Background: Current autism assessment procedures are costly and resource-intensive. The COVID-19 pandemic accelerated the adoption of telemedicine, highlighting the benefits of innovative diagnostic tools. Telemedicine-based pathways could enhance accessibility and equity in autism diagnostics.
Objective: The Children with Autism Technology Enabled Assessment (CHATA) project aims to develop and pilot an open-source autism diagnostic pathway for children up to 5 years old, delivered through telemedicine. The pathway is designed to be culturally and linguistically adaptable, increasing its applicability to diverse populations and integrating with existing National Health Service digital systems.
Methods: Initial pathway development was informed by systematic evidence reviews, coproduction, and mixed methods usability. CHATA comprises 2 key elements: online self-completed standardized autism questionnaires and a structured online interview and observation by a trained clinician. Out of 60 families near the top of the local waiting list will be invited to participate in the pilot evaluation, assessed using both the CHATA and usual assessment pathways. Sensitivity and specificity will be calculated by comparing the diagnosis of autism through CHATA with usual care. Quantitative usability assessment will be gathered from all families using the System Usability Scale (where a mean above 68 indicates above-average usability). A subset of CHATA assessments will be reviewed for interrater reliability (measured by the Cohen κ for categorical data [diagnosis present or absent], with values indicating the level of agreement; eg, <0 indicating no agreement, 0.61-0.80 indicating substantial agreement). Qualitative data on acceptability, feasibility, and usability will be gathered from semistructured interviews with a subset of families and health care providers. We will recruit 60 families for the main pilot study (including the usability testing) and 10-15 participants for the qualitative substudy. Data will estimate CHATA's diagnostic accuracy, validity, reliability, usability, and acceptability. Patient and public involvement will be integral throughout. The study will take place in a socio-economically deprived, ethnically diverse inner-London Borough within a community-based child health National health service responsible for the Autism assessment of children and young people up to the age of 13 years.
Results: Ethics approval was received in June 2023 (Research Ethics Committee reference 22/LO/0751; IRAS project ID 320499). Data collection commenced in April 2023 and completed in October 2024. Project end date is March 2025. As of November 2024, we had enrolled 57 participants to the pilot study and 12 to the qualitative substudy.
Conclusions: The CHATA project aims to establish a novel, culturally sensitive, equitable, and accurate online autism assessment pathway. By addressing geographical and linguistic barriers, this pathway seeks to reduce service costs, shorten waiting times, and promote equity in autism diagnosis. The procedures developed are expected to be generalized to other populations nationwide.
International Registered Report Identifier (irrid): DERR1-10.2196/55741.
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http://dx.doi.org/10.2196/55741 | DOI Listing |
Background: There has been a large number of immigration to Turkey after 2011, and in the past 13 years, a mixed population has been formed with both the transition to Turkish citizenship and high fertility rates. Along with numerous human migrations, gene trait transfer also occurs. This study aimed to investigate the effects of migration on blood group changes in Turkey by determining the blood group distribution of Turkish citizens living in Turkey, the blood group distribution of foreign nationals coming to Turkey, and the blood group distribution of 0-year-old babies born in the last four years.
View Article and Find Full Text PDFAm J Community Psychol
March 2025
Department of Clinical Psychology, Palo Alto University, