A longitudinal study of predictors of serious psychological distress during COVID-19 pandemic.

BACKGROUND: The prevalence of serious psychological distress (SPD) was elevated during the COVID-19 pandemic in the USA, but the relationships of SPD during the pandemic with pre-pandemic SPD, pre-pandemic socioeconomic status, and pandemic-related social stressors remain unexamined. METHODS: A probability-based sample (N = 1751) of the US population age 20 and over was followed prospectively from February 2019 (T1), with subsequent interviews in May 2020 (T2) and August 2020 (T3). Multinomial logistic regression was used to assess prospective relationships between T1 SPD with experiences of disruption of employment, health care, and childcare at T2. Binary logistic regression was then used to assess relationships of T1 SPD, and socioeconomic status and T2 pandemic-related stressors with T3 SPD. RESULTS: At T1, SPD was associated with age, race/ethnicity, and household income. SPD at T1 predicted disruption of employment (OR 4.5, 95% CI 1.4-3.8) and health care (OR 3.2, 95% CI 1.4-7.1) at T2. SPD at T1 (OR 10.2, 95% CI 4.5-23.3), low household income at T1 (OR 2.6, 95% CI 1.1-6.4), disruption of employment at T2 (OR 3.2, 95% CI 1.4-7.6), and disruption of healthcare at T2 (OR 3.3, 95% CI 1.5-7.2) were all significantly associated with elevated risk for SPD at T3. CONCLUSIONS: Elevated risk for SPD during the COVID-19 pandemic is related to multiple psychological and social pathways that are likely to interact over the life course. Policies and interventions that target individuals with pre-existing mental health conditions as well as those experiencing persistent unemployment should be high priorities in the mental health response to the pandemic.

What drives health mindset and expectations in the United States?

Health mindset is a group of beliefs or assumptions that individuals hold about the causes of health and well-being. Strengthening our understanding of factors that shape mindset and how mindset shapes expectations for who can and should be responsible for health can inform the success and sustainability of solutions to current health crises including the COVID-19 pandemic, ongoing disparities in health outcomes, and gun violence. We first examined associations between personal characteristics and experiences with health mindset. Next, we examined the association between mindset and the belief that government involvement can help address pressing health questions, using obesity as an example of a health outcome that is shaped both by personal choices and factors outside one's control. Going forward, it will be important to consider health mindset in broader transformations of the health system and population approaches to improving health.

Age declines in numeracy: An analysis of longitudinal data.

Numeracy, the ability to understand and use basic probability and numerical concepts, is associated with diverse positive outcomes across the lifespan. Prior cross-sectional research on numeracy has generally found a negative association with age, but positive correlations with male gender, education attainment, and measures of fluid and crystallized intelligence have been more robust. Age effects on cognitive functioning are well established, but little is known about longitudinal trends of numeracy into older age. The present study investigates longitudinal age effects on numeracy using a sample of 524 adults (2008 Agerange = 20-78) from the RAND American Life Panel. Participants completed a numeracy measure in both 2008 and 2019, a span of 11 years. Using a linear mixed-effect model to predict numeracy scores, a significant interaction between the year of testing and the quadric age term shows a decline in numeracy scores beginning in later middle age, a trend that falls in between those previously found for crystallized and fluid cognitive abilities. Numeracy declines are somewhat mitigated for males and those with higher education, but the interaction of the two variables did not return a clear pattern of results. Prior research has shown that numeracy is positively related to the quality of health and financial decisions and, ultimately, more positive health and economic outcomes. The implications of age declines in numeracy are discussed in relation to health and financial decision-making, tasks that remain relevant into old age. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Nationally Representative Sample Shows an Increase in Domestic Conflict Early in the COVID-19 Pandemic.

