Literature DB >> 17116110

What's driving the downward trend in employer-sponsored health insurance?

Yu-Chu Shen1, Sharon K Long.   

Abstract

OBJECTIVE: We investigate the factors driving the downward trend in employer sponsored health insurance (ESI) coverage between 1999 and 2002 for low- and middle-income workers, and assess their insurance options in the absence of ESI coverage. DATA: We use the 1999 and 2002 rounds of the National Survey of America's Families (NSAF), supplemented with ESI premiums from the Medical Expenditure Panel Survey, as well as other state- and county-level data from a variety of sources. The sample includes workers between the ages of 19 and 64. STUDY
DESIGN: We first estimate linear probability models of the probability of having an ESI offer and, for those with an offer, the probability of taking up ESI coverage, using two-stage least square regression on the 2002 worker sample. We then use Oaxaca-Blinder regression-based decomposition methods to identify the factors that explain the changes in ESI offer and take-up between 1999 and 2002. PRINCIPAL
FINDINGS: We find that while low-income workers are more likely to be uninsured and are most vulnerable to the loss of ESI coverage, many middle-income workers are also in a precarious position when faced with the loss of ESI coverage. Many low- and middle-income workers have few coverage options in the absence of ESI. This is particularly problematic for low-income workers: only 13 percent have a spouse with an ESI offer and the nongroup premium they face increased at a much higher rate than for middle-income workers. Finally, we find that the drop in ESI offers between 1999 and 2002 was driven largely by changes in nature of the workers' jobs, while the drop in ESI take-up was driven largely by rising ESI premiums.
CONCLUSIONS: Policies that shore up the ESI system are important for both low- and middle-income workers, as both are vulnerable to a loss of insurance coverage in the absence of ESI. Over time, the potential coverage options available to low- and middle-income workers in the absence of ESI have narrowed as nongroup premiums have increased. While public coverage has provided some protection from that increase for low-income workers, middle-income workers are much less likely to have access to public protection.

Mesh:

Year:  2006        PMID: 17116110      PMCID: PMC1955312          DOI: 10.1111/j.1475-6773.2006.00590.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  10 in total

1.  Declining employer-sponsored coverage: the role of public programs and implications for access to care.

Authors:  Peter J Cunningham
Journal:  Med Care Res Rev       Date:  2002-03       Impact factor: 3.929

2.  Worker decisions to purchase health insurance.

Authors:  L J Blumberg; L M Nichols; J S Banthin
Journal:  Int J Health Care Finance Econ       Date:  2001 Sep-Dec

3.  Health and the cost of nongroup insurance.

Authors:  Jack Hadley; James D Reschovsky
Journal:  Inquiry       Date:  2003       Impact factor: 1.730

4.  Why is there state variation in employer-sponsored insurance?

Authors:  Yu-Chu Shen; Stephen Zuckerman
Journal:  Health Aff (Millwood)       Date:  2003 Jan-Feb       Impact factor: 6.301

5.  The contribution of insurance coverage and community resources to reducing racial/ethnic disparities in access to care.

Authors:  J Lee Hargraves; Jack Hadley
Journal:  Health Serv Res       Date:  2003-06       Impact factor: 3.402

6.  Low-Income workers with employer-sponsored insurance: who's at risk when employer coverage is no longer an option?

Authors:  Sharon K Long; Yu-Chu Shen
Journal:  Med Care Res Rev       Date:  2004-12       Impact factor: 3.929

7.  Increasing health insurance costs and the decline in insurance coverage.

Authors:  Michael Chernew; David M Cutler; Patricia Seliger Keenan
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

8.  The demand for health insurance coverage by low-income workers: can reduced premiums achieve full coverage?

Authors:  M Chernew; K Frick; C G McLaughlin
Journal:  Health Serv Res       Date:  1997-10       Impact factor: 3.402

9.  Explaining trends in health insurance coverage between 1988 and 1991.

Authors:  G Acs
Journal:  Inquiry       Date:  1995       Impact factor: 1.730

10.  Employer-based health insurance in a changing work force.

Authors:  D Chollet
Journal:  Health Aff (Millwood)       Date:  1994       Impact factor: 6.301

  10 in total
  9 in total

1.  Comparing safety climate between two populations of hospitals in the United States.

Authors:  Sara J Singer; Christine W Hartmann; Amresh Hanchate; Shibei Zhao; Mark Meterko; Priti Shokeen; Shoutzu Lin; David M Gaba; Amy K Rosen
Journal:  Health Serv Res       Date:  2009-07-03       Impact factor: 3.402

2.  Determinants of receipt of recommended preventive services: implications for the Affordable Care Act.

Authors:  Stacey McMorrow; Genevieve M Kenney; Dana Goin
Journal:  Am J Public Health       Date:  2014-01-16       Impact factor: 9.308

3.  Trends in health insurance status of US children and their parents, 1998-2008.

Authors:  Heather Angier; Jennifer E DeVoe; Carrie Tillotson; Lorraine Wallace; Rachel Gold
Journal:  Matern Child Health J       Date:  2013-11

4.  Employer-sponsored health insurance coverage limitations: results from the Childhood Cancer Survivor Study.

Authors:  Anne C Kirchhoff; Karen Kuhlthau; Hannah Pajolek; Wendy Leisenring; Greg T Armstrong; Leslie L Robison; Elyse R Park
Journal:  Support Care Cancer       Date:  2012-06-21       Impact factor: 3.603

5.  Access and cost barriers to mental health care, by insurance status, 1999-2010.

Authors:  Kathleen Rowan; Donna D McAlpine; Lynn A Blewett
Journal:  Health Aff (Millwood)       Date:  2013-10       Impact factor: 6.301

6.  The personal and workplace characteristics of uninsured expatriate males in Saudi Arabia.

Authors:  Abdulwahab Alkhamis; Peter Cosgrove; Gamal Mohamed; Amir Hassan
Journal:  BMC Health Serv Res       Date:  2017-01-19       Impact factor: 2.655

7.  Assessing healthcare expenditures of older United States adults with pain and poor versus good mental health status: a cross-sectional study.

Authors:  David Rhys Axon; Jonathan Chien
Journal:  BMJ Open       Date:  2022-01-24       Impact factor: 2.692

8.  The impact of CHIP premium increases on insurance outcomes among CHIP eligible children.

Authors:  Silviya Nikolova; Sally Stearns
Journal:  BMC Health Serv Res       Date:  2014-03-03       Impact factor: 2.655

9.  Decomposition of the drivers of the U.S. hospital spending growth, 2001-2009.

Authors:  Vivian Y Wu; Yu-Chu Shen; Myeong-Su Yun; Glenn Melnick
Journal:  BMC Health Serv Res       Date:  2014-05-21       Impact factor: 2.655

  9 in total

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