Association for Behavior Analysis International

The Association for Behavior Analysis InternationalĀ® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.

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49th Annual Convention; Denver, CO; 2023

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Symposium #199
CE Offered: BACB
Updates on Early Intensive Behavioral Intervention in the Pandemic Era: Analyzing Group and Individual Outcomes
Sunday, May 28, 2023
12:00 PM–12:50 PM
Convention Center Mile High Ballroom 4A/B
Area: AUT/CSS; Domain: Service Delivery
Chair: Eric V. Larsson (Lovaas Institute Midwest; University of Minnesota)
Discussant: Ivy M Chong (Little Leaves Behavioral Services)
CE Instructor: Ivy M Chong, Ph.D.
Abstract:

The impact of the increasing prevalence of Autism Spectrum Disorder is an increasing need for effective interventions with robust outcomes. At the same time recent social media contains an escalating amount of content that questions the validity of ABA interventions. Independent community-based replications of the Lovaas model of Early Intensive Behavioral Intervention (EIBI) continue to result in significant outcomes for many children in comparison to children receiving other community-based special education services. Finally, the COVID-19 pandemic severely disrupted access to services for a period of years. This symposium will include multiple measures of recent outcome data collected prior to the pandemic, as well as data that reflects the impact of the pandemic. The replications of EIBI programs include a sufficiently technological description of the interventions to analyze the essential treatment integrity variables that lead to maximal outcomes. In these large-scale implementations of EIBI for ASD, the relationship between treatment integrity variables and multiple measures of response to treatment is analyzed. The effects of the variables are analyzed by both group average measures and individual variability measures.

Instruction Level: Intermediate
Keyword(s): EIBI, Individual Analysis, Outcomes
Target Audience:

Audience members should have competence in basic implementation of ABA technology with persons with autism and their family members and teachers.

Learning Objectives: At the conclusion of the presentation, the participant will be able to describe: 1. components of a system for evaluating response to treatment. 2. environmental variables of the pandemic that influence current outcomes. 3. overall outcome measures for evaluating EIBI.
 
Pandemic Updates in Outcomes Found in a Multi-Modal Evaluation of Early Intensive Behavioral Intervention
ERIC V. LARSSON (Lovaas Institute Midwest; University of Minnesota), Angela Brown (Lovaas Institute Midwest), Kara L. Riedesel (Lovaas Institute Midwest), Laura Jean Bernard Moon (The Lovaas Institute Midwest)
Abstract: In the present study, a multi-modal evaluation of EIBI included a range of measures for 248 children, who received an average of 35 months of EIBI, divided into 4 groups of intervention (early intensive behavioral intervention; early intensive family consultation; school-age behavioral intervention; and non-intensive behavioral participation). The multi-modal evaluation system used criterion-referenced assessments, weekly measures of treatment implementation, service engagement assessments, norm-referenced assessments, treatment compliance measures, and social validity measures. The results include a research form of the Learning Accomplishment Profile (LAP) in which 564 developmental milestones are arrayed across areas of functioning. A rate of progress measure and a standardized developmental index was gleaned from this assessment. Standardized assessments (i.e., Clinical Evaluation of Language Fundamentals (CELF) , Woodcock-Johnson achievement test, etc.) were collected for subsequent intervals of treatment. Further direct measures of treatment outcomes were also collected. An analysis of the effect of the four main variables will be reported by both group averages and individual variability. After 18 years of collection of this data, the onset of the COVID-19 pandemic seriously disrupted service delivery. The results of ongoing data collection are presented.
 

Initial Evaluation of Telehealth as a Clinically Beneficial Treatment Modality in Applied Behavior Analysis (ABA)-Based Autism Services

KRISTINE RODRIGUEZ (Autism Learning Partners)
Abstract:

This presentation will include initial data comparing clinical outcomes scores, as measured by composite score gains and losses on the Vineland-3 Adaptive Behavioral Scales, across a group of clients who received direct telehealth services (n=394) and telehealth supervision (n=200) during the 2020 pandemic. Additionally, matched data sets (n=29), indicating 2019 composite score gains with 2020 composite score gains, will offer an initial picture of client progress during receipt of telehealth services, compared to that same client’s progress with prior in-person services. Additionally, as part of a multi-provider collaboration, 266 families, receiving either telehealth only (n=93) or a combination of in-person and telehealth (n=173) were surveyed to assess social validity and quality of life. Results of the survey indicated that, overall, caregivers were satisfied with telehealth services and found them beneficial. Barriers related to reduced caregiver satisfaction were identified. Finally, survey results intended to assess the confidence and perceived competence of behavior analysts prior to and following training on program and supervision modifications for telehealth will be presented. Based on feedback from behavior analysts who participated in the shift to telehealth, the authors will share a proposed assessment tool which may be helpful in identifying clinical appropriateness for telehealth supervision.

 

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