Measuring variation in infant mortality and deaths of despair by US congressional district in Pennsylvania: a methodological case study.

Many ecological studies examine health outcomes and disparities using administrative boundaries such as census tracts, counties, or states. These boundaries help us to understand the patterning of health by place, along with impacts of policies implemented at these levels. However, additional geopolitical units (units with both geographic and political meaning), such as congressional districts (CDs), present further opportunities to connect research with public policy. Here we provide a step-by-step guide on how to conduct disparities-focused analysis at the CD level. As an applied case study, we use geocoded vital statistics data from 2010-2015 to examine levels of and disparities in infant mortality and deaths of despair in the 19 US CDs of Pennsylvania for the 111th-112th (2009-2012) Congresses and 18 CDs for the 113th-114th (2013-2016) Congresses. We also provide recommendations for extending CD-level analysis to other outcomes, states, and geopolitical boundaries, such as state legislative districts. Increased surveillance of health outcomes at the CD level can help prompt policy action and advocacy and, hopefully, reduce rates of and disparities in adverse health outcomes.

A Mixed-Methods Exploration of the Implementation of Policies That Earmarked Taxes for Behavioral Health.

Policy Points Earmarked tax policies for behavioral health are perceived as having positive impacts related to increasing flexible funding, suggesting benefits to expand this financing approach. Implementation challenges related to these earmarked taxes included tax base volatility that impedes long-term service delivery planning and inequities in the distribution of tax revenue. Recommendations for designing or revising earmarked tax policies include developing clear guidelines and support systems to manage the administrative aspects of earmarked tax programs, cocreating reporting and oversight structures with system and service delivery agents, and selecting revenue streams that are relatively stable across years. CONTEXT: Over 200 cities and counties in the United States have implemented policies earmarking tax revenue for behavioral health services. This mixed-methods study was conducted with the aim of characterizing perceptions of the impacts of these earmarked tax policies, strengths and weaknesses of tax policy designs, and factors that influence decision making about how tax revenue is allocated for services. METHODS: Study data came from surveys completed by 274 officials involved in behavioral health earmarked tax policy implementation and 37 interviews with officials in a sample of jurisdictions with these taxes-California (n = 16), Washington (n = 12), Colorado (n = 6), and Iowa (n = 3). Interviews primarily explored perceptions of the advantages and drawbacks of the earmarked tax, perceptions of tax policy design, and factors influencing decisions about revenue allocation. FINDINGS: A total of 83% of respondents strongly agreed that it was better to have the tax than not, 73.2% strongly agreed that the tax increased flexibility to address complex behavioral health needs, and 65.1% strongly agreed that the tax increased the number of people served by evidence-based practices. Only 43.3%, however, strongly agreed that it was easy to satisfy tax-reporting requirements. Interviews revealed that the taxes enabled funding for services and implementation supports, such as training in the delivery of evidence-based practices, and supplemented mainstream funding sources (e.g., Medicaid). However, some interviewees also reported challenges related to volatility of funding, inequities in the distribution of tax revenue, and, in some cases, administratively burdensome tax reporting. Decisions about tax revenue allocation were influenced by goals such as reducing behavioral health care inequities, being responsive to community needs, addressing constraints of mainstream funding sources, and, to a lesser degree, supporting services considered to be evidence based. CONCLUSIONS: Earmarked taxes are a promising financing strategy to improve access to, and quality of, behavioral health services by supplementing mainstream state and federal financing.

United States Federal Policies Contributing to Health and Health Care Inequities in Puerto Rico.

