Eating disorder treatment that works—delivered at home.
Equip’s virtual, evidence-based care empowers you to beat your eating disorder without pressing pause on your life.
We are in-network with most insurance plans
When you need eating disorder treatment, insurance coverage shouldn’t be on your list of worries. Use the screener below to check if Equip is currently in-network with your health plan.
Plans include:
UnitedHealthcare, Optum, Cigna, Aetna, Anthem, Blue Cross Blue Shield, Magellan, Carelon, Centene
... and many more private and Medicaid plans
Our patients are experiencing an early and sustained response to Equip treatment
Patients requiring weight restoration who reached their target weight
After 16 weeks
49%
Average weekly weight gain for those who need it
After 1 year
75%
Average weekly weight gain for those who need it
Average decrease in eating disorder symptoms
After 16 weeks
47%
Average weekly weight gain for those who need it
After 1 year
66%
Average weekly weight gain for those who need it
What patients say about Equip
Why Equip is different 
Equip delivers virtual, evidence-based treatment that meets you where you are and supports you every step of the way to lasting recovery.
Multidisciplinary 5-person care team
You’re supported by a 5-person care team that includes a therapist, dietitian, medical provider, and mentors who have made it to the other side of recovery.
Virtual treatment— based on evidence
We take the leading eating disorder treatment modalities (CBT-E, DBT, FBT, and more) and bring them to you. Treatment fits into your life, not the other way around.
Support in the real world
We bring your village into the treatment process: family, chosen family, friends, mentors, colleagues. Whatever the configuration, we help each patient create a vast support network to catch them if they stumble. 
Lasting recovery starts with the first step.
Our team is here to take it with you
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All names, likenesses, and identifying information have been changed in accordance with privacy laws. Images are of models, not actual patients.