Urban HEART Detroit: the Application of a Health Equity Assessment Tool.

The Urban Health Assessment Response Tool (Urban HEART) was developed by the World Health Organization. In 2016, the Urban HEART was adapted and used by the Healthy Environments Partnership, a long-standing community-based participatory research partnership focused on addressing social determinants of health in Detroit, Michigan, to identify health equity gaps in the city. This paper uses the tool to: (1) examine the geographic distributions of key determinants of health in Detroit, across the five Urban HEART specified domains: physical environment and infrastructure, social and human development, economics, governance, and population health, and (2) determine whether these indicators are associated with the population health indicators at the neighborhood level. In addition to the Urban HEART matrix, we developed various tools including graphs and maps to further examine Detroit's health equity gaps. Although not required by Urban HEART, we statistically analyzed the associations between each indicator with the health outcomes. Our results showed that all the domains contained one or more indicators associated with one or more health outcomes, making this an effective tool to study health equity in Detroit. The Urban HEART Detroit project comes at a critical time where the nation is focusing on health equity and understanding underlying determinants of health inequities in urban areas. A tool like Urban HEART can help identify these areas for rapid intervention to prevent unnecessary burden from disease. We recommend the application of the Urban HEART, in active dialog with community groups, organizations, and leaders, to promote health equity.

Urban HEART Detroit: a Tool To Better Understand and Address Health Equity Gaps in the City.

The Urban Health Equity Assessment Response Tool (Urban HEART) combines statistical evidence and community knowledge to address urban health inequities. This paper describes the process of adopting and implementing this tool for Detroit, Michigan, the first city in the USA to use it. The six steps of Urban HEART were implemented by the Healthy Environments Partnership, a community-based participatory research partnership made up of community-based organizations, health service providers, and researchers based in academic institutions. Local indicators and benchmarks were identified and criteria established to prioritize a response plan. We examine how principles of CBPR influenced this process, including the development of a collaborative and equitable process that offered learning opportunities and capacity building among all partners. For the health equity matrix, 15 indicators were chosen within the Urban HEART five policy domains: physical environment and infrastructure, social and human development, economics, governance, and population health. Partners defined the criteria and ranked them for use in assessing and prioritizing health equity gaps. Subsequently, partners generated a series of potential actions for indicators prioritized in this process. Engagement of community partners contributed to benchmark selection and modification, and provided opportunities for dialog and co-learning throughout the process. Application of a CBPR approach provided a foundation for engagement of partners in the Urban HEART process of identifying health equity gaps. This approach offered multiple opportunities for discussion that shaped interpretation and development of strategies to address identified issues to achieve health equity.

Air exchange rates and migration of VOCs in basements and residences.

UNLABELLED: Basements can influence indoor air quality by affecting air exchange rates (AERs) and by the presence of emission sources of volatile organic compounds (VOCs) and other pollutants. We characterized VOC levels, AERs, and interzonal flows between basements and occupied spaces in 74 residences in Detroit, Michigan. Flows were measured using a steady-state multitracer system, and 7-day VOC measurements were collected using passive samplers in both living areas and basements. A walk-through survey/inspection was conducted in each residence. AERs in residences and basements averaged 0.51 and 1.52/h, respectively, and had strong and opposite seasonal trends, for example, AERs were highest in residences during the summer, and highest in basements during the winter. Airflows from basements to occupied spaces also varied seasonally. VOC concentration distributions were right-skewed, for example, 90th percentile benzene, toluene, naphthalene, and limonene concentrations were 4.0, 19.1, 20.3, and 51.0 µg/m(3), respectively; maximum concentrations were 54, 888, 1117, and 134 µg/m(3). Identified VOC sources in basements included solvents, household cleaners, air fresheners, smoking, and gasoline-powered equipment. The number and type of potential VOC sources found in basements are significant and problematic, and may warrant advisories regarding the storage and use of potentially strong VOCs sources in basements. PRACTICAL IMPLICATIONS: Few IAQ studies have examined basements. A sizable volume of air can flow between the basement and living area, and AERs in these two zones can differ considerably. In many residences, the basement contains significant emission sources and contributes a large fraction of VOC concentrations found in the living area. Exposures can be lowered by removing VOC sources from the basement; other exposure management options, such as local ventilation or isolation, are unlikely to be practical.

Particulate matter concentrations in residences: an intervention study evaluating stand-alone filters and air conditioners.

UNLABELLED: This study, a randomized controlled trial, evaluated the effectiveness of free-standing air filters and window air conditioners (ACs) in 126 low-income households of children with asthma. Households were randomized into a control group, a group receiving a free-standing HEPA filter placed in the child's sleeping area, and a group receiving the filter and a window-mounted AC. Indoor air quality (IAQ) was monitored for week-long periods over three to four seasons. High concentrations of particulate matter (PM) and carbon dioxide were frequently seen. When IAQ was monitored, filters reduced PM levels in the child's bedroom by an average of 50%. Filter use varied greatly among households and declined over time, for example, during weeks when pollutants were monitored, filter use was initially high, averaging 84±27%, but dropped to 63±33% in subsequent seasons. In months when households were not visited, use averaged only 34±30%. Filter effectiveness did not vary in homes with central or room ACs. The study shows that measurements over multiple seasons are needed to characterize air quality and filter performance. The effectiveness of interventions using free-standing air filters depends on occupant behavior, and strategies to ensure filter use should be an integral part of interventions. PRACTICAL IMPLICATIONS: Environmental tobacco smoke (ETS) increased particulate matter (PM) levels by about 14 µg/m3 and was often detected using ETS-specific tracers despite restrictions on smoking in the house as reported on questionnaires administered to caregivers. PM concentrations depended on season, filter usage, relative humidity, air exchange ratios, number of children, outdoor PM levels, sweeping/dusting, and presence of a central air conditioner (AC). Free-standing air filters can be an effective intervention that provides substantial reductions in PM concentrations if the filters are used. However, filter use was variable across the study population and declined over the study duration, and thus strategies are needed to encourage and maintain use of filters. The variability in filter use suggests that exposure misclassification is a potential problem in intervention studies using filters. The installation of a room AC in the bedroom, intended to limit air exchange ratios, along with an air filter, did not lower PM levels more than the filter alone.