Research News

To ensure that we are providing the best and most current information to our members, NAMI monitors current research across the field of mental health. On this page, you can find up-to-date information from government organizations like the National Institute of Mental Health (NIMH), private institutions like the Stanley Center for Psychiatric Research, and academic and industry researchers.  

For more new stories from the National Institute of Mental Health, please visit their Science News website.

For more new stories from Substance Abuse and Mental Health Services, please visit their Newsletter website.

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Telepsychiatry Significantly Increases Children’s Access to Mental Health Treatment

Jul 15 2019
Nearly half of all children with mental health conditions in the U.S. do not receive treatment. Many states have established telephone hotlines that allow primary care doctors to virtually consult with a child psychiatrist, reducing the need for specialist appointments. Using data from the National Survey of Children’s Health, NIH-funded researchers at the RAND Corporation have shown that children living in states where this service is available are more likely to receive mental health care. This evidence supports further expansion of telepsychiatry to reduce the treatment gap. To learn more, please visit the RAND website.

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SAMHSA and CMS Issue New Guidance For States And Schools To Support Student Mental Health

Jul 01 2019
SAMHSA and CMS have jointly released a new resource bulletin for educators, advocates and administrators preparing for the coming school year. Schools can fill a critical role in identifying children and adolescents who are experiencing mental health or substance use issues and connecting them to necessary treatment and support. SAMHSA and CMS provide examples of school-based services, identify applicable Medicaid state plan benefits and summarize best-practice models for implementing mental health services for students. To download the guide, please visit the SAMHSA website.

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Language Patterns May Predict Episodes Of Psychosis In At-Risk Individuals

Jun 25 2019
By studying the behaviors and experiences of at-risk individuals, researchers hope to identify signs of an oncoming episode of psychosis. Past research indicates that language patterns are one such sign. A new study used a machine learning system to analyze the speech patterns of 30 young people at risk of developing psychosis and 30,000 contributors to the social network site Reddit. The machine learning system was able to predict which at-risk individuals would develop psychosis in the following two years with 93% accuracy. This represents a major opportunity to intervene and potentially prevent poor outcomes for at-risk individuals. To learn more about this study, please visit the NIH website.  

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