Trends in the Mexican infant mortality paradox over the past two decades

PurposeMexicans in the United States have lower rates of several important population health metrics than non-Hispanic whites, including infant mortality. This mortality advantage is particularly pronounced among infants born to foreign-born Mexican mothers. However, the literature to date has been relegated to point-in-time studies that preclude a dynamic understanding of ethnic and nativity differences in infant mortality among Mexicans and non-Hispanic whites.MethodsWe assessed secular trends in the relation between Mexican ethnicity, maternal nativity, and infant mortality between 1989 and 2006 using a linked birth–death data set from one US state.ResultsCongruent to previous research, we found a significant mortality advantage among infants of Mexican relative to non-Hispanic white mothers between 1989 and 1991 after adjustment for baseline demographic differences (relative risk = 0.78, 95% confidence interval, 0.62–0.98). However, because of an upward trend in infant mortality among infants of Mexican mothers, the risk of infant mortality was not significantly different from non-Hispanic white mothers in later periods.ConclusionsOur findings suggest that the “Mexican paradox” with respect to infant mortality is resolving. Changing sociocultural norms among Mexican mothers and changes in immigrant selection and immigration processes may explain these observations, suggesting directions for future research.     

COVID‐19: The Time for Collaboration Between Long‐Term Services and Supports,Health Care Systems,and Public Health Is Now

Policy Points

• To address systemic problems amplified by COVID‐19, we need to restructure US long‐term services and supports (LTSS) as they relate to both the health care systems and public health systems. We present both near‐term and long‐term policy solutions.
• Seven near‐term policy recommendations include requiring the uniform public reporting of COVID‐19 cases in all LTSS settings; identifying and supporting unpaid caregivers; bolstering protections for the direct care workforce; increasing coordination between public health departments and LTSS agencies and providers; enhancing collaboration and communication across health, LTSS, and public health systems; further reducing barriers to telehealth in LTSS; and providing incentives to care for vulnerable populations.
• Long‐term reform should focus on comprehensive workforce development, comprehensive LTSS financing reform, and the creation of an age‐friendly public health system.

ContextThe heavy toll of COVID‐19 brings the failings of the long‐term services and supports (LTSS) system in the United States into sharp focus. Although these are not new problems, the pandemic has exacerbated and amplified their impact to a point that they are impossible to ignore. The primary blame for the high rates of COVID‐19 infections and deaths has been assigned to formal LTSS care settings, specifically nursing homes. Yet other systemic problems have been unearthed during this pandemic: the failure to coordinate the US public health system at the federal level and the effects of long‐term disinvestment and neglect of state‐ and local‐level public health programs. Together these failures have contributed to an inability to coordinate with the LTSS system and to act early to protect residents and staff in the LTSS care settings that are hotspots for infection, spread, and serious negative health outcomes.MethodsWe analyze several impacts of the COVID‐19 pandemic on the US LTSS system and policy arrangements. The economic toll on state budgets has been multifaceted, and the pandemic has had a direct impact on Medicaid, the primary funder of LTSS, which in turn has further exacerbated the states’ fiscal problems. Both the inequalities across race, ethnicity, and socioeconomic status as well as the increased burden on unpaid caregivers are clear. So too is the need to better integrate LTSS with the health, social care, and public health systems.FindingsWe propose seven near‐term actions that US policymakers could take: implementing a uniform public reporting of COVID‐19 cases in LTSS settings; identifying and supporting unpaid caregivers; bolstering support for the direct care workforce; increasing coordination between public health departments and LTSS agencies and providers; enhancing collaboration and communication across health, LTSS, and public health systems; further reducing the barriers to telehealth in LTSS; and providing incentives to care for our most vulnerable populations. Our analysis also demonstrates that our nation requires comprehensive reform to build the LTSS system we need through comprehensive workforce development, universal coverage through comprehensive financing reform, and the creation of an age‐friendly public health system.ConclusionsCOVID‐19 has exposed the many deficits of the US LTSS system and made clear the interdependence of LTSS with public health. Policymakers have an opportunity to address these failings through a substantive reform of the LTSS system and increased collaboration with public health agencies and leaders. The opportunity for reform is now.     