Puerto Rico, a territory of the United States since 1898, has recently experienced an increasing frequency and intensity of natural disasters and public health emergencies. In 2022, Hurricane Fiona became the latest storm to attract media attention and cast a light on Puerto Rico's deteriorating conditions, including infrastructural failings, health care provider shortages, and high levels of chronic illness. Although recent events have been uniquely devastating, decades of inequitable US federal policy practices have fueled the persistence of health inequities in the territory. Here we demonstrate how existing health and health care inequities in Puerto Rico have been exacerbated by compounding disasters but are rooted in the differential treatment of the territory under US federal policies. Specifically, we focus on the unequal US Federal Emergency Management Agency response to disasters in the territory, the lack of parity in federal Medicaid funding for Puerto Rico, and Puerto Rico's limited political power as a territory of the United States. We also provide empirically supported policy recommendations aimed at reducing health and health care inequities in the often-forgotten US territory of Puerto Rico. (Am J Public Health. 2024;114(S6):S478-S484. https://doi.org/10.2105/AJPH.2024.307585) [Formula: see text].

Earmarked Taxes for Mental Health Services in the United States: A Local and State Legal Mapping Study.

Policy Points Local governments are increasingly adopting policies that earmark taxes for mental health services, and approximately 30% of the US population lives in a jurisdiction with such a policy. Policies earmarking taxes for mental health services are heterogenous in their design, spending requirements, and oversight. In many jurisdictions, the annual per capita revenue generated by these taxes exceeds that of some major federal funding sources for mental health. CONTEXT: State and local governments have been adopting taxes that earmark (i.e., dedicate) revenue for mental health. However, this emergent financing model has not been systematically assessed. We sought to identify all jurisdictions in the United States with policies earmarking taxes for mental health services and characterize attributes of these taxes. METHODS: A legal mapping study was conducted. Literature reviews and 11 key informant interviews informed search strings. We then searched legal databases (HeinOnline, Cheetah tax repository) and municipal data sources. We collected information on the year the tax went into effect, passage by ballot initiative (yes/no), tax base, tax rate, and revenue generated annually (gross and per capita). FINDINGS: We identified 207 policies earmarking taxes for mental health services (95.7% local, 4.3% state, 95.7% passed via ballot initiative). Property taxes (73.9%) and sales taxes/fees (25.1%) were most common. There was substantial heterogeneity in tax design, spending requirements, and oversight. Approximately 30% of the US population lives in a jurisdiction with a tax earmarked for mental health, and these taxes generate over $3.57 billion annually. The median per capita annual revenue generated by these taxes was $18.59 (range = $0.04-$197.09). Per capita annual revenue exceeded $25.00 in 63 jurisdictions (about five times annual per capita spending for mental health provided by the US Substance Abuse and Mental Health Services Administration). CONCLUSIONS: Policies earmarking taxes for mental health services are diverse in design and are an increasingly common local financing strategy. The revenue generated by these taxes is substantial in many jurisdictions.

Implementation of the 988 Suicide & Crisis Lifeline: Estimating State-Level Increases in Call Demand Costs and Financing.

BACKGROUND: Per federal law, "988" became the new three-digit dialing code for the National Suicide & Crisis Lifeline on July 16, 2022 (previously reached by dialing "1-800-283-TALK"). AIMS OF THE STUDY: This study aimed to produce state-level estimates of: (i) annual increases in 988 Lifeline call volume following 988 implementation, (ii) the cost of these increases, and (iii) the extent to which state and federal funding earmarked for increases in 988 Lifeline call volume are sufficient to meet call demand. METHOD: A 50 state pre-post policy implementation design was used. State-level Lifeline call volume data were obtained. For each state, we calculated the absolute difference in number of Lifeline calls in the four-month periods between August-November 2021 (pre-988 implementation) and August-November 2022 (post-988 implementation), and also expressed this difference as percent change and rate per 100,000 population. The difference call volume was multiplied by a published estimate of the cost of a single 988 Lifeline call (USD 82), and then by multiplied by three to produce annual, 12-month state-level cost increase estimates. These figures were then divided by each state's population size to generate cost estimates per state resident. State-level information on the amount of state (FY 2023) and federal SAMHSA (FY 2022) funding earmarked for 988 Lifeline centers in response to 988 implementation were obtained from legal databases and government websites and expressed as dollars per state resident. State-level differences between per state resident estimates of increased cost and funding were calculated to assess the extent to which state and federal funding earmarked for increases in 988 Lifeline call volume were sufficient to meet call demand. RESULTS: 988 Lifeline call volume increased in all states post-988 implementation (within-state mean percent change = +32.8%, SD = +20.5%). The total estimated cost needed annually to accommodate increases in 988 Lifeline call volume nationally was approximately USD 46 million. The within-state mean estimate of additional cost per state resident was +USD 0.16 (SD = +USD 0.11). The additional annual cost per state resident exceeded USD 0.40 in three states, was between USD 0.40- USD 0.30 in three states, and between USD 0.30 - USD 0.20 in seven states. Twenty-two states earmarked FY 2023 appropriations for 988 Lifeline centers in response to 988 (within-state mean per state resident = USD 1.51, SD = USD 1.52) and 49 states received SAMHSA 988 capacity building grants (within-state mean per state resident = USD 0.36, SD = USD 0.39). State funding increases exceeded the estimated cost increases in about half of states. CONCLUSIONS: The Lifeline's transition to 988 increased 988 Lifeline call volume in all states, but the magnitude of the increase and associated cost was heterogenous across states. State funding earmarked for increases in 988 Lifeline center costs is sufficient in about half of states. Sustained federal funding, and/or increases in state funding, earmarked for 988 Lifeline centers is likely important to ensuring that 988 Lifeline centers have the capacity to meet call demand in the post-988 implementation environment.

