Literature DB >> 34007696

Perceived Value of Health Insurance and Enrollment Decision among Low-Income Population.

Jayoung Han1.   

Abstract

The individual mandate is one of the key features of the Affordable Care Act (ACA) and has contributed to a substantial decrease in the overall uninsured rate. We examined the relationship between the individual's insurance status and his/her attitude towards risk and uncertainty among the nonelderly adults, without employer-sponsored insurance (ESI) sources and who are most likely to benefit from the ACA. A descriptive, cross-sectional study was conducted using the 2014 full-year consolidated data file from the Household Component of the Medical Expenditure Panel Survey-Household Component (MEPS-HC). This study included 4,848 individuals, aged 18-64 years, with incomes between 138-400 % of the Federal Poverty Level (FPL), and without access to public coverage or ESI. We examined the factors associated with the likelihood of being uninsured using a logit model. We found that the proportion of the uninsured among the low-income nonelderly adults without ESI (31.1%) was much higher than the one among the nonelderly adults (14.3%). The uninsured adults were likely to have lower demand for insurance and perceived value of insurance and were less likely to visit a doctor or to fill prescription drugs. More rigorous outreach efforts focusing on increasing perceived value of health insurance could contribute to an increased insurance coverage among low-income populations. © University of Minnesota Libraries Publishing.

Entities:  

Keywords:  Affordable Care Act; enrollment; health insurance; low income; perceived value

Year:  2018        PMID: 34007696      PMCID: PMC6438553          DOI: 10.24926/iip.v9i2.988

Source DB:  PubMed          Journal:  Innov Pharm        ISSN: 2155-0417


  10 in total

1.  Health insurance coverage and take-up: lessons from behavioral economics.

Authors:  Katherine Baicker; William J Congdon; Sendhil Mullainathan
Journal:  Milbank Q       Date:  2012-03       Impact factor: 4.911

2.  Who failed to enroll in Medicare Part D, and why? Early results.

Authors:  Florian Heiss; Daniel McFadden; Joachim Winter
Journal:  Health Aff (Millwood)       Date:  2006-08-01       Impact factor: 6.301

3.  Consumers' misunderstanding of health insurance.

Authors:  George Loewenstein; Joelle Y Friedman; Barbara McGill; Sarah Ahmad; Suzanne Linck; Stacey Sinkula; John Beshears; James J Choi; Jonathan Kolstad; David Laibson; Brigitte C Madrian; John A List; Kevin G Volpp
Journal:  J Health Econ       Date:  2013-06-26       Impact factor: 3.883

4.  Health insurance enrollment decisions: preferences for coverage, worker sorting, and insurance take-up.

Authors:  Alan C Monheit; Jessica Primoff Vistnes
Journal:  Inquiry       Date:  2008       Impact factor: 1.730

Review 5.  What information do consumers want and need?

Authors:  S Edgman-Levitan; P D Cleary
Journal:  Health Aff (Millwood)       Date:  1996       Impact factor: 6.301

6.  Why health insurance literacy matters.

Authors:  Larry Levitt
Journal:  JAMA       Date:  2015-02-10       Impact factor: 56.272

7.  Health Insurance for "Humans": Information Frictions, Plan Choice, and Consumer Welfare.

Authors:  Benjamin R Handel; Jonathan T Kolstad
Journal:  Am Econ Rev       Date:  2015-08

8.  Adverse Selection and an Individual Mandate: When Theory Meets Practice.

Authors:  Martin B Hackmann; Jonathan T Kolstad; Amanda E Kowalski
Journal:  Am Econ Rev       Date:  2015-03

9.  The impact of demographic and perceptual variables on a young adult's decision to be covered by private health insurance.

Authors:  John Cantiello; Myron D Fottler; Dawn Oetjen; Ning Jackie Zhang
Journal:  BMC Health Serv Res       Date:  2015-05-12       Impact factor: 2.655

10.  Does Awareness of the Affordable Care Act Reduce Adverse Selection? A Study of the Long-term Uninsured in South Carolina.

Authors:  Lu Shi; Chaoling Feng; Sarah Griffin; Joel E Williams; Lee A Crandall; Khoa Truong
Journal:  Inquiry       Date:  2017-01-01       Impact factor: 1.730

  10 in total

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