Hospitalizations of Children with Autism Increased from 1999 to 2009

Nayfack, Aaron M.; Huffman, Lynne C.; Feldman, Heidi M.; Chan, Jia; Saynina, Olga; Wise, Paul H.

doi:10.1007/s10803-013-1965-x

Cited by 36 publications

(25 citation statements)

References 15 publications

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“…Using a population-based register of children up to 18 years of age, including those with intellectual disability (ID), those with ASD (with and without ID), and those with neither condition in Western Australia, Bebbington et al ( 2013 ) found that while rates of hospitalization were higher in those with ASD than the general population, they were not higher than patients with ID only. In contrast, Nayfack et al ( 2013 ) compared rates of hospital discharge in children 1–18 years of age with ASD to rates in children with cerebral palsy, Down syndrome, and to the broader ID category, through a retrospective analysis of hospitalizations during a 10-year period (1999–2009) in California. While there were no changes in the annual rate of discharge for cerebral palsy, Down syndrome, or the general population, rates increased every year for children with ASD.…”

Section: Introductionmentioning

confidence: 99%

Health Concerns and Health Service Utilization in a Population Cohort of Young Adults with Autism Spectrum Disorder

Weiss

Isaacs

Diepstra

et al. 2017

J Autism Dev Disord

106

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Individuals with autism spectrum disorder (ASD) have many health needs that place demands on the health service sector. This study used administrative data to compare health profiles in young adults 18–24 years of age with ASD to peers with and without other developmental disability. Young adults with ASD were more likely to have almost all the examined clinical health issues and health service use indicators compared to peers without developmental disability. They were more likely to have at least one psychiatric diagnosis, and visit the family physician, pediatrician, psychiatrist, and emergency department for psychiatric reasons, compared to peers with other developmental disability. Planning for the mental health care of transition age adults with ASD is an important priority for health policy.

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Section: Introductionmentioning

confidence: 99%

Health Concerns and Health Service Utilization in a Population Cohort of Young Adults with Autism Spectrum Disorder

Weiss

Isaacs

Diepstra

et al. 2017

J Autism Dev Disord

106

View full text Add to dashboard Cite

show abstract

“…These expenditures are associated with a greater utilization of a variety of medical and psychiatric health services including both inpatient and outpatient care, compared to individuals without ASD (Croen et al 2006). Between 1999 and 2009 the rate of hospitalization increased significantly for children and adolescents with ASD (Nayfack et al 2014). With the exception of children less than 5 years of age, the leading cause of hospitalizations was psychiatric conditions.…”

Section: Introductionmentioning

confidence: 99%

Predictors of Inpatient Psychiatric Hospitalization for Children and Adolescents with Autism Spectrum Disorder

Righi

Benevides

Mazefsky

et al. 2017

J Autism Dev Disord

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Autism Spectrum Disorder (ASD) is associated with significant healthcare expenditures and a greater utilization of psychiatric health services. High utilization may not be evenly distributed across individuals with ASD. The objective of this study was to identify individual and family characteristics that increase the risk of psychiatric hospitalization. Naturalistic study of two age- and gender-matched ASD cohorts, inpatients enrolled in the Autism Inpatient Collection (AIC) and outpatients enrolled in the Rhode Island Consortium of Autism Research and Treatment (RI-CART), revealed a number of factors associated with hospitalization. Multiple logistic regression analyses revealed that adaptive functioning, ASD symptom severity, primary caregiver's marital status, the presence of mood disorders, and the presence of sleep problems independently increased the risk of psychiatric hospitalization.

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“…Furthermore, it is common for this subpopulation to require high levels of intensive intervention (e.g., specialized school placements, psychopharmacology, and in‐home behavioral therapies), which often exceed what providers in community settings can offer [Joshi et al, ; Siegel et al, ]. It can also land individuals with ASD in emergency rooms that are ill‐equipped to handle them [Hoffmann, Stack, Monuteaux, Levin, & Lee, ] and necessitate costly psychiatric hospital care [Croen, Najjar, Ray, Lotspeich, & Bernal, ; Nayfack et al, ; Siegel & Gabriels, ]. Our use of an inpatient psychiatric population not only allowed us to enroll youth functioning poorly across domains who are underrepresented in research, but also provided a unique opportunity to study naturally unfolding aggression in a safe environment.…”

Section: Discussionmentioning

confidence: 99%

Predicting aggression to others in youth with autism using a wearable biosensor

et al. 2019

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Unpredictable and potentially dangerous aggressive behavior by youth with Autism Spectrum Disorder (ASD) can isolate them from foundational educational, social, and familial activities, thereby markedly exacerbating morbidity and costs associated with ASD. This study investigates whether preceding physiological and motion data measured by a wrist-worn biosensor can predict aggression to others by youth with ASD. We recorded peripheral physiological (cardiovascular and electrodermal activity) and motion (accelerometry) signals from a biosensor worn by 20 youth with ASD (ages 6-17 years, 75% male, 85% minimally verbal) during 69 independent naturalistic observation sessions with concurrent behavioral coding in a specialized inpatient psychiatry unit. We developed prediction models based on ridge-regularized logistic regression. Our results suggest that aggression to others can be predicted 1 min before it occurs using 3 min of prior biosensor data with an average area under the curve of 0.71 for a global model and 0.84 for person-dependent models. The biosensor was well tolerated, we obtained useable data in all cases, and no users withdrew from the study. Relatively high predictive accuracy was achieved using antecedent physiological and motion data. Larger trials are needed to further establish an ideal ratio of measurement density to predictive accuracy and reliability. These findings lay the groundwork for the future development of precursor behavior analysis and just-in-time adaptive intervention systems to prevent or mitigate the emergence, occurrence, and impact of aggression in ASD.Lay Summary: Unpredictable aggression can create a barrier to accessing community, therapeutic, medical, and educational services. The present study evaluated whether data from a wearable biosensor can be used to predict aggression to others by youth with autism spectrum disorder (ASD). Results demonstrate that aggression to others can be predicted 1 min before it occurs with high accuracy, laying the groundwork for the future development of preemptive behavioral interventions and just-in-time adaptive intervention systems to prevent or mitigate the emergence, occurrence, and impact of aggression to others in ASD.

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Hospitalizations of Children with Autism Increased from 1999 to 2009

Cited by 36 publications

References 15 publications

Health Concerns and Health Service Utilization in a Population Cohort of Young Adults with Autism Spectrum Disorder

Health Concerns and Health Service Utilization in a Population Cohort of Young Adults with Autism Spectrum Disorder

Predictors of Inpatient Psychiatric Hospitalization for Children and Adolescents with Autism Spectrum Disorder

Predicting aggression to others in youth with autism using a wearable biosensor

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