Machine-Based Expert Recommendations And Insurance Choices Among Medicare Part D Enrollees.

Journal Article (Journal Article)

Choosing a health insurance plan is difficult for many people, and patient-centered decision support may help consumers make these choices. We tested whether providing a patient-centered decision-support tool-with or without machine-based, personalized expert recommendations-influenced decision outcomes for Medicare Part D enrollees. We found that providing an online patient-centered decision-support tool increased older adults' satisfaction with the process of choosing a prescription drug plan and the amount of time they spent choosing a plan. Providing personalized expert recommendations as well increased rates of plan switching. Many people who could have accessed the tool chose not to, and the characteristics of people who used the tool differed from those who did not. We conclude that a patient-centered decision-support tool providing personalized expert recommendations can help people choose a plan, but different approaches may be necessary to encourage more people to periodically reevaluate their options.

Full Text

Duke Authors

Cited Authors

  • Bundorf, MK; Polyakova, M; Stults, C; Meehan, A; Klimke, R; Pun, T; Chan, AS; Tai-Seale, M

Published Date

  • March 2019

Published In

Volume / Issue

  • 38 / 3

Start / End Page

  • 482 - 490

PubMed ID

  • 30830808

Pubmed Central ID

  • 30830808

Electronic International Standard Serial Number (EISSN)

  • 1544-5208

International Standard Serial Number (ISSN)

  • 0278-2715

Digital Object Identifier (DOI)

  • 10.1377/hlthaff.2018.05017


  • eng