An Examination of Factors Affecting State Legislators' Support for Parity Laws for Different Mental Illnesses.

Mental health parity legislation can improve mental health outcomes. U.S. state legislators determine whether state parity laws are adopted, making it critical to assess factors affecting policy support. This study examines the prevalence and demographic correlates of legislators' support for state parity laws for four mental illnesses- major depression disorder, post-traumatic stress disorder (PTSD), schizophrenia, and anorexia/bulimia. Using a 2017 cross-sectional survey of 475 U.S. legislators, we conducted bivariate analyses and multivariate logistic regression. Support for parity was highest for schizophrenia (57%), PTSD (55%), and major depression (53%) and lowest for anorexia/bulimia (40%). Support for parity was generally higher among females, more liberal legislators, legislators in the Northeast region of the country, and those who had previously sought treatment for mental illness. These findings highlight the importance of better disseminating evidence about anorexia/bulimia and can inform dissemination efforts about mental health parity laws to state legislators.

Heterogeneity in Disparities in Life Expectancy Across US Metropolitan Areas.

BACKGROUND: Life expectancy in the United States has declined since 2014 but characterization of disparities within and across metropolitan areas of the country is lacking. METHODS: Using census tract-level life expectancy from the 2010 to 2015 US Small-area Life Expectancy Estimates Project, we calculate 10 measures of total and income-based disparities in life expectancy at birth, age 25, and age 65 within and across 377 metropolitan statistical areas (MSAs) of the United States. RESULTS: We found wide heterogeneity in disparities in life expectancy at birth across MSAs and regions: MSAs in the West show the narrowest disparities (absolute disparity: 8.7 years, relative disparity: 1.1), while MSAs in the South (absolute disparity: 9.1 years, relative disparity: 1.1) and Midwest (absolute disparity: 9.8 years, relative disparity: 1.1) have the widest life expectancy disparities. We also observed greater variability in life expectancy across MSAs for lower income census tracts (coefficient of variation [CoV] 3.7 for first vs. tenth decile of income) than for higher income census tracts (CoV 2.3). Finally, we found that a series of MSA-level variables, including larger MSAs and greater proportion college graduates, predicted wider life expectancy disparities for all age groups. CONCLUSIONS: Sociodemographic and policy factors likely help explain variation in life expectancy disparities within and across metro areas.

State-Level Social and Economic Policies and Their Association With Perinatal and Infant Outcomes.

