Innovations in Preventive Mental Health Care Services for Adolescents
ABSTRACT This descriptive study examined programs designed to provide mental health-related preventive services to at-risk adolescents.
Qualitative interviews were conducted with state and local program directors and key personnel in public health and mental health departments and academic researchers who have initiated preventive services.
States and local communities offer varied mental health-related preventive services for high-risk adolescents in diverse settings. Services include public education, screening, early intervention for adolescents, and educational programs for primary care providers. Funding mechanisms include state general funds, foundation grants, and Medicaid and the State Children's Health Insurance Program dollars. Evaluation is essential to maintain services and to persuade funders and other stakeholders to sustain these efforts.
State and local prevention-related mental health programs have been implemented with limited funding, but significant local advocacy and community support. More extensive evaluation and cost effectiveness studies may encourage policymakers to expand services. Further data are necessary to determine how prevention-related mental health programs can best serve vulnerable youth.
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ABSTRACT: The purpose of this study is to compare the mental health risk profile and health utilization behaviors of adolescent school-based health center (SBHC) users and nonusers and discuss the role that SBHCs can play in addressing adolescent health needs. The sample included 4640 students in grades 9 and 11 who completed the California Healthy Kids Survey between fall 2000 and spring 2005 at 4 high schools in Alameda County, California. Chi-squared tests of significance and multivariate logistic regression were used to compare characteristics of SBHC users and nonusers and identify demographic, health status, and behavioral characteristics predictive of SBHC use. Controlling for demographic variables and general health status, students who reported frequent feelings of sadness, trouble sleeping, suicide ideation, alcohol or marijuana use, the recent loss of a close friend or relationship, or other difficult life event were significantly more likely to seek SBHC services than their peers. Neither health insurance status nor a student's "usual" source of health care was predictive of general SBHC use, but being on public assistance or having no insurance was predictive of a student seeking SBHC mental health services. These findings suggest that SBHCs are able to attract students with the most serious mental health concerns and can play an important role in meeting needs that might otherwise go unmet. The provision of SBHC mental health services in particular may fill a need among adolescents with public or no insurance.Journal of School Health 03/2011; 81(3):138-45. DOI:10.1111/j.1746-1561.2010.00572.x · 1.43 Impact Factor
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ABSTRACT: Many US policies that affect health are made at the state, not the federal, level. Identifying state-level policies and data to analyze how different policies affect outcomes may help policy makers ascertain the usefulness of their public policies and funding decisions in improving the health of adolescent populations. A framework for describing and assessing the role of federal and state policies on adolescent health and well-being is proposed; an example of how the framework might be applied to the issue of teen childbearing is included. Such a framework can also help inform analyses of whether and how state and federal policies contribute to the variation across states in meeting adolescent health needs. A database on state policies, contextual variables, and health outcomes data can further enable researchers and policy makers to examine how these factors are associated with behaviors they aim to impact. Expected final online publication date for the Annual Review of Public Health Volume 35 is March 18, 2014. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.Annual Review of Public Health 01/2014; 35. DOI:10.1146/annurev-publhealth-032013-182455 · 6.47 Impact Factor