Race/Ethnicity and Income in Relation to the Home Food Environment in US Youth Aged 6 to 19 Years

BackgroundThe home food environment is complex and has the potential to influence dietary habit development in young people. Several factors may influence the home food environment, including income and race/ethnicity.ObjectiveTo examine the relationship of income and race/ethnicity with three home food environment factors (ie, food availability frequency, family meal patterns [frequency of family and home cooked meals], and family food expenditures).DesignA cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES).ParticipantsA total of 5,096 youth aged 6 to 19 years from a nationally representative sample of US individuals participating in NHANES 2007-10.Statistical analyses performedPrevalence of food availability frequency was assessed for the entire sample, race/ethnicity, poverty income ratio (PIR), and race/ethnicity stratified by PIR. Mean values of family meal patterns and food expenditures were calculated based on race/ethnicity, PIR, and race/ethnicity stratified by PIR using analysis of variance and least squares means. Tests of main effects were used to assess differences in food availability prevalence and mean values of family meal patterns and food expenditures.ResultsNon-Hispanic whites had the highest prevalence of salty snacks (51.1%±1.5%) and fat-free/low-fat milk (39.2%±1.7%) always available. High-income homes had the highest prevalence of fruits (75.4%±2.4%) and fat-free/low-fat milk (38.4%±2.1%) always available. Differences were found for prevalence of food availability when race/ethnicity was stratified by PIR. Non-Hispanic blacks had the lowest prevalence of fat-free/low-fat milk always available across PIR groups. Differences in mean levels of family meal patterns and food expenditures were found for race/ethnicity, PIR, and race/ethnicity stratified by PIR.ConclusionsRace/ethnicity and PIR appear to influence food availability, family meal patterns, and family food expenditures in homes of youth. Knowledge of factors that influence the home food environment could assist in developing effective strategies to improve food environments for young people.     

Racial and ethnic disparities in self‐assessed health status: Evidence from the national survey of families and households

We examined racial and ethnic disparities in global health assessment and functional limitations of daily activities among whites, blacks and Hispanics, and within the Hispanic origin among Mexicans, Puerto Ricans, Cubans, and ‘Others’. Logistic regressions were employed to estimate the log odds of reporting ‘poor health’ and ‘having functional limitations’ among 12 814 respondents from the 1987—1988 National Survey of Families and Households. Compared with whites, blacks had an increased risk of reporting poor health and functional limitations. Hispanics had even a higher risk of reporting poor health, but did not have an increased risk of reporting functional limitations. Among Hispanics, Mexicans were more likely than whites to report poor health, whereas Puerto Ricans were more likely than whites to experience functional limitations. Both race and ethnicity remain important factors in explaining the disparities in self‐assessed health status independent of socioeconomic status (SES). Meanwhile, the way self‐assessed health status varies with ethnicity is importantly stratified by SES as measured by income and education. These results suggest that future research should analyze the interplay between ethnicity and SES rather than assuming measuring either captures all the important variation.     

Durational and generational differences in Mexican immigrant obesity: Is acculturation the explanation?

Using the Los Angeles Family and Neighborhood Survey (L.A.FANS-2; n = 1610), we explore the link between Mexican immigrant acculturation, diet, exercise and obesity. We distinguish Mexican immigrants and 2nd generation Mexicans from 3rd+ generation whites, blacks and Mexicans. First, we examine variation in social and linguistic measures by race/ethnicity, duration of residence and immigrant generation. Second, we consider the association between acculturation, diet and exercise. Third, we evaluate the degree to which acculturation, diet, exercise, and socioeconomic status explain the association between race/ethnicity, immigrant exposure to the US (duration since immigration/generation), and adult obesity. Among immigrants, we find a clear relationship between acculturation measures, exposure to the US, and obesity-related behaviors (diet and exercise). However, the acculturation measures do not clearly account for the link between adult obesity, immigrant duration and generation, and race/ethnicity.     

Rapid Transition to Telehealth and the Digital Divide: Implications for Primary Care Access and Equity in a Post‐COVID Era

Policy Points

• Telehealth has many potential advantages during an infectious disease outbreak such as the COVID‐19 pandemic, and the COVID‐19 pandemic has accelerated the shift to telehealth as a prominent care delivery mode.
• Not all health care providers and patients are equally ready to take part in the telehealth revolution, which raises concerns for health equity during and after the COVID‐19 pandemic.
• Without proactive efforts to address both patient‐ and provider‐related digital barriers associated with socioeconomic status, the wide‐scale implementation of telehealth amid COVID‐19 may reinforce disparities in health access in already marginalized and underserved communities.
• To ensure greater telehealth equity, policy changes should address barriers faced overwhelmingly by marginalized patient populations and those who serve them.

