Improving School Climate Through Behavioral Response to Intervention

Author(s):  
Susan Keesey ◽  
Julia Mittelberg

Response to intervention (RTI) is commonly recognized as a schoolwide, systematic service delivery model designed to support academic learning for all students. Similar to the delivery model for academics, behavioral RTI provides a continuum of schoolwide behavioral supports ranging from promoting a positive school climate in Tier 1 to implementing individualized behavioral interventions in Tier 3. This chapter analyzes the systematic, behavioral approach within each tier, including screening, assessment, progress monitoring, and subsequent data analysis. Discussion includes how to use these data to make data-based decisions, develop appropriate goals, and match student need to an appropriate intervention with effective reinforcers. Examples of evidence-based interventions are provided for each tier.

2021 ◽  
pp. 107-117
Author(s):  
Samantha Bates ◽  
LaShonda Linnen ◽  
Stephanie Columbia ◽  
Dawn Anderson-Butcher

This chapter covers the Response to Intervention framework, Positive Behavioral Interventions and Supports, and multitiered systems of supports (MTSS). The Response to Intervention framework is a central step in implementing a successful MTSS framework. MTSS delivers school-based supports across three tiers: tier 1 (universal), tier 2 (targeted), and tier 3 (individualized). The MTSS framework is a resource that enables schools to use data not only to identify students at risk for poor learning outcomes but also to monitor student progress and deliver evidence-based interventions. The chapter provides examples of ways social workers can maximize the utility of these models and school teams to improve student outcomes.


2021 ◽  
pp. 109830072199608
Author(s):  
Angus Kittelman ◽  
Sterett H. Mercer ◽  
Kent McIntosh ◽  
Robert Hoselton

The purpose of this longitudinal study was to examine patterns in implementation of Tier 2 and 3 school-wide positive behavioral interventions and supports (SWPBIS) systems to identify timings of installation that led to higher implementation of advanced tiers. Extant data from 776 schools in 27 states reporting on the first 3 years of Tier 2 implementation and 359 schools in 23 states reporting on the first year of Tier 3 implementation were analyzed. Using structural equation modeling, we found that higher Tier 1 implementation predicted subsequent Tier 2 and Tier 3 implementation. In addition, waiting 2 or 3 years after initial Tier 1 implementation to launch Tier 2 systems predicted higher initial Tier 2 implementation (compared with implementing the next year). Finally, we found that launching Tier 3 systems after Tier 2 systems, compared with launching both tiers simultaneously, predicted higher Tier 2 implementation in the second and third year, so long as Tier 3 systems were launched within 3 years of Tier 2 systems. These findings provide empirical guidance for when to launch Tier 2 and 3 systems; however, we emphasize that delays in launching advanced systems should not equate to delays in more intensive supports for students.


Author(s):  
Evelyn S. Johnson

Response to intervention (RTI) is a framework that can help ensure the academic strengths and needs of students are met effectively and efficiently. Patterned on a public health model of prevention, the focus of RTI is on preventing and intervening for academic challenges through a system of increasingly intensive supports, where the least intensive but most effective option is the most desirable. RTI models consist of the key essential components of effective inclusive instruction, universal screening, progress monitoring, data-based instructional decision-making, tiered levels of evidence-based and culturally responsive interventions, and fidelity of implementation. When the RTI framework is well implemented, most students are successful in the general education environment. In the general education classroom, teachers provide quality core, or Tier 1, instruction for all students. Even with high-quality instruction, however, not all students will be successful. Between 10 and 15% of the student population will likely need more intensive academic support at some point during their schooling, typically referred to as Tier 2 intervention. Tier 2 provides a system of evidence-based intervention, designed to meet the needs of most students at risk for poor academic outcomes. Tier 2 interventions are meant to be short in duration, focused on improving skill deficits that interfere with students’ success, and comprised of systematic approaches to providing student support. For some students whose needs cannot be met through Tier 1 or 2 instruction, an even more intensive level of intervention will be required. Tier 3 consists of specially designed interventions to support the needs of students who require a more individualized, intensive instructional program. Through this multi-leveled prevention system, the RTI framework provides supports to students that are appropriate to their needs within an environment of equity, efficiency, and accountability. With a well-structured, rigorous implementation of RTI, schooling becomes much more fluid and responsive to meet student needs.


2018 ◽  
Vol 30 (2) ◽  
Author(s):  
Lee R. Pearce

This article describes a Response to Intervention (RTI) model of service delivery implemented within a rural elementary school for students in kindergarten through fifth grade experiencing significant emotional and behavioral difficulties. A multi-tiered model is presented that includes school wide interventions in Tier 1, as well as a six separate interventions applied within Tier 2 and Tier 3. These included applied behavioral analysis, social skills training, counseling,  differentiated instruction, cognitive behavioral interventions and parent involvement designed to assist identified students with improving prosocial skills. Nine children were treated within this program model over a two year period, resulting in two students being placed in special education under the category of emotional disturbance by the project’s termination. Positive and negative aspects of the project’s implementation are reviewed, along with directions for future research.  


