Melanie Pellecchia

Child characteristics associated with outcome for children with autism in a school-based behavioral intervention

This study examined the extent to which clinical and demographic characteristics predicted outcome for children with autism spectrum disorder. Participants included 152 students with autism spectrum disorder in 53 kindergarten-through-second-grade autism support classrooms in a large urban public school district. Associations between child characteristics (including age, language ability, autism severity, social skills, adaptive behavior, co-occurring psychological symptoms, and restrictive and repetitive behavior) and outcome, as measured by changes in cognitive ability following one academic year of an intervention standardized across the sample were evaluated using linear regression with random effects for classroom. While several scales and subscales had statistically significant bivariate associations with outcome, in adjusted analysis, only age and the presence of symptoms associated with social anxiety, such as social avoidance and social fearfulness, as measured through the Child Symptom Inventory-4, were associated with differences in outcome. The findings regarding the role of social anxiety are new and have important implications for treatment. Disentangling the construct of social anxiety to differentiate between social fearfulness and social motivation has important implications for shifting the focus of early treatment for children with autism spectrum disorder.

We're All in This Together Now: Group Performance Feedback to Increase Classroom Team Data Collection.

This studys primary goal was to evaluate the use of performance feedback procedures delivered to a classroom team to increase daily data collection. Performance feedback (PFB) was delivered to four classroom teams responsible for the daily collection of data representing student performance during prescribed instructional activities. Using a multiple-baseline design, the effects of the team performance-feedback were evaluated for the target student, and for generalization to data collection for all classroom students. A secondary question evaluated if student on-task behavior correlated with increased data collection. Finally, social validity was investigated to evaluate team satisfaction with the PFB intervention. The results demonstrate improved data collection across all four classroom teams for the target student in each classroom and generalization within classrooms to all remaining students. Slight increases in student on-task behavior were observed in three of the four classrooms, and teacher satisfaction ratings were high.

Community-academic partnerships in implementation research

Community-academic partnerships(CAPs) are a critical component of implementing and sustaining evidence-based practices (EBPs) in community settings; however, the approaches used and mechanisms of change within CAPs have not been rigorously studied. The first step to advancing the science of CAP is to operationally define and contextualize the approaches used in CAP as part of the implementation process. Our research group has gleaned valuable lessons about the best ways to develop, support, and nurture community partnerships within the context of implementation. In this article, we share these lessons learned and relate them to implementation strategies that are most relevant to community-partnered implementation endeavors. The implementation strategies most relevant to CAPs are as follows: (a) building a coalition, (b) conducting local consensus discussions, (c) identifying barriers and facilitators to implementation, (d) facilitating interactive problem solving, (e) using an advisory board or workgroup, (f) tailoring strategies, (g) promoting adaptability, and (h) auditing and providing feedback. We offer suggestions for future research to systematically evaluate these strategies, with an eye toward advancing the science of CAP and implementation science and the goal of guiding future research and improving the implementation of EBPs in community settings.

Classroom Interventions for Youth with Pervasive Developmental Disorders/Autism Spectrum Disorders

Classroom-based interventions for students on the Autism Spectrum vary widely in philosophy and evidence-based. This chapter describes the Developmental and Behavioral philosophies that inform intervention and dissemination researchers and how they understand the structural and functional differences in behavior: and subsequently, how interventions are then conceptualized and developed. We then describe be a convergence of developmental and behavioral intervention strategies and procedures that show great promise. For each of the classroom-based interventions selected for this chapter, we present the available and relevant research-base, and offer recommendations for follow-up research when warranted. Next, we discuss the importance of implementation fidelity in effectiveness trials thus allow clinical and research communities to make informed decisions about intervention selection. Finally, we discuss the use of IQ score as the primary student outcome measure, and question whether the interventions were designed to change IQ, or something else.

It's messy but real: a pilot study of the implementation of a social engagement intervention for children with autism in schools

Social impairment represents one of the most challenging core deficits of autism spectrum disorder (ASD) and greatly affects childrens school experiences; however, few evidence-based social engagement programs have been implemented and sustained in schools. This pilot study examined the implementation and sustainment of a social engagement intervention, Remaking Recess, for four elementary-aged children with ASD and four school personnel in two urban public schools. The improved peer engagement and social network inclusion outcomes suggest that Remaking Recess can be feasibly implemented in under resourced public schools with fidelity and has the potential to improve child outcomes for children with ASD.