ContextThe COVID‐19 pandemic has catalyzed fundamental shifts across the US health care delivery system, including a rapid transition to telehealth. Telehealth has many potential advantages, including maintaining critical access to care while keeping both patients and providers safe from unnecessary exposure to the coronavirus. However, not all health care providers and patients are equally ready to take part in this digital revolution, which raises concerns for health equity during and after the COVID‐19 pandemic.MethodsThe study analyzed data about small primary care practices’ telehealth use and barriers to telehealth use collected from rapid‐response surveys administered by the New York City Department of Health and Mental Hygiene''s Bureau of Equitable Health Systems and New York University from mid‐April through mid‐June 2020 as part of the city''s efforts to understand how primary care practices were responding to the COVID‐19 pandemic following New York State''s stay‐at‐home order on March 22. We focused on small primary care practices because they represent 40% of primary care providers and are disproportionately located in low‐income, minority or immigrant areas that were more severely impacted by COVID‐19. To examine whether telehealth use and barriers differed based on the socioeconomic characteristics of the communities served by these practices, we used the Centers for Disease Control and Prevention Social Vulnerability Index (SVI) to stratify respondents as being in high‐SVI or low‐SVI areas. We then characterized respondents’ telehealth use and barriers to adoption by using means and proportions with 95% confidence intervals. In addition to a primary analysis using pooled data across the five waves of the survey, we performed sensitivity analyses using data from respondents who only took one survey, first wave only, and the last two waves only.FindingsWhile all providers rapidly shifted to telehealth, there were differences based on community characteristics in both the primary mode of telehealth used and the types of barriers experienced by providers. Providers in high‐SVI areas were almost twice as likely as providers in low‐SVI areas to use telephones as their primary telehealth modality (41.7% vs 23.8%; P <.001). The opposite was true for video, which was used as the primary telehealth modality by 18.7% of providers in high‐SVI areas and 33.7% of providers in low‐SVI areas (P <0.001). Providers in high‐SVI areas also faced more patient‐related barriers and fewer provider‐related barriers than those in low‐SVI areas.ConclusionsBetween April and June 2020, telehealth became a prominent mode of primary care delivery in New York City. However, the transition to telehealth did not unfold in the same manner across communities. To ensure greater telehealth equity, policy changes should address barriers faced overwhelmingly by marginalized patient populations and those who serve them.     

The Structure and Financing of Health Care Systems Affected How Providers Coped With COVID‐19

Policy Points

• We compared the structure of health care systems and the financial effects of the COVID‐19 pandemic on health care providers in the United States, England, Germany, and Israel: systems incorporating both public and private insurers and providers.
• The negative financial effects on health care providers have been more severe in the United States than elsewhere, owing to the prevalence of activity‐based payment systems, limited direct governmental control over available provider capacity, and the structure of governmental financial relief.
• In a pandemic, activity‐based payment reverses the conventional financial positions of payers and providers and may prevent providers from prioritizing public health because of the desire to avoid revenue loss caused by declines in patient visits.

Financial distress in the health care sector is a nonintuitive consequence of a pandemic. Yet, in the United States, the budgets of health care providers are under considerable strain as the COVID‐19 pandemic continues.Analysts anticipate that these continuing financial challenges will generate a wave of consolidation among hospitals and physician practices through 2021. ¹ Critical access hospitals, hospitals serving vulnerable populations, and independent primary care practices are particularly threatened. ² , ³ These dire financial outcomes arose through the interaction of the public health measures taken in response to the COVID‐19 epidemic, particularly the shutdown of elective procedures, along with the underlying structure of US health care financing and the US government''s emergency response.But COVID‐19 is a global epidemic. The twin effects of COVID‐19 treatment and reduced non‐COVID treatment have dramatically changed the number and case mix of patients treated in similar ways across high‐income countries. In all countries, the number of acutely ill patients with COVID rose while the number of patients with other conditions fell. The effects of these changes on health care providers’ finances have varied, however, depending on how health care systems are ordinarily structured and financed and to what extent government actions protected health care providers. By comparing the financial effects of the COVID‐19 pandemic in the United States and three other health care systems (England, Germany, and Israel) that incorporate both public and private insurers and providers, we can identify the governmental and policy factors that contributed to the severity and distribution of the effects of COVID‐19 on US providers.In all four countries, the impacts of COVID on the utilization of health care were similar. During infection surges, the number of COVID patients stressed hospitals, and as a result, nonurgent services for non‐COVID patients were postponed or forgone. The governments of all four countries directly supported health care providers with funding for increased COVID‐related expenditures (such as for personal protective equipment). The governments of all four countries also protected and compensated health care providers for their financial losses, but they did so in different ways, reflecting the structure of their health systems. In Israel, which uses relatively little activity‐based financing, the government saw less need for dedicated financial assistance. The governments of Germany and England shifted the form of payment away from activity‐based financing toward budgets to provide financial protection to health care providers, particularly in hospitals. Finally, in the United States, where activity‐based payment is prevalent and the health care–financing system is far too fragmented to permit a rapid switch in the method of payment, the government directly compensated providers for lost revenue.     

