Journal of Urban Health

Several health plants and other organizations are collaborating with the Centers for Disease Control and Prevention to develop a syndromic surveillance system with national coverage that includes more than 20 million people. A principal design feature of this system is reliance on daily reporting of counts of individuals with syndromes of interest in specified geographic regions rather than reporting of individual encounter-level information. On request from public health agencies, health plans and telephone triage services provide additional information regarding individuals who are part of apparent clusters of illness. This reporting framework has several advantages, including less sharing of protected health information, less risk that confidential information will be distributed inappropriately, the prospect of better public acceptance, greater acceptance by health plans, and less effort and cost for both health plans and public health agencies. If successful, this system will allow any organization with appropriate data to contribute vital information to public health syndromic surveillance systems while preserving individuals’ privacy to the greatest extent possible.

Injection drug users (IDUs) are at risk for acquiring human immunodeficiency virus (HIV) through parenteral and sexual transmission. In this paper, we describe the prevalence and correlates of unsafe drug injecting and sexual behaviors among IDUs recruited across five cities in Georgia in 2009. IDUs were administered a questionnaire collecting information on demographics, drug use, sexual behaviors, and HIV testing behaviors. Correlates of risky injecting and sexual behaviors were determined using logistic regression. Of 1,127 IDUs, the majority (98.7%) were men, and the median duration of injecting drugs was 7 years. Unsafe injecting behavior at last injection was reported by 51.9% of IDUs, while 16.8% reported both unsafe injecting behavior and not using condoms with last occasional and/or commercial partner. In the multivariate analysis, independent correlates of unsafe injecting behavior at last injection were types of drugs injected [p = 0.0096; (for ephedrine, adjusted odds ratio (aOR) = 7.38; 95% CI, 1.50–36.26)] and not using condoms at last commercial sex (aOR = 2.29, 1.22–4.32). The following variables were significantly associated with unsafe injecting behavior at last injection and not using condoms at last sex with commercial and/or occasional partners in the multivariate analysis: marital status [p = 0.0002; (for divorced, widowed, and separated aOR = 2.62, 1.62–4.25; for single aOR = 1.61, 1.08–2.39)], being a member of a regular injecting group (aOR = 0.62, 0.44–0.88), types of drugs injected in the past month [p = 0.0024; (for buprenorphine aOR = 0.34, 0.18–0.63)], city of residence (p = 0.0083), and not receiving information on HIV (aOR = 1.82, 1.07–3.09). Though only ephedrine was injected by a smaller number of IDUs (9.1%), the vast majority of these (81.4%) reported unsafe injecting practices at last injection. High prevalence of unsafe injecting behaviors and diverse and at-risk sexual partnerships highlight the need to implement complex and targeted HIV interventions among IDUs in Georgia.

The findings of Dr. Fullilove, as well as the success of Zap Asthma and the campaign against lead poisoning, are strong arguments against all three of the mind-sets mentioned above. They show that urban deterioration is largely a product of economic forces, not of some moral failure of urban residents, and that money spent on improving an urban environment has the collateral effect of giving residents the sense of hope and optimism and the feeling that they area contributing to their health, which will make them better stewards of that environment. They show the importance of tapping into the energy and interests of the community, while at the same time addressing political resistance to helping disadvantaged communities. They show that progress takes time, and that successful programs try to improve an existing community rather than making it over at once. They show that urban problems are manageable. And, they show that community groups and outside agencies can accomplish a great deal by working together and putting aside the parochial differences and mutual mistrust that grow out of the Alamo syndrome.

Stroke exerts a massive burden on the US health and economy. Place-based evidence is increasingly recognized as a critical part of stroke management, but identifying the key determinants of neighborhood stroke prevalence and the underlying effect mechanisms is a topic that has been treated sparingly in the literature. We aim to fill in the research gaps with a study focusing on urban health. We develop and apply analytical approaches to address two challenges. First, domain expertise on drivers of neighborhood-level stroke outcomes is limited. Second, commonly used linear regression methods may provide incomplete and biased conclusions. We created a new neighborhood health data set at census tract level by pooling information from multiple sources. We developed and applied a machine learning–based quantile regression method to uncover crucial neighborhood characteristics for neighborhood stroke outcomes among vulnerable neighborhoods burdened with high prevalence of stroke. Neighborhoods with a larger share of non-Hispanic blacks, older adults, or people with insufficient sleep tended to have a higher prevalence of stroke, whereas neighborhoods with a higher socio-economic status in terms of income and education had a lower prevalence of stroke. The effects of five major determinants varied geographically and were significantly stronger among neighborhoods with high prevalence of stroke. Highly flexible machine learning identifies true drivers of neighborhood cardiovascular health outcomes from wide-ranging information in an agnostic and reproducible way. The identified major determinants and the effect mechanisms can provide important avenues for prioritizing and allocating resources to develop optimal community-level interventions for stroke prevention.

To examine the relationships between perceptions of neighborhood environment, sense of community, and self-rated heath, we recruited 1798 people aged 60 years and older living in Hong Kong. With reference to the checklist of the essential features of age-friendly cities developed by the World Health Organization, perceptions of neighborhood environment were assessed using a questionnaire covering physical and social environmental domains, which mapped onto “outdoor spaces and buildings,” “transportation,” “housing,” “social participation,” “respect and social inclusion,” “civic participation and employment,” “communication and information,” and “community support and health services.” Sense of community was measured by the Brief Sense of Community Scale. Self-rated health was assessed by a single question. The relationships between these measures were analyzed using partial correlations, multivariate regression models, and path analyses. The mean age of the participants was 71.7 years; of which 54.3% were women. In multivariate regression models, perceived neighborhood environments were positively associated with sense of community and self-rated health. Among the domains of perceived neighborhood environment, “transportation” and “respect and social inclusion” were the physical and the social environmental domains most strongly associated with sense of community, respectively. In addition, sense of community accounted for part of the relationship between perceived neighborhood environments and self-rated health. The results of this study support the importance of perceived neighborhood environments for the sense that older person has of one’s community, and self-rated health of older people which may be enhanced through the improvement of neighborhood environments.

Rapid and uncontrolled urbanisation across low and middle-income countries is leading to ever expanding numbers of urban poor, defined here as slum dwellers and the homeless. It is estimated that 828 million people are currently living in slum conditions. If governments, donors and NGOs are to respond to these growing inequities they need data that adequately represents the needs of the urban poorest as well as others across the socio-economic spectrum. We report on the findings of a special session held at the International Conference on Urban Health, Dhaka 2015. We present an overview of the need for data on urban health for planning and allocating resources to address urban inequities. Such data needs to provide information on differences between urban and rural areas nationally, between and within urban communities. We discuss the limitations of data most commonly available to national and municipality level government, donor and NGO staff. In particular we assess, with reference to the WHO’s Urban HEART tool, the challenges in the design of household surveys in understanding urban health inequities. We then present two novel approaches aimed at improving the information on the health of the urban poorest. The first uses gridded population sampling techniques within the design and implementation of household surveys and the second adapts Urban HEART into a participatory approach which enables slum residents to assess indicators whilst simultaneously planning the response. We argue that if progress is to be made towards inclusive, safe, resilient and sustainable cities, as articulated in Sustainable Development Goal 11, then understanding urban health inequities is a vital pre-requisite to an effective response by governments, donors, NGOs and communities.