OBJECTIVE: The coronavirus disease (COVID-19) pandemic and associated social distancing increased stressors related to risk for domestic conflict, but increases in domestic conflict early in the pandemic have yet to be studied in community samples. METHODS: Increase in domestic conflict (verbal or physical fights) since the beginning of the pandemic was assessed in 1196 partnered and cohabitating respondents, drawn from a nationally representative sample, in May 2020. Chi-square tests and logistic regression analyses were used to estimate associations of demographic characteristics and financial worry with domestic conflict. RESULTS: An increase in domestic conflict was reported by 10.6% (95% CI: 7.7-13.4) of the sample. Domestic conflict increase was significantly associated with younger age, lower education, and financial worry. CONCLUSION: Increases in domestic conflict were seen in certain vulnerable groups and in those who report financial worry. Policies ensuring financial stability, particularly early in the disaster conditions, could reduce domestic conflict during continued COVID-19 conditions or other disasters.

Americans' View of the Impact of COVID-19: Perspectives on Racial Impacts and Equity.

CONTEXT: The COVID-19 pandemic has had a disparate effect on African Americans and Latinos. But it is unknown how aware the public is of these differences and how the pandemic has changed perceptions of equity and access to health care. METHODS: We use panel data from nationally representative surveys fielded to the same respondents in 2018 and 2020 to assess views and changes in views over time. FINDINGS: We found that awareness of inequity is highest among Non-Hispanic Black respondents and higher-income and higher-educated groups, and there have been only small changes in perceptions of inequity over time. However, there have been significant changes in views of the government's obligation to ensure access to health care. CONCLUSIONS: Even in the face of a deadly pandemic, one that has killed disproportionately more African Americans and Latinos, many in the United States continue not to recognize that there are inequities in access to health care and the impact of COVID-19 on certain groups. But policies to address inequity may be shifting. We will continue to follow these respondents to see whether changes in attitudes endure over time or dissipate.

Mental associations with COVID-19 and how they relate with self-reported protective behaviors: A national survey in the United States.

RATIONALE: To understand novel diseases, patients may draw comparisons to other diseases. OBJECTIVE: We examined whether mentally associating specific diseases with COVID-19 was related to self-reported protective behaviors early in the pandemic. METHODS: In March 2020, a national sample of 6534 U.S. adults listed diseases that came to mind when thinking of COVID-19. They self-reported protective behaviors, demographics, and COVID-19 risk perceptions. RESULTS: Participants associated COVID-19 with common infectious diseases like seasonal influenza (59%), common cold (11%), and pneumonia (10%), or emergent infectious diseases like pandemic influenza (28%), SARS/MERS (27%), and Ebola (14%). Seasonal influenza was most commonly mentioned, in all demographic groups. Participants mentioning seasonal influenza or common cold reported fewer protective behaviors. Those mentioning pneumonia or emergent infectious diseases reported more protective behaviors. Mentioning pneumonia, SARS/MERS, and Ebola was associated with the most protective behaviors, after accounting for other generated diseases, demographics, and risk perceptions (e.g., for avoiding crowds, OR = 1.52, 95% CI = 1.26, 1.83; OR = 1.28, 95% CI = 1.13, 1.46; OR = 1.30, 95% CI = 1.11, 1.52, respectively). CONCLUSIONS: Early in the pandemic, most participants mentally associated COVID-19 with seasonal flu, which may have undermined willingness to protect themselves. To motivate behavior change, COVID-19 risk communications may need to mention diseases that resonate with people while retaining accuracy.

Drivers of differential views of health equity in the U.S.: is the U.S. ready to make progress? Results from the 2018 National Survey of Health Attitudes.

