Identifying Policy Levers And Opportunities For Action Across States To Achieve Health Equity

Understanding the roles of state demographics and state policies in epidemiologic studies of maternal-child health disparities

Disparities in maternal-child health outcomes by race and ethnicity highlight structural differences in the opportunity for optimal health in the United States. Examples of these differences include access to state-level social policies that promote maternal-child health. States vary in their racial and ethnic composition as a result of the complex history of policies and laws related to slavery, Indigenous genocide and relocation, segregation, immigration, and settlement in the United States. States also vary in the social policies they enact. As a result, correlations exist between the demographic makeup of a state's population and the presence or absence of social policies in that state. These correlations become a mechanism by which racial and ethnic disparities in maternal-child health outcomes can operate. In this commentary, we use the example of 3 labor-related policies actively under consideration at state and federal levels (paid parental leave, paid sick leave, and reasonable accommodations during pregnancy) to demonstrate how correlations between state demographics and presence of these state policies could cause or exacerbate racial and ethnic disparities in maternal-child health outcomes. We conclude with a call for researchers to consider how the geographic distribution of racialized populations and state policies could contribute to maternal-child health disparities.

Association of cigarette excise taxes and clean indoor air laws with change in smoking behavior in the United States: a Markov modeling analysis

The rates of cigarette smoking in the United States have declined over the past few decades in parallel with increases in cigarette taxes and introduction of more stringent clean indoor air laws. Few longitudinal studies have examined association of taxes and clean indoor air policies with change in smoking nationally. This study examined the association of state and local cigarette taxes and clean indoor laws with change in smoking status of 18,499 adult participants of the longitudinal 2010-2011 Tobacco Use Supplement of the Current Population Survey over a period of 1 year. Every $1 increase in cigarette excise taxes was associated with 36% higher likelihood of stopping smoking among regular smokers. We found no association between clean indoor air laws and smoking cessation nor between taxes and clean indoor air laws with lower risk of smoking initiation. Cigarette taxes appear to be effective anti-smoking policies. Some state and local governments do not take full advantage of this effective policy measure.

Exploring how health equity is addressed in accountable communities of/for health (ACHs)

OBJECTIVE

To explore how Accountable Communities of/for Health (ACHs), a type of health-focused multisector collaborative, are developing strategies to address health equity with diverse partners.

DATA SOURCES AND STUDY SETTING

Interview and focus group participants were recruited from a purposive sample of 22 ACH participant organizations in Washington (n = 9 ACHs) and California (n = 13 ACH).

STUDY DESIGN

Interview and focus group data were thematized using constant comparison analysis.

DATA COLLECTION

Interviews were conducted to learn how each ACH's system context, collaboration processes, and goals influence its progress toward health equity. Focus groups were conducted to gain a deeper understanding of how local context and power dynamics influence an ACH's ability to make progress toward health equity. There were 22 focus group participants and 65 interview participants.

PRINCIPAL FINDINGS

Results indicate that ACHs advance health equity across the social-ecological spectrum of health with approaches targeting the individual, community, and societal levels. Specific approaches used by ACHs to collaboratively address health equity include providing equity education to participating organizations and community groups; including diverse community voices in collaborative decision-making; changing practices in their participant's daily operations; improving existing services and developing new services; and actively promoting a culture of keeping equity at the center of ACH efforts.

CONCLUSIONS

This study identifies strategies for advancing health equity in multisector collaboratives. ACHs in Washington and California are devoting resources to ensure health equity is central to their work. The numerous approaches ACHs use to advance health equity are important to ensure everyone can reach their full health potential. While current literature argues that multisector health initiatives are integral for advancing health equity, there is a lack of research on how these initiatives advance equity in practice. Thus, this paper provides generalizable strategies that can be further investigated to optimize progress toward health equity.

