Systematic Review of Active Travel to School Surveillance in the United States and Canada.

Active travel to school is one way youths can incorporate physical activity into their daily schedule. It is unclear the extent to which active travel to school is systematically monitored at local, state, or national levels. To determine the scope of active travel to school surveillance in the US and Canada and catalog the types of measures captured, we conducted a systematic review of peer-reviewed literature documenting active travel to school surveillance published from 2004 to February 2018. A study was included if it addressed children's school travel mode across two or more time periods in the US or Canada. Criteria were applied to determine whether a data source was considered an active travel to school surveillance system. We identified 15 unique data sources; 4 of these met our surveillance system criteria. One system is conducted in the US, is nationally representative, and occurs every 5-8 years. Three are conducted in Canada, are limited geographically to regions and provinces, and are administered with greater frequency (e.g., 2-year cycles). School travel mode was the primary measure assessed, most commonly through parent report. None of the systems collected data on school policies or program supports related to active travel to school. We concluded that incorporating questions related to active travel to school behaviors into existing surveillance systems, as well as maintaining them over time, would enable more consistent monitoring. Concurrently capturing behavioral information along with related environmental, policy, and program supports may inform efforts to promote active travel to school.

Role of hospitals in addressing social determinants of health: A groundwater approach.

Adverse social determinants of health, such as unequal access to health care, lack of educational opportunities, and food insecurity are noted for shaping health disparities across race, ethnicity, and geographic context. Underlying racial discriminatory practices and policies catalyze and reinforce these disparities. Health care and academic medicine leaders must consider adopting strategies and programs that target health-related social needs by addressing underlying structural racism that shapes the uneven distribution of adverse social determinants. We present a groundwater allegory from the Racial Equity Institute to describe how leaders can leverage hospitals' role as anchor institutions within communities to ensure that the communities they serve have equitable resources and opportunities to improve their health. We describe how hospitals-through their economic power, policy influence, and wealth of data-can advance health equity through policies and practices that move beyond the individual level health-related social needs to change local social, political, and economic structural conditions that create disparities. We depict three potential ways for hospitals, by embracing their role as anchor institutions within communities, to address the groundwater conditions that have the most significant impact on community health.

Centering Equity and Community in the Recovery of the COVID-19 Pandemic.

The COVID-19 pandemic has exposed socioeconomic, geographic, and medical vulnerabilities in our country. In North Carolina, inequalities resulting from centuries of structural racism exacerbate disparate impacts of infection and death. We propose three opportunities that leaders in our state can embrace to move toward equity as we weather, and emerge from, this pandemic.

Systematic Review of Active Travel to School Surveillance in the United States and Canada.

Active travel to school is one way youths can incorporate physical activity into their daily schedule. It is unclear the extent to which active travel to school is systematically monitored at local, state, or national levels. To determine the scope of active travel to school surveillance in the US and Canada and catalog the types of measures captured, we conducted a systematic review of peer-reviewed literature documenting active travel to school surveillance published from 2004 to February 2018. A study was included if it addressed children's school travel mode across two or more time periods in the US or Canada. Criteria were applied to determine whether a data source was considered an active travel to school surveillance system. We identified 15 unique data sources; 4 of these met our surveillance system criteria. One system is conducted in the US, is nationally representative, and occurs every 5-8 years. Three are conducted in Canada, are limited geographically to regions and provinces, and are administered with greater frequency (e.g., 2-year cycles). School travel mode was the primary measure assessed, most commonly through parent report. None of the systems collected data on school policies or program supports related to active travel to school. We concluded that incorporating questions related to active travel to school behaviors into existing surveillance systems, as well as maintaining them over time, would enable more consistent monitoring. Concurrently capturing behavioral information along with related environmental, policy, and program supports may inform efforts to promote active travel to school.

Innovative health care mobility services in the US.

BACKGROUND: Transportation barriers prevent millions of people from accessing health care each year. Health policy innovations such as shared savings payment models (commonly used in accountable care organizations) present financial incentives for providers to offer patient transportation to medical care. Meanwhile, ridesourcing companies like Uber and Lyft have entered the market to capture a significant share of spending on non-emergency health care transportation. Our research examines the current landscape of innovative health care mobility services in the US. METHODS: We conducted an environmental scan to identify case examples of utilization of ridesourcing technology to facilitate non-emergency health care transportation and developed a typology of innovative health care mobility services. The scan used a keyword-based search of news publications with inductive analysis. For each instance identified, we abstracted key information including: stakeholders, launch date, transportation provider, location/service area, payment/booking method, target population, level of service, and any documented outcomes. RESULTS: We discovered 53 cases of innovation and among them we identified three core types of innovation or collaboration. The first and most common type of innovation is when a health care provider leverages ridesourcing technology to book patient trips. This involves both established and nascent transportation companies tailoring the ridesourcing experience to the health care industry by adding HIPAA-compliance to the booking process. The second type of innovation involves an insurer or health plan formally partnering with a ridesourcing company to expand transportation offerings to beneficiaries or offer these services for the first time. The third type of innovation is when a paratransit provider partners with a ridesourcing company; these cases cite increased flexibility and reliability of ridesourcing services compared to traditional paratransit. CONCLUSIONS: Ridesourcing options are becoming a part of the mode choice set for patients through formal partnerships between ridesourcing companies, health care providers, insurers, and transit agencies. The on-demand nature of rides, booking flexibility, and integration of ride requests and payment options via electronic medical records appear to be the strongest drivers of this innovation.