2012 ◽  
Vol 36 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Joseph R. Jenkins ◽  
Ellen Schiller ◽  
Jose Blackorby ◽  
Sara Kalb Thayer ◽  
W. David Tilly

This article describes how a purposeful sample of 62 elementary schools from 17 states implemented a Response to Intervention (RtI) framework for reading. School informants answered surveys and were interviewed about differentiated instruction in Tier 1, screening/benchmarking, where Tier 2 interventions were located, typical group size and the minutes/day of intervention in Tiers 2 and 3 groups, and how students with individualized educational programs (IEPs) in reading were served in the school’s RtI model. Schools reported using differentiated instruction in Tier 1, favored curriculum-based measures for screening/benchmarking and progress monitoring, reported more intensive interventions and more progress monitoring in Tier 3, and used a wide variety of models for serving students with IEPs within the schools’ RtI models.


2021 ◽  
Vol 13 (15) ◽  
pp. 8420
Author(s):  
Peter W. Sorensen ◽  
Maria Lourdes D. Palomares

To assess whether and how socioeconomic factors might be influencing global freshwater finfisheries, inland fishery data reported to the FAO between 1950 and 2015 were grouped by capture and culture, country human development index, plotted, and compared. We found that while capture inland finfishes have greatly increased on a global scale, this trend is being driven almost entirely by poorly developed (Tier-3) countries which also identify only 17% of their catch. In contrast, capture finfisheries have recently plateaued in moderately-developed (Tier-2) countries which are also identifying 16% of their catch but are dominated by a single country, China. In contrast, reported capture finfisheries are declining in well-developed (Tier-1) countries which identify nearly all (78%) of their fishes. Simultaneously, aquacultural activity has been increasing rapidly in both Tier-2 and Tier-3 countries, but only slowly in Tier-1 countries; remarkably, nearly all cultured species are being identified by all tier groups. These distinctly different trends suggest that socioeconomic factors influence how countries report and conduct capture finfisheries. Reported rapid increases in capture fisheries are worrisome in poorly developed countries because they cannot be explained and thus these fisheries cannot be managed meaningfully even though they depend on them for food. Our descriptive, proof-of-concept study suggests that socioeconomic factors should be considered in future, more sophisticated efforts to understand global freshwater fisheries which might include catch reconstruction.


Author(s):  
Steven G. Fritz ◽  
John C. Hedrick ◽  
Tom Weidemann

This paper describes the development of a low emissions upgrade kit for EMD GP20D and GP15D locomotives. These locomotives were originally manufactured in 2001, and met EPA Tier 1 locomotive emission regulations. The 1,491 kW (2,000 HP) EMD GP20D locomotives are powered by Caterpillar 3516B engines, and the 1,119 kW (1,500 HP) EMD GP15D locomotives are powered by Caterpillar 3512B engines. CIT Rail owns a fleet of 50 of these locomotives that are approaching their mid-life before first overhaul. Baseline exhaust emissions testing was followed by a low emissions retrofit development focusing on fuel injection timing, crankcase ventilation filtration, and application of a diesel oxidation catalyst (DOC), and then later a diesel particulate filter (DPF). The result was a EPA Tier 0+ certification of the low emissions upgrade kit, with emission levels below EPA Line-Haul Tier 3 NOx, and Tier 4 HC, CO, and PM levels.


2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 14-14
Author(s):  
Charu Aggarwal ◽  
Melina Elpi Marmarelis ◽  
Wei-Ting Hwang ◽  
Dylan G. Scholes ◽  
Aditi Puri Singh ◽  
...  

