Mindfulness Based Cognitive Training is an 8-week course adapted from Mindfulness Based Cognitive Therapy (MBCT)
that combines cognitive behavioral skills and self-compassion with mindfulness attitudes and practices to help participants relate differently to their inner experiences. MBCT is a research supported approach to preventing the relapse of chronic depression and it is also proving useful with anxiety. The course includes handouts, eight weekly 2-hour classes in the evenings, and a half day retreat on a weekend from 9 am - 1 pm. Participants receive access to guided practice recordings and are encouraged to purchase the MBCT self-help guide
to continue the practices after the course ends.
This is a skill building course meant to compliment psychological treatment, and should not be considered therapy. Registrants are required to:
- complete the pre-class paperwork here https://forms.gle/5m3U6QvtZD2c9B7R8
- schedule a free pre-course consultation via Zoom with the teacher to make sure the program is right for you. We will reach out to you about this.
Meeting Dates and Times
Wednesdays from 6-8 pm Central time starting March 29, 2023 + Retreat Sunday May 7 from 9 am - 1 pm (please indicate on the pre-class paperwork whether you prefer to attend online or on site at 11100 Ash Street, Suite 103 Leawood, KS 66211)
$700 (MAM members receive a 20% discount by using discount code MEMBERS20 upon check out). Those with extreme financial need are invited to purchase a pay what you can pass before registering for the course.
The deadline to enroll is one week before the course begins and there will be no refunds provided after this date. No makeup classes will be offered for missed classes. In the unlikely event that the course is cancelled, you will receive a full refund of the registration fee, but refunds will not be provided for any pre-arranged transportation, accommodations or other miscellaneous expenses.
**MO & KS licensed mental health professionals can earn up to 20 continuing education units by participating in this course.