Life Satisfaction and Subsequent Physical,Behavioral, and Psychosocial Health in Older Adults

Policy Points

• Several intergovernmental organizations (Organisation for Economic Co‐operation and Development, World Health Organization, United Nations) are urging countries to use well‐being indicators (e.g., life satisfaction) in addition to traditional economic indicators when making important policy decisions.
• As the number of governments implementing this new approach grows, so does the need to continue evaluating the health and well‐being outcomes we might observe from policies aimed at improving life satisfaction.
• The results of this study suggest that life satisfaction is a valuable target for policies aiming to enhance several indicators of psychosocial well‐being, health behaviors, and physical health outcomes.

ContextSeveral intergovernmental organizations (Organisation for Economic Co‐operation and Development, World Health Organization, United Nations) are urging countries to use well‐being indicators (e.g., life satisfaction) in addition to traditional economic indicators when making important policy decisions. As the number of governments implementing this new approach grows, so does the need to continue evaluating the health and well‐being outcomes we might observe from policies aimed at improving life satisfaction.MethodsWe evaluated whether positive change in life satisfaction (between t₀;2006/2008 and t₁;2010/2012) was associated with better outcomes on 35 indicators of physical, behavioral, and psychosocial health and well‐being (in t₂;2014/2016). Data were from 12,998 participants in the University of Michigan''s Health and Retirement Study—a prospective and nationally representative cohort of US adults over age 50.FindingsParticipants with the highest (versus lowest) life satisfaction had better subsequent outcomes on some physical health indicators (lower risk of pain, physical functioning limitations, and mortality; lower number of chronic conditions; and higher self‐rated health) and health behaviors (lower risk of sleep problems and more frequent physical activity), and nearly all psychosocial indicators (higher positive affect, optimism, purpose in life, mastery, health mastery, financial mastery, and likelihood of living with spouse/partner; and lower depression, depressive symptoms, hopelessness, negative affect, perceived constraints, and loneliness) over the 4‐year follow‐up period. However, life satisfaction was not subsequently associated with many specific health conditions (i.e., diabetes, hypertension, stroke, cancer, heart disease, lung disease, arthritis, overweight/obesity, or cognitive impairment), other health behaviors (i.e., binge drinking or smoking), or frequency of contact with children, family, or friends.ConclusionsThese results suggest that life satisfaction is a valuable target for policies aiming to enhance several indicators of psychosocial well‐being, health behaviors, and physical health outcomes.     

Examining Black-White Disparities Among Medicare Beneficiaries in Assisted Living Settings in 2014

ObjectiveAssisted living (AL) provides housing and personal care to residents who need assistance with daily activities. Few studies have examined black-white disparities in larger (25 + beds) ALs; therefore, little is known about black residents, their prior residential settings, and how they compare to whites in AL. We examined racial differences among a national cohort of AL residents and how the racial variation among AL Medicare Fee-For-Service (FFS) beneficiaries compared to differences among community-dwelling and nursing home cohorts.Study designRetrospective cohort study.ParticipantsWe included (1) a prevalence sample of 442,018 white and black Medicare beneficiaries residing in large AL settings, (2) an incidence sample of new residents (n = 94,741), and (3) 10% random samples of Medicare FFS community-dwelling and nursing home beneficiaries in 2014.MeasuresThe Medicare Master Summary Beneficiary File was used to identify AL residents and provided demographic, entitlement, chronic condition, and health care utilization information. We used the American Community Survey and prior ZIP code tabulation areas of residents to examine differences in prior neighborhoods. Medicare claims and the Minimum Data Set yielded samples of Medicare FFS community-dwelling older adults and nursing home residents.ResultsBlacks were disproportionately represented in AL, younger, more likely to be Medicaid eligible, had higher levels of acuity, and more often lived in ALs with fewer whites and more duals. New black residents entered AL with higher rates of acute care hospitalizations and skilled nursing facility utilization. Across the 3 cohorts, blacks had higher rates of dual-eligibility.ConclusionsBlack-white differences observed among AL residents indicate a need for future work to examine how disparities manifest in differences in care received and residents’ outcomes, as well as the pathways to AL. More research is needed to understand the implications of inequities in AL as they relate to quality and experiences of residents.     

