The site for substance use disorder prevention and mental health promotion professionals and volunteers.

Home » Webinar: Partnering to make the most of child development supports

Webinar: Partnering to make the most of child development supports

This webinar introduces "Help Me Grow", "Learn the Signs. Act Early", and "Vroom" and shows how they fit together and can reinforce each other. We will hear how they are being implemented in Washington communities and let you know how you can get started with all three.

"Help Me Grow", "Learn the Signs. Act Early", and "Vroom" all promote healthy child development and help lay the foundation for lifelong health and well-being. "Help Me Grow Washington" is a movement to offer families seamless access to community services and supports. "Learn the Signs. Act Early" provides an easy to use checklist of milestones for parents and caregivers to track and support their child's early development through age 5. "Vroom" translates brain science into fun tips and activities for parents and caregivers of children age 0 to 5. It shows them that they already have what it takes to turn their time with their children into fun, brain building moments.

This webinar will be presented in English.

Who Should Attend:

Providers, partners, and others who work in family support, including those who work directly with families of young children, administer programs, or work on systems improvement.

How to Access the Webinar:

The webinar will be hosted via Zoom. We will email you the Zoom link at least one-day prior to the webinar.

STARS Credits:

If you would like to receive STARS Credit for attending this webinar, you will need to provide your STARS ID when you register.

Other:

This webinar is hosted by the Washington State Department of Health and WithinReach in partnership with Best Starts for Kids - King County and Help Me Grow - Pierce County.

For more information contact Marilyn Gisser at marilyn.gisser@doh.wa.gov

Date and Time: 
August 25, 2021 - 1:00pm to 2:00pm
Location: 
Webinar