Affiliation:
1. School of Public Health Peking University Beijing China
2. China Center for Health Development Studies Peking University Beijing China
3. School of Population Medicine and Public Health Chinese Academy of Medical Sciences/Peking Union Medical College Beijing China
4. Beijing Municipal Health Big Data and Policy Research Center Beijing China
Abstract
AbstractAs 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.
Subject
Genetics (clinical),Neurology (clinical),General Neuroscience
Cited by
1 articles.
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