14 Background: Current NCCN guidelines recommend comprehensive molecular profiling for all newly diagnosed patients with metastatic non-squamous NSCLC to enable the delivery of personalized medicine. We have previously demonstrated that incorporation of plasma based next-generation gene sequencing (NGS) improves detection of clinically actionable mutations in patients with advanced NSCLC (Aggarwal et al, JAMA Oncology, 2018). To increase rates of comprehensive molecular testing at our institution, we adapted our clinical practice to include concurrent use of plasma (P) and tissue (T) based NGS upon initial diagnosis. P NGS testing was performed using a commercial 74 gene assay. We analyzed the impact of this practice change on guideline concordant molecular testing at our institution. Methods: A retrospective cohort study of patients with newly diagnosed metastatic non-squamous NSCLC following the implementation of this practice change in 12/2018 was performed. Tiers of NCCN guideline concordant testing were defined, Tier 1: complete EGFR, ALK, BRAF, ROS1, MET, RET, NTRK testing, Tier 2: included above, but with incomplete NTRK testing, Tier 3: > 2 genes tested, Tier 4: single gene testing, Tier 5: no testing. Proportion of patients with comprehensive molecular testing by modality (T NGS vs. T+P NGS) were compared using one-sided Fisher’s exact test. Results: Between 01/2019, and 12/2019, 170 patients with newly diagnosed metastatic non-Sq NSCLC were treated at our institution. Overall, 98.2% (167/170) patients underwent molecular testing, Tier 1: n = 100 (59%), Tier 2: n = 39 (23%), Tier 3/4: n = 28 (16.5%), Tier 5: n = 3 (2%). Amongst these patients, 43.1% (72/167) were tested with T NGS alone, 8% (15/167) with P NGS alone, and 47.9% (80/167) with T+P NGS. A higher proportion of patients underwent comprehensive molecular testing (Tiers 1+2) using T+P NGS: 95.7% (79/80) compared to T alone: 62.5% (45/72), p < 0.0005. Prior to the initiation of first line treatment, 72.4% (123/170) patients underwent molecular testing, Tier 1: n = 73 (59%), Tier 2: n = 27 (22%) and Tier 3/4: n = 23 (18%). Amongst these, 39% (48/123) were tested with T NGS alone, 7% (9/123) with P NGS alone and 53.6% (66/123) with T+P NGS. A higher proportion of patients underwent comprehensive molecular testing (Tiers 1+2) using T+P NGS, 100% (66/66) compared to 52% (25/48) with T NGS alone (p < 0.0005). Conclusions: Incorporation of concurrent T+P NGS testing in treatment naïve metastatic non-Sq NSCLC significantly increased the proportion of patients undergoing guideline concordant molecular testing, including prior to initiation of first-line therapy at our institution. Concurrent T+P NGS should be adopted into institutional pathways and routine clinical practice.


Author(s):  
James B O'Keefe ◽  
Elizabeth J Tong ◽  
Thomas H Taylor ◽  
Ghazala D Datoo O'Keefe ◽  
David C Tong

Objective: To determine whether a risk prediction tool developed and implemented in March 2020 accurately predicts subsequent hospitalizations. Design: Retrospective cohort study, enrollment from March 24 to May 26, 2020 with follow-up calls until hospitalization or clinical improvement (final calls until June 19, 2020) Setting: Single center telemedicine program managing outpatients from a large medical system in Atlanta, Georgia Participants: 496 patients with laboratory-confirmed COVID-19 in isolation at home. Exclusion criteria included: (1) hospitalization prior to telemedicine program enrollment, (2) immediate discharge with no follow-up calls due to resolution. Exposure: Acute COVID-19 illness Main Outcome and Measures: Hospitalization was the outcome. Days to hospitalization was the metric. Survival analysis using Cox regression was used to determine factors associated with hospitalization. Results: The risk-assessment rubric assigned 496 outpatients to risk tiers as follows: Tier 1, 237 (47.8%); Tier 2, 185 (37.3%); Tier 3, 74 (14.9%). Subsequent hospitalizations numbered 3 (1%), 15 (7%), and 17 (23%) and for Tiers 1-3, respectively. From a Cox regression model with age ≥ 60, gender, and self-reported obesity as covariates, the adjusted hazard ratios using Tier 1 as reference were: Tier 2 HR=3.74 (95% CI, 1.06-13.27; P=0.041); Tier 3 HR=10.87 (95% CI, 3.09-38.27; P<0.001). Tier was the strongest predictor of time to hospitalization. Conclusions and Relevance: A telemedicine risk assessment tool prospectively applied to an outpatient population with COVID-19 identified both low-risk and high-risk patients with better performance than individual risk factors alone. This approach may be appropriate for optimum allocation of resources.


2018 ◽  
Vol 52 (3) ◽  
pp. 131-141
Author(s):  
Jennifer A. Kurth ◽  
Alison L. Zagona

With more schools implementing Schoolwide Positive Behavioral Interventions and Supports (SWPBIS) and achieving valued student outcomes associated with these efforts, the inclusion of students with extensive and pervasive support needs (i.e., “severe” disabilities) in this tiered system must be considered. These students remain programmatically and physically separated from general education instruction and activities. Given that SWPBIS is implemented in general education settings and it is designed to support all students, the purpose of this study was to investigate SWPBIS coaches’ perceptions of the involvement of students with extensive support needs in SWPBIS processes and procedures within one state. Findings suggest the coaches believe that students with extensive support needs are physically and programmatically separated from Tier 1 SWPBIS instruction and activities, with few general educators expressing participation in facilitating their involvement. Implications and recommendations for these findings are provided.


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