Prevalence, incidence, and characteristics of autism spectrum disorder among children in Beijing, China
It is the first study to explore the prevalence, incidence, and co-occurring conditions of autism spectrum disorder for the preschoolers in China. The prevalence and incidence of autism spectrum disorder has increased in recent decades. Autism spectrum disorder has become an important public concern worldwide. In this study, all hospital confirmed cases had an associated diagnosis (International Classification of Diseases, 10th revision (ICD-10) codes: F84.0, 84.5, F84.9). In total, 4457 children aged 4-6 years were identified as having autism spectrum disorder. In 2021, 1 in 95 children aged 6 years, 1 in 115 children aged 5 years, and 1 in 130 children aged 4 years were estimated to have autism spectrum disorder in Beijing. The incidence was 0.11% in 2019 and increased to 0.18% in 2021. There has been a great emphasis on the importance of early autism spectrum disorder diagnosis in large cities in China.
Direct and indirect costs for families of children with autism spectrum disorder in China
This is the first comprehensive national study to explore the direct and indirect costs for families of children with autism spectrum disorder in China. The increasing prevalence of autism spectrum disorder highlights a growing need for resources to provide care for families of children with autism spectrum disorder. The medical and nonmedical costs and parents' productivity loss have caused a serious burden on their families. Our objective is to estimate the direct and indirect costs for the families of children with autism spectrum disorder in China. The target population was parents of children with autism spectrum disorder. We analyzed the costs using cross-sectional data from a Chinese national family survey with children aged 2-6 years ( = 3236) who were clinically diagnosed with autism spectrum disorder. Family data from 30 provinces in China were obtained. Cost items included direct medical costs, direct nonmedical costs, and indirect costs. In this study, we found that the largest part of family costs for autism spectrum disorder are nonmedical costs and productivity loss. Autism spectrum disorder has imposed a huge economic burden on parents having children with autism spectrum disorder in China, who need more support than the current health care system provides.
Medical service utilization and costs of autism spectrum disorder: Evidence from hospital records in Beijing, China
As more and more people are diagnosed with autism spectrum disorder (ASD), it is necessary to better understand their costs. Detailed information on medical service utilization and costs could aid in designing equitable, effective policies to support individuals with ASD and their families. In this retrospective analysis, individuals with a hospital encounter (outpatient visit or inpatient admission) were collected from Beijing Municipal Health Big Data and Policy Research Center (BMHBD), from January 1, 2017 to December 31, 2021. We analyzed the costs, hospital visits/admissions and their changing trends over 5 years. Poisson regression and logit regression were conducted to analyze the influencing factors of visits, admissions and costs. The study population consisted of 26,826 users of medical services (26,583 outpatients and 243 inpatients; mean age: 4.82 ± 3.47 years for outpatients; 11.62 ± 6.74 years for inpatients). 99.1% were outpatients (mean ± standard deviation (SD) costs per year: $422.06 ± $11.89), while 0.9% were inpatients (mean ± SD costs per year: $4411.71 ± $925.81). More than 50% of outpatients received medication and diagnostic testing services. Among those with an inpatient admission, 91% received treatment services. Medication costs were the major contributor to medical costs for adults. Diagnostic test and treatment costs were the major contributors for children and adolescents. The findings demonstrated a significant economic burden for those diagnosed with ASD and highlighted opportunities for improving the care of this vulnerable group. This study adds to the literature by focusing on age differences among health-care utilization in individuals with ASD.