Trends in Children’s Mental Health Services Research Funding by the National Institute of Mental Health From 2005 to 2015: A 42% Reduction

Hoagwood, Kimberly; Atkins, Marc S.; Kelleher, Kelly J.; Peth-Pierce, Robin; Olin, S. Serene; Burns, Barbara J.; Landsverk, John; Horwitz, Sarah M.

doi:10.1016/j.jaac.2017.09.433

Cited by 46 publications

(15 citation statements)

References 37 publications

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“…Most studies of risk factors for bipolar disorder focus on examining the risk in an entire group rather than quantifying an individual’s risk of having that disorder, which is essential to advance through personalized monitoring and treatment strategies [ 22 ]. In that regard, analyzing risk prediction models and building risk calculators are essential initial steps toward advancing individualized treatment and eventually, targeted prevention strategies to reduce an individual’s risk [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

“…Despite recent advances in the field of genetics, peripheral, and neuroimaging markers, all three studies reviewed have calculators based on sociodemographic and clinical variables [ 31 , 34 , 35 , 36 , 37 , 38 ]. Despite this, all the risk calculators presented predictive values that are quite promising and comparable to those of risk calculators in other areas of medicine, such as cardiovascular diseases [ 18 , 27 , 28 , 29 ].…”

Section: Discussionmentioning

confidence: 99%

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Risk Calculators in Bipolar Disorder: A Systematic Review

et al. 2020

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Introduction: Early recognition of bipolar disorder improves the prognosis and decreases the burden of the disease. However, there is a significant delay in diagnosis. Multiple risk factors for bipolar disorder have been identified and a population at high-risk for the disorder has been more precisely defined. These advances have allowed the development of risk calculators to predict individual risk of conversion to bipolar disorder. This review aims to identify the risk calculators for bipolar disorder and assess their clinical applicability. Methods: A systematic review of original studies on the development of risk calculators in bipolar disorder was performed. The studies’ quality was evaluated with the Newcastle-Ottawa Quality Assessment Form for Cohort Studies and according to recommendations of the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis Initiative. Results: Three studies met the inclusion criteria; one developed a risk calculator of conversion from major depressive episode to bipolar disorder; one of conversion to new-onset bipolar spectrum disorders in offspring of parents with bipolar disorder; and the last one of conversion in youths with bipolar disorder not-otherwise-specified. Conclusions: The calculators reviewed in this article present good discrimination power for bipolar disorder, although future replication and validation of the models is needed.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Risk Calculators in Bipolar Disorder: A Systematic Review

et al. 2020

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“…86,87 Figure 1 is derived from an Australian model of an integrated approach to MH services, showing how service responsibilities can be divided as well as shared and emphasizing a dynamic relationship among stakeholders at all levels of service. 74…”

Section: Desirable Characteristics Of a System Of Carementioning

confidence: 99%

Developing a Structure of Essential Services for a Child and Adolescent Mental Health System

Schor

2021

Milbank Quarterly

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That child and adolescent mental health services needs are frequently unmet has been known for many decades, yet few systemic solutions have been sought and fewer have been implemented at scale. r Key among the barriers to improving child and adolescent mental health services has been the lack of well-organized primary mental health care. Such care is a mutual but uncoordinated responsibility of multiple disciplines and agencies. r Achieving consensus on the essential structures and processes of mental health services is a feasible first step toward creating an organized system.

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“…School-based universal screening for early identification and prevention of social, emotional, and behavioral concerns has been advocated as part of addressing the need for access to mental health services. 3,6,15 Universal social, emotional, and behavioral screening has the potential to direct mental health services to the students who need them much earlier than traditional systems of teacher referral. If both identification of risk and intervention can occur earlier in a student's life at school, there is a greater likelihood of altering a potentially negative trajectory.…”

Section: Implications For School Healthmentioning

confidence: 99%

“…Research suggests that although a large number of children and adolescents meet the diagnostic criteria for mental health disorders, only a fraction receive mental health services . For educators, a major problem regarding this dearth of support for young people's social, emotional, and behavioral concerns is the possible interference with positive academic outcomes .…”

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confidence: 99%

Exploring the Alignment of Behavior Screening Policies and Practices in US Public School Districts

Auerbach

Chafouleas

Briesch

et al. 2020

Journal of School Health

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BACKGROUND Although recent studies provide information regarding state‐level policies and district‐level practices regarding social, emotional, and behavioral screening, the degree to which these policies influence screening practices is unknown. As such, the purpose of this exploratory study was to compare state‐ and district‐level policies and reported practices around school‐based social, emotional, and behavioral screening. METHODS We obtained data for the present study from three sources: (1) a recent systematic review of state department of education websites; (2) a national survey of 1330 US school districts; and (3) a Web search and review of policy manuals published by the 1330 school districts. Comparative analyses were used to identify similarities and differences across state and district policies and practices. RESULTS Of the 1330 districts searched, 911 had policy manuals available for review; 87 of these policy manuals, which represented 10 states, met inclusion criteria, and thus, were included in analyses. Discrepancies were found across state and district policies and across state social, emotional, and behavioral screening guidance and district practices, but consistencies did exist across district policies within the same state. CONCLUSION District‐level guidance around social, emotional, and behavioral screening appears to be limited. Our findings suggest a disconnect between state‐ and district‐level social, emotional, and behavioral screening guidance and district reported practices, which signifies the need to identify the main influences on district‐ and school‐level screening practices.

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Trends in Children’s Mental Health Services Research Funding by the National Institute of Mental Health From 2005 to 2015: A 42% Reduction

Cited by 46 publications

References 37 publications

Risk Calculators in Bipolar Disorder: A Systematic Review

Risk Calculators in Bipolar Disorder: A Systematic Review

Developing a Structure of Essential Services for a Child and Adolescent Mental Health System

Exploring the Alignment of Behavior Screening Policies and Practices in US Public School Districts

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