Journal of urban health : bulletin of the New York Academy of Medicine
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Area-level indicators of the determinants of health are vital to plan and monitor progress toward targets such as the Sustainable Development Goals (SDGs). Tools such as the Urban Health Equity Assessment and Response Tool (Urban HEART) and UN-Habitat Urban Inequities Surveys identify dozens of area-level health determinant indicators that decision-makers can use to track and attempt to address population health burdens and inequalities. However, questions remain as to how such indicators can be measured in a cost-effective way. ⋯ This paper aims to broaden perceptions about which types of datasets are available for health and development decision-making. For data scientists, we flag area-level indicators at city and sub-city scales identified by health decision-makers in the SDGs, Urban HEART, and other initiatives. For local health decision-makers, we summarize a menu of new datasets that can be feasibly generated from EO, mobile phone, and other spatial data-ideally to be made free and publicly available-and offer lay descriptions of some of the difficulties in generating such data products.
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Approximately 25 million people in the United States are limited English proficient (LEP). Appropriate language services can improve care for LEP individuals, and health care facilities receiving federal funds are required to provide such services. Recognizing the risk of inadequate comprehension of prescription medication instructions, between 2008 and 2012, New York City and State passed a series of regulations that require chain pharmacies to provide translated prescription labels and other language services to LEP patients. ⋯ Our findings demonstrate a significant improvement in capacity of chains to assist LEP patients. A higher proportion of chain pharmacies surveyed in 2015 reported printing translated labels, access and use of telephone interpreter services, multilingual signage, and documentation of language needs in patient records. These findings illustrate the potential impact of policy changes on institutional practices that impact large and vulnerable portions of the population.
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In the last two decades, urbanization has intensified, and in Brazil, about 90% of the population now lives in urban centers. Atmospheric patterns have changed owing to the high growth rate of cities, with negative consequences for public health. This research aims to elucidate the spatial patterns of air pollution and respiratory diseases. ⋯ Preliminary results describe relevant relations among morbidity scales, air pollution levels, and atmospheric seasonal patterns. The knowledge gathered here contributes to the debate on social issues and public policies. Moreover, the results of this smaller scale study can be extended to megacities.
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Slum dweller youth in Kampala, Uganda, face social economic exclusion and a plethora of health risks, and their needs are poorly understood. The aim of the current study was to analyze their needs and to suggest contextual evidence-based solutions to improve their well-being sustainably. We conducted a qualitative study involving 10 focus group discussions (FGDs; N = 113) and 20 key informant (KII) interviews. ⋯ The societal-level factors were poor sexual and reproductive health services, and an extremely weak labor market. The needs of slum dweller youth in Kampala, Uganda, remain unaddressed, and leaving such a large population economically unproductive and dissatisfied with life is a recipe for political instability and insecurity. Interventions to address their needs need to adopt a whole-community approach in order to engage and empower all parts of the slum community and strengthen community structures that improve livelihoods and harness the opportunities that engender income fortification and socio-civic transformation for the youth.