Use of telemediated caregiver coaching to increase access to naturalistic developmental behavioral interventions within a statewide early intervention system.

LAY ABSTRACT: Many families seek access to evidence-based therapy to support their child's learning. Naturalistic developmental behavioral intervention is a set of practices that use a child's natural motivation and interest to teach skills in everyday routines. Many families find naturalistic developmental behavioral interventions appealing and they have been proven to be effective. However, families may not be able to enroll in naturalistic developmental behavioral intervention-based programs due to the limited availability of trained service providers. Telehealth is the use of technology to engage with care providers, including doctors and therapists. Telehealth is an effective tool for improving access to services, especially for people in rural and underserved communities. Telehealth offers a way for providers to connect with families but it does not address the low numbers of trained providers. In this article, we share a statewide model developed to increase access to naturalistic developmental behavioral interventions for families while increasing training opportunities for early intervention providers. Through this model, expert consultants worked with caregivers and providers via telehealth for a brief series of visits. During these visits, consultants taught caregivers and providers strategies based in naturalistic developmental behavioral interventions. Feedback from caregivers and providers, along with improvement in child skills, show that this model was effective and acceptable.

Screening Options in Autism Telediagnosis: Examination of TAP, M-CHAT-R, and DCI Concordance and Predictive Value in a Telediagnostic Model.

Tele-assessment of autism in early childhood has increased. However, it is unclear how autism screening tools (M-CHAT-R, DCI) function as part of tele-assessment and relate to a commonly used tele-assessment instrument, the TAP. 361 families from a clinically referred sample of children (mean age: 27.63 months, sd = 4.86 months) completed the M-CHAT-R and DCI prior to a tele-assessment visit utilizing the TAP. Data was collected on demographic background, measure scores, and diagnostic outcome. No significant differences in measure scores or diagnostic findings emerged in age at referral, age group, age at diagnosis, or child sex, ethnicity, or racial background. The M-CHAT-R and DCI correlated strongly and positively. Older age was associated with lower risk scores on screening instruments. Children with autism had significantly higher scores on all screener and subdomain scores, with the exception of DCI Behavior. Subdomains of the DCI emerged as the strongest predictor of diagnostic outcome. Both the DCI total score and the M-CHAT-R significantly related to diagnostic outcome and TAP score in this tele-assessment model, regardless of child age or sex. Findings also support use of the DCI for children under 24 months of age.

Minimizing Escalation by Treating Dangerous Problem Behavior Within an Enhanced Choice Model.

To address dangerous problem behavior exhibited by children while explicitly avoiding physical management procedures, we systematically replicated and extended the skill-based treatment procedures described by Hanley, Jin, Vanselow, and Hanratty (2014) by incorporating an enhanced choice model with three children in an outpatient clinic and two in a specialized public school. In this model, several tactics were simultaneously added to the skill-based treatment package to minimize escalation to dangerous behavior, the most notable of which involved offering children multiple choice-making opportunities, including the ongoing options to (a) participate in treatment involving differential reinforcement, (b) "hang out" with noncontingent access to putative reinforcers, or (c) leave the therapeutic space altogether. Children overwhelmingly chose to participate in treatment, which resulted in the elimination of problem behavior and the acquisition and maintenance of adaptive skills during lengthy, challenging periods of nonreinforcement. Implications for the safe implementation of socially valid treatments for problem behavior are discussed.

Utilization of telemedicine to support caregivers of young children with ASD and their Part C service providers: a comparison of intervention outcomes across three models of service delivery.

BACKGROUND: Families of young children with autism spectrum disorder (ASD) frequently experience barriers to accessing evidence-based early intervention services. Telemedicine presents an opportunity to increase access to these services, particularly for families in rural and under-resourced areas. The present article describes a brief behavioral intervention and support model for families of young children with concerns for ASD. In the context of the COVID-19 pandemic, this service model shifted to telemedicine-only service delivery, resulting in an opportunity to analyze intervention outcomes from services delivered either via traditional in-person visits, telemedicine-only sessions, or a hybrid model including both in-person and telemedicine sessions. METHODS: Data are presented for 115 families with toddlers 16-33 months of age who participated in a six-session behavioral intervention and support service model either in-person, through telemedicine, or through a hybrid service model. This intervention was available for families referred for ASD evaluation through the state Part C early intervention program. Intervention feasibility, fidelity of implementation, child outcomes, and stakeholder satisfaction are compared across service delivery models. RESULTS: Caregivers, behavioral consultants, and Part C early intervention providers reported satisfaction with services, regardless of service delivery model. Caregivers and consultants also reported positive child outcomes. Statistically significant differences emerged for caregiver- and consultant-reported child outcomes in some domains, with stakeholders in the telemedicine-only group reporting slightly less improvement, compared to stakeholders in the in-person-only group. Caregivers and consultants in the telemedicine-only group also provided qualitative feedback on benefits and challenges related to telemedicine services. CONCLUSIONS: Both caregivers and behavioral consultants reported positive outcomes following a brief behavioral intervention and support model targeted at families of young children with concern for ASD. Stakeholders reported improvement in child behavior and satisfaction with services across in-person, telemedicine-only, and hybrid models of service delivery. These results suggest that telemedicine presents a promising opportunity for increasing service access. Additional research is needed to continue optimizing the experience of telemedicine-based service delivery for both families and intervention providers.