Policy Points State-level social and economic policies that expand tax credits, increase paid parental leave, raise the minimum wage, and increase tobacco taxes have been demonstrated to reduce adverse perinatal and infant health outcomes. These findings can help prioritize evidence-based legislated policies to improve perinatal and infant outcomes in the United States. CONTEXT: Rates of preterm birth and infant mortality are alarmingly high in the United States. Legislated efforts may directly or indirectly reduce adverse perinatal and infant outcomes through the enactment of certain economic and social policies. METHODS: We conducted a narrative review to summarize the associations between perinatal and infant outcomes and four state-level US policies. We then used a latent profile analysis to create a social and economic policy profile for each state based on the observed policy indicators. FINDINGS: Of 27 articles identified, nine focused on tax credits, eight on paid parental leave, four on minimum wages, and six on tobacco taxes. In all but three studies, these policies were associated with improved perinatal or infant outcomes. Thirty-three states had tax credit laws, most commonly the earned income tax credit (n = 28, 56%). Eighteen states had parental leave laws. Two states had minimum wage laws lower than the federal minimum; 14 were equal to the federal minimum; 29 were above the federal minimum; and 5 did not have a state law. The average state tobacco tax was $1.76 (standard deviation = $1.08). The latent profile analysis revealed three policy profiles, with the most expansive policies in Western and Northeastern US states, and the least expansive policies in the US South. CONCLUSIONS: State-level social and economic policies have the potential to reduce adverse perinatal and infant health outcomes in the United States. Those states with the least expansive policies should therefore consider enacting these evidence-based policies, as they have shown a demonstratable benefit in other states.

Selecting evidence to frame the consequences of adverse childhood experiences: testing effects on public support for policy action, multi-sector responsibility, and stigma.

While clinical and public health researchers have produced a high volume of research evidence about the consequences of ACEs, there is limited research on public understanding of ACEs or how to most effectively communicate about this body of science. The objective of this study was to determine which messages describing evidence about the consequences of adverse childhood experiences (ACEs) affect public perceptions. We conducted an online experiment with a nationally-representative sample of U.S. adults in July-August 2020. Participants were randomized to control groups receiving messages describing ACE prevalence or resilience, or treatment groups receiving messages describing consequences of ACEs on mental health and substance use, economics, racial equity, or biology. We compared respondents' perceptions of prevention policies and likelihood of policy engagement, attributions of multi-sector responsibility, and blame and stigma across experimental groups. Messages about economic consequences increased respondents' support for policy and attributions of multi-sector responsibility relative to control groups, while also increasing parental blame. The message describing racial equity lowered respondents' perceptions of importance of state policy action and attributions of responsibility to health care. None of the messages affected stigmatizing attitudes. Describing the economic consequences of ACEs on public systems boosts public support for policy action. More research is needed on how the public responds to messaging connecting systemic racism with childhood adversity and health.

Scaling Interventions to Manage Chronic Disease: Innovative Methods at the Intersection of Health Policy Research and Implementation Science.

Policy implementation is a key component of scaling effective chronic disease prevention and management interventions. Policy can support scale-up by mandating or incentivizing intervention adoption, but enacting a policy is only the first step. Fully implementing a policy designed to facilitate implementation of health interventions often requires a range of accompanying implementation structures, like health IT systems, and implementation strategies, like training. Decision makers need to know what policies can support intervention adoption and how to implement those policies, but to date research on policy implementation is limited and innovative methodological approaches are needed. In December 2021, the Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness and the Johns Hopkins Center for Mental Health and Addiction Policy convened a forum of research experts to discuss approaches for studying policy implementation. In this report, we summarize the ideas that came out of the forum. First, we describe a motivating example focused on an Affordable Care Act Medicaid health home waiver policy used by some US states to support scale-up of an evidence-based integrated care model shown in clinical trials to improve cardiovascular care for people with serious mental illness. Second, we define key policy implementation components including structures, strategies, and outcomes. Third, we provide an overview of descriptive, predictive and associational, and causal approaches that can be used to study policy implementation. We conclude with discussion of priorities for methodological innovations in policy implementation research, with three key areas identified by forum experts: effect modification methods for making causal inferences about how policies' effects on outcomes vary based on implementation structures/strategies; causal mediation approaches for studying policy implementation mechanisms; and characterizing uncertainty in systems science models. We conclude with discussion of overarching methods considerations for studying policy implementation, including measurement of policy implementation, strategies for studying the role of context in policy implementation, and the importance of considering when establishing causality is the goal of policy implementation research.

State Policies that Impact the Design of Children's Mental Health Services: A Modified Delphi Study.

To identify the state-level policies and policy domains that state policymakers and advocates perceive as most important for positively impacting the use of children's mental health services (CMHS). We used a modified Delphi technique (i.e., two rounds of questionnaires and an interview) during Spring 2021 to elicit perceptions among state mental health agency officials and advocates (n = 28) from twelve states on state policies that impact the use of CMHS. Participants rated a list of pre-specified policies on a 7-point Likert scale (1 = not important, 7 = extremely important) in the following policy domains: insurance coverage and limits, mental health services, school and social. Participants added nine policies to the initial list of 24 policies. The "school" policy domain was perceived as the most important, while the "social" policy domain was perceived as the least important after the first questionnaire and the second most important policy domain after the second questionnaire. The individual policies perceived as most important were school-based mental health services, state mental health parity, and Medicaid reimbursement rates. Key stakeholders in CMHS should leverage this group of policies to understand the current policy landscape in their state and to identify gaps in policy domains and potential policy opportunities to create a more comprehensive system to address children's mental health from a holistic, evidence-based policymaking perspective.

State Legislators' Divergent Social Media Response to the Opioid Epidemic from 2014 to 2019: Longitudinal Topic Modeling Analysis.

BACKGROUND: The opioid epidemic is widely recognized as a legislative priority, but there is substantial variation in state adoption of evidence-based policy. State legislators' use of social media to disseminate information and to indicate support for specific initiatives continues to grow and may reflect legislators' openness to opioid-related policy change. OBJECTIVE: We sought to identify changes in the national dialogue regarding the opioid epidemic among Democratic and Republican state legislators and to estimate changing partisanship around understanding and addressing the epidemic over time. DESIGN: Longitudinal natural language processing analysis. PARTICIPANTS: A total of 4083 US state legislators in office between 2014 and 2019 with any opioid-related social media posts. MAIN MEASURES: Association between opioid-related post volume and state overdose mortality, as measured by Kendall's rank correlation coefficient. Latent Dirichlet allocation analysis of all social media posts to identify key opioid-related topics. Longitudinal analysis of differences in the prevalence of key topics among Democrats and Republicans over time. KEY RESULTS: In total, 43,558 social media posts met inclusion criteria, with the vast majority to Twitter (n=28,564; 65.6%) or Facebook (n=14,283; 32.8%). Posts were more likely to mention fentanyl and less likely to mention heroin over time. The volume of opioid-related content was positively associated with state-level unintentional overdose mortality among both Democrats (tau=0.42, P<.001) and Republicans (tau=0.39, P<.001). Democrats' social media content has increasingly spoken to holding pharmaceutical companies accountable, while Republicans' social media content has increasingly spoken to curbing illicit drug trade. Overall, partisanship across topics increased from 2016 to 2019. CONCLUSION: The volume of opioid-related social media posts by US state legislators between 2014 and 2019 is associated with state-level overdose mortality, but the content across parties is significantly different. Democrats' and Republicans' social media posts may reflect growing partisanship regarding how best to address the overdose epidemic.

Linking Data on Constituent Health with Elected Officials' Opinions: Associations Between Urban Health Disparities and Mayoral Officials' Beliefs About Health Disparities in Their Cities.

Policy Points Mayoral officials' opinions about the existence and fairness of health disparities in their city are positively associated with the magnitude of income-based life expectancy disparity in their city. Associations between mayoral officials' opinions about health disparities in their city and the magnitude of life expectancy disparity in their city are not moderated by the social or fiscal ideology of mayoral officials or the ideology of their constituents. Highly visible and publicized information about mortality disparities, such as that related to COVID-19 disparities, has potential to elevate elected officials' perceptions of the severity of health disparities and influence their opinions about the issue. CONTEXT: A substantive body of research has explored what factors influence elected officials' opinions about health issues. However, no studies have assessed the potential influence of the health of an elected official's constituents. We assessed whether the magnitude of income-based life expectancy disparity within a city was associated with the opinions of that city's mayoral official (i.e., mayor or deputy mayor) about health disparities in their city. METHODS: The independent variable was the magnitude of income-based life expectancy disparity in US cities. The magnitude was determined by linking 2010-2015 estimates of life expectancy and median household income for 8,434 census tracts in 224 cities. The dependent variables were mayoral officials' opinions from a 2016 survey about the existence and fairness of health disparities in their city (n = 224, response rate 30.3%). Multivariable logistic regression was used to adjust for characteristics of mayoral officials (e.g., ideology) and city characteristics. FINDINGS: In cities in the highest income-based life expectancy disparity quartile, 50.0% of mayoral officials "strongly agreed" that health disparities existed and 52.7% believed health disparities were "very unfair." In comparison, among mayoral officials in cities in the lowest disparity quartile 33.9% "strongly agreed" that health disparities existed and 22.2% believed the disparities were "very unfair." A 1-year-larger income-based life expectancy disparity in a city was associated with 25% higher odds that the city's mayoral official would "strongly agree" that health disparities existed (odds ratio [OR] = 1.25; P = .04) and twice the odds that the city's mayoral official would believe that such disparities were "very unfair" (OR = 2.24; P <.001). CONCLUSIONS: Mayoral officials' opinions about health disparities in their jurisdictions are generally aligned with, and potentially influenced by, information about the magnitude of income-based life expectancy disparities among their constituents.

Partisan Differences in Twitter Language Among US Legislators During the COVID-19 Pandemic: Cross-sectional Study.

BACKGROUND: As policy makers continue to shape the national and local responses to the COVID-19 pandemic, the information they choose to share and how they frame their content provide key insights into the public and health care systems. OBJECTIVE: We examined the language used by the members of the US House and Senate during the first 10 months of the COVID-19 pandemic and measured content and sentiment based on the tweets that they shared. METHODS: We used Quorum (Quorum Analytics Inc) to access more than 300,000 tweets posted by US legislators from January 1 to October 10, 2020. We used differential language analyses to compare the content and sentiment of tweets posted by legislators based on their party affiliation. RESULTS: We found that health care-related themes in Democratic legislators' tweets focused on racial disparities in care (odds ratio [OR] 2.24, 95% CI 2.22-2.27; P<.001), health care and insurance (OR 1.74, 95% CI 1.7-1.77; P<.001), COVID-19 testing (OR 1.15, 95% CI 1.12-1.19; P<.001), and public health guidelines (OR 1.25, 95% CI 1.22-1.29; P<.001). The dominant themes in the Republican legislators' discourse included vaccine development (OR 1.51, 95% CI 1.47-1.55; P<.001) and hospital resources and equipment (OR 1.22, 95% CI 1.18-1.25). Nonhealth care-related topics associated with a Democratic affiliation included protections for essential workers (OR 1.55, 95% CI 1.52-1.59), the 2020 election and voting (OR 1.31, 95% CI 1.27-1.35), unemployment and housing (OR 1.27, 95% CI 1.24-1.31), crime and racism (OR 1.22, 95% CI 1.18-1.26), public town halls (OR 1.2, 95% CI 1.16-1.23), the Trump Administration (OR 1.22, 95% CI 1.19-1.26), immigration (OR 1.16, 95% CI 1.12-1.19), and the loss of life (OR 1.38, 95% CI 1.35-1.42). The themes associated with the Republican affiliation included China (OR 1.89, 95% CI 1.85-1.92), small business assistance (OR 1.27, 95% CI 1.23-1.3), congressional relief bills (OR 1.23, 95% CI 1.2-1.27), press briefings (OR 1.22, 95% CI 1.19-1.26), and economic recovery (OR 1.2, 95% CI 1.16-1.23). CONCLUSIONS: Divergent language use on social media corresponds to the partisan divide in the first several months of the course of the COVID-19 public health crisis.