OBJECTIVES: The public health sector has long recognized the role of the social determinants of health in health disparities and the importance of achieving health equity. We now appear to be at an inflection point, as we hear increasing demands to dismantle structures that have perpetuated inequalities. Assessing prevailing mindsets about what causes health inequalities and the value of health equity is critical to addressing larger issues of inequity, including racial inequity and other dimensions. Using data from a nationally representative sample of adults in the United States, we examined the factors that Americans think drive health outcomes and their beliefs about the importance of health equity. METHODS: Using data from the 2018 National Survey of Health Attitudes, we conducted factor analyses of 21 survey items and identified three factors from items relating to health drivers-traditional health influencers (THI), social determinants of health (SDoH), and sense of community health (SoC). Health equity beliefs were measured with three questions about opportunities to be healthy. Latent class analysis identified four groups with similar patterns of response. Factor mixture modeling combined factor structure and latent class analysis into one model. We conducted three logistic regressions using latent classes and demographics as predictors and the three equity beliefs as dependent variables. RESULTS: Nearly 90% of respondents comprised one class that was characterized by high endorsement (i.e., rating the driver as having strong effect on health) of THI, but lower endorsement of SDoH and SoC. Logistic regressions showed that respondents endorsing (i.e., rated it as a top priority) all three health equity beliefs tended to be female, older, Black or Hispanic, more educated, and have lower incomes. The class of respondents that endorsed SDoH the most was more likely to endorse all three equity beliefs. CONCLUSIONS: Results suggested that people historically impacted by inequity, e.g., people of color and people with low incomes, had the most comprehensive understanding of the drivers of health and the value of equity. However, dominant beliefs about SDoH and health equity are still generally not aligned with scientific consensus and the prevailing narrative in the public health community.

Accounting for the burden and redistribution of health care costs: Who uses care and who pays for it.

OBJECTIVE: To measure the burden of financing health care costs and quantify redistribution among population groups. DATA SOURCES: A synthetic population using data combined from multiple sources, including the Survey of Income and Program Participation (SIPP), Medical Expenditure Panel Survey (MEPS), Kaiser Family Foundation (KFF)/Health Research Educational Trust (HRET) Employer Health Benefits Survey, American Community Survey (ACS), and National Health Expenditure Accounts (NHEA). STUDY DESIGN: We estimate two dollar amounts for each individual in the synthetic population: (a) payments to finance health care services, which includes all payments by a household and their employers to finance health care, including premiums, out-of-pocket payments, federal and state taxes, and other payments; and (b) the dollar value of health care services received, which equals the amount paid to providers for those services. DATA EXTRACTION METHODS: We linked the nationally representative survey data using statistical matching. We allocated health care expenditures from the NHEA to individuals and households based on expenditures reported in the MEPS. PRINCIPAL FINDINGS: We show that higher-income households pay the most to finance health care in dollar amounts, but the burden of payments as a share of income is greater among lower-income households. CONCLUSIONS: Accounting for all sources of payments provides a clear picture of the burden of financing health care costs, and how that burden is spread under our current financing system.

On the Need for Prospective Disaster Survey Panels.

Disasters are typically unforeseen, causing most social and behavioral studies about disasters to be reactive. Occasionally, predisaster data are available, for example, when disasters happen while a study is already in progress or where data collected for other purposes already exist, but planned pre-post designs are all but nonexistent. This gap fundamentally limits the quantification of disasters' human toll. Anticipating, responding to, and managing public reactions require a means of tracking and understanding those reactions, collected using rigorous scientific methods. Oftentimes, self-reports from the public are the best or only source of information, such as perceived risk, behavioral intentions, and social learning. Significant advancement in disaster research, to best inform practice and policy, requires well-designed surveys with large probability-based samples and longitudinal assessment of individuals across the life-cycle of a disaster and across multiple disasters.

Measuring Subjective Probabilities: The Effect of Response Mode on the Use of Focal Responses, Validity, and Respondents' Evaluations.

