Literature DB >> 24951038

Employee knowledge of value-based insurance design benefits.

Nora B Henrikson1, Melissa L Anderson2, Rebecca A Hubbard2, Paul Fishman2, David C Grossman2.   

Abstract

BACKGROUND: Value-based insurance designs (VBD) incorporate evidence-based medicine into health benefit design. Consumer knowledge of new VBD benefits is important to assessing their impact on health care use.
PURPOSE: To assess knowledge of features of a VBD.
METHODS: The eligible study population was employees receiving healthcare benefits in an integrated care system in the U.S. Pacific Northwest. In 2010, participants completed a web-based survey 2 months after rollout of the plan, including three true/false questions about benefit design features including copays for preventive care visits and chronic disease medications and premium costs. Analysis was completed in 2012. Knowledgeable was defined as correct response to all three questions; self-reported knowledge was also assessed.
RESULTS: A total of 3,463 people completed the survey (response rate=71.7%). The majority of respondents were female (80.1%) Caucasians (79.6%) aged 35-64 years (79.0%), reflecting the overall employee population. A total of 45.7% had at least a 4-year college education, and 69.1% were married. About three quarters of respondents correctly answered each individual question; half (52.1%) of respondents answered all three questions correctly. On multivariate analysis, knowledge was independently associated with female gender (OR=1.80, 95% CI=1.40, 2.31); Caucasian race (OR=1.72, 95% CI=1.28, 2.32); increasing household income (OR for ≥$100,000=1.86, 95% CI=1.29, 2.68); nonunion job status (OR compared to union status=1.63, 95% CI=1.17, 2.26); and high satisfaction with the health plan (OR compared to low satisfaction=1.26; 95% CI=1.00, 1.57).
CONCLUSIONS: Incomplete knowledge of benefits is prevalent in an employee population soon after VBD rollout.
Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2014        PMID: 24951038     DOI: 10.1016/j.amepre.2014.03.005

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  1 in total

1.  Estimating the Impact of Diabetes Mellitus on Worker Productivity Using Self-Report, Electronic Health Record and Human Resource Data.

Authors:  David C Tabano; Melissa L Anderson; Debra P Ritzwoller; Arne Beck; Nikki Carroll; Paul A Fishman; David C Grossman
Journal:  J Occup Environ Med       Date:  2018-11       Impact factor: 2.162

  1 in total

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