A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific Mortality
Introduction: Local health departments are currently limited in their ability to use life expectancy (LE) as a benchmark for improving community health. In collaboration with the Baltimore City Health Department, our aim was to develop a web-based tool to estimate the potential lives saved and gains...
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| Format: | Article |
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Frontiers Media S.A.
2021-07-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2021.663825/full |
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| author | Aruna Chandran Churong Xu Jonathan Gross Kathryn M. Leifheit Kathryn M. Leifheit Darcy Phelan-Emrick Darcy Phelan-Emrick Stephane Helleringer Keri N. Althoff |
| author_facet | Aruna Chandran Churong Xu Jonathan Gross Kathryn M. Leifheit Kathryn M. Leifheit Darcy Phelan-Emrick Darcy Phelan-Emrick Stephane Helleringer Keri N. Althoff |
| author_sort | Aruna Chandran |
| collection | DOAJ |
| description | Introduction: Local health departments are currently limited in their ability to use life expectancy (LE) as a benchmark for improving community health. In collaboration with the Baltimore City Health Department, our aim was to develop a web-based tool to estimate the potential lives saved and gains in LE in specific neighborhoods following interventions targeting achievable reductions in preventable deaths.Methods: The PROLONGER (ImPROved LONGEvity through Reductions in Cause-Specific Deaths) tool utilizes a novel Lives Saved Simulation model to estimate neighborhood-level potential change in LE after specified reduction in cause-specific mortality. This analysis uses 2012–2016 deaths in Baltimore City residents; a 20% reduction in heart disease mortality is shown as a case study.Results: According to PROLONGER, if heart disease deaths could be reduced by 20% in a given neighborhood in Baltimore City, there could be up to a 2.3-year increase in neighborhood LE. The neighborhoods with highest expected LE increase are not the same as those with highest heart disease mortality burden or lowest overall life expectancies.Discussion: PROLONGER is a practical resource for local health officials in prioritizing scarce resources to improve health outcomes. Focusing programs based on potential LE impact at the neighborhood level could lend new information for targeting of place-based public health interventions. |
| first_indexed | 2024-12-19T16:40:59Z |
| format | Article |
| id | doaj.art-0038bdae3e624595b217135230823ee4 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-19T16:40:59Z |
| publishDate | 2021-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-0038bdae3e624595b217135230823ee42022-12-21T20:13:47ZengFrontiers Media S.A.Frontiers in Public Health2296-25652021-07-01910.3389/fpubh.2021.663825663825A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific MortalityAruna Chandran0Churong Xu1Jonathan Gross2Kathryn M. Leifheit3Kathryn M. Leifheit4Darcy Phelan-Emrick5Darcy Phelan-Emrick6Stephane Helleringer7Keri N. Althoff8Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesBaltimore City Health Department, Baltimore, MD, United StatesDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesDepartment of Health Policy and Management, Fielding School of Public Health, Los Angeles, CA, United StatesDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesBaltimore City Health Department, Baltimore, MD, United StatesDepartment of Social Research and Public Policy, New York University, New York, NY, United StatesDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesIntroduction: Local health departments are currently limited in their ability to use life expectancy (LE) as a benchmark for improving community health. In collaboration with the Baltimore City Health Department, our aim was to develop a web-based tool to estimate the potential lives saved and gains in LE in specific neighborhoods following interventions targeting achievable reductions in preventable deaths.Methods: The PROLONGER (ImPROved LONGEvity through Reductions in Cause-Specific Deaths) tool utilizes a novel Lives Saved Simulation model to estimate neighborhood-level potential change in LE after specified reduction in cause-specific mortality. This analysis uses 2012–2016 deaths in Baltimore City residents; a 20% reduction in heart disease mortality is shown as a case study.Results: According to PROLONGER, if heart disease deaths could be reduced by 20% in a given neighborhood in Baltimore City, there could be up to a 2.3-year increase in neighborhood LE. The neighborhoods with highest expected LE increase are not the same as those with highest heart disease mortality burden or lowest overall life expectancies.Discussion: PROLONGER is a practical resource for local health officials in prioritizing scarce resources to improve health outcomes. Focusing programs based on potential LE impact at the neighborhood level could lend new information for targeting of place-based public health interventions.https://www.frontiersin.org/articles/10.3389/fpubh.2021.663825/fulllife expectanciesneighborhoodlocal healthmortality reductionweb-based tool |
| spellingShingle | Aruna Chandran Churong Xu Jonathan Gross Kathryn M. Leifheit Kathryn M. Leifheit Darcy Phelan-Emrick Darcy Phelan-Emrick Stephane Helleringer Keri N. Althoff A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific Mortality Frontiers in Public Health life expectancies neighborhood local health mortality reduction web-based tool |
| title | A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific Mortality |
| title_full | A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific Mortality |
| title_fullStr | A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific Mortality |
| title_full_unstemmed | A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific Mortality |
| title_short | A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific Mortality |
| title_sort | web based tool for quantification of potential gains in life expectancy by preventing cause specific mortality |
| topic | life expectancies neighborhood local health mortality reduction web-based tool |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2021.663825/full |
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