School nurses (SNs) use public health nursing knowledge and skills to provide nursing services to school populations. The Public Health Intervention Wheel is a practice framework that can be used to explain and guide public health nursing interventions. SNs who were also members of the National Association of School Nurses completed an electronic survey on their use of public health interventions as defined by the wheel. Although 67% of the participants were not familiar with the Public Health Intervention Wheel, respondents reported conducting activities that were consistent with the Wheel interventions. Screening, referral and follow-up, case management, and health teaching were the most frequently performed interventions. Intervention use varied by educational level, age of nurse, years of practice, and student population. The Public Health Intervention Wheel is a relevant and useful framework that provides a language to explain population-based school nursing practice.

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Purpose of Study: This scoping review explored research literature on the integration and coordination of services for high-need, high-cost (HNHC) patients in an attempt to answer the following questions: What models of transitional care are utilized to manage HNHC patients in the United States? and How effective are they in reducing low-value utilization and in improving continuity? Primary Practice Settings: U.S. urban, suburban, and rural health care sites within primary care, veterans' services, behavioral health, and palliative care. Methodology and Sample: Utilizing the Joanna Briggs Institute and PRISMA guidelines for scoping reviews, a stepwise method was applied to search multiple databases for peer-reviewed published research on transitional care models serving HNHC adult patients in the United States from 2008 to 2018. All eligible studies were included regardless of quality rating. Exclusions were foreign models, studies published prior to 2008, review articles, care reports, and studies with participants younger than 18 years. The search returned 1,088 studies, of which 19 were included. Results: Four studies were randomized controlled trials and other designs included case reports and observational, quasi-experimental, cohort, and descriptive studies. Studies focused on Medicaid, Medicare, dual-eligible patients, veterans, and the uninsured or underinsured. High-need, high-cost patients were identified on the basis of prior utilization patterns of inpatient and emergency department visits, high cost, multiple chronic medical diagnoses, or a combination of these factors. Tools used to identify these patients included the hierarchical condition category predictive model, the Elder Risk Assessment, and the 4-year prognostic index score. The majority of studies combined characteristics of multiple case management models with varying levels of impact. Implications for Case Management Practice:

Mapping the distribution and abundance of invasive plants is a high priority, but establishing cost-effective and practical techniques at appropriate scales remains elusive. Mesquite is a highly invasive shrub that cannot currently be reliably distinguished from other plant species using remote sensing technologies, at least not at accuracies necessary for mapping mesquite at very low densities. This paper describes and tests an alternative method. A visual, aerial technique was used to map a large mesquite (Leguminoseae: Prosopis spp.) population in Australia; 216 654 ha was surveyed in 18.5-ha grid cells to include the entire population. The objective was to test the ability of this technique to detect and map mesquite at very low densities for surveillance and to assist in prioritizing management effort and, where mesquite was well established, to categorize mesquite into broad canopy cover classes for change detection and to identify habitat associations. The survey technique was very effective at detecting isolated mesquite plants (, 0.6% canopy cover across a grid cell), which is considerably better than existing remote sensing technologies. Detection of low-density mesquite was particularly important, as most occupied grid cells (55%) had isolated mesquite, and their management may offer the best return on investment. The technique was also competitive cost wise ($0.39 USD per hectare) and required relatively little expertise. Grid cells with moderate (20%-50%) to dense (. 50%) canopy covers were almost all restricted to a 32 500-ha area on the floodplain delta of the Fortescue River, where the original introductions occurred. Cover class estimates appeared to be well calibrated between observers within a survey; however, they were poorly calibrated between independently conducted surveys, suggesting that further methodological refinement is necessary if this technique is to be reliable for change detection. Resumen Mapear la distribución y abundancia de plantas invasoras es una prioridad alta, pero establecer te´cnicas prácticas y efectivas en costos a escala adecuada es aún difícil. El ''Mezquite'' es un arbusto altamente invasivo, el cual actualmente, con tecnologías de sensores remotos, no puede ser distinguido confiablemente de otras plantas, al menos no con la certeza necesaria para mapearlo en densidades muy bajas. Este artículo describe y prueba un me´todo alternativo. Se usó una te´cnica aérea visual para mapear un gran población de ''Mezquite'' (Leguminoseae: Prosopis spp.) en Australia: 216 654 ha fueron muestreadas en una cuadrícula con celdas de 8.5 ha para incluir la población total. El objetivo fue probar la capacidad de esta te´cnica para detectar y mapaear ''Mezquite'' en muy bajas densidades con propósitos de reconocimiento y como auxilio en establecer prioridades de manejo, y donde el mezquite esta bien establecido, categorizarlo en amplias clases de cobertura de copa para detectar cambios e identificar las asociaciones de hábitat. La te´cnica de muestro fue muy efectiva para detectar la...