Considering multiple governance levels in epidemiologic analysis of public policies

ICE Detainer Requests Were Associated With Lower Medicaid And SNAP Enrollment Among Eligible Adults, 2011-19

Legislative policies that criminalize immigrants have a "chilling effect" on public program participation among eligible immigrants. However, little is known about the effect of local enforcement actions by Immigration and Customs Enforcement (ICE). In this study, we linked county-level data on the number of detainer requests (or immigration holds) issued by ICE to individual-level data from the 2011, 2016, and 2019 American Community Surveys. We fit adjusted logistic regression models to assess the association between detainer requests and enrollment in Medicaid and the Supplemental Nutrition Assistance Program (SNAP) among those likely eligible for each program in US-born versus immigrant households. A higher volume of detainer requests was associated with lower enrollment in both Medicaid and SNAP, particularly among adults in households with at least one immigrant relative to US-born households. We observed the most pronounced effects in 2011 and 2019.

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.

Structural Racism-Related State Laws and Healthcare Access Among Black, Latine, and White U.S. Adults

Racialized healthcare inequities in the USA remain glaring, yet root causes are understudied. To address this gap, we created a state-level structural racism legal index (SRLI) using the Structural Racism-Related State Law Database and analyzed its association with racialized inequities in four outcomes (lacking health insurance coverage, lacking a personal doctor, avoiding care due to cost, lacking a routine check-up) from the 2013 Behavioral Risk Factor Surveillance System (N = 454,834). To obtain predicted probabilities by SRLI quartiles (Q1 = less structural racism, Q4 = more structural racism) and racialized group, we fit survey-weighted multilevel logistic models adjusted for individual- and state-level covariates. We found substantial healthcare access inequities across racialized groups within SRLI quartiles and less pronounced, but still meaningful, inequities within racialized groups across SRLI quartiles. For example, the predicted probabilities of lacking health insurance coverage across SRLI quartiles ranged from 13 to 20% among Black adults, 31 to 41% among Latine adults, and 8 to 11% among White adults. Across racialized groups in Q4 states, predicted probabilities ranged from 11% among White adults to 41% among Latine adults. Similar patterns were observed for lacking a personal doctor and avoiding care due to cost. Findings underscore the need to address structural racism in laws and policies to mitigate these inequities.

Impact of county and state immigration policies on immigrant household enrollment in the supplemental nutrition assistance program

Introduction

Low-income immigrants who are eligible to participate in the Supplemental Nutrition Assistance Program (SNAP) participate at lower rates compared to non-immigrants. Immigrant households may be more likely to participate in SNAP if they live in areas with policies that integrate them into society and protect them from deportation.

Methods

Data on low-income immigrant households came from the 2019 American Community Survey (N = 87,678). The outcome was whether any household member received SNAP in the previous 12 months. Immigrant policy exposures came from two sources: the State Immigration Policy Resource, which includes 18 immigrant criminalizing and integrating policies, and a database that identified 'sanctuary policies' (SP), which we summarized at the county level. Multivariable logistic regression adjusted for person/household-level and area-level confounders.

Results

Living in a jurisdiction with a SP was associated with 21% higher odds of enrolling in SNAP compared to living in a jurisdiction without a SP (adjusted odds ratio [aOR] 1.21, 95% CI=1.11,1.31). Relative to the least immigrant friendly states, living in the most immigrant-friendly states was associated with 16% higher odds of SNAP enrollment (aOR=1.16, 95%CI=1.06-1.28). When SP and state-level immigrant friendly policy environment were cross-classified, SNAP participation was 23% and 26% higher for those living in jurisdictions with one- and both- exposures, respectively, relative to those with neither (aOR 1.23; CI 1.12,1.36; aOR 1.26; CI 1.15,1.37).

Conclusions

Many at high risk of food insecurity - including immigrants and citizens in households with immigrants - are eligible for SNAP but under-enroll. Policies that welcome and safeguard immigrants could reduce under enrollment.

Quantitative approaches to measuring structural cisgenderism

There is rapidly growing interest in understanding the impacts of structural cisgenderism on health and health inequities for transgender and nonbinary populations. This growing interest has led to an influx of novel measures of structural cisgenderism. In this commentary, we discuss and identify gaps in existing measures and offer considerations for the development of future measures. Developing and utilizing valid measures of structural cisgenderism is crucial to quantify its impacts on health and health inequities, and to inform public health interventions, laws, and policies to eliminate gender identity and modality-based health inequities.

