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Sub-County Life Expectancy: A Tool to Improve Community Health and Advance Health Equity
Vickie L Boothe1, Leslie A Fierro2, Amy Laurent3
1Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, 1600 Clifton Rd NE, Mail Stop E69, Atlanta, GA 30333.
Americans face shorter lifespans and higher disease burdens compared to other developed nations, largely due to local health disparities. Calculating sub-county life expectancy is feasible for health departments to address these geographic inequities.
Area of Science:
- Public Health
- Epidemiology
- Health Disparities
Background:
- Americans exhibit poorer health outcomes and shorter life expectancies compared to citizens of other developed nations.
- Profound local, place-based disparities are increasingly recognized as a primary driver of these comparative health deficits.
- Sub-county life expectancy estimates have proven effective in highlighting geographic disparities and prompting community action.
Purpose of the Study:
- To assess the feasibility of scaling sub-county life expectancy estimation efforts nationwide.
- To provide methodological guidance and tools for calculating actionable, localized life expectancy data.
- To support state and local health departments in addressing geographic health inequities.
Main Methods:
- A multiphase project, the Sub-County Assessment of Life Expectancy, was initiated by the Centers for Disease Control and Prevention and the Council of State and Territorial Epidemiologists.
- Phase I involved literature review, tool assessment, calculation of local estimates, and development of methodological guidance.
- Participants' varying resources, expertise, and demographic contexts were considered.
Main Results:
- Phase I results indicate that most state and local health departments can calculate actionable sub-county life expectancy estimates.
- The feasibility is demonstrated across diverse resource levels, expertise, and geographic settings.
- Practical tips, validated tools, and case examples were identified to facilitate scaling.
Conclusions:
- Calculating sub-county life expectancy is a feasible strategy for identifying and addressing local health disparities.
- Widespread adoption of these estimates can empower health departments to implement targeted interventions.
- The project provides a roadmap for scaling these efforts to improve national population health measures.
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