Effects of the COVID‐19 Emergency and National Lockdown on Italian Citizens’ Economic Concerns,Government Trust,and Health Engagement: Evidence From a Two‐Wave Panel Study

Policy Points

• Preventive measures such as the national lockdown in Italy have been effective in slowing the spread of COVID‐19. However, they also had psychological and economic impacts on people’s lives, which should not be neglected as they may reduce citizens’ trust and compliance with future health mandates.
• Engaging citizens in their own health management and in the collaboration with health care professionals and authorities via the adoption of a collaborative approach to health policy development is fundamental to fostering such measures’ effectiveness.
• Psychosocial analysis of citizens’ concerns and emotional reactions to preventive policies is important in order to plan personalized health communication campaigns.

ContextBecause of the COVID‐19 pandemic, between February 23 and March 8, 2020, some areas of Italy were declared “red zones,” with citizens asked to stay home and avoid unnecessary interpersonal contacts. Such measures were then extended, between March 10 and May 4, 2020, to the whole country. However, compliance with such behaviors had an important impact on citizens’ personal, psychological, and economic well‐being. This could result in reduced trust in authorities and lowered compliance. Keeping citizens engaged in their own health and in preventive behaviors is thus a key strategy for the success of such measures. This paper presents the results from a study conducted in Italy to monitor levels of people’s health engagement, sentiment, trust in authorities, and perception of risk at two different time points.MethodsTwo independent samples (n = 968 and n = 1,004), weighted to be representative of the adult Italian population, were recruited in two waves corresponding to crucial moments of the Italian COVID‐19 epidemic: between February 28 and March 4 (beginning of “phase 1,” after the first regional lockdowns), and between May 12 and May 18 (beginning of “phase 2,” after the national lockdown was partially dismissed). Respondents were asked to complete an online survey with a series of both validated measures and ad hoc items. A series of t‐tests, general linear models, and contingency tables were carried out to assess if and how our measures changed over time in different social groups.FindingsAlthough sense of self and social responsibility increased between the two waves, and trust toward authorities remained substantially the same, trust in science, consumer sentiment, and health engagement decreased. Our results showed that while both the level of general concern for the emergency and the perceived risk of infection increased between the two waves, in the second wave our participants reported being more concerned for the economic consequences of the pandemic than the health risk.ConclusionsThe potentially disruptive psychological impact of lockdown may hamper citizens’ compliance with, and hence the effectiveness of, behavioral preventive measures. This suggests that preventive measures should be accompanied by collaborative educational plans aimed at promoting people’s health engagement by making citizens feel they are partners in the health preventive endeavor and involved in the development of health policies.     

Identifying Opportunities to Strengthen the Public Health Informatics Infrastructure: Exploring Hospitals’ Challenges with Data Exchange

Policy Points

• Even though most hospitals have the technological ability to exchange data with public health agencies, the majority continue to experience challenges.
• Most challenges are attributable to the general resources of public health agencies, although workforce limitations, technology issues such as a lack of data standards, and policy uncertainty around reporting requirements also remain prominent issues.
• Ongoing funding to support the adoption of technology and strengthen the development of the health informatics workforce, combined with revising the promotion of the interoperability scoring approach, will likely help improve the exchange of electronic data between hospitals and public health agencies.

ContextThe novel coronavirus 2019 (COVID‐19) pandemic has highlighted significant barriers in the exchange of essential information between hospitals and local public health agencies. Thus it remains important to clarify the specific issues that hospitals may face in reporting to public health agencies to inform focused approaches to improve the information exchange for the current pandemic as well as ongoing public health activities and population health management.MethodsThis study uses cross‐sectional data of acute‐care, nonfederal hospitals from the 2017 American Hospital Association Annual Survey and Information Technology supplement. Guided by the technology‐organization‐environment framework, we coded the responses to a question regarding the challenges that hospitals face in submitting data to public health agencies by using content analysis according to the type of challenge (i.e., technology, organization, or environment), responsible entity (i.e., hospital, public health agency, vendor, multiple), and the specific issue described. We used multivariable logistic and multinomial regression to identify characteristics of hospitals associated with experiencing the types of challenges.FindingsOur findings show that of the 2,794 hospitals in our analysis, 1,696 (61%) reported experiencing at least one challenge in reporting health data to a public health agency. Organizational issues were the most frequently reported type of challenge, noted by 1,455 hospitals. The most common specific issue, reported by 1,117 hospitals, was the general resources of public health agencies. An advanced EHR system and participation in a health information exchange both decreased the likelihood of not reporting experiencing a challenge and increased the likelihood of reporting an organizational challenge.ConclusionsOur findings inform policy recommendations such as improving data standards, increasing funding for public health agencies to improve their technological capabilities, offering workforce training programs, and increasing clarity of policy specifications and reporting. These approaches can improve the exchange of information between hospitals and public health agencies.     