Population-Based Approaches to Mental Health: History, Strategies, and Evidence.

There is growing recognition in the fields of public health and mental health services research that the provision of clinical services to individuals is not a viable approach to meeting the mental health needs of a population. Despite enthusiasm for the notion of population-based approaches to mental health, concrete guidance about what such approaches entail is lacking, and evidence of their effectiveness has not been integrated. Drawing from research and scholarship across multiple disciplines, this review provides a concrete definition of population-based approaches to mental health, situates these approaches within their historical context in the United States, and summarizes the nature of these approaches and their evidence. These approaches span three domains: (a) social, economic, and environmental policy interventions that can be implemented by legislators and public agency directors, (b) public health practice interventions that can be implemented by public health department officials, and (c) health care system interventions that can be implemented by hospital and health care system leaders.

Quantifying the Restrictiveness of Local Housing Authority Policies Toward People With Criminal Justice Histories: United States, 2009-2018.

Objectives. To quantify variation in the restrictiveness of local public housing authority policies related to the admission and eviction of people with criminal justice histories.Methods. We conducted content analysis of housing authority policy documents for US cities with a population of 100 000 or more (n = 152). Factor analysis identified policy provisions to create a restrictiveness score (range = 0-8). We explored associations between restrictiveness scores and city-level measures of racial/ethnic diversity, racial/ethnic neighborhood segregation, ideology, and public housing scarcity.Results. Eight policy provisions, 6 relating to consideration of mitigating circumstances, explained 71.0% of the variance in housing authority policy provisions related to criminal justice histories. We observed small but significant positive associations between restrictiveness scores and racial/ethnic diversity (r = 0.22) and neighborhood segregation (r = 0.18). There was no correlation between restrictiveness scores of housing authorities within the same state (intraclass correlation = 0.0002).Conclusions. Housing authority policies vary substantially regarding the circumstances under which people with criminal justice histories can obtain and retain public housing. Exposure to constellations of policy provisions that might institutionalize health inequities and increase health risk among people with criminal justice histories can be quantified through a systematic process.

Mental illness and bipolar disorder on Twitter: implications for stigma and social support.

Background: Mental illness (MI), and particularly, bipolar disorder (BD), are highly stigmatized. However, it is unknown if this stigma is also represented on social media.Aims: Characterize Twitter-based stigma and social support messaging ("tweets") about mental health/illness (MH)/MI and BD and determine which tweets garnered retweets.Methods: We collected tweets about MH/MI and BD during a three-month period and analyzed tweets from dates with the most tweets ("spikes"), an indicator of topic interest. A sample was manually content analyzed, and the remainder were classified using machine learning (logistic regression) by topic, stigma, and social support messaging. We compared stigma and support toward MH/MI versus BD and used logistic regression to quantify tweet features associated with retweets, to assess tweet reach.Results: Of the 1,270,902 tweets analyzed, 94.7% discussed MH/MI and 5.3% discussed BD. Spikes coincided with a celebrity's death and a MH awareness campaign. Although the sample contained more support than stigma messaging, BD tweets contained more stigma and less support than MH/MI tweets. However, stigma messaging was infrequently retweeted, and users often retweeted personal MH experiences.Conclusions: These findings demonstrate opportunities for social media advocacy to reduce stigma and increase displays of social support towards people living with BD.

State Legislators' Support for Behavioral Health Parity Laws: The Influence of Mutable and Fixed Factors at Multiple Levels.