Subjective probabilities are central to risk assessment, decision making, and risk communication efforts. Surveys measuring probability judgments have traditionally used open-ended response modes, asking participants to generate a response between 0% and 100%. A typical finding is the seemingly excessive use of 50%, perhaps as an expression of "I don't know." In an online survey with a nationally representative sample of the Dutch population, we examined the effect of response modes on the use of 50% and other focal responses, predictive validity, and respondents' survey evaluations. Respondents assessed the probability of dying, getting the flu, and experiencing other health-related events. They were randomly assigned to a traditional open-ended response mode, a visual linear scale ranging from 0% to 100%, or a version of that visual linear scale on which a magnifier emerged after clicking on it. We found that, compared to the open-ended response mode, the visual linear and magnifier scale each reduced the use of 50%, 0%, and 100% responses, especially among respondents with low numeracy. Responses given with each response mode were valid, in terms of significant correlations with health behavior and outcomes. Where differences emerged, the visual scales seemed to have slightly better validity than the open-ended response mode. Both high-numerate and low-numerate respondents' evaluations of the surveys were highest for the visual linear scale. Our results have implications for subjective probability elicitation and survey design.

You can be too thin (but not too tall): Social desirability bias in self-reports of weight and height.

Previous studies of survey data from the U.S. and other countries find that women tend to understate their body weight on average, while both men and women overstate their height on average. Social norms have been posited as one potential explanation for misreporting of weight and height, but lack of awareness of body weight has been suggested as an alternative explanation, and the evidence presented to date is inconclusive. This paper is the first to offer a theoretical model of self-reporting behavior for weight and height, in which individuals face a tradeoff between reporting an accurate weight (or height) and reporting a socially desirable weight (or height). The model generates testable implications that help us to determine whether self-reporting errors arise because of social desirability bias or instead reflect lack of awareness of body weight and/or other factors. Using data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010, we find that self-reports of weight offer robust evidence of social desirability bias. However, lack of awareness of weight may also contribute to self-reporting biases, and this factor appears to be more important within some demographic groups than others. Among both women and men, self-reports of height exhibit significant social desirability bias only among those of below-average height, and very few individuals underreport their height. Implied self-reports of BMI exhibit gender-specific patterns similar to those observed for self-reporting of weight, and the inferred social norms for BMI (20.8 for women and 24.8 for men) are within the "normal" range established by public health institutions. Determining why individuals misreport their weight has important implications for survey design as well as for clinical practice. For example, our findings suggest that health care providers might take additional steps to increase self-awareness of body weight. The framework also helps to explain previous findings that the degree of self-reporting bias in weight is stronger in telephone surveys than it is in in-person surveys.

Building a National Culture of Health: Background, Action Framework, Measures, and Next Steps.

Because health is a function of more than medical care, solutions to U.S. health problems must encompass more than reforms to health care systems. But those working to improve health, well-being, and equity still too often find themselves traveling on parallel paths that rarely intersect. In 2013, the Robert Wood Johnson Foundation (RWJF) embarked on a pioneering effort to advance a Culture of Health initiative. A Culture of Health places well-being at the center of every aspect of life, with the goal of enabling everyone in our diverse society to lead healthier lives, now and for generations to come. To put this vision into action, RWJF worked with RAND to develop an action framework that identifies how the nation will work toward achieving these outcomes. This article provides background on the development of this action framework. The Culture of Health action framework is designed around four action areas and one outcome area. Action areas are the core areas in which investment and activity are needed: (1) making health a shared value; (2) fostering cross-sector collaboration to improve well-being; (3) creating healthier, more equitable communities; and (4) strengthening integration of health services and systems. Each action area contains a set of drivers indicating where the United States needs to accelerate change and a set of measures illustrating places for progress. Within the primary Culture of Health outcome---improved population health, well-being, and equity---the authors identified three outcome areas: enhanced individual and community well-being, managed chronic disease and reduced toxic stress, and reduced health care costs.

Knowledge as a Predictor of Insurance Coverage Under the Affordable Care Act.

