3cisd

3C Institute

The SHAPE System 
Web-based portal advances schools' mental health quality and sustainability goals

The Challenge

Schools are the most common place students receive mental health services, but many schools and districts don’t have a way to assess or track their mental health programs.

The Solution

With funding from the U.S. Department of Health and Human Services, the Center for School Mental Health at the University of Maryland School of Medicine partnered with 3C Institute to develop a web-based portal that helps schools and districts assess and improve their comprehensive school mental health systems.

The School Health and Performance Evaluation System, or the SHAPE System, is a free resource that helps educators measure the quality and sustainability of their mental health programs as well as their level of trauma responsiveness. The SHAPE System then promotes partnership among these schools and districts to deliver the best evidence-based mental health services.

After registering, school and district team members can take performance assessments related to quality, sustainability, and trauma responsiveness and get immediate feedback and targeted resources. This gives educators a starting point for improving their tiered mental health systems.

In addition to getting feedback and valuable resources, schools and districts that complete the assessments receive SHAPE star recognition, which they can use to increase opportunities for state, federal, and local grant funding.

The Results

Dr. Sharon Hoover, co-director for the Center for School Mental Health, cited 3C Institute’s contributions as a technology partner in the development of the SHAPE System and as an important thought partner in the development of a platform that allows for schools nationwide to assess and evaluate their school mental health quality and sustainability over time. To date, nearly 1,000 schools and districts from around the country have joined, and more are joining every day.

To learn more, watch Dr. Hoover’s webinar, SHAPE 101, or visit the SHAPE System’s website.

Let's Talk

Find out more about our research.

Related

News

DEB CHILDRESS, PHD

Chief of Research and Learning Content

BIOGRAPHY

Dr. Childress obtained her PhD in psychology at the University of North Carolina at Chapel Hill. Prior to coming to 3C Institute, she served as a research associate and a postdoctoral fellow in the Carolina Institute for Developmental Disabilities at the University of North Carolina at Chapel Hill working on a longitudinal imaging study aimed at identifying the early markers of autism through behavioral and imaging methodologies. She has 19 years of autism research experience, during which she has examined the behavioral, personality, and cognitive characteristics of individuals with autism and their family members. Dr. Childress also has experience developing behavioral and parent report measurement tools, coordinating multi-site research studies, and collecting data from children and families. She has taught courses and seminars in general child development, autism, and cognitive development at the University of North Carolina at Chapel Hill.

Expertise

  • autism
  • early development
  • behavioral measurement
  • integrating behavioral and biological measurement

Education

  • Postdoctoral fellowship, Carolina Institute for Developmental Disabilities (Institutional NRSA-NICHD), University of North Carolina at Chapel Hill
  • PhD, developmental psychology, University of North Carolina at Chapel Hill
  • BS, psychology (minor in sociology), University of Iowa

Selected Publications

  • Elison, J. T., Wolff, J. J., Heimer, D. C., Paterson, S. J., Gu, H., Hazlett, H. C., Styner, M, Gerig, G., & Piven, J. (in press). Frontolimbic neural circuitry at 6 months predicts individual differences in joint attention at 9 months. Developmental Science.
  • Wassink, T. H., Vieland, V. J., Sheffield, V. C., Bartlett, C. W., Goedken, R., Childress, D. & Piven, J. (2008). Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16. Psychiatric Genetics,18(2),85-91.
  • Losh, M., Childress, D., Lam K. & Piven, J. (2008). Defining key features of the broad autism phenotype: A comparison across parents of multiple- and single-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 147B(4):424-33.
  • Wassink, T. H., Piven, J., Vieland, V. J., Jenkins, L., Frantz R., Bartlett, C. W., Goedken, R., … Sheffield, V.C. (2005). Evaluation of the chromosome 2q37.3 gene CENTG2 as an autism susceptibility gene. American Journal of Medical Genetics (Neuropsychiatric Genetics), 136, 36-44.
  • Barrett, S., Beck, J., Bernier, R., Bisson, E., Braun, T., Casavant, T., Childress, D., … Vieland, V. (1999). An autosomal genomic screen for autism. American Journal of Medical Genetics (Neuropsychiatric Genetics), 88, 609-615. doi: 10.1002/(SICI)1096-8628(19991215)88:63.0.CO;2-L
  • Piven, J., Palmer, P., Landa, R., Santangelo, S., Jacobi, D. & Childress, D. (1997). Personality and language characteristics in parents from multiple-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 74, 398-411.
  • Piven, J., Palmer, P., Jacobi, D., Childress, D. & Arndt, S. (1997). Broader autism phenotype: Evidence from a family history study of multiple-incidence autism families. American Journal of Psychiatry, 154, 185-190.