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

Autor:	Bundorf MK; M. Kate Bundorf ( bundorf@stanford.edu ) is an associate professor of health research and policy at the Stanford University School of Medicine, in California., Polyakova M; Maria Polyakova is an assistant professor of health research and policy at the Stanford University School of Medicine., Stults C; Cheryl Stults is a research sociologist at the Palo Alto Medical Foundation Research Institute, in California., Meehan A; Amy Meehan is a research associate at the Palo Alto Medical Foundation Research Institute., Klimke R; Roman Klimke is a graduate student at the John F. Kennedy School of Government, Harvard University, in Cambridge, Massachusetts., Pun T; Ting Pun is an independent consultant in Mountain View, California., Chan AS; Albert Solomon Chan is chief of digital patient experience and an investigator at Sutter Health, in Palo Alto, and an adjunct professor at the Stanford Center for Biomedical Informatics Research, Stanford School of Medicine., Tai-Seale M; Ming Tai-Seale is a professor in the Department of Family Medicine and Public Health, University of California San Diego, director of outcomes analysis and scholarship at UC San Diego Health, and director of research at UCSD Health Sciences International, in La Jolla.
Jazyk:	angličtina
Zdroj:	Health affairs (Project Hope) [Health Aff (Millwood)] 2019 Mar; Vol. 38 (3), pp. 482-490.
DOI:	10.1377/hlthaff.2018.05017
Abstrakt:	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.
Databáze:	MEDLINE
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