Four very basic ways to think about policy in implementation science

BACKGROUND

Policy is receiving increasing attention in the field of implementation science. However, there remains a lack of clear, concise guidance about how policy can be conceptualized in implementation science research. Building on Curran's article "Implementation science made too simple"-which defines "the thing" as the intervention, practice, or innovation in need of implementation support-we offer a typology of four very basic ways to conceptualize policy in implementation science research. We provide examples of studies that have conceptualized policy in these different ways and connect aspects of the typology to established frameworks in the field. The typology simplifies and refines related typologies in the field. Four very basic ways to think about policy in implementation science research. 1) Policy as something to adopt: an evidence-supported policy proposal is conceptualized as "the thing" and the goal of research is to understand how policymaking processes can be modified to increase adoption, and thus reach, of the evidence-supported policy. Policy-focused dissemination research is well-suited to achieve this goal. 2) Policy as something to implement: a policy, evidence-supported or not, is conceptualized as "the thing" and the goal of research is to generate knowledge about how policy rollout (or policy de-implementation) can be optimized to maximize benefits for population health and health equity. Policy-focused implementation research is well-suited to achieve this goal. 3) Policy as context to understand: an evidence-supported intervention is "the thing" and policies are conceptualized as a fixed determinant of implementation outcomes. The goal of research is to understand the mechanisms through which policies affect implementation of the evidence-supported intervention. 4) Policy as strategy to use: an evidence-supported intervention is "the thing" and policy is conceptualized as a strategy to affect implementation outcomes. The goal of research is to understand, and ideally test, how policy strategies affect implementation outcomes related to the evidence-supported intervention.

CONCLUSION

Policy can be conceptualized in multiple, non-mutually exclusive ways in implementation science. Clear conceptualizations of these distinctions are important to advancing the field of policy-focused implementation science and promoting the integration of policy into the field more broadly.

County- and state-level immigration policies are associated with Supplemental Nutrition Assistance Program (SNAP) participation among Latino households

The purpose of this study was to investigate the association between county- and state-level immigrant criminalizing and integrating policies and Latino household participation in the largest safety net program against food insecurity in the U.S., the Supplemental Nutrition Assistance Program (SNAP). Our outcome, county-level proportion of SNAP-participating Latino households, and county-level covariates were obtained from the American Community Survey 1-year county files (N = 675 counties) for 13 years (2007-2019). Our exposures were county-level presence of sanctuary policies and a state-level immigrant friendliness score, created based on 19 immigrant criminalizing and integrating state-level policies obtained from the Urban Institute's State Immigration Policies Resource. We classified every county in the sample as 1) sanctuary policy + immigrant friendly state, 2) sanctuary policy + immigrant unfriendly state, 3) no sanctuary policy + immigrant friendly state, and 4) no sanctuary policy + immigrant unfriendly state. Using multivariable generalized linear models that adjusted for poverty levels and other social composition characteristics of counties, we found that county-level SNAP participation among Latino households was 1.1 percentage-point higher in counties with sanctuary policies (B = 1.12, 95%CI = 0.26-1.98), compared to counties with no sanctuary policies, and 1.6 percentage-point higher in counties with sanctuary policies in immigrant friendly states (B = 1.59, 95%CI = 0.33-2.84), compared to counties with no sanctuary policy in immigrant unfriendly states. Local and state immigration policy, even when unrelated to SNAP eligibility, may influence SNAP participation among Latino households. Jurisdictions which lack sanctuary policies or have more criminalizing and less integrating policies should consider adopting targeted outreach strategies to increase SNAP enrollment among Latino households.

Local implementation of public health policies revealed by the COVID-19 crisis: the French case

BACKGROUND

Improving health system performance depends on the quality of health policy implementation at the local level. However, in general, the attention of researchers is mainly directed towards issues of health policy design and evaluation rather than implementation at the local level. The management of the COVID-19 crisis, especially in Europe, has particularly highlighted the complexity of implementing health policies, decided at the national or supranational level, at the local level.

METHODS

We conducted 23 semi-structured interviews with the main stakeholders in the management of the COVID-19 crisis in the second largest French region in order to identify the different actors and modes of coordination of the local implementation of health policies that this crisis management illustrates in a very visible way. Our methodology is complemented by a content analysis of the main guidelines and decisions related to this implementation.

