Introduction: The rising prevalence of autism spectrum disorder (ASD) among children poses significant challenges for healthcare services. Research has underscored the crucial role of children's involvement in their healthcare. However, due to the intricate nature of ASD, marked by communication and social interaction differences, healthcare providers face challenges in tailoring their services to accommodate these children. This project aims to explore the impact of two distinct needs assessment models on children's participation in the needs assessment process.
Methods And Analysis: We will conduct a prospective observational study comparing responses from children subjected to two different needs assessment procedures: survey-based and meeting-based. Supplementary data will be collected from the children's parents/guardians and healthcare professionals. Data collection methods will include questionnaires, interviews and document analysis of individual habilitation plans. We aim to recruit 120 children aged 7-17 diagnosed with ASD but without intellectual disability, with 60 undergoing the survey-based needs assessment and 60 undergoing the meeting-based assessment. The primary outcome measure will be the perception of participation in the needs assessment procedure. Secondary outcomes will include the children's quality of life and mental health; the parents' knowledge of their child's strengths, abilities and special needs; and the parents' perception of the quality of collaboration with the healthcare team.
Ethics And Dissemination: The study received ethics approval from the Swedish Ethical Review Authority on 4 March 2024 (reference number 2024-00227-01). All children and their caregivers will receive both verbal and written information about the study before being asked to provide written informed consent to participate. The findings will be disseminated through publication in peer-reviewed journals and presentation at conferences. Additionally, a popular science report summarising the data and its interpretation will be published.
Trial Registration Number: NCT06381856.
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http://dx.doi.org/10.1136/bmjopen-2024-089135 | DOI Listing |
J Med Internet Res
January 2025
Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
Objective: This study used machine learning (ML) algorithms with an aim to extract critical predictors and develop an ML model to predict PND among LT recipients.
Methods: In this retrospective study, data from 958 patients who underwent LT between January 2015 and January 2020 were extracted from the Third Affiliated Hospital of Sun Yat-sen University.
Oper Neurosurg (Hagerstown)
July 2024
Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal , Quebec , Canada.
Background And Objectives: Subpial corticectomy involving complete lesion resection while preserving pial membranes and avoiding injury to adjacent normal tissues is an essential bimanual task necessary for neurosurgical trainees to master. We sought to develop an ex vivo calf brain corticectomy simulation model with continuous assessment of surgical instrument movement during the simulation. A case series study of skilled participants was performed to assess face and content validity to gain insights into the utility of this training platform, along with determining if skilled and less skilled participants had statistical differences in validity assessment.
View Article and Find Full Text PDFACS Biomater Sci Eng
January 2025
Mechanical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
Mechanical properties of engineered connective tissues are critical for their success, yet modern sensors that measure physical qualities of tissues for quality control are invasive and destructive. The goal of this work was to develop a noncontact, nondestructive method to measure mechanical attributes of engineered skin substitutes during production without disturbing the sterile culture packaging. We optimized a digital holographic vibrometry (DHV) system to measure the mechanical behavior of Apligraf living cellular skin substitute through the clear packaging in multiple conditions: resting on solid agar as when the tissue is shipped, on liquid media in which it is grown, and freely suspended in air as occurs when the media is removed for feeding.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
State Key Laboratory of Ophthalmology, Optometry, and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Purpose: Changes associated with Alzheimer's disease (AD) may have measurable effects on the retina, which may facilitate early detection due to the eye's accessibility. Retinal pathology and the regulation of serine racemase (SR) were investigated in the retinas of APP(SW)/PS1(∆E9) mice.
Methods: SR in the retinas and the content of D-serine in the aqueous humor were analyzed.
Health Secur
January 2025
Ricardo Rohweder, MSc, is a PhD Student, Programa de Pós-Graduação em Genética e Biologia Molecular; Lavinia Schuler-Faccini, PhD, is a Professor, Department of Genética and Programa de Pós-Graduação em Genética e Biologia Molecular; and Gonçalo Ferraz, PhD, is a Professor, Programa de Pós-Graduação em Ecologia and Programa de Pós-Graduação em Genética e Biologia Molecular; all at the Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. Lavinia Schuler-Faccini is also a Professor, Medical Genetics Service of Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
In early 2020, to halt the spread of SARS-CoV-2, the state government of Rio Grande do Sul in Brazil established a public health assessment and response framework known as a "controlled distancing model." Using this framework, the government divided the state into 21 regions and evaluated them against a composite index of disease transmission and health service capacity. Regions were assessed using a color-coded scale of flags that was updated on a weekly basis and used to guide the adoption of nonpharmaceutical interventions.
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