Overview
MortalityMinder (MM) is a prize winning application that enables healthcare researchers, providers, payers, and policy makers to gain actionable insights into how, where, and why midlife mortality rates are rising in the United States (US).
Explores mortality trends for midlife adults ages 25-64 across the United States from 2000 to 2017 using data from CDC WONDER, the definitive source of US mortality data.
Addresses factors including health behaviors, clinical care, education, employment, social supports, community safety and physical environment domains.
Interactively visualizes potential determinants and their impact on mortality trends.
Publicly-accessible, freely available, easily maintained, and readily extensible open source web tool.
Identifies social and economic factors associated with increased mortality trends at the county-level for each state and the nation obtained from County Health Rankings (CHR), an aggregate of county-level data from 20 sources curated by the Robert Wood Johnson Foundation.
Investigates deaths due to All Causes, Cancer Deaths, Cardiovascular Deaths, Deaths of Despair (suicide, self harm and overdose).
Acknowledgments
MortalityMinder was created by undergraduate and graduate students in the Health Analytics Challenge Lab at Rensselaer Polytechnic Institute with generous support from the United Health Foundation and the Rensselaer Institute for Data Exploration and Applications (IDEA). MortalityMinder was directed by Kristin P. Bennett and John S. Erickson.
The MortalityMinder Team would like to thank our advisory board, including Ms. Anne Yau, United Health Foundation; Dr. Dan Fabius, Continuum Health; Ms. Melissa Kamal, New York State Department of Health; and Dr. Tom White, Capital District Physicians' Health Plan (CDPHP).
Contact
Please send questions and comments about MortalityMinder to erickj4@rpi.edu
Suggest improvements and report bugs on GitHub