Health Insurance Disparities in Traditional and Contingent/Alternative Employment

Relative to whites, Hispanics and blacks are less likely to have employer health insurance coverage. We examine whether ethnicity or race affects employment in traditional jobs or in contingent and alternative work arrangements, and whether ethnicity or race affects insurance offer, eligibility, and/or enrollment, conditional on employment sector. Health insurance disparities relative to whites are more pronounced for Hispanics, primarily due to disparities in employment by firms that offer coverage. Eliminating racial/ethnic disparities in offers, eligibility, and takeup would increase insurance coverage rates of Hispanics in traditional jobs and of both Hispanics and blacks in contingent and alternative jobs. JEL classification: I10, J32, J70     

Perspectives on public involvement in health research from Singapore: The potential of a supported group model of involvement

BackgroundSingapore is an international research hub, with an emphasis on translational clinical research. Despite growing evidence of the positive impact of public involvement (PPI) in research, it remains rare in Singapore.Aims

1. To investigate Singaporean public perspectives around the rationale, role and scope for being involved in health research
2. To identify the potential, challenges, facilitators and strategies for implementing PPI in Singapore.

DesignSemi‐structured qualitative interviews with members of the public, analysed using thematic framework analysis.ResultsTwenty people participated. Four main themes emerged: potential benefits; challenges; facilitators; and strategies for implementation. Whilst initially unfamiliar with the concept, all interviewees recognized potential benefits for the research itself and those involved, including researchers. PPI was seen to offer opportunities for public empowerment and strengthening of relationships and understanding between the public, academics and health professionals, resulting in more impactful research. Challenges included a Singaporean culture of passive citizenship and an education system that inculcates deferential attitudes. Facilitators comprised demographic and cultural changes, including trends towards greater individual openness and community engagement. Implementation strategies included formal government policies promoting involvement and informal community‐based collaborative approaches.ConclusionGiven the socio‐political framework in Singapore, a community‐based approach has potential to address challenges to PPI and maximize impact. Careful consideration needs to be given to issues of resource and support to enable members of the public to engage in culturally sensitive and meaningful ways that will deliver research best placed to effectively address patient needs.     

Obesity and Overweight in Ethnic Minorities of the Detroit Metropolitan Area of Michigan

Race, ethnicity and socioeconomic factors influence the prevalence of obesity and overweight, which are major public health problems. Our objectives were (1) to calculate the prevalence of self-reported obesity and overweight in whites, blacks, Chaldeans, and Arabs in the Detroit metropolitan area; and (2) to examine the odds for self-reported overweight and obesity in the racial and ethnic minorities when compared to whites. The responses to a self-administered survey conducted among the adult residents (n = 2,883) of the Detroit metropolitan area of Michigan were analyzed. Prevalence of overweight and obesity were 47.4 and 34.6 % respectively for the whole sample, while it was 39.9 and 43.6 % for whites, 42.3 and 47.8 % for blacks, 46.2 and 30.3 % for Chaldeans, and 52.2 and 28.5 % for Arabs. The odds for obesity was significantly lower in Arabs [odds ratio (OR) 0.31; 95 % confidence interval (CI) 0.13–0.72] and Chaldeans (OR 0.14; 95 % CI 0.06–0.33) when compared to whites. Chaldeans (OR 0.36; 95 % CI 0.15–0.86) had significantly decreased likelihood for being overweight compared to whites. Odds for obesity and overweight can vary in the different ethnic minorities within whites. Sharing similar living conditions decreases the differences in the odds for overweight and obesity between whites and blacks. Taking into consideration the racial and ethnic differences of the target population may help in developing better programs for fighting overweight and obesity.     

Educational Inequalities in Hospital Use Among Older Adults in England, 2004-2015

Policy Points

• US policymakers considering proposals to expand public health care (such as “Medicare for all”) as a means of reducing inequalities in health care access and use could learn from the experiences of nations where well‐funded universal health care systems are already in place.
• In England, which has a publicly funded universal health care system, the use of core inpatient services by adults 65 years and older is equal across groups defined by education level, after controlling for health status. However, variation among these groups in the use of outpatient and emergency department care developed between 2010 and 2015, a period of relative financial austerity.
• Based on England''s experience, introducing universal health care in the United States seems likely to reduce, but not entirely eliminate, inequalities in health care use across different population groups.