BACKGROUND: The Affordable Care Act established policy mechanisms to increase health insurance coverage in the United States. While insurance coverage has increased, 10%-15% of the US population remains uninsured. OBJECTIVES: To assess whether health insurance literacy and financial literacy predict being uninsured, covered by Medicaid, or covered by Marketplace insurance, holding demographic characteristics, attitudes toward risk, and political affiliation constant. RESEARCH DESIGN: Analysis of longitudinal data from fall 2013 and spring 2015 including financial and health insurance literacy and key covariates collected in 2013. SUBJECTS: A total of 2742 US residents ages 18-64, 525 uninsured in fall 2013, participating in the RAND American Life Panel, a nationally representative internet panel. MEASURES: Self-reported health insurance status and type as of spring 2015. RESULTS: Among the uninsured in 2013, higher financial and health insurance literacy were associated with greater probability of being insured in 2015. For a typical uninsured individual in 2013, the probability of being insured in 2015 was 8.3 percentage points higher with high compared with low financial literacy, and 9.2 percentage points higher with high compared with low health insurance literacy. For the general population, those with high financial and health insurance literacy were more likely to obtain insurance through Medicaid or the Marketplaces compared with being uninsured. The magnitude of coefficients for these predictors was similar to that of commonly used demographic covariates. CONCLUSIONS: A lack of understanding about health insurance concepts and financial illiteracy predict who remains uninsured. Outreach and consumer-education programs should consider these characteristics.

Strengthening Integration Of Health Services And Systems.

New care delivery models that hold providers more accountable for coordinated, high-quality care and the overall health of their patients have appeared in the US health care system, spurred by recent legislation such as the Affordable Care Act. These models support the integration of health care systems, but maximizing health and well-being for all individuals will require a broader conceptualization of health and more explicit connections between diverse partners. Integration of health services and systems constitutes the fourth Action Area in the Robert Wood Johnson Foundation's Culture of Health Action Framework, which is the subject of this article. This Action Area conceives of a strengthened health care system as one in which medical care, public health, and social services interact to produce a more effective, equitable, higher-value whole that maximizes the production of health and well-being for all individuals. Three critical drivers help define and advance this Action Area and identify gaps and needs that must be addressed to move forward. These drivers are access, balance and integration, and consumer experience and quality. This article discusses each driver and summarizes practice gaps that, if addressed, will help move the nation toward a stronger and more integrated health system.

Does Financial Literacy Contribute to Food Security?

Food insecurity, not having consistent access to adequate food for active, healthy lives for all household members, is most common among low income households. However, income alone is not sufficient to explain who experiences food insecurity. This study investigates the relationship between financial literacy and food security. We find that low income households who exhibit financial literacy are less likely to experience food insecurity.

Insurance Transitions Following the First ACA Open Enrollment Period.

While most of the Affordable Care Act's (ACA's) coverage-related provisions took effect in January 2014, there is limited information on insurance transitions that occurred in the period before and after these changes became operational. In Insurance Transitions Following the First ACA Open Enrollment Period, the authors examine insurance transitions between September 2013 and November 2014 using longitudinal data from the RAND Health Reform Opinion Study, a part of the RAND American Life Panel (ALP). The ALP includes 2,953 respondents-ages 18 to 64, in a population-based sample-who were approached to participate in this data collection. Out of the 2,953 individuals, 2,329 (79 percent) responded in September 2013, and 1,972 (67 percent) responded in November 2014; 1,636 (55 percent) responded in both months, and 1,628 (55 percent) provided clear information about their source of insurance. The authors report the type of coverage people had before the law's major provisions took effect (September 2013) and at the end of the Marketplace enrollment year (November 2014). They estimate that 20.4 million nonelderly adults became newly insured and 7.4 million lost coverage, for a net increase of 12.9 million between September 2013 and November 2014. Among those previously uninsured, most (7.5 million) enrolled in Medicaid, followed by employer plans (7.3 million), the Marketplaces (3.1 million), and other insurance sources. Among those losing coverage, most (3.4 million) lost employer coverage, with the remaining insurance losses spread across a variety of coverage sources. The authors estimate that 7.6 million people enrolled in Marketplace plans; this includes the 3.1 million people who became newly insured in Marketplace plans and another 4.5 million people who transitioned to Marketplace plans from another coverage source. The majority of those insured at baseline (81 percent) experienced no change in source of coverage during the study period, suggesting that disruption from the law has been limited. The majority of Americans continue to be enrolled in employer coverage, and more gained coverage in employer plans than through the ACA's Marketplaces. These findings suggest that the ACA is expanding coverage through a variety of insurance sources, perhaps because the individual mandate is encouraging people to take up insurance offers that they might otherwise have declined.

