Precision Public Health and Structural Racism in the United States: Promoting Health Equity in the COVID-19 Pandemic Response

The COVID-19 pandemic has revealed deeply entrenched structural inequalities that resulted in an excess of mortality and morbidity in certain racial and ethnic groups in the United States. Therefore, this paper examines from the US perspective how structural racism and defective data collection on racial and ethnic minorities can negatively influence the development of precision public health (PPH) approaches to tackle the ongoing COVID-19 pandemic. Importantly, the effects of structural and data racism on the development of fair and inclusive data-driven components of PPH interventions are discussed, such as with the use of machine learning algorithms to predict public health risks. The objective of this viewpoint is thus to inform public health policymaking with regard to the development of ethically sound PPH interventions against COVID-19. Particular attention is given to components of structural racism (eg, hospital segregation, implicit and organizational bias, digital divide, and sociopolitical influences) that are likely to hinder such approaches from achieving their social justice and health equity goals.     

Racism and Older Black Americans’ Health: a Systematic Review

We reviewed research that examines racism as an independent variable and one or more health outcomes as dependent variables in Black American adults aged 50 years and older in the USA. Of the 43 studies we reviewed, most measured perceived interpersonal racism, perceived institutional racism, or residential segregation. The only two measures of structural racism were birth and residence in a “Jim Crow state.” Fourteen studies found associations between racism and mental health outcomes, five with cardiovascular outcomes, seven with cognition, two with physical function, two with telomere length, and five with general health/other health outcomes. Ten studies found no significant associations in older Black adults. All but six of the studies were cross-sectional. Research to understand the extent of structural and multilevel racism as a social determinant of health and the impact on older adults specifically is needed. Improved measurement tools could help address this gap in science.     

Beyond Urban Penalty and Urban Sprawl: Back to Living Conditions as the Focus of Urban Health

Researchers have long studied urban health, both to describe the consequences of urban living and to design interventions to promote the health of people living in cities. Two approaches to understanding the impact of cities on health have been dominant, namely, urban health penalty and urban sprawl. The urban penalty approach posits that cities concentrate poor people and expose them to unhealthy physical and social environments. Urban sprawl focuses on the adverse health and environmental effects of urban growth into outlying areas. We propose a model that integrates these approaches and emphasizes urban living conditions as the primary determinant of health. The aim of the model is to move beyond describing the health-related characteristics of various urban populations towards identifying opportunities for intervention. Such a shift in framework enables meaningful comparisons that can inform public health activities at the appropriate level and evaluate their effectiveness in improving the health of urban populations. The model is illustrated with two examples from current urban public health practice.     

Health inequalities,fundamental causes and power: towards the practice of good theory

Reducing health inequalities remains a challenge for policy makers across the world. Beginning from Lewin’s famous dictum that “there is nothing as practical as a good theory”, this paper begins from an appreciative discussion of ‘fundamental cause theory’, emphasizing the elegance of its theoretical encapsulation of the challenge, the relevance of its critical focus for action, and its potential to support the practical mobilisation of knowledge in generating change. Moreover, it is argued that recent developments in the theory, provide an opportunity for further theoretical development focused more clearly on the concept of power (Dickie et al. 2015). A critical focus on power as the essential element in maintaining, increasing or reducing social and economic inequalities – including health inequalities – can both enhance the coherence of the theory, and also enhance the capacity to challenge the roots of health inequalities at different levels and scales. This paper provides an initial contribution by proposing a framework to help to identify the most important sources, forms and positions of power, as well as the social spaces in which they operate. Subsequent work could usefully test, elaborate and adapt this framework, or indeed ultimately replace it with something better, to help focus actions to reduce inequalities.     

The Black-White Disparity in Preterm Birth: Race or Racism?

Policy Points

• Racism is an upstream determinant of health that influences health through many midstream and downstream factors. This Perspective traces multiple plausible causal pathways from racism to preterm birth.
• Although the article focuses on the Black-White disparity in preterm birth, a key population health indicator, it has implications for many other health outcomes.
• It is erroneous to assume by default that underlying biological differences explain racial disparities in health. Appropriate science-based policies are needed to address racial disparities in health; this will require addressing racism.

     

Health Extension in New Mexico: An Academic Health Center and the Social Determinants of Disease

The Agricultural Cooperative Extension Service model offers academic health centers methodologies for community engagement that can address the social determinants of disease. The University of New Mexico Health Sciences Center developed Health Extension Rural Offices (HEROs) as a vehicle for its model of health extension. Health extension agents are located in rural communities across the state and are supported by regional coordinators and the Office of the Vice President for Community Health at the Health Sciences Center. The role of agents is to work with different sectors of the community in identifying high-priority health needs and linking those needs with university resources in education, clinical service and research. Community needs, interventions, and outcomes are monitored by county health report cards. The Health Sciences Center is a large and varied resource, the breadth and accessibility of which are mostly unknown to communities. Community health needs vary, and agents are able to tap into an array of existing health center resources to address those needs. Agents serve a broader purpose beyond immediate, strictly medical needs by addressing underlying social determinants of disease, such as school retention, food insecurity, and local economic development. Developing local capacity to address local needs has become an overriding concern. Community-based health extension agents can effectively bridge those needs with academic health center resources and extend those resources to address the underlying social determinants of disease.     