Policy Points When communicating with state legislators, advocates for state behavioral health parity laws should emphasize that the laws do not increase insurance premiums. Legislators' opinions about the impacts of state behavioral health parity laws and the effectiveness of behavioral health treatment have more influence on support for the laws than do their political party affiliation or state-level contextual factors. Reducing legislators' stigma toward people with mental illness could increase their support for state behavioral health parity laws CONTEXT: Comprehensive state behavioral health parity legislation (C-SBHPL) is an evidence-based policy that improves access and adherence to behavioral health treatments. However, adoption of C-SBHPL by state legislators is low. Little is known about how C-SBHPL evidence might be most effectively disseminated to legislators or how legislators' fixed characteristics (eg, ideology), mutable characteristics (eg, beliefs about the policy's impact), and state-level contextual factors might influence their support for behavioral health policies. The purpose of our study is (1) to describe the associations between legislators' fixed and mutable characteristics, state-level contextual factors, and support for C-SBHPL; and (2) to identify the mutable characteristics of legislators independently associated with C-SBHPL support. METHODS: We conducted a multimodal (post mail, email, telephone) survey of US state legislators in 2017 (N = 475). The dependent variable was strong support for C-SBHPL, and the independent variables included legislators' fixed and mutable characteristics and state-level contextual factors. We conducted multivariable, multilevel (legislator, state) logistic regression. FINDINGS: Thirty-nine percent of the legislators strongly supported C-SBHPL. After adjustment, the strongest predictors of C-SBHPL support were beliefs that C-SBHPL increases access to behavioral health treatments (aOR = 5.85; 95% CI = 2.41, 14.20) and does not increase insurance premiums (aOR = 2.70; 95% CI = 1.24, 5.90). Stigma toward people with mental illness was inversely associated with support (aOR = 0.86; 95% CI = 0.78, 0.95). After adjustment, ideology was the only fixed characteristic significantly associated with support for C-SBHPL. State-level contextual factors did not moderate associations between mutable characteristics and support for C-SBHPL. CONCLUSIONS: Legislators' mutable characteristics are stronger predictors of C-SBHPL support than are most of their fixed characteristics and all state-level contextual factors, and thus should be targeted by dissemination efforts.

Trends and Characteristics of Proposed and Enacted State Legislation on Childhood Vaccination Exemption, 2011-2017.

Objectives. To examine trends and characteristics of proposed and enacted state legislation that would directly affect states' immunization exemption laws.Methods. We performed content analysis of proposed bills in state legislatures from 2011 to 2017. We classified bills as provaccination or antivaccination.Results. State legislators proposed 175 bills, with the volume increasing over time: 92 (53%) bills expanded access to exemptions, and 83 (47%) limited the ability to exempt. Of the 13 bills signed into law, 12 (92%) limited the ability to exempt. Bills that expanded access to exemptions were more likely to come from Republican legislators and Northeastern and Southern states.Conclusions. Although most proposed legislation would have expanded access to exemptions, bills that limited exemptions were more likely to be enacted into law. Legal barriers to exempt one's children from vaccination persist despite vaccine hesitancy, which is encouraging for public health.Public Health Implications. Most vaccine exemption laws introduced in state legislatures would pose threats to the public's health. There is a need for constituents to engage their elected legislators and advocate provaccination policies.

Depression and alcohol misuse among older adults: exploring mechanisms and policy impacts using agent-based modelling.

PURPOSE: To: (1) explore how multi-level factors impact the longitudinal prevalence of depression and alcohol misuse among urban older adults (≥ 65 years), and (2) simulate the impact of alcohol taxation policies and targeted interventions that increase social connectedness among excessive drinkers, socially isolated and depressed older adults; both alone and in combination. METHODS: An agent-based model was developed to explore the temporal co-evolution of depression and alcohol misuse prevalence among older adults nested in a spatial network. The model was based on Los Angeles and calibrated longitudinally using data from the Multi-Ethnic Study of Atherosclerosis. RESULTS: Interventions with a social component targeting depressed and socially isolated older adults appeared more effective in curbing depression prevalence than those focused on excessive drinkers. Targeting had similar impacts on alcohol misuse, though the effects were marginal compared to those on depression. Alcohol taxation alone had little impact on either depression or alcohol misuse trajectories. CONCLUSIONS: Interventions that improve social connectedness may reduce the prevalence of depression among older adults. Targeting considerations could play an important role in determining the success of such efforts.