An article about the neighborhood atlas was published today in the New England Journal of Medicine. Amy Kind, MD, PhD, associate professor of medicine (geriatrics) at the University of Wisconsin School of Medicine and Public Health, and health geographer William Buckingham of the UW Applied Population Laboratory led the study. Red areas on the map have more disadvantages and blue areas have fewer.
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“We want this to be a tool that everyone can use,” said Kind. “You don’t need a technical degree to use the map. We hope this will be a catalyst to new policy efforts, research studies, resource alignment and clinical interventions which are needed to eliminate U.S. health disparities.”
The map is based on the Area Deprivation Index (ADI), a measure created by the Health Resources and Services Administration many years ago for use on larger geographic areas and based on census data. Kind’s research group has modernized and refined the ADI down to the neighborhood level for all of the neighborhoods within the United States and Puerto Rico.
Furthermore, they have constructed an interactive map and made the information easily accessible to all users and mergeable into many other data resources. The ADI includes four areas: unemployment, poverty, education and housing and includes multiple measures of each area to yield a picture of a given area’s socio-economic disadvantage.
“Census data and health maps have been around for years but often focus on limited populations or only provide information at larger county or state levels — making them difficult to practically apply in many clinical, policy and research settings,” said Kind. “The Neighborhood Atlas offers information on the national population. It goes into greater detail and gives more information on what life is like on the ground at any given neighborhood in the United States and Puerto Rico.”
There is a map for each state and Puerto Rico. One can rank a given state on its own metrics or compared with the national average. Kind says the data housed by the Neighborhood Atlas is already being used by state and federal agencies and health systems; for example, a national diabetes disparities program run by U.S. Centers for Medicare and Medicaid Services is using Neighborhood Atlas ADI data to inform ground-level operations so the program can be targeted to areas that will most benefit from it.
The atlas has many additional possible uses for research, such as enabling more targeted clinical trials and drug therapies, study design and recruitment and dissemination of research findings.
On the clinical side, physicians could use it to understand more about their patients’ living environment and health systems could use the data to alert clinicians about neighborhood factors that could affect medical progress once the patient leaves the hospital or clinic, so that appropriate support can be included in their care plan.
Kind’s team plans to update this map every five years.