Health equity and sustainability: extending the work of the Commission on the Social Determinants of Health

The final report of the World Health Organization Commission on Social Determinants of Health presents opportunities to promote synergies between health equity and action on sustainability, including reducing global warming. The report makes important recommendations for political and economic reform, but stops short of calling for major change to the conventional neo-liberal model of economic development and growth. Yet the challenge of global warming appears to make growth according to this model unfeasible. In this article, we explore opportunities in the work of the Commission for combining goals of health equity and sustainability, and discuss ideas for economic reforms which further challenge the dominant model, and seek to accommodate the imperatives of reversing climate change.     

A Conceptual Framework for Optimizing the Equity of Hospital-Based Emergency Care: The Structure of Hospital Transfer Networks

Policy Points

• Current pay-for-performance and other payment policies ignore hospital transfers for emergency conditions, which may exacerbate disparities.
• No conceptual framework currently exists that offers a patient-centered, population-based perspective for the structure of hospital transfer networks.
• The hospital transfer network equity-quality framework highlights the external and internal factors that determine the structure of hospital transfer networks, including structural inequity and racism.

     

Leveraging Data and Digital Health Technologies to Assess and Impact Social Determinants of Health (SDoH): a State-of-the-Art Literature Review

ObjectiveIdentify how novel datasets and digital health technology, including both analytics-based and artificial intelligence (AI)-based tools, can be used to assess non-clinical, social determinants of health (SDoH) for population health improvement.MethodsA state-of-the-art literature review with systematic methods was performed on MEDLINE, Embase, and the Cochrane Library databases and the grey literature to identify recently published articles (2013-2018) for evidence-based qualitative synthesis. Following single review of titles and abstracts, two independent reviewers assessed eligibility of full-texts using predefined criteria and extracted data into predefined templates.ResultsThe search yielded 2,714 unique database records of which 65 met inclusion criteria. Most studies were conducted retrospectively in a United States community setting. Identity, behavioral, and economic factors were frequently identified social determinants, due to reliance on administrative data. Three main themes were identified: 1) improve access to data and technology with policy – advance the standardization and interoperability of data, and expand consumer access to digital health technologies; 2) leverage data aggregation – enrich SDoH insights using multiple data sources, and use analytics-based and AI-based methods to aggregate data; and 3) use analytics-based and AI-based methods to assess and address SDoH – retrieve SDoH in unstructured and structured data, and provide contextual care management sights and community-level interventions.ConclusionsIf multiple datasets and advanced analytical technologies can be effectively integrated, and consumers have access to and literacy of technology, more SDoH insights can be identified and targeted to improve public health. This study identified examples of AI-based use cases in public health informatics, and this literature is very limited.     

Frontline work and racial disparities in social and economic pandemic stressors during the first COVID-19 surge

Objective

To assess the magnitude of racial–ethnic disparities in pandemic-related social stressors and examine frontline work's moderating relationship on these stressors.

Data Sources

Employed Californians' responses to the Institute for Governmental Studies (IGS) poll from April 16–20, 2020, were analyzed. The Pandemic Stressor Scale (PSS) assessed the extent to which respondents experienced or anticipated problems resulting from the inability to pay for basic necessities, job instability, lacking paid sick leave, unavailability of childcare, and reduced wages or work hours due to COVID-19.

Study Design

Mixed-effects generalized linear models estimated (1) racial–ethnic disparities in pandemic stressors among workers during the first COVID-19 surge, adjusting for covariates, and (2) tested the interaction between race–ethnicity and frontline worker status, which includes a subset of essential workers who must perform their job on-site, to assess differential associations of frontline work by race–ethnicity.

Data Collection

The IGS poll data from employed workers (n = 4795) were linked to the 2018 Centers for Disease Control and Prevention Social Vulnerability Index at the zip code level (N = 1068).

Principal Findings

The average PSS score was 37.34 (SD = 30.49). Whites had the lowest PSS score (29.88, SD = 26.52), and Latinxs had the highest (50.74, SD = 32.61). In adjusted analyses, Black frontline workers reported more pandemic-related stressors than White frontline workers (PSS = 47.73 vs. 36.96, p < 0.001). Latinxs reported more pandemic stressors irrespective of frontline worker status. However, the 5.09-point difference between Latinx frontline and non-frontline workers was not statistically different from the 4.6-point disparity between White frontline and non-frontline workers.

Conclusion

Latinx workers and Black frontline workers disproportionately reported pandemic-related stressors. To reduce stress on frontline workers during crises, worker protections like paid sick leave, universal access to childcare, and improved job security are needed, particularly for those disproportionately affected by structural inequities, such as racially minoritized populations.