Download to read offline
Uploaded byPolicyMap
Using data to visualize community health
This document discusses using data to understand and improve community health. It outlines how analyzing social determinants of health like income, education, housing, and access to food and healthcare at the zip code level can help identify health disparities. The document provides examples of data that can be mapped, like rates of poverty, income inequality, affordable housing, educational attainment, reading proficiency, food access, life expectancy, rates of uninsured individuals, opioid prescription rates, and medically underserved areas. The goal is to understand how community and social factors shape health outcomes and identify vulnerable populations.
More Related Content
Similar to Using data to visualize community health
Using data to visualize community health
- 1. Inform Decision Makingand Policy Solutions Using Data to Visualize Community Health
- 2. Zip code betterpredictor of health than genetic code • Melody Goodman, PhD. Washington University in St. Louis presents Missouri’s Delmar Divide to show the link between segregation and poor health • Residents to the north less likely to have a bachelor’s degree and more likely to have heart disease or cancer 2
- 3. Your Zip CodeDetermines Your Health. Here’s How to Improve the Prognosis. 2018 | Quarter 4 3
- 4.
- 5. Understand Community Health •Social Determinants of Health – WHO “The social determinants of health are the conditions in which people are born, grow, live, work and age. These circumstances are shaped by the distribution of money, power and resources at global, national and local levels.” • Demographics • Incomes & Spending • Housing • Quality of Life • Education • Health 5
- 6.
- 7. Incomes & Spending •Mapping Poverty • Persistent Poverty Tracts • Gini Index of Income Inequality • Minimum Wage • Medically Underserved Areas 7
- 8. Persistent Poverty inDayton 8
- 9. Gini Index ofInequality: Dayton 9
- 10. Housing • Home Vacancies •Affordability • Gentrification • Housing Quality 10
- 11. Affordability - CostBurdens 11
- 13.
- 14. Education • Educational Attainment •Public Schools: Enrollment and Demographics • Civil Rights Data Collection includes student suspensions, expulsions, and SAT takers, all of which are relevant to questions about equity • Great Schools • Reading Proficiency • School age children in poverty 14
- 15.
- 16. School Age Childrenin Poverty 16
- 17.
- 18. Food • Access toHealthy Food • Identifying Food Deserts • Low Income/Low Access Tracts • WIC/SNAP Recipients • Fast Food, Supermarkets, Farmers Markets 18
- 19.
- 20. Healthcare • Life Expectancy •BRFSS and 500 Cities data • Healthcare Uninsured https://plcy.mp/M2Mw3Zw • Healthy Food and LSA - Jacksonville with Grocery Retail Locations • Medically Underserved • Opioids 20
- 21. Understand Community Health •Health Status • Perceived (BRFSS) • CDC 500 Cities • Health facilities/providers • Hospitals, Community Health Centers • Mental health treatment • Drug and Alcohol treatment • Buprenorphine physicians • Advanced practice nurses 21
- 22.
- 23.
- 24.
- 25.
- 26.
- 27. Community and SocialContext • Social Integration i.e. predominant racial ethnic group • Economic integration, GINI Index • Social Needs Index - Using the Social Needs Index to identify vulnerable populations • Opportunity Zones 27
- 28.
- 29.