A Qualitative Study to Develop a Privacy and Nondiscrimination Best Practice Framework for Personalized Wellness...

Area of Science:

• Health Law
• Workplace Wellness
• Data Privacy

Background:

• Employers increasingly offer personalized wellness products as workplace benefits.
• This trend involves direct-to-consumer (DTC) genetic testing and digital health companies, raising privacy concerns.
• Existing regulations for sensitive health information in wellness programs are often insufficient.

Purpose of the Study:

• To explore stakeholder concerns regarding employee health privacy and discrimination in workplace wellness programs.
• To develop best practices for privacy and nondiscrimination in these programs.
• To inform employers, DTC companies, and policymakers in the absence of comprehensive regulations.

Main Methods:

• Qualitative exploration of concerns and opinions from public and legislative stakeholders in the US.
• Identification of key themes and development of best practices.

Main Results:

• A central theme emerged: promoting a culture of trust and wellness.
• Identified best practices include transparent data standards, upholding privacy, removing penalties for biometric outcomes, rewarding healthy behaviors, and ensuring accessibility.

Conclusions:

• Establishing transparent data practices and prioritizing employee privacy are crucial for nondiscriminatory workplace wellness programs.
• Implementing recommended best practices can mitigate risks associated with sensitive health data and promote a healthier, more equitable work environment.