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Constructing Within-City Neighborhood Health Rankings in Philadelphia by Using Data From the 500 Cities Project
Journal article   Open access

Constructing Within-City Neighborhood Health Rankings in Philadelphia by Using Data From the 500 Cities Project

Jessica Whitley, Jana A. Hirsch, Kari A. Moore, Steven J. Melly, Heather Rollins and Raynard Washington
Preventing chronic disease, v 18, p12
01 May 2021
PMID: 33988496
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.5888/pcd18.200584View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
Introduction Profound geographic disparities in health exist in many US cities. Most reporting on these disparities is based on predetermined administrative districts that may not reflect true neighborhoods. We undertook a ranking project to describe health at the neighborhood level and used Philadelphia, Pennsylvania, as our case study. Methods To create neighborhood health rankings, we first divided the city into neighborhoods according to groups of contiguous censustracts. Modeling our ranking methods and indicators on the Robert Wood Johnson Foundation County Health Rankings, we gathered census tract-level data from the Centers for Disease Control and Prevention's 500 Cities Project and local sources and aggregated these data, as needed, to each neighborhood. We assigned composite scores and rankings for both health outcomes and health factors to each neighborhood. Results Scores for health outcomes and health factors were highly correlated. We found clusters of neighborhoods with low rankings in Philadelphia's northern, lower northeastern, western, and southwestern regions. We disseminated information on rankings throughout the city, including through a comprehensive webpage, public communication, and a museum exhibit. Conclusion The Philadelphia neighborhood health rankings were designed to be accessible to people unfamiliar with public health, facilitating education on drivers of health in communities. Our methods can be used as a model for other cities to create and communicate data on within-city geographic health disparities.

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5 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#10 Reduced Inequalities
#3 Good Health and Well-Being

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Web of Science research areas
Public, Environmental & Occupational Health
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