The Coronavirus disease 19 (COVID-19) pandemic has disrupted both transportation and health systems. While about 40% of Americans have delayed seeking medical care during the pandemic, it remains unclear to what extent transportation is contributing to missed care. To understand the relationship between transportation and unmet health care needs during the pandemic, this paper synthesizes existing knowledge on transportation patterns and barriers across five types of health care needs. While the literature is limited by the absence of detailed data for trips to health care, key themes emerged across populations and settings. We find that some patients, many of whom already experience transportation disadvantage, likely need extra support during the pandemic to overcome new travel barriers related to changes in public transit or the inability to rely on others for rides. Telemedicine is working as a partial substitute for some visits but cannot fulfill all health care needs, especially for vulnerable groups. Structural inequality during the pandemic has likely compounded health care access barriers for low-income individuals and people of color, who face not only disproportionate health risks, but also greater difficulty in transportation access and heightened economic hardship due to COVID-19. Partnerships between health and transportation systems hold promise for jointly addressing disparities in health- and transportation-related challenges but are largely limited to Medicaid-enrolled patients. Our findings suggest that transportation and health care providers should look for additional strategies to ensure that transportation access is not a reason for delayed medical care during and after the COVID-19 pandemic.

The effect of income inequality on health may work through the influence of invidious social comparisons (particularly among white subjects) and (among black subjects and Latinos) through a reduction in social capital. Researchers may find it fruitful to recognise the cultural specificity of any such effects.

The COVID-19 pandemic and associated economic crisis have placed millions of U.S. households at risk of eviction. Evictions may accelerate COVID-19 transmission by decreasing individuals’ ability to socially distance. We leveraged variation in the expiration of eviction moratoriums in U.S. states to test for associations between evictions and COVID-19 incidence and mortality. The study included 44 U.S. states that instituted eviction moratoriums, followed from March 13th to September 3rd, 2020. We modeled associations using a difference-in-difference approach with an event-study specification. Negative-binomial-regression models of cases and deaths included fixed effects for state and week and controlled for time-varying indicators of testing, stay-at-home orders, school closures, and mask mandates. COVID-19 incidence and mortality increased steadily in states after eviction moratoriums expired, and were associated with doubling of COVID-19 incidence (incidence rate ratio 2.1; 95% confidence interval (CI) 1.1,3.9) and a five-fold increase in COVID-19 mortality (mortality rate ratio 5.4; CI 3.1,9.3) 16 weeks after moratoriums lapsed. These results imply an estimated 433,700 excess cases (CI 365200, 502200) and 10,700 excess deaths (CI 8900,12500) nationally by September 3, 2020. The expiration of eviction moratoriums was associated with increased COVID-19 incidence and mortality, supporting the public-health rationale for eviction prevention to limit COVID-19 cases and deaths.

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BACKGROUND AND OBJECTIVES: Screen media overuse is associated with negative physical and mental health effects in children. The American Academy of Pediatrics recommends limiting screen media use at home; however, there are no similar guidelines for children’s hospitals. This study was conducted to explore caregiver (parent or other guardian) perceptions about screen media use, compare at-home with in-hospital screen media use, and measure screen use among hospitalized children. METHODS: We obtained data from a convenience cohort of hospitalized children at a single, comprehensive tertiary care children’s hospital over 3 periods of 2 weeks each from 2013 to 2014. Home and hospital screen media use was measured through survey and study personnel directly observed hospital screen use. Descriptive statistics are reported and generalized estimating equation was used to identify characteristics associated with screen media use. RESULTS: Observation (n = 1490 observations) revealed screen media on 80.3% of the time the hospitalized child was in the room and awake, and 47.8% of observations with direct attention to a screen. Surveyed caregivers reported their child engaging in significantly more screen media use in the hospital setting as compared with home, and 42% of caregivers reported the amount of screen time used by their child in the hospital was more than they would have liked. CONCLUSIONS: Hospitalized children have access to a variety of screen media, and this media is used at rates far higher than recommended by the American Academy of Pediatrics. Children’s hospitals should consider developing guidelines for screen media use.