Guiding Principles for Team-Based Pediatric Care.

The American Academy of Pediatrics (AAP) recognizes that children's unique and ever-changing needs depend on a variety of support systems. Key components of effective support systems address the needs of the child and family in the context of their home and community and are dynamic so that they reflect, monitor, and respond to changes as the needs of the child and family change. The AAP believes that team-based care involving medical providers and community partners (eg, teachers and state agencies) is a crucial and necessary component of providing high-quality care to children and their families. Team-based care builds on the foundation of the medical home by reaching out to a potentially broad array of participants in the life of a child and incorporating them into the care provided. Importantly, the AAP believes that a high-functioning team includes children and their families as essential partners. The overall goal of team-based care is to enhance communication and cooperation among the varied medical, social, and educational partners in a child's life to better meet the global needs of children and their families, helping them to achieve their best potential. In support of the team-based approach, the AAP urges stakeholders to invest in infrastructure, education, and privacy-secured technology to meet the needs of children. This statement includes limited specific examples of potential team members, including health care providers and community partners, that are meant to be illustrative and in no way represent a complete or comprehensive listing of all team members who may be of importance for a specific child and family.

Development and Validation of a Method to Identify Children With Social Complexity Risk Factors.

OBJECTIVES: We sought to develop and validate a method to identify social complexity risk factors (eg, limited English proficiency) using Minnesota state administrative data. A secondary objective was to examine the relationship between social complexity and caregiver-reported need for care coordination. METHODS: A total of 460 caregivers of children with noncomplex chronic conditions enrolled in a Minnesota public health care program were surveyed and administrative data on these caregivers and children were obtained. We validated the administrative measures by examining their concordance with caregiver-reported indicators of social complexity risk factors using tetrachoric correlations. Logistic regression analyses subsequently assessed the association between social complexity risk factors identified using Minnesota's state administrative data and caregiver-reported need for care coordination, adjusting for child demographics. RESULTS: Concordance between administrative and caregiver-reported data was moderate to high (correlation range 0.31-0.94, all P values <.01), with only current homelessness (r = -0.01, P = .95) failing to align significantly between the data sources. The presence of any social complexity risk factor was significantly associated with need for care coordination before (unadjusted odds ratio = 1.65; 95% confidence interval, 1.07-2.53) but not after adjusting for child demographic factors (adjusted odds ratio = 1.53; 95% confidence interval, 0.98-2.37). CONCLUSIONS: Social complexity risk factors may be accurately obtained from state administrative data. The presence of these risk factors may heighten a family's need for care coordination and/or other services for children with chronic illness, even those not considered medically complex.

Depression screening and management among adolescents in primary care: factors associated with best practice.

OBJECTIVE: To compare depression identification and management perceptions and practices between professions and disciplines in primary care and examine factors that increase the likelihood of administering a standardized depression screening instrument, asking about patients' depressive symptoms, and using best practice when managing depressed adolescents. METHODS: Data came from an online survey of clinicians in Minnesota (20% response rate). Analyses involved bivariate tests and linear regressions. RESULTS: The analytic sample comprised 260 family medicine physicians, 127 pediatricians, 96 family nurse practitioners, and 54 pediatric nurse practitioners. Overall, few differences emerged between physicians and nurse practitioners or family and pediatric clinicians regarding addressing depression among adolescents. Two factors associated with administering a standardized instrument included having clear protocols for follow-up after depression screening and feeling better prepared to address depression among adolescents. CONCLUSIONS: Enhancing clinicians' competence to address depression and developing postscreening protocols could help providers implement universal screening in primary care.