Transforming mental health delivery through behavioral economics and implementation science: A project protocol (Preprint)

Background Efficacious psychiatric treatments are not consistently deployed in community practice, and clinical outcomes are attenuated compared with those achieved in clinical trials. A major focus for mental health services research is to develop effective and cost-effective strategies that increase the use of evidence-based assessment, prevention, and treatment approaches in community settings. Objective The goal of this program of research is to apply insights from behavioral economics and participatory design to advance the science and practice of implementing evidence-based practice (EBP) for individuals with psychiatric disorders across the life span. Methods Project 1 (Assisting Depressed Adults in Primary care Treatment [ADAPT]) is patient-focused and leverages decision-making heuristics to compare ways to incentivize adherence to antidepressant medications in the first 6 weeks of treatment among adults newly diagnosed with depression. Project 2 (App for Strengthening Services In Specialized Therapeutic Support [ASSISTS]) is provider-focused and utilizes normative pressure and social status to increase data collection among community mental health workers treating children with autism. Project 3 (Motivating Outpatient Therapists to Implement: Valuing a Team Effort [MOTIVATE]) explores how participatory design can be used to design organizational-level implementation strategies to increase clinician use of EBPs. The projects are supported by a Methods Core that provides expertise in implementation science, behavioral economics, participatory design, measurement, and associated statistical approaches. Results Enrollment for project ADAPT started in 2018; results are expected in 2020. Enrollment for project ASSISTS will begin in 2019; results are expected in 2021. Enrollment for project MOTIVATE started in 2018; results are expected in 2019. Data collection had begun for ADAPT and MOTIVATE when this protocol was submitted. Conclusions This research will advance the science of implementation through efforts to improve implementation strategy design, measurement, and statistical methods. First, we will test and refine approaches to collaboratively design implementation strategies with stakeholders (eg, discrete choice experiments and innovation tournaments). Second, we will refine the measurement of mechanisms related to heuristics used in decision making. Third, we will develop new ways to test mechanisms in multilevel implementation trials. This trifecta, coupled with findings from our 3 exploratory projects, will lead to improvements in our knowledge of what causes successful implementation, what variables moderate and mediate the effects of those causal factors, and how best to leverage this knowledge to increase the quality of care for people with psychiatric disorders. Trial Registration ClinicalTrials.gov NCT03441399; https://www.clinicaltrials.gov/ct2/show/NCT03441399 (Archived by WebCite at http://www.webcitation.org/74dRbonBD) International Registered Report Identifier (IRRID) DERR1-10.2196/12121

Boon or Burden: The Effect of Implementing Evidence-Based Practices on Teachers’ Emotional Exhaustion

This study examined the association between (1) beginning-of-the-year emotional exhaustion and use of three evidence-based practices (EBP) for children with autism spectrum disorder; and (2) use of these EBP and end-of-year emotional exhaustion among 46 kindergarden to 2nd grade autism support teachers participating in a randomized trial. Emotional exhaustion was measured at the end and beginning of the school year using a subscale of the Maslach Burnout Inventory. Fidelity was measured using monthly observations, coded by research assistants trained to reliability. Correlations were used to examine unadjusted associations and ordinary least squares regression was used to examine associations adjusted for beginning-of-year burnout, years teaching, and average change in student cognitive functioning. Emotional exhaustion at the beginning of the year was not associated with EBP use. Greater fidelity to each EBP was associated with lower end-of-year emotional exhaustion (coefficients ranging from − .34 to − 1.13, all p’s < .05). Results indicate that helping teachers implement EBP with greater fidelity may help reduce burnout, a substantial challenge in the field.

Study protocol: implementation of a computer-assisted intervention for autism in schools: a hybrid type II cluster randomized effectiveness-implementation trial

BackgroundThe number of children diagnosed with autism has rapidly outpaced the capacities of many public school systems to serve them, especially under-resourced, urban school districts. The intensive nature of evidence-based autism interventions, which rely heavily on one-to-one delivery, has caused schools to turn to computer-assisted interventions (CAI). There is little evidence regarding the feasibility, effectiveness, and implementation of CAI in public schools. While CAI has the potential to increase instructional time for students with autism, it may also result in unintended consequences such as reduction in the amount of interpersonal (as opposed to computerized) instruction students receive. The purpose of this study is to test the effectiveness of one such CAI—TeachTown—its implementation, and its effects on teachers’ use of other evidence-based practices.MethodsThis study protocol describes a type II hybrid cluster randomized effectiveness-implementation trial. We will train and coach 70 teachers in autism support classrooms in one large school district in the use of evidence-based practices for students with autism. Half of the teachers then will be randomly selected to receive training and access to TeachTown: Basics, a CAI for students with autism, for the students in their classrooms. The study examines: (1) the effectiveness of TeachTown for students with autism; (2) the extent to which teachers implement TeachTown the way it was designed (i.e., fidelity); and (3) whether its uptake increases or reduces the use of other evidence-based practices.DiscussionThis study will examine the implementation of new technology for children with ASD in public schools and will be the first to measure the effectiveness of CAI. As importantly, the study will investigate whether adding a new technology on top of existing practices increases or decreases their use. This study presents a unique method to studying both the implementation and exnovation of evidence-based practices for children with autism in school settings.Trial registrationNCT02695693. Retrospectively registered on July 8, 2016.