RAND Study Finds 3C Online Course as Effective as In-Person Training

Researchers at RAND Corporation say an online course developed in collaboration with 3C Institute is as effective as in-person instruction for training clinicians in evidence-based treatments. The study, published online by the journal Psychiatric Services, compared face-to-face training with online training for Interpersonal and Social Rhythm Therapy to treat bipolar disorder.

“Our findings suggest that e-learning may be able to provide an efficient and scalable approach to training large numbers of clinicians in new evidence-based treatments,” said Dr. Bradley D. Stein, the study’s lead author, a practicing psychiatrist, and a senior scientist at RAND. “This may be one way to improve patient care and help solve the problem of how to get new treatments to the front-line mental health workforce.”

Researchers worked with five community outpatient mental health centers and trained thirty-six clinicians: three of the centers participated in an online learning collaborative, and clinicians received twelve hours of self-paced online training plus telephone supervision and online access to experts; clinicians in the other two centers received twelve hours of traditional in-person training over two days with local in-person supervision.

Researchers then asked 136 patients from each of the centers about the treatment they received and found that clinicians trained online used the new skills just as frequently as those trained through in-person instruction. In addition, both groups of clinicians increased their use of the skills at six months and at a year after completing training.

“A goal of the trial was to do this in a way that would be easily replicated in real-world practice,” Stein said. “The amount of time spent in training was the same for both groups. There could be some efficiency through e-learning savings in travel time and expenses for clinical staff or for trainers.”

Dr. Stein and Dr. Ellen Frank, distinguished professor of psychiatry and psychology at the University of Pittsburgh, contracted 3C’s services in personalized e-learning and implementation support to develop and distribute the training, which is available for free at www.ipsrt.org. You can read more about the study on the RAND website.

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    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.