RESULTS

The analysis of these data allows us to identify three levels of implementation of health policies at the local level (administrative, organizational and operational). Interviews also reveal the existence of different types of coordination specific to each of these levels of local implementation of health policies. These results then make it possible to identify important managerial avenues for promoting global coordination of these three levels of implementation.

CONCLUSIONS

Although research on health services emphasizes the existence of several levels of local implementation of health policies, it offers little in the way of definition or characterization of these levels. The identification in this study of the three levels of local implementation of health policies and their specific forms of coordination contribute to a more precise characterization of this implementation in order to promote, in practice, its global coordination.

Invited Commentary: Some Social Epidemiologic Lessons From the COVID-19 Pandemic

In their recent article, Dimitris et al. (Am J Epidemiol. 2022;191(6):980-986) presented a series of challenges modern epidemiology has faced during the coronavirus disease 2019 (COVID-19) pandemic, including challenges around the scientific progress, epidemiologic methods, interventions, equity, team science, and training needed to address these issues. Here, 2 social epidemiologists who have been working on COVID-19 inequities reflect on further lessons with an added year of perspective. We focus on 2 key challenges: 1) dominant biomedical individualistic narratives around the production of population health, and 2) the role of profit in policy-making. We articulate a need to consider social epidemiologic approaches, including acknowledging the importance of considering how societal systems lead to health inequities. To address these challenges, future (and current) epidemiologists should be trained in theories of population health distribution and political structures of governance. Last, we close with the need for better investment in public health infrastructure as a crucial step toward achieving population health equity.

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.

Quantitative measures used in empirical evaluations of mental health policy implementation: A systematic review

Background

Mental health is a critical component of wellness. Public policies present an opportunity for large-scale mental health impact, but policy implementation is complex and can vary significantly across contexts, making it crucial to evaluate implementation. The objective of this study was to (1) identify quantitative measurement tools used to evaluate the implementation of public mental health policies; (2) describe implementation determinants and outcomes assessed in the measures; and (3) assess the pragmatic and psychometric quality of identified measures.

Method

Guided by the Consolidated Framework for Implementation Research, Policy Implementation Determinants Framework, and Implementation Outcomes Framework, we conducted a systematic review of peer-reviewed journal articles published in 1995-2020. Data extracted included study characteristics, measure development and testing, implementation determinants and outcomes, and measure quality using the Psychometric and Pragmatic Evidence Rating Scale.

Results

We identified 34 tools from 25 articles, which were designed for mental health policies or used to evaluate constructs that impact implementation. Many measures lacked information regarding measurement development and testing. The most assessed implementation determinants were readiness for implementation, which encompassed training (n  =  20, 57%) and other resources (n  =  12, 34%), actor relationships/networks (n  =  15, 43%), and organizational culture and climate (n  =  11, 31%). Fidelity was the most prevalent implementation outcome (n  =  9, 26%), followed by penetration (n  =  8, 23%) and acceptability (n  =  7, 20%). Apart from internal consistency and sample norms, psychometric properties were frequently unreported. Most measures were accessible and brief, though minimal information was provided regarding interpreting scores, handling missing data, or training needed to administer tools.

Conclusions

This work contributes to the nascent field of policy-focused implementation science by providing an overview of existing measurement tools used to evaluate mental health policy implementation and recommendations for measure development and refinement. To advance this field, more valid, reliable, and pragmatic measures are needed to evaluate policy implementation and close the policy-to-practice gap.

Plain Language Summary

Mental health is a critical component of wellness, and public policies present an opportunity to improve mental health on a large scale. Policy implementation is complex because it involves action by multiple entities at several levels of society. Policy implementation is also challenging because it can be impacted by many factors, such as political will, stakeholder relationships, and resources available for implementation. Because of these factors, implementation can vary between locations, such as states or countries. It is crucial to evaluate policy implementation, thus we conducted a systematic review to identify and evaluate the quality of measurement tools used in mental health policy implementation studies. Our search and screening procedures resulted in 34 measurement tools. We rated their quality to determine if these tools were practical to use and would yield consistent (i.e., reliable) and accurate (i.e., valid) data. These tools most frequently assessed whether implementing organizations complied with policy mandates and whether organizations had the training and other resources required to implement a policy. Though many were relatively brief and available at little-to-no cost, these findings highlight that more reliable, valid, and practical measurement tools are needed to assess and inform mental health policy implementation. Findings from this review can guide future efforts to select or develop policy implementation measures.