Show Me My Health Plans

• Published in: MDM policy & practice Vol. 1; no. 1
• Main Authors: Politi, Mary C, Kuzemchak, Marie D, Liu, Jingxia, Barker, Abigail R, Peters, Ellen, Ubel, Peter A, Kaphingst, Kimberly A, McBride, Timothy, Kreuter, Matthew W, Shacham Enbal, Philpott, Sydney E
• Format: Journal Article
• Language: English
• Published: Thousand Oaks Sage Publications Ltd 01.11.2016; SAGE Publishing
• Subjects: Clinical decision making; Decision making; Decision support systems; Health insurance; Health literacy; Medical records; Patient Protection & Affordable Care Act 2010-US; Public health; United States > US; Missouri
• ISSN: 2381-4683
• DOI: 10.1177/2381468316679998

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.