ContextExpanding access to health care is once again high on the US political agenda, as is concern about those who are being “left behind.” But is universal health care that is largely free at the point of use sufficient to eliminate inequalities in health care use? To explore this question, we studied variation in the use of hospital care among education‐level‐defined groups of older adults in England, before and after controlling for differences in health status. In England, the National Health Service (NHS) provides health care free to all, but the growth rate for NHS funding has slowed markedly since 2010 during a widespread austerity program, potentially increasing inequalities in access and use.MethodsNovel linkage of data from six waves (2004‐2015) of the English Longitudinal Study of Ageing (ELSA) with participants’ hospital records (Hospital Episode Statistics [HES]) produced longitudinal data for 7,713 older adults (65 years and older) and 25,864 observations. We divided the sample into three groups by education level: low (no formal qualifications), mid (completed compulsory education), and high (at least some higher education). Four outcomes were examined: annual outpatient appointments, elective inpatient admissions, emergency inpatient admissions, and emergency department (ED) visits. We estimated regressions for the periods 2004‐2005 to 2008‐2009 and 2010‐2011 to 2014‐2015 to examine whether potential education‐related inequalities in hospital use increased after the growth rate for NHS funding slowed in 2010.FindingsFor the study period, our sample of ELSA respondents in the low‐education group made 2.44 annual outpatient visits. In comparison, after controlling for health status, we found that participants in the high‐education group made an additional 0.29 outpatient visits annually (95% confidence interval [CI], 0.11‐0.47). Additional outpatient health care use in the high‐education group was driven by follow‐up and routine appointments. This inequality widened after 2010. Between 2010 and 2015, individuals in the high‐education group made 0.48 (95% CI, 0.21‐0.74) more annual outpatient visits than those in the low‐education (16.9% [7.5% to 26.2%] of annual average 2.82 visits). In contrast, after 2010, the high‐education group made 0.04 (95% CI, −0.075 to 0.001) fewer annual ED visits than the low‐education group, which had a mean of 0.30 annual ED visits. No significant differences by education level were found for elective or emergency inpatient admissions in either period.ConclusionsAfter controlling for demographics and health status, there was no evidence of inequality in elective and emergency inpatient admissions among the education groups in our sample. However, a period of financial budget tightening for the NHS after 2010 was associated with the emergence of education gradients in other forms of hospital care, with respondents in the high‐education group using more outpatient care and less ED care than peers in the low‐education group. These estimates point to rising inequalities in the use of hospital care that, if not reversed, could exacerbate existing health inequalities in England. Although the US and UK settings differ in many ways, our results also suggest that a universal health care system would likely reduce inequality in US health care use.     

The Communication Infrastructure as a Social Determinant of Health: Implications for Health Policymaking and Practice

Policy Points

• Persistent communication inequalities limit racial/ethnic minority access to life‐saving health information and make them more vulnerable to the effects of misinformation.
•  Establishing data collection systems that detect and track acute gaps in the supply and/or access of racial/ethnic minority groups to credible health information is long overdue.
• Public investments and support for minority‐serving media and community outlets are needed to close persistent gaps in access to credible health information.

     

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.

ContextA 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.MethodsThe 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.FindingsIn 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).ConclusionsMayoral 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.     

Gender inequalities in US adult health: the interplay of race and ethnicity

Gender differences in adult health are well documented, but only recently has research begun to investigate how race and ethnicity condition gendered health disparities. This paper contributes to this line of inquiry by assessing gender differences in morbidity across five major US racial and ethnic populations. Using data from the 1997-2001 waves of the National Health Interview Survey, the analysis examines differences in men and women's self-rated health, functional limitations, and life-threatening medical conditions for whites, blacks, Mexicans, Puerto Ricans, and Cubans. For each health outcome, we investigate the utility of socioeconomic factors in accounting for observed disparities. Contrary to finding universal excess in female morbidity, the results show that the magnitude of gender difference varies considerably by racial/ethnic group, health outcome, and comparison category. The most striking findings are the consistently higher levels of functional limitations for all women compared to men in their same racial/ethnic group and the poorer health of black women relative to both white and black men for all health measures, after adjustment for socioeconomic and background factors. The gender gap for all other health measures is more variable, and for Mexican women a difference is only evident for functional limitations and only when compared to Mexican men. Our results underscore the need for more research on the role of race and ethnicity in shaping gendered health inequalities and the mechanisms that lead to such variable patterns of difference across and within US racial and ethnic populations.     