Characterizing the Landscape of Safety Net Programs and Policies in California during the COVID-19 Pandemic

The COVID-19 pandemic prompted rapid and innovative policymaking around the world at the national, regional, and local levels. There has been limited work to systematically document and characterize new and expanded local U.S. pandemic-era policies, which is imperative to better understand the policy variation and resulting health impacts during this unprecedented time. California, the most populous U.S. state, provides a case example of a particularly active policy response. The aim of this Brief Report is to summarize the creation and potential areas of application of a newly created publicly available California- and US-based COVID-19 policy database. We generated an extensive list of California and US policies that were modified or created in response to the COVID-19 pandemic. From July-November 2021, we searched current and historical California and federal government websites, press releases, social media, and news sources and recorded detailed information on these policies, including coverage dates, eligibility criteria, and benefit amounts. This comprehensive dataset includes 39 public health, economic, housing, and safety net programs and policies implemented at both federal and state levels and provides details of the complex and multifaceted policy landscape in California from March 2020 to November 2021. Our database is publicly available. Future investigators can leverage the information systematically recorded in this database to rigorously assess the short- and long-term effects of these policies, which will in turn inform future preparedness response plans in California and beyond.

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.

Policy Implementation Science to Advance Population Health: The Potential for Learning Health Policy Systems

Many health policies are designed with the intention of improving health outcomes for all. Yet implementation of policies are variable across contexts, potentially limiting its impact on population health outcomes. The potential impact of a policy to advance health equity depends both on the design and its implementation, requiring ongoing evaluation and stakeholder engagement. Despite the importance of health policies in shaping public health, health care policy implementation science remains underrepresented in research. We argue that enhanced integration of policy questions within implementation science could reduce the time lag from policy to practice and improve population health outcomes to build a body of evidence on effective policy implementation. In this commentary, we argue that approaches to studying policy implementation science should reflect the dynamic and evolving policy context, analogous to the “learning healthcare system,” to better understand and respond to systematic and multilevel impacts of policy. Several example opportunities for a learning health policy system are posed in building a broader agenda toward research and practice in policy implementation science in public health.

Statewide Evaluation of Washington's State Innovation Model Initiative: A Mixed-Methods Approach

The Washington State Innovation Model (SIM) $65 million Test Award from the Center for Medicare and Medicaid Innovation is a statewide intervention expected to improve population health, quality of care, and cost growth through 4 initiatives in 2016-2018: (1) regional accountable communities of health linking health and social services to address local needs; (2) a practice transformation support hub; (3) four value-based payment reform pilot projects mainly in state employee and Medicaid populations; and (4) data and analytic infrastructure development to support system transformation with common measures. A mixed-methods study design and data from the 2013-2018 Behavioral Risk Factor Surveillance System Surveys are used to estimate whether SIM resulted in changes in access to care, health behaviors, and health status in Washington's adult population. Semi-structured qualitative interviews also were conducted to assess stakeholder perceptions of SIM performance. SIM may have reduced binge drinking, but no effects were detected for heavy drinking, physical activity, smoking, having a regular doctor checkup, unmet health care needs, and fair or poor health status. Complex interventions, such as SIM, may have unintended consequences. SIM was associated unexpectedly with increased unhealthy days, but whether the association was related to the Initiative or other factors is unclear. Over 3 years, stakeholders generally agreed that SIM was implemented successfully and increased Washington's readiness for system transformation but had not yet produced expected outcomes, partly because SIM had not spread statewide. Stakeholders perceived that scaling up SIM statewide takes time to achieve and remains challenging.

