Description, Implementation Integrity, and Social Validity of a Computer-Assisted Sleep Monitoring System among Residential Care Providers of Students with Autism Spectrum Disorder

Shlesinger, Andrew; Duhanyan, Kimberly; Bird, Frank L.; Harper, Jill; Luiselli, James K.

doi:10.1007/s10882-019-09698-w

Cited by 15 publications

(5 citation statements)

References 30 publications

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“…Hysteresis is optimized. When the detection of object status or parameter changes, the sensor technology can quickly grasp the state or parameter change information [ 8 ]. Sensor devices are mostly dependent on the wireless network arrangement, so it is not affected by the distribution of wired lines and has the advantage of flexible deployment and simple networking in the application [ 9 ].…”

Section: Related Workmentioning

confidence: 99%

The Application of a Computer Monitoring System Using IoT Technology

Zhu

2022

Computational Intelligence and Neuroscience

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Through the information exchange of the Internet of Things, resources in multiple fields can be integrated to provide users with more comprehensive, diverse, and high-quality services. The computer monitoring system can effectively improve the intelligence and networking of the office and is widely used in many industries. The application of Internet of Things technology can effectively improve the intelligence and networking of computer monitoring systems. The Internet of Things technology can realize the interaction between things and people, help the computer monitoring system to obtain the required information, and truly realize comprehensive monitoring. Based on this, this paper first introduces the basic technology of the Internet of Things technology and analyzes the main points of the computer monitoring technology based on the Internet of Things at this stage and then takes a computer monitoring system as the research object, and further analyzes the computer monitoring system based on the Internet of Things technology to help relevant personnel better apply IoT technology to computer monitoring systems.

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Section: Related Workmentioning

confidence: 99%

The Application of a Computer Monitoring System Using IoT Technology

Zhu

2022

Computational Intelligence and Neuroscience

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“…Supervisors and program administrators received next-day reports and visual sleep charts of every student in order to evaluate trends, isolate problems, and recommend interventions if needed. Shlesinger et al (2020) documented average implementation integrity of the system at 91% among care providers over a 4-year period.…”

Section: Measurementmentioning

confidence: 99%

“…Social validity is fundamental to applied behavior analysis (Wolf, 1978) and has been assessed in sleep research through parent and care provider questionnaires with questions related to the acceptance, satisfaction, and helpfulness of interventions (Jin et al, 2013), asking whether they would recommend procedures to other practitioners (Shlesinger et al, 2020), and having them complete rating instruments such as the Treatment Acceptability Rating Form-Revised (McLay et al, 2019;Reimers et al, 1992) and Intervention Rating Profile-15 (Martens et al, 1985). Behavioral sleep assessment and treatment was well received and positively rated in this research although in some cases, care providers "perceived the interventions to require a great deal of effort and time to implement" (McLay et al, 2019, p. 14).…”

Section: Summary and Research-to-practice Implicationsmentioning

confidence: 99%

Applied behavior analysis measurement, assessment, and treatment of sleep and sleep‐related problems

Luiselli¹

2020

J of App Behav Analysis

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This discussion article considers applied behavior analysis measurement, assessment, and treatment of sleep and sleep-related problems among infants, children, and youth who are typically developing and have neurodevelopmental disabilities. Measurement has concentrated on designing practitioner-implemented methods and improving fidelity of data recording through sleep-monitoring instrumentation. The emphasis of assessment is identifying antecedent and consequence variables that promote sleep and evoke and maintain sleep-related problems. Treatment research has evaluated several effective interventions for problems such as delayed sleeponset, night and early morning waking, bedtime resistance, and unwanted co-sleeping. Early and contemporary applied behavior analysis research is reviewed relative to function-based treatment formulation, intervention integrity, social validity, and research-to-practice translation.

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“…After being put to bed, an assigned care provider observed Donna in her bedroom for approximately 10 to 15 s every 30 min until a 7:00 a.m. wake-up time the next day. Using a computer-assisted sleep monitoring system developed at the residential school (Shlesinger et al, 2019), the care provider recorded whether Donna was sleeping or awake per 30-min observation by recording a respective sleep code via a password-protected application that was accessed on a desktop computer. The sleep monitoring system documented and stored the care provider recordings for all of the 30-min sleep observations scored during the night (bedtime through wake-up).…”

Section: Assessmentmentioning

confidence: 99%

Faded Bedtime Intervention for Delayed Sleep Onset in an Adolescent With Autism Spectrum Disorder

Luiselli

Harper

Shlesinger

et al. 2020

Clinical Case Studies

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We report the case of an 18-year-old girl who had autism spectrum disorder (ASD) and demonstrated persistent delayed sleep onset after going to bed in her group home at a residential school. Intervention consisted of a faded bedtime in which her customary time to bed was extended later into the night, then gradually made earlier as she started falling asleep more rapidly over the course of many weeks. By conclusion of the study and at a 1-month follow-up, the girl was falling asleep in less than 30 min after going to bed and sleeping an average of 8.4 hr each night. Compared with previous research with children in inpatient and home environments, the study found positive effects from a faded bedtime intervention without additional procedures, targeted an adolescent with ASD, and was conducted by care providers in a novel residence setting.

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Description, Implementation Integrity, and Social Validity of a Computer-Assisted Sleep Monitoring System among Residential Care Providers of Students with Autism Spectrum Disorder

Cited by 15 publications

References 30 publications

The Application of a Computer Monitoring System Using IoT Technology

The Application of a Computer Monitoring System Using IoT Technology

Applied behavior analysis measurement, assessment, and treatment of sleep and sleep‐related problems

Faded Bedtime Intervention for Delayed Sleep Onset in an Adolescent With Autism Spectrum Disorder

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