Methodology of the RAND Health Reform Opinion Study.

The Affordable Care Act has already and will continue to lead to significant changes in health insurance coverage. Understanding insurance transitions is critical to evaluating the success of the reform and to identifying opportunities for improvement. The RAND Health Reform Opinion Study uses the American Life Panel to study transitions in health insurance enrollment from 2013 through 2015. Methodology of the RAND Health Reform Opinion Study provides a description of the methodology the authors use to track health insurance choices between November 2014 and December 2015.

Preparedness of Americans for the Affordable Care Act.

This paper investigates whether individuals are sufficiently informed to make reasonable choices in the health insurance exchanges established by the Affordable Care Act (ACA). We document knowledge of health reform, health insurance literacy, and expected changes in healthcare using a nationally representative survey of the US population in the 5 wk before the introduction of the exchanges, with special attention to subgroups most likely to be affected by the ACA. Results suggest that a substantial share of the population is unprepared to navigate the new exchanges. One-half of the respondents did not know about the exchanges, and 42% could not correctly describe a deductible. Those earning 100-250% of federal poverty level (FPL) correctly answered, on average, 4 out of 11 questions about health reform and 4.6 out of 7 questions about health insurance. This compares with 6.1 and 5.9 correct answers, respectively, for those in the top income category (400% of FPL or more). Even after controlling for potential confounders, a low-income person is 31% less likely to score above the median on ACA knowledge questions, and 54% less likely to score above the median on health insurance knowledge than a person in the top income category. Uninsured respondents scored lower on health insurance knowledge, but their knowledge of ACA is similar to the overall population. We propose that simplified options, decision aids, and health insurance product design to address the limited understanding of health insurance contracts will be crucial for ACA's success.

Changes in Health Insurance Enrollment Since 2013: Evidence from the RAND Health Reform Opinion Study.

RAND's Health Reform Opinion Study (HROS) allows for an estimation of how many people have become enrolled in all sources of health care coverage since the implementation of the Affordable Care Act (ACA). The HROS is conducted using the RAND American Life Panel, a nationally representative panel of individuals who regularly participate in surveys; this particular analysis, is focused on respondents age 18-64. In addition to asking them about their opinions of the ACA, each month RAND collected information about enrollment in health insurance, including employer-sponsored insurance (ESI), Medicaid, Medicare, insurance purchased on a marketplace, and other insurance purchased on the individual market. This detailed information about insurance coverage combined with the fact that the same individuals were surveyed each month provides a unique ability to track how insurance coverage has changed since the major health insurance coverage provisions of the ACA took effect on January 1, 2014. The analysis presented here examines changes in health insurance enrollment between September 2013 and March 2014; overall, the authors estimate that 9.3 million more people have health care coverage in March 2014, lowering the uninsured rate from 20.5 percent to 15.8 percent. This increase in coverage is driven not only by enrollment in health insurance marketplace plans, but also by gains in ESI and Medicaid. Enrollment in ESI plans increased by 8.2 million and Medicaid enrollment increased by 5.9 million, although some individuals did lose coverage during this period. The authors also found that 3.9 million people are now covered through the state and federal marketplaces-the so-called insurance exchanges-and less than 1 million people who previously had individual-market insurance became uninsured during the period in question. While the survey cannot tell if this latter group lost their insurance due to cancellation or because they simply felt the cost was too high, the overall number is very small, representing less than 1 percent of people between the ages of 18 and 64.