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Chronic early school absence (preschool through third grade) is associated with school failure. The presence of school nurses may lead to fewer absences, and nurse practitioners in school-based health centers (SBHCs) can facilitate a healthier population resulting in improved attendance. Efforts to get students back to school are unexplored in nursing literature. This article describes a nursing intervention to decrease early school absence in two elementary schools K-3 (N = 449) and a Head Start program (N = 130). The Head Start Family Nurse Practitioner (FNP) contacted families of chronically and excessively absent students by telephone, clinic visit at school, or home visit. The aggregate percentage attendance was evaluated by grades (preschool to third grade), schools (Head Start, Elementary Schools 1 and 2), and grades and schools and compared with publicly available school district aggregate data. There were statistically significant increases in attendance from Year 1 to Year 2 at p < .05 at the elementary level but not at the Head Start level. Student demographics, types of contacts, absence reasons (including sick child), and medical diagnoses are described.

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Abstract:The aim of this study was to evaluate the diagnostic value of a hybrid 111In-capromab pendetide fused computed tomography (CT) scan in detecting seminal vesicle invasion (SVI) in the setting of recurrent prostate cancer following primary in situ therapy. The study population comprised 59 patients, who biochemically failed primary in situ treatment based on American Society for Therapeutic Radiology and Oncology criteria. The patients underwent an 111In-capromab pendetide/CT scan at the time of biochemical failure with a prostate (12-core) and seminal vesicle (SV) (8-core) biopsy. The diagnostic properties of the scan and magnetic resonance imaging (MRI) in detecting SVI compared to an SV biopsy were calculated. In total, eight (14%) patients had a positive SV biopsy after primary in situ prostate cancer treatment. Nine (15%) patients had positive uptake of the scan in the SV. When comparing the SV scan results to the SV biopsy, the sensitivity, specificity, positive predictive value, and negative predictive value were 37.5%, 88.2%, 33.3%, and 90.0% (95% confidence interval: 0.44-0.81), respectively. In contrast, the ability of MRI to detect SVI was 50.0%, 81.3%, 40.0%, and 86.7% (95% confidence interval: 0.46-0.85), respectively. Although the sensitivity and positive predictive value of the 111 In-capromab pendetide/CT scan are low, its specificity and negative predictive value are high. Based on these findings, the ability of the 111 In-capromab pendetide/CT scan to detect SVI seems to be comparable with MRI.