Personalized substance use treatment to deliver the best outcomes and reduce healthcare spend.
Addiction is a chronic disease that requires treatment to manage. People don’t choose to have an addiction any more than they choose to have heart disease.
in America struggle with addiction but less than 8% seek treatment
remote workers reported going to work impaired by drugs or alcohol in 2020
of those that experience mental illness also experience substance use disorder, and vice versa
Employees with a substance addiction cost on average three times more than those without an addiction in excess medical spend and safety-related costs. Multiple addictions are extremely common, further driving healthcare costs.
Quit Genius delivers a comprehensive and personalized Medication-Assisted Treatment program to help employees with substance addiction access evidence-based care wherever they are.
Quit Genius will put fees at risk if we do not achieve our performance guarantees
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Quit Genius’ turnkey member enrollment experience wins accolades from employers for innovative marketing strategies and consistently high utilization.
“ Quit Genius delivered on their promise for a seamless implementation process and fantastic member engagement. ”
“ We’re pleased to be working closely with our colleagues at Quit Genius, who have developed an extremely compelling digital experience to help people quit smoking. We are seeing consistently high engagement amongst our members, with quit rates at over 50%. Quit Genius has made the implementation of the programme simple, with a strategic and customer-focussed approach to helping people make healthier choices. ”
“ Quit Genius offers an innovative digital solution to help people quit addictions. The implementation process with Quit Genius was straightforward and simple. Their team was very responsive and great to communicate with. I would recommend working with Quit Genius.”
Drug and alcohol use cause more than 65% of on the job accidents. Learn more about employer strategies to combat addiction in your organization to improve workplace safety.
Medication-Assisted Treatment (MAT) is proven. Quit Genius is the only digital program validated in 8 peer reviewed journals and a Randomized-Control Trial. Help your employees return to the best versions of themselves.
validated tobacco quit rate
abstinent or drinking below safe limit
negative opioid tests
greater likelihood of quitting over the course of 1 year with Quit Genius over other programs
We play nice with your existing ecosystem with dozens of integrations including billing through medical claims, your PBM or your existing digital health ecosystem.
A tailored multi-channel outreach campaign designed to de-stigmatize addiction and encourage enrollment in your population.
Each member receives a holistic and personalized care plan specific for their addiction or combination of addictions.
Transparent monthly reporting to help employers track engagement, clinical outcomes and ROI.
Personalized relapse prevention including medication adherence and coaching, to ensure sustained behavior change.
I would drink to blackout. That was the destination I was aiming for. At the point I went into recovery, I despised myself – if someone could have killed me, that would be the best thing.
The critical thing I’ve learned is how to understand what I’m feeling and express that to people.
John, Hedge Fund Manager
Quit Genius Tobacco Program Member
My girlfriend had noticed how much I’m coughing these days, and my mom asked me to quit when she had cancer.
We do a regular walk and I used to have to stop halfway up the hill. It was embarrassing. Now I’m fine. I’ve even taken up running. My step-daughter is impressed, I’m really proud of myself.
Tony, Chef
Quit Genius Tobacco Program Member
My son was having mental health issues and when we took him to seek help, the professional told me that my addiction was the cause. That was the moment for me.
I’m happy to say that I’ve started to rebuild my relationship with my kid.
Damon, Public Transportation
Quit Genius Program Member
