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Barton Malow Earns 2023 Aetna Workplace Well-Being Silver Award

Barton Malow Earns 2023 Aetna Workplace Well-Being Silver Award

Aetna’s Workplace Well-Being Silver-Level Award recognizes a strong commitment to providing workplace well-being resources, programs, and support for team members.

Barton Malow recently received Aetna’s Workplace Well-Being Award for the second year in a row, earning a Silver designation. The award is a testament to Barton Malow’s dedication to creating a healthy culture among its team. Barton Malow earned a Bronze award in 2022.

“Barton Malow prioritizes the health and wellness of our team members and their families. Under the umbrella of WeCare Total Rewards, we provide benefits and resources that target physical, mental, financial, and social well-being,” said Barton Malow Senior Benefits Manager Valerie Skeltis. “Our goal is to empower team members to focus on their own well-being and lead healthy lives.”

Barton Malow’s Workplace Well-Being Program

Barton Malow’s workplace well-being program leverages benefit vendors to provide the highest quality personal support. For example, the Employee Assistance Program ensures all team members have a confidential outlet to discuss serious issues. Barton Malow also encourages team members to create and maintain an active lifestyle and offers no-cost primary care visits.

“Congratulations to Barton Malow,” says Aetna Wellness Manager Hillary Boxheimer. “This recognition shows how it emphasizes the importance of employee well-being. We’re proud to be partnered with Barton Malow.”

About the Aetna Workplace Well-Being Award

Established in 2017, Aetna’s Workplace Well-Being Awards are available to middle market and public and labor employer segments in the United States with a minimum of 100 team members. Aetna collects 12-month data from applications to determine an organization’s award level, ranging from bronze to platinum. A peer review committee of well-being professionals with an average of 25 years of experience scores all applications based on pre-defined criteria.