Per Visit Emergency Department Expenditures By Insurance Type, 1996-2015

Jonathan Yun; Kathryn Oehlman; Michael Johansen

doi:10.1377/hlthaff.2018.0083

Per Visit Emergency Department Expenditures By Insurance Type, 1996-2015

Health Aff (Millwood). 2018 Jul;37(7):1109-1114. doi: 10.1377/hlthaff.2018.0083.

Authors

Jonathan Yun¹, Kathryn Oehlman², Michael Johansen³

Affiliations

¹ Jonathan Yun is a National Research Service Award Primary Care Research Fellow at the Cecil G. Sheps Center for Health Services Research and a clinical instructor in family medicine, both at the University of North Carolina at Chapel Hill.
² Kathryn Oehlman is a student at the Heritage College of Osteopathic Medicine, Ohio University, in Athens.
³ Michael Johansen ( mikejoha3@gmail.com ) is director for wellness, strategy and innovation at OhioHealth and assistant residency director in Grant Family Medicine, both in Columbus; and an assistant professor of family medicine at the Heritage College of Osteopathic Medicine, Ohio University.

PMID: 29985689
DOI: 10.1377/hlthaff.2018.0083

Abstract

Between 1996 and 2015, mean annual increases in per visit emergency department (ED) expenditures were significantly greater for private insurance than Medicare, Medicaid, and no insurance, with no corresponding difference in ED charges. Expenditures as a proportion of charges decreased for all insurers over time. Private insurance had the highest expenditure-to-charge ratio in each year.

Keywords: Cost of Health Care; Financing Health Care; Health Economics; Health Spending; Insurance Market < Insurance.

Publication types

Research Support, U.S. Gov't, P.H.S.

MeSH terms

Emergency Service, Hospital* / statistics & numerical data
Emergency Service, Hospital* / trends
Humans
Insurance Coverage* / statistics & numerical data
Insurance Coverage* / trends
Insurance, Health* / statistics & numerical data
Insurance, Health* / trends
Medicaid* / statistics & numerical data
Medically Uninsured / statistics & numerical data
Medicare* / statistics & numerical data
Retrospective Studies
United States