Transportation Barriers to Health Care in the United States: Findings From the National Health Interview Survey, 1997-2017.

Objectives. To quantify the number of people in the US who delay medical care annually because of lack of available transportation and to examine the differential prevalence of this barrier for adults across sociodemographic characteristics and patient populations.Methods. We used data from the National Health Interview Survey (1997-2017) to examine this barrier over time and across groups. We used joinpoint regression analysis to identify significant changes in trends and multivariate analysis to examine correlates of this barrier for the year 2017.Results. In 2017, 5.8 million persons in the United States (1.8%) delayed medical care because they did not have transportation. The proportion reporting transportation barriers increased between 2003 and 2009 with no significant trends before or after this window within our study period. We found that Hispanic people, those living below the poverty threshold, Medicaid recipients, and people with a functional limitation had greater odds of reporting a transportation barrier after we controlled for other sociodemographic and health characteristics.Conclusions. Transportation barriers to health care have a disproportionate impact on individuals who are poor and who have chronic conditions. Our study documents a significant problem in access to health care during a time of rapidly changing transportation technology.

Impact of School Location on Children's Air Pollution Exposure.

The role of school location in children's air pollution exposure and ability to actively commute is a growing policy issue. Well-documented health impacts associated with near-roadway exposures have led school districts to consider school sites in cleaner air quality environments requiring school bus transportation. We analyze children's traffic-related air pollution exposure across an average Detroit school day to assess whether the benefits of reduced air pollution exposure at cleaner school sites are eroded by the need to transport students by bus or private vehicle. We simulated two school attendance scenarios using modeled hourly pollutant concentrations over the school day to understand how air pollution exposure may vary by school location and commute mode. We found that busing children from a high-traffic neighborhood to a school 19 km away in a low-traffic environment resulted in average daily exposures 2 to 3 times higher than children walking to a local school. Health benefits of siting schools away from high-volume roadways may be diminished by pollution exposure during bus commutes. School districts cannot simply select sites with low levels of air pollution, but must carefully analyze tradeoffs between location, transportation, and pollution exposure.

Association Between Neighborhood Social Environment and Children's Independent Mobility.

BACKGROUND: Independent travel among youth has diminished and rates of obesity have increased. It remains empirically unclear what factors influence the degree to which parents allow, or even enable, their children to be independently mobile. We analyze the association between parental perceptions of the social environment and the degree of independent mobility among children. METHODS: Surveys were conducted with 305 parents of 10- to 14-year-olds in the Bay Area during 2006 and 2007. The social environment was measured with scales assessing parental perceptions of child-centered social control, intergenerational closure, social cohesion, and safety from crime and traffic. Independent mobility was measured as a composite variable reflecting the degree to which a child is allowed to do the following without adult accompaniment: travel to neighborhood destinations, walk around the neighborhood, cross main roads, and ride transit. RESULTS: We find modest evidence of an association between parental perceptions of social cohesion and safety from traffic and independent mobility outcomes among children. Age is positively associated with increased independent mobility and Hispanic children experience greater restrictions on independent mobility. CONCLUSIONS: Interventions aimed at increasing physical activity among children through greater independent mobility should include neighborhood-level efforts to grow social cohesion and trust.

A prospective analysis of the effect of neighbourhood and individual social capital on changes in self-rated health of people with chronic illness.

BACKGROUND: Social capital in the living environment, both on the individual and neighbourhood level, is positively associated with people's self-rated health; however, prospective and longitudinal studies are rare, making causal conclusions difficult. To shed more light on the direction of the relationship between social capital and self-rated health, we investigated main and interaction effects of individual and neighbourhood social capital at baseline on changes in self-rated health of people with a somatic chronic disease. METHODS: Individual social capital, self-rated health and other individual level variables were assessed among a nationwide sample of 1048 non-institutionalized people with a somatic chronic disease residing in 259 neighbourhoods in the Netherlands. The assessment of neighbourhood social capital was based on data from a nationwide survey among the general Dutch population. The association of social capital with changes in self-rated health was assessed by multilevel regression analysis. RESULTS: Both individual social capital and neighbourhood social capital at baseline were significantly associated with changes in self-rated health over the time period of 2005 to 2008 while controlling for several disease characteristics, other individual level and neighbourhood level characteristics. No significant interactions were found between social capital on the individual and on the neighbourhood level. CONCLUSIONS: Higher levels of individual and neighbourhood social capital independently and positively affect changes in self-rated health of people with chronic illness. Although most of the variation in health is explained at the individual level, one's social environment should be considered as a possible relevant influence on the health of the chronically ill.

Green space and changes in self-rated health among people with chronic illness.

This prospective study analyses change in self-rated health of chronically ill people in relation to green space in their living environment at baseline. Data on 1112 people in the Netherlands with one or more medically diagnosed chronic disease(s) were used. The percentage of green space was calculated for postal code area. Multilevel linear regression analysis was conducted. We found no relationship between green space and change in health; however, an unexpected relationship between social capital at baseline and health change was discovered.