The Use of Technology and Telehealth to Improve Behavioral Sleep Assessment and Intervention

Abstract

Children diagnosed with autism spectrum disorder (ASD) are likely to experience sleep disturbance. Evidence supports the effectiveness of functional analysis and behavioral sleep interventions to address sleep problems. However, these approaches are resource intensive in terms of assessment and measurement of target sleep behaviors, intervention implementation, and progress monitoring. Recent advances in the use of technology and telehealth in behavioral services may improve the efficiency and effectiveness of behavioral intervention. We evaluated the effectiveness of a hybrid (face-to-face and telehealth) model of behavioral sleep assessment and intervention as implemented by community-based behavior analysts. We used motion/sound detection cameras and various “apps,” for remote viewing, caregiver coaching, data collection, and treatment decision making. We explored the agreement between various data sources. Three autistic children, who engaged in caregiver reported unwanted co-sleeping or behavioral sleep challenges, participated in the study along with their caregivers. A nonconcurrent multiple baseline design across participants was used to evaluate the effects of the intervention on sleep onset delay, sleep interfering behavior, and total sleep duration. For two participants, caregiver co-sleeping was eliminated, target bedtimes were achieved, and child participants regularly achieved an age-appropriate amount of sleep. Caregivers rated the intervention and child outcomes positively. The results provide preliminary evidence for the use of telehealth technology to provide caregiver coaching, monitor child progress, and make timely data-based treatment decisions. Results of this study may be used to increase the efficiency of––and access to––behavioral sleep assessment and intervention.