Who Would Pay Higher Taxes for Better Mental Health? Results of a Large‐Sample National Choice Experiment

Policy Points

•  Public funding for mental health programs must compete with other funding priorities in limited state budgets.
•  Valuing state‐funded mental health programs in a policy‐relevant context requires consideration of how much benefit from other programs the public is willing to forgo to increase mental health program benefits and how much the public is willing to be taxed for such program benefits.
•  Taxpayer resistance to increased taxes to pay for publicly funded mental health programs and perceived benefits of such programs vary with state population size.
•  In all states, taxpayers seem to support increased public funding for mental health programs such as state Medicaid services, suggesting such programs are underfunded from the perspective of the average taxpayer.

ContextThe direct and indirect impacts of serious mental illness (SMI) on health care systems and communities represents a significant burden. However, the value that community members place on alleviating this burden is not known, and SMI treatment must compete with a long list of other publicly funded priorities. This study defines the value of public mental health interventions as what the public would accept, either in the form of higher taxes or in reductions in nonhealth programs, in return for increases in the number of mental health program beneficiaries.MethodsWe developed and fielded a best‐practice discrete‐choice experiment survey to quantify respondents’ willingness to be taxed for increased spending among several competing programs, including a program for treating severe mental health conditions. A realistic decision frame was used to elicit respondents’ willingness to support expanded state budgets for mental health programs if that expansion required either cuts in the competing publicly financed programs or tax increases. The survey was administered to a general population national sample of 10,000 respondents.FindingsNearly half the respondents in our sample either chose “no budget increase” for all budget scenarios or had preferences that were too disordered to estimate trade‐off values. Including zero values for those respondents, we found that the mean (median) amount that all respondents were willing to be taxed annually for public mental health programs ranged between $156 ($99) per year for large‐population states and $343 ($181) per year for small‐population states. Respondents would accept reductions of between 1.6 and 3.4 beneficiaries in other programs in return for 1 additional mental health program beneficiary.ConclusionsOur results are consistent with findings that a substantial portion of the US public is unwilling to pay higher taxes. Nevertheless, even including the substantial number of respondents who opposed any tax increase, the willingness of both the mean and median respondent to be taxed for mental health program expansions implies that programs providing mental health services such as state Medicaid are underfunded.     

A Commons for a Supply Chain in the Post-COVID-19 Era: The Case for a Reformed Strategic National Stockpile

Policy Points

• Reflecting on current response deficiencies, we offer a model for a national contingency supply chain cell (NCSCC) construct to manage the medical materials supply chain in support of emergencies, such as COVID‐19. We develop the following:
  • a framework for governance and response to enable a globally independent supply chain;
  • a flexible structure to accommodate the requirements of state and county health systems for receiving and distributing materials; and
  • a national material “control tower” to improve transparency and real‐time access to material status and location.

ContextMuch of the discussion about the failure of the COVID‐19 supply chain has centered on personal protective equipment (PPE) and the degree of vulnerability of care. Prior research on supply chain risks have focused on mitigating the risk of disruptions of specific purchased materials within a bounded region or on the shifting status of cross‐border export restrictions. But COVID‐19 has impacted every purchase category, region, and border. This paper is responsive to the National Academies of Sciences, Engineering and Medicine recommendation to study and monitor disasters and to provide governments with course of action to satisfy legislative mandates.MethodsOur analysis draws on our observations of the responses to COVID‐19 in regard to acquisition and contracting problem‐solving, our review of field discussions and interactions with experts, a critique of existing proposals for managing the strategic national stockpile in the United States a mapping of the responses to national contingency planning phases, and the identification of gaps in current national healthcare response policy frameworks and proposals.FindingsCurrent proposals call for augmenting a system that has failed to deliver the needed response to COVID‐19. These proposals do not address the key attributes for pandemic plan renewal: flexibility, traceability and transparency, persistence and responsiveness, global independence, and equitable access. We offer a commons‐based framework for achieving the opportunities and risks which are responsive to a constellation of intelligence assets working in and across focal targets of global supply chain risk.ConclusionsThe United States needs a “commons‐based strategy” that is not simply a stockpile repository but instead is a network of repositories, fluid inventories, and analytic monitoring governed by the experts. We need a coordinated effort, a “commons” that will direct both conventional and new suppliers to meet demands and to eliminate hoarding and other behaviors.