A Difference-in-Difference Study Evaluating the Effect of Minimum Wage Policy on Body Mass Index and Related Health Behaviors

Minimum wage laws are a promising policy lever to promote health equity, but few rigorous evaluations have tested whether and how minimum wage policy affects health outcomes. This paper describes an ongoing difference-in-difference study evaluating the health effects of the 2017 Minneapolis Minimum Wage Ordinance, which incrementally increases the minimum wage to $15/hr. We present: (1) the conceptual model guiding the study including mediating mechanisms, (2) the study design, and (3) baseline findings from the study, and (4) the analytic plan for the remainder of the study. This prospective study follows a cohort of 974 low-wage workers over four years to compare outcomes among low-wage workers in Minneapolis, Minnesota, and those in a comparison city (Raleigh, North Carolina). Measures include height/weight, employment paystubs, two weeks of food purchase receipts, and a survey capturing data on participant demographics, health behaviors, and household finances. Baseline findings offer a profile of individuals likely to be affected by minimum wage laws. While the study is ongoing, the movement to increase local and state minimum wage is currently high on the policy agenda; evidence is needed to determine what role, if any, such policies play in improving the health of those affected.

The tipping point: could increasing the subminimum wage reduce poverty-related antenatal stressors in U.S. women?

PURPOSE

Tipped workers, primarily women of reproductive-age, can be paid a "subminimum wage" 71% lower than the federal minimum wage, contributing to economic hardship. Poverty-related antenatal stress has deleterious health effects for women and their children. The purpose of this study was to investigate the effects of increasing the state-level subminimum wage (currently $2.13 per hour) on poverty-related antenatal stress for women in the United States.

METHODS

Utilizing a difference-in-differences approach comparing state wage policies over time, we estimated the impact of increases in the subminimum wage on poverty-related antenatal stress using data from 35 states participating in the Pregnancy Risk Assessment Monitoring System between 2004 and 2014, linked to state-level wage laws, census, and antipoverty policy data.

RESULTS

The effect of increasing the subminimum wage on poverty-related stress differed by year and sociodemographics. Wage increases in 2014 were associated with the largest decreases in stress for unmarried women of color with less than a college degree, a population that we estimated would have experienced a 19.7% reduction in stress from 2004 to 2014 if subminimum wage was equivalent to the federal minimum wage.

CONCLUSIONS

Increasing the subminimum wage can reduce poverty-related stress and may be a potential intervention for reducing poor health outcomes.

A nationwide investigation of the impact of the tipped worker subminimum wage on infant size for gestational age

Tipped workers, primarily women of reproductive-age, can be paid a "subminimum wage" 71% lower than the federal minimum wage. We estimated the effects of increasing the state-level tipped worker subminimum wage (federally, $2.13 per hour) on infant size for gestational age in the US as infants born small or large are at risk for poor health across the lifecourse. Utilizing unconditional quantile regression and difference-in-differences analysis of data from 2004 to 2016 Vital Statistics Natality Files (N = 41,219,953 mother-infant dyads), linked to state-level wage laws, census, and antipoverty policy data, we estimated the effect of increasing the subminimum wage on birthweight standardized for gestational age (BWz). Smallest and largest infants are defined as those in the 5th and 95th BWz percentiles, respectively. Increases in the subminimum wage affected the BWz distribution. When compared to a static wage of $2.13 for the duration of the study period, wage set to 100% of the federal minimum ($5.15-$7.25) was associated with an increase in BWz of 0.024 (95% CI: 0.004, 0.045) for the smallest infants and a decrease by 0.041 (95% CI: -0.054, -0.029) for the largest infants. Increasing the subminimum wage may be one strategy to promote healthier birthweight in infants.

Applying a Health Equity Lens to Evaluate and Inform Policy

Health disparities have persisted despite decades of efforts to eliminate them at the national, regional, state and local levels. Policies have been a driving force in creating and exacerbating health disparities, but they can also play a major role in eliminating disparities. Research evidence and input from affected community-level stakeholders are critical components of evidence-based health policy that will advance health equity. The Transdisciplinary Collaborative Center (TCC) for Health Disparities Research at Morehouse School of Medicine consists of five subprojects focused on studying and informing health equity policy related to maternal-child health, mental health, health information technology, diabetes, and leadership/workforce development. This article describes a "health equity lens" as defined, operationalized and applied by the TCC to inform health policy development, implementation, and analysis. Prioritizing health equity in laws and organizational policies provides an upstream foundation for ensuring that the laws are implemented at the midstream and downstream levels to advance health equity.

