As previously described, the overall mission of the Johns Hopkins Center for Prevention and Early Intervention (JHU CPEI) is to is to develop, test feasibility and acceptability, implement, evaluate, and disseminate research and research methodologies to improve the outcomes of elementary and middle school-based preventive and early interventions aimed at reducing aggressive and disruptive behavior in children and youth. The JHU CPEI seeks to aid our nation's efforts to reduce the incidence and prevalence of children's mental/ behavioral disorders and associated impairments by aiding local schools and communities (1) in creating supportive learning environments for all students and (2) seamlessly linking children and youth not responding to universal interventions with indicated preventive interventions. To accomplish this task, we need more effective interventions and guidance concerning the design of research, the interpretation of data, and the targeting of interventions to those most likely to benefit. This is best accomplished when methodologists work closely with interventionists and both have access to policy makers and providers. We have previously described (see Research Methods Core) the initiatives we will undertake to meet the methodological challenges of effectiveness research in schools. We now describe the specific feasibility and pilot intervention Initiatives for which we are requesting funds. The activities proposed here benefit considerably from the 23-year academic/community partnership with the Baltimore City Public School System (BCPSS).

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Center Core Grants (P30)
Project #
5P30MH086043-05
Application #
8431420
Study Section
Special Emphasis Panel (ZMH1-ERB-H)
Project Start
Project End
2015-02-28
Budget Start
2013-03-01
Budget End
2014-02-28
Support Year
5
Fiscal Year
2013
Total Cost
$366,423
Indirect Cost
$68,272
Name
Johns Hopkins University
Department
Type
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Johnston, Stephen S; Salkever, David S; Ialongo, Nicholas S et al. (2017) Estimating the Economic Value of Information for Screening in Disseminating and Targeting Effective School-based Preventive Interventions: An Illustrative Example. Adm Policy Ment Health 44:932-942
Capron, Daniel W; Allan, Nicholas P; Ialongo, Nicholas S et al. (2015) The depression distress amplification model in adolescents: A longitudinal examination of anxiety sensitivity cognitive concerns, depression and suicidal ideation. J Adolesc 41:17-24
Stuart, Elizabeth A; Jo, Booil (2015) Assessing the sensitivity of methods for estimating principal causal effects. Stat Methods Med Res 24:657-74
Bray, Bethany C; Lee, Grace P; Liu, Weiwei et al. (2014) Transitions in gambling participation during late adolescence and young adulthood. J Adolesc Health 55:188-94
Rudolph, Kara E; Díaz, Iván; Rosenblum, Michael et al. (2014) Estimating population treatment effects from a survey subsample. Am J Epidemiol 180:737-48
Lee, Grace P; Stuart, Elizabeth A; Ialongo, Nicholas S et al. (2014) Parental monitoring trajectories and gambling among a longitudinal cohort of urban youth. Addiction 109:977-85
Wang, Chen-Pin; Jo, Booil; Brown, C Hendricks (2014) Causal inference in longitudinal comparative effectiveness studies with repeated measures of a continuous intermediate variable. Stat Med 33:3509-27
Rosenblum, Michael (2014) Uniformly Most Powerful Tests for Simultaneously Detecting a Treatment Effect in the Overall Population and at Least One Subpopulation. J Stat Plan Inference 155:107-116
Slade, Eric P; Becker, Kimberly D (2014) Understanding proximal-distal economic projections of the benefits of childhood preventive interventions. Prev Sci 15:807-17
Martins, Silvia S; Lee, Grace P; Kim, June H et al. (2014) Gambling and sexual behaviors in African-American adolescents. Addict Behav 39:854-60

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