Estimates of the impact of COVID-19 on disruptions and potential loss of employer-sponsored health insurance (ESI)

Estimates of the impact of COVID-19 on disruptions and potential loss of employer-sponsored health insurance (ESI)

Collection:
Health Policy and Services Research
Author(s):
Golberstein, Ezra, author
Abraham, Jean M., author
Blewett, Lynn A., author
Fried, Brett, author
Hest, Robert, author
Lukanen. Elizabeth, author
Contributor(s):
State Health Access Data Assistance Center, University of Minnesota, issuing body.
University of Minnesota. School of Public Health, issuing body.
Publication:
[Minneapolis, Minnesota] : State Health Access Data Assistance Center, School of Public Health, University of Minnesota, April 2020
Language(s):
English
Format:
Text
Subject(s):
Coronavirus Infections
Health Benefit Plans, Employee -- statistics & numerical data
Pandemics -- economics
Medically Uninsured -- statistics & numerical data
State Government
United States
Genre(s):
Technical Report
Abstract:
A new University of Minnesota COVID-19 Health Insurance Model (MN-HIM) estimates that in the four weeks leading up to April 11, 2020, as many as 18.4 million individuals in the United States may be at risk of losing their employer-sponsored health insurance (ESI) coverage, including policyholders and their dependents. Based on the Bureau of Labor Statistics (BLS) estimate that an additional 4.4 million initial unemployment insurance claims were filed in the week ending on April 18, 2020, our preliminary estimates of total potential ESI losses over the five-week period rise to 22.3 million. In a worst-case scenario, the loss of employer-sponsored insurance (ESI) could increase the national rate of uninsured by 65%--from 8.8% to 14.5%-- and the numbers of uninsured from 28.5 to 46.9 million. The MN-HIM model is designed to produce state-level estimates of ESI disruptions, and complements the recent analysis released by the Economic Policy Institute by including estimates of ESI coverage loss for policyholders as well as dependents. Understanding the magnitude of potential coverage disruptions, including total loss of coverage, resulting from unemployment is critical to policy makers, public program administrators, and safety net providers as they develop policy and programmatic responses to help affected populations.
Copyright:
Reproduced with permission of the copyright holder. Further use of the material is subject to CC BY-NC-ND license. (More information)
Extent:
1 online resource (1 PDF file (5 pages))
Illustrations:
Illustrations
NLM Unique ID:
101772126 (See catalog record)
Permanent Link:
http://resource.nlm.nih.gov/101772126