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Show Me My Health Plans

Authors :
Mary C. Politi PhD
Marie D. Kuzemchak BA
Jingxia Liu PhD
Abigail R. Barker PhD
Ellen Peters PhD
Peter A. Ubel MD
Kimberly A. Kaphingst ScD
Timothy McBride PhD
Matthew W. Kreuter PhD, MPH
Enbal Shacham PhD
Sydney E. Philpott BS
Source :
MDM Policy & Practice, Vol 1 (2016)
Publication Year :
2016
Publisher :
SAGE Publishing, 2016.

Abstract

Introduction: Since the Affordable Care Act was passed, more than 12 million individuals have enrolled in the health insurance marketplace. Without support, many struggle to make an informed plan choice that meets their health and financial needs. Methods: We designed and evaluated a decision aid, Show Me My Health Plans (SMHP), that provides education, preference assessment, and an annual out-of-pocket cost calculator with plan recommendations produced by a tailored, risk-adjusted algorithm incorporating age, gender, and health status. We evaluated whether SMHP compared to HealthCare.gov improved health insurance decision quality and the match between plan choice, needs, and preferences among 328 Missourians enrolling in the marketplace. Results: Participants who used SMHP had higher health insurance knowledge (LS-Mean = 78 vs. 62; P < 0.001), decision self-efficacy (LS-Mean = 83 vs. 75; P < 0.002), confidence in their choice (LS-Mean = 3.5 vs. 2.9; P < 0.001), and improved health insurance literacy (odds ratio = 2.52, P < 0.001) compared to participants using HealthCare.gov . Those using SMHP were 10.3 times more likely to select a silver- or gold-tier plan (P < 0.0001). Discussion: SMHP can improve health insurance decision quality and the odds that consumers select an insurance plan with coverage likely needed to meet their health needs. This study represents a unique context through which to apply principles of decision support to improve health insurance choices.

Subjects

Subjects :
Medicine (General)
R5-920

Details

Language :
English
ISSN :
23814683
Volume :
1
Database :
Directory of Open Access Journals
Journal :
MDM Policy & Practice
Publication Type :
Academic Journal
Accession number :
edsdoj.b702d0be7b47359f163dfa614ad625
Document Type :
article
Full Text :
https://doi.org/10.1177/2381468316679998