Study Suggests Millennials Are Better Health Care Consumers

EBRI also found Millennials are leading the way in using innovative strategies employers are implementing to manage health coverage costs.

New research by the Employee Benefit Research Institute (EBRI) finds material differences between how Millennials interact with their health care providers and how other generations do so.

Analysis of the EBRI/Greenwald & Associates Consumer Engagement in Health Care Survey (CEHCS) reveals how Millennials—who now outnumbers Baby Boomers—are more comfortable with non-traditional engagement with their health care providers, and are more likely to apply shopping habits commonly found in the online retail realm to their health care decisions.

Never miss a story — sign up for PLANSPONSOR newsletters to keep up on the latest retirement plan benefits news.

Millennials are more likely than other generations to have researched health care options, such as checking the quality or rating of a doctor or hospital (51% Millennial vs. 34% Gen X and 31% Baby Boomers); using an online health cost tracking tool (28% Millennial vs. 17% Gen X and 10% Baby Boomers); or otherwise finding health cost information (72% Millennial vs. 65% Gen X and 64% Baby Boomers).  They are also more likely to participate in wellness programs. For example, Millennials are more than twice as likely than Baby Boomers to participate in counseling on stress management, mindfulness classes, and resiliency training (33% Millennial vs. 21% Gen X and 15% Baby Boomers).

Millennials are also leading the way in using innovative strategies employers are implementing to manage health coverage costs. They are more than twice as likely as Baby Boomers to use a walk-in clinic. Thirty percent of Millennials have used a walk-in clinic, compared to 14% of Baby Boomers and 18% of Gen Xers.  Millennials are also more than twice as likely to be interested in telemedicine than Baby Boomers. Forty percent of Millennials are interested in telemedicine compared with 19% of Baby Boomers and 27% of Gen Xers.

“Interestingly, Millennials’ health care consumption habits correspond to being significantly more satisfied with their health plan choices,” notes Paul Fronstin, Director of the Health Research and Education Program at EBRI. “This perhaps reflects their comfort in researching consumer decisions online, and applying the same consumer habits they use on Amazon or other retail online cites to the health care arena.”

The full report is published in the March 5 Issue Brief, and is available online here. A related EBRI Fast Fact is located here.

Investment Products and Services Launches

AlphaCore launches risk factor analytics tool, and Franklin Resources adds to fixed income team.

AlphaCore Capital has announced the launch of factorE—a wealthtech tool built for intelligent investing. Powered by machine learning, factorE uncovers the risks and exposures of multi-asset portfolios through visual simulations on a single interface. AlphaCore designed factorE to help advisers, portfolio managers and analysts better understand the factors impacting today’s diverse portfolios.

 

Get more!  Sign up for PLANSPONSOR newsletters.

“Our team at AlphaCore searched for a solution to effectively manage complex portfolios that may hold a combination of mutual funds, ETFs, stocks, commodities, and alternative investments,” says Dick Pfister, CEO and founder of AlphaCore. “When we couldn’t find one, we partnered with a team of developers who have worked with Qualcomm for decades to create a new proprietary wealth analytics tool.”

 

The factorE tool allows advisers to build and analyze portfolios with easy to digest visuals that illustrate the risk factors of a portfolio and expose risks that previously may have been hidden.

 

Understanding risk factors is especially important for the financial adviser seeking to incorporate alternative investments. “The market volatility we’ve seen so far this year combined with the potential for a continued rise in interest rates highlights the importance of diversification,” says Jonathan Belanger, director of Research at AlphaCore and architect of factorE.” factorE helps to evaluate factor exposures and can empower users to create an effective allocation strategy for achieving long-term portfolio objectives.”

 

factorE allows users to look at a variety of risk factors including equity, duration, momentum, value, and credit, along with alternative risk factors like trend following, illiquidity, and hedge fund crowding. This new tool augments more traditional returns-based analysis with machine learning capabilities, enabling users to handle traditional strategies alongside alternative strategies such as long/short equity, relative value, event driven, managed futures and option-writing.

 

Franklin Adds to Fixed Income Group 

 

Franklin Resources, Inc., which operates as Franklin Templeton Investments, announced the acquisition of Random Forest Capital, LLC (Random Forest), an investment firm with expertise in data science and non-bank marketplace lending. Following the acquisition, the Random Forest team will join the Franklin Templeton Fixed Income Group investment team. Terms of the transaction were not disclosed.

 

Jenny Johnson, president and COO of Franklin Templeton Investments, says, “We continue to make strategic investments and acquisitions in emerging investment-related technologies to augment and support Franklin Templeton’s global offerings. The Random Forest team will complement our existing fundamental fixed income research with their expertise in private lending and bring the capability to support the firm’s broader information technology and data science initiatives.”

 

Random Forest approaches investment management from the perspective of data science, in which machine learning and statistical algorithms are applied to solve for expected gains in financial investments using complex models. They have built cloud infrastructure that enables them to take massive amounts of unstructured data to not only gain key insights, but also to find new predictive power in the data.

«