Examining Whether The Health-In-All-Policies Approach Promotes Health Equity

Scholars and public health advocates have expressed optimism about the potential for the health-in-all-policies approach to address social disparities in health, but little research has been done on whether it promotes health equity in practice. Based on sixty-five in-depth interviews with US officials in the public and private sectors conducted in five states in 2016-17, we found a relationship between the use of the approach and the prominence of health equity as a policy concern. In emphasizing the social determinants of health, the approach gives public officials and policy entrepreneurs a framework for promoting this goal. In some areas, we found a gradual transition in focus from health generally to health equity. Overall, we found that practitioners of the approach introduce equity selectively and strategically.

Oregon's Emphasis On Equity Shows Signs Of Early Success For Black And American Indian Medicaid Enrollees

In 2012 Oregon transformed its Medicaid program, providing coverage through sixteen coordinated care organizations (CCOs). The state identified the elimination of health disparities as a priority for the CCOs, implementing a multipronged approach that included strategic planning, community health workers, and Regional Health Equity Coalitions. We used claims-based measures of utilization, access, and quality to assess baseline disparities and test for changes over time. Prior to the CCO intervention there were significant white-black and white-American Indian/Alaska Native disparities in utilization measures and white-black disparities in quality measures. The CCOs' transformation and implementation of health equity policies was associated with reductions in disparities in primary care visits and white-black differences in access to care, but no change in emergency department use, with higher visit rates persisting among black and American Indian/Alaska Native enrollees, compared to whites. States that encourage payers and systems to prioritize health equity could reduce racial and ethnic disparities for some measures in their Medicaid populations.

Health Departments With A Commitment To Health Equity: A More Skilled Workforce And Higher-Quality Collaborations

Health equity is a public health priority, yet little is known about commitment to health equity in health departments, especially among practitioners whose work addresses chronic disease prevention. Their work places them at the forefront of battling the top contributors to disparities in morbidity and mortality. A random sample of 537 chronic disease practitioners working in state health departments was surveyed on health equity commitments, partnerships, and needed skills. A small percentage of respondents (2 percent) worked primarily on health equity, and a larger group (9 percent) included health equity as one of their multiple work areas. People who rated their work unit's commitment to health equity as high were more likely to engage with sectors outside of health and rate their leaders as high quality, and less likely to identify skills gaps in their work unit. Opportunities exist to more fully address health equity in state public health practice through organizational, institutional, and governmental policies, including those regarding resource allocation and staff training.

Exploring Characteristics and Health Care Utilization Trends Among Individuals Who Fall in the Health Insurance Assistance Gap in a Medicaid Nonexpansion State

States that did not expand Medicaid under the Affordable Care Act (ACA) in the United States have seen a growth in the number of individuals who fall in the assistance gap, defined as having incomes above the Medicaid eligibility limit (≥44% of the federal poverty level) but below the lower limit (<100%) to be eligible for tax credits for premium subsidies or cost-sharing reductions in the marketplace. The purpose of this article is to present findings from a secondary data analysis examining the characteristics of those who fell in the assistance gap ( n = 166) in Missouri, a Medicaid nonexpansion state, by comparing them with those who did not fall in the assistance gap ( n = 157). Participants completed online demographic questionnaires and self-reported measures of health and insurance status, health literacy, numeracy, and health insurance literacy. A select group completed a 1-year follow-up survey about health insurance enrollment and health care utilization. Compared with the nonassistance gap group, individuals in the assistance gap were more likely to have lower levels of education, have at least one chronic condition, be uninsured at baseline, and be seeking health care coverage for additional dependents. Individuals in the assistance gap had significantly lower annual incomes and higher annual premiums when compared with the nonassistance gap group and were less likely to be insured through the marketplace or other private insurance at the 1-year follow-up. Findings provide several practice and policy implications for expanding health insurance coverage, reducing costs, and improving access to care for underserved populations.