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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.
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http://dx.doi.org/10.1002/aur.2970 | DOI Listing |
J Org Chem
September 2025
State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin 124221, P. R. China.
The Buchwald-Hartwig (B-H) reaction graph, a novel graph for deep learning models, is designed to simulate the interactions among multiple chemical components in the B-H reaction by representing each reactant as an individual node within a custom-designed reaction graph, thereby capturing both single-molecule and intermolecular relationship features. Trained on a high-throughput B-H reaction data set, B-H Reaction Graph Neural Network (BH-RGNN) achieves near-state-of-the-art performance with an score of 0.971 while maintaining low computational costs.
View Article and Find Full Text PDFJMIR Ment Health
September 2025
National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.
Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.
JMIR Res Protoc
September 2025
National Institute of Public Health, University of Southern Denmark, Copenhagen K, Denmark.
Background: The high and increasing rate of poor mental health among young people is a matter of global concern. Experiencing poor mental health during this formative stage of life can adversely impact interpersonal relationships, academic and professional performance, and future health and well-being if not addressed early. However, only a few of those in need seek help.
View Article and Find Full Text PDFJ Bras Pneumol
September 2025
. Santa Casa de Misericórdia de Mogi Mirim, Mogi Mirim (SP) Brasil.
Objective: Respiratory syncytial virus (RSV) is a major cause of severe respiratory infections in older adults, particularly those with comorbidities. Despite its clinical impact, RSV remains underdiagnosed and underreported. We sought to assess the burden of RSV in older adults (≥ 60 years of age) in Brazil using national surveillance data for the 2022-2023 period.
View Article and Find Full Text PDFPLOS Glob Public Health
September 2025
TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Population-wide screening may accelerate the decline of tuberculosis (TB) incidence, but the optimal screening algorithm and duration must weigh resource considerations. We calibrated a deterministic transmission model to TB epidemiology in Viet Nam. We simulated three population-wide screening algorithms from 2025: sputum nucleic acid amplification tests (NAAT, Xpert MTB/RIF Ultra) only; chest radiography (CXR) followed by NAAT; and CXR-only without microbiological confirmation.
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