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Using medicare data to identify individuals who are electricity dependent to improve disaster preparedness and response

Author

Listed:
  • DeSalvo, K.
  • Lurie, N.
  • Finne, K.
  • Worrall, C.
  • Bogdanov, A.
  • Dinkler, A.
  • Babcock, S.
  • Kelman, J.

Abstract

Duringadisasterorprolonged power outage, individuals who use electricity-dependent medical equipment are often unable to operate it and seek care in acute care settings or local shelters. Public health officials often report that they do not have proactive and systematic ways to rapidly identify and assist these individuals. In June 2013, we piloted a first-in-the-nation emergency preparedness drill in which we used Medicare claims data to identify individuals with electricitydependent durable medical equipment during a disaster and securely disclosed it to a local health department. We found that Medicare claims data were 93% accurate in identifying individuals using a home oxygen concentrator or ventilator. The drill findings suggest that claims data can be useful in improving preparedness and response for electricitydependent populations.

Suggested Citation

  • DeSalvo, K. & Lurie, N. & Finne, K. & Worrall, C. & Bogdanov, A. & Dinkler, A. & Babcock, S. & Kelman, J., 2014. "Using medicare data to identify individuals who are electricity dependent to improve disaster preparedness and response," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1160-1164.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2014.302009_6
    DOI: 10.2105/AJPH.2014.302009
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    Cited by:

    1. Elizabeth Bromley & David P. Eisenman & Aizita Magana & Malcolm Williams & Biblia Kim & Michael McCreary & Anita Chandra & Kenneth B. Wells, 2017. "How Do Communities Use a Participatory Public Health Approach to Build Resilience? The Los Angeles County Community Disaster Resilience Project," IJERPH, MDPI, vol. 14(10), pages 1-14, October.
    2. Vivian Do & Heather McBrien & Nina M. Flores & Alexander J. Northrop & Jeffrey Schlegelmilch & Mathew V. Kiang & Joan A. Casey, 2023. "Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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