific to local contexts and may reflect local lawmakers' responsiveness to constituent concerns.

Documenting the Impact Potential of a Menthol Cigarette Ban at Point-of-Sale: A Photograph-Based Analysis of the Presence and Placement of Menthol Versus Regular Cigarette Packs on the Shelves of Tobacco Retail Outlets in New York City.

INTRODUCTION: To investigate the absolute and proportionate number of menthol versus regular cigarette packs displayed on the shelves inside tobacco retail outlets (TROs) across New York City (NYC). AIMS AND METHODS: Photographic surveillance methods were used to capture the presence and proportionate amount of all visible cigarette packs on the shelves inside N = 160 TROs. Statistical analyses examined the absolute and proportionate number of menthol packs in each TRO as a function of NYC borough, the local TRO environment, population smoking rates derived from the NYC Community Health Survey, and other demographic indicators from the American Community Survey. RESULTS: The total number of cigarette packs on the shelves of each TRO and the proportion of menthol packs varied significantly across TROs, averaging about one-quarter of all packs displayed (M = 0.274; SD = .15). Modeling results indicate that the proportion of menthol packs displayed was significantly greater in areas with elevated population smoking rates (odds ratio [OR] = 1.03, CI: 1.01-1.06) and density of TROs per 1000 residents (OR = 1.23; CI: 1.01-1.49), although these associations varied in complex ways with the proportion living under the federal poverty level and the proportion under age 18 years residing within each zip-code. CONCLUSIONS: Results of this study demonstrate the utility of photograph-based TRO audit methods for objective, reliable documentation of the presence and proportionate amount of menthol versus other cigarette pack types on TRO shelves and highlight the need to account for sources of variation between small areas when examining the TRO product landscape and evaluating the effectiveness of regulatory actions against menthol. IMPLICATIONS: This study describes use of a "hands-free" surveillance technique that offers valuable advantages over traditional retailer surveillance techniques. Comprehensive photographic surveillance data collection allows for more objective measurements of, in this case, the retail outlet's tobacco power wall, as multiple coders can review the same images and interrater reliability can be empirically tested. The results of this analysis highlight the need to account for local variation between small areas when examining TRO product landscapes and the effects of policy changes at the retailer level.

Association between COVID-19 vaccine hesitancy and trust in the medical profession and public health officials.

One's personal physician, national and state or local public health officials, and the broader medical profession play important roles in encouraging vaccine uptake for COVID-19. However, the relationship between trust in these experts and vaccine hesitancy has been underexplored, particularly among racial/minority groups where historic medical mistrust may reduce uptake. Using an April 2021 online sample of US adults (n = 3041) that explored vaccine hesitancy, regression models estimate levels of trust in each of these types of experts and between trust in each of these experts and the odds of being COVID-19 vaccine takers vs refusers or hesitaters. Interaction terms assess how levels of trust in the medical profession by race/ethnicity are associated with vaccine hesitancy. Trust in each expert is positively associated with trust in other experts, except for trust in the medical profession. Only trust in one's own doctor was associated with trust in the medical profession, as measured by factor scores derived from a validated scale. Lower levels of trust in experts were significantly associated with being either a hesitater or a refuser compared to being a taker. Black respondents had higher odds of being either a hesitater or a refuser compared to white respondents but the interaction with trust was insignificant. For Hispanic respondents only, the odds of being a hesitater declined significantly when trust in the medical profession rose. Mistrust in the medical profession, one's doctor and national experts contributes to vaccine hesitancy. Mobilizing personal physicians to speak to their own patients may help.

Do alcohol policies affect everyone equally? An assessment of the effects of state policies on education-related patterns of alcohol use, 2011-2019.

BACKGROUND: Public policies are a powerful tool to change behaviors that may harm population health, but little is known about how state alcohol policies affect different population groups. This study assesses the effects of a comprehensive measure of the state alcohol regulatory environment (the State Alcohol Policy Score or SAPS) on heavy drinking-a risk factor for premature death-on different population groups, defined by levels of educational attainment, then by race/ethnicity, and sex. METHODS: We pool each state's Behavioral Risk Factor Surveillance Survey (BRFSS) 2011-2019 and use robust Poisson regression analyses that control for individual-level factors, state-level factors (1 year lagged SAPS score for each state, state fixed effects), and year fixed effects to assess the relationship between SAPS and heavy drinking behaviors by education group. Interaction terms test whether education moderates the relationship by race/ethnicity and gender. RESULTS: SAPS scores increased 2010-2018, but substantial gaps persist between states. A 10 % increase in a state's alcohol policy score is associated with a 2 % lower prevalence in current drinking (APR=0.97, 95 % CI=0.97-0.97, p < 0.0011) although not for those with a high school education or less. A 10 % increase in the SAPS was associated with a 3 % lower prevalence of heavy drinking; interaction terms in models reveal that a 10 % increase in the SAPS was associated with a lower prevalence of heavy drinking among those with less than a college education. CONCLUSION: Narrowing gaps in alcohol policies between states may reduce heavy drinking among those with lower educational attainment.