Strengthening Assessments of School Climate: Lessons from the NYC School Survey

A growing number of cities and states are using surveys to collect vital information about school climate from students, teachers and parents. The New York City Department of Education's (DOE) annual survey of parents, students, and teachers is the largest of its kind in the United States. Since 2010, the Research Alliance has been working with the DOE to assess the reliability and validity of the survey's measures. Our new brief, "Strengthening Assessments of School Climate", summarizes our findings and recommendations to date. It also presents a set of broader lessons that have emerged from our work, which can provide guidance to others that are implementing school survey efforts. In addition, it includes a Policymaker Perspective, authored by Lauren Sypek, the DOE's School Survey Director, reflecting on the process of collaborating to improve the School Survey as well as some of the changes that have been made to the survey as a result of this partnership

High School Choice in New York City: A Report on the School Choices and Placements of Low-Achieving Students

School choice policies, a fixture of efforts to improve public education in many cities. aim to enable families to choose a school that they believe will best meet their child's needs. In New York City, choice and the development of a diverse portfolio of options have played central roles in the Department of Education's high school reform efforts. This report examines the choices and placements of New York City's lowest-achieving students: those scoring among the bottom 20 percent on standardized state tests in middle school. Focusing on data from 2007 to 2011, the report looks at who these low-achieving students are, including how their demographics compare to other students in NYC, the educational challenges they face, and where they live. The bulk of the report reviews low-achieving students' most preferred schools and the ones to which they were ultimately assigned, assessing how these schools compare to those of their higher-achieving peers. The findings show that low-achieving students attended schools that were lower performing, on average, than those of all other students. This was driven by differences in students' initial choices: low-achieving students' first-choice schools were less selective, lower-performing, and more disadvantaged. Overall, lower-achievingand higher-achieving students were matched to their top choices at the same rate. Importantly, both low- and higher-achieving students appear to prefer schools that are close to home, suggesting that differences in students' choices likely reflect, at least in part, the fact that lower-achieving students are highly concentrated in poor neighborhoods, where options may be more limited

New York City School Survey 2008-2010: Assessing the Reliability and Validity of a Progress Report Measure

A growing number of cities and states are using surveys to collect vital information about school climate from students, teachers and parents. The New York City Department of Education's (DOE) annual survey of parents, students, and teachers is the largest of its kind in the United States. Since 2010, the Research Alliance has been working with the DOE to assess the reliability and validity of the survey's measures. This technical report provides an account of our statistical exploration of the School Survey

Usage Patterns and Perceptions of the Achievement, Reporting and Innovation System (ARIS)

This report offers the first systematic examination of actual usage of New York City's Achievement Reporting and Innovation System (ARIS). ARIS is a comprehensive data system designed to put student information within easy reach of school administrators and teachers. The findings suggest that ARIS has been used successfully as a school-wide planning tool, but was less valuable as a direct aid to classroom instruction. The Research Alliance will continue its study of ARIS through 2013, including an examination of some of the new components and features that have been developed recently by the Department of Education

ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk

PURPOSE: Germline pathogenic variants in CHEK2 confer moderately elevated breast cancer risk (odds ratio, OR ∼ 2.5), qualifying carriers for enhanced breast cancer screening. Besides pathogenic variants, dozens of missense CHEK2 variants of uncertain significance (VUS) have been identified, hampering the clinical utility of germline genetic testing (GGT). EXPERIMENTAL DESIGN: We collected 460 CHEK2 missense VUS identified by the ENIGMA consortium in 15 countries. Their functional characterization was performed using CHEK2-complementation assays quantifying KAP1 phosphorylation and CHK2 autophosphorylation in human RPE1-CHEK2-knockout cells. Concordant results in both functional assays were used to categorize CHEK2 VUS from 12 ENIGMA case-control datasets, including 73,048 female patients with breast cancer and 88,658 ethnicity-matched controls. RESULTS: A total of 430/460 VUS were successfully analyzed, of which 340 (79.1%) were concordant in both functional assays and categorized as functionally impaired (N = 102), functionally intermediate (N = 12), or functionally wild-type (WT)-like (N = 226). We then examined their association with breast cancer risk in the case-control analysis. The OR and 95% CI (confidence intervals) for carriers of functionally impaired, intermediate, and WT-like variants were 2.83 (95% CI, 2.35-3.41), 1.57 (95% CI, 1.41-1.75), and 1.19 (95% CI, 1.08-1.31), respectively. The meta-analysis of population-specific datasets showed similar results. CONCLUSIONS: We determined the functional consequences for the majority of CHEK2 missense VUS found in patients with breast cancer (3,660/4,436; 82.5%). Carriers of functionally impaired missense variants accounted for 0.5% of patients with breast cancer and were associated with a moderate risk similar to that of truncating CHEK2 variants. In contrast, 2.2% of all patients with breast cancer carried functionally wild-type/intermediate missense variants with no clinically relevant breast cancer risk in heterozygous carriers

Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma

SummaryWe report a comprehensive molecular characterization of pheochromocytomas and paragangliomas (PCCs/PGLs), a rare tumor type. Multi-platform integration revealed that PCCs/PGLs are driven by diverse alterations affecting multiple genes and pathways. Pathogenic germline mutations occurred in eight PCC/PGL susceptibility genes. We identified CSDE1 as a somatically mutated driver gene, complementing four known drivers (HRAS, RET, EPAS1, and NF1). We also discovered fusion genes in PCCs/PGLs, involving MAML3, BRAF, NGFR, and NF1. Integrated analysis classified PCCs/PGLs into four molecularly defined groups: a kinase signaling subtype, a pseudohypoxia subtype, a Wnt-altered subtype, driven by MAML3 and CSDE1, and a cortical admixture subtype. Correlates of metastatic PCCs/PGLs included the MAML3 fusion gene. This integrated molecular characterization provides a comprehensive foundation for developing PCC/PGL precision medicine

Proceedings of the 3rd Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2015: advancing efficient methodologies through community partnerships and team science

It is well documented that the majority of adults, children and families in need of evidence-based behavioral health interventionsi do not receive them [1, 2] and that few robust empirically supported methods for implementing evidence-based practices (EBPs) exist. The Society for Implementation Research Collaboration (SIRC) represents a burgeoning effort to advance the innovation and rigor of implementation research and is uniquely focused on bringing together researchers and stakeholders committed to evaluating the implementation of complex evidence-based behavioral health interventions. Through its diverse activities and membership, SIRC aims to foster the promise of implementation research to better serve the behavioral health needs of the population by identifying rigorous, relevant, and efficient strategies that successfully transfer scientific evidence to clinical knowledge for use in real world settings [3]. SIRC began as a National Institute of Mental Health (NIMH)-funded conference series in 2010 (previously titled the “Seattle Implementation Research Conference”; $150,000 USD for 3 conferences in 2011, 2013, and 2015) with the recognition that there were multiple researchers and stakeholdersi working in parallel on innovative implementation science projects in behavioral health, but that formal channels for communicating and collaborating with one another were relatively unavailable. There was a significant need for a forum within which implementation researchers and stakeholders could learn from one another, refine approaches to science and practice, and develop an implementation research agenda using common measures, methods, and research principles to improve both the frequency and quality with which behavioral health treatment implementation is evaluated. SIRC’s membership growth is a testament to this identified need with more than 1000 members from 2011 to the present.ii SIRC’s primary objectives are to: (1) foster communication and collaboration across diverse groups, including implementation researchers, intermediariesi, as well as community stakeholders (SIRC uses the term “EBP champions” for these groups) – and to do so across multiple career levels (e.g., students, early career faculty, established investigators); and (2) enhance and disseminate rigorous measures and methodologies for implementing EBPs and evaluating EBP implementation efforts. These objectives are well aligned with Glasgow and colleagues’ [4] five core tenets deemed critical for advancing implementation science: collaboration, efficiency and speed, rigor and relevance, improved capacity, and cumulative knowledge. SIRC advances these objectives and tenets through in-person conferences, which bring together multidisciplinary implementation researchers and those implementing evidence-based behavioral health interventions in the community to share their work and create professional connections and collaborations

Decrease in Glycemic Index Associated with Improved Glycemic Control among Latinos with Type 2 Diabetes

BACKGROUND: Glycemic index and glycemic load are used to facilitate glucose control among adults with type 2 diabetes, with a low glycemic index diet associated with improved glycemic control. OBJECTIVE: To examine long-term longitudinal associations between changes in glycemic index and glycemic load with glycemic and metabolic control among Latino adults with diabetes. DESIGN: Secondary data from intervention and comparison participants in the Latinos en Control trial (2006 to 2008) were analyzed. PARTICIPANTS/SETTING: Data on dietary intake and metabolic characteristics were from low-income, Latino adults (N = 238; 87.7% Puerto Rican) with type 2 diabetes. INTERVENTION: The Latinos en Control trial was a randomized clinical trial targeting diabetes self-management among Latinos with type 2 diabetes. Participants were randomized to a group-based behavioral intervention or usual care and followed through 12 months. MAIN OUTCOME MEASURES: Outcomes included hemoglobin A1c (HbA1c) levels, fasting blood glucose, lipid profiles, anthropometrics, and blood pressure. STATISTICAL ANALYSIS: Glycemic index and load were analyzed using data from three 24-hour dietary recalls conducted at baseline, 4 months, and 12 months. Repeated measures regression models were used to examine change in glycemic index and load associated with metabolic characteristics at 12 months. Covariates included sex, age, body mass index, blood pressure, total energy intake, medication use and intensity, physical activity, intervention status (intervention vs usual care), and time. RESULTS: Increases in glycemic index from baseline to 12 months were associated with increased logarithm of HbA1c levels (beta = 0.003; P = 0.034) and waist circumference (beta = 0.12; P = 0.026) over time, but not with fasting glucose, blood lipids, or body mass index. There was modest evidence to support small, positive associations between glycemic load and HbA1c levels and waist circumference. CONCLUSIONS: Lowering glycemic index is associated with improvements in certain metabolic risk factors among Latinos with diabetes. Targeting glycemic index may be an important component of dietary strategies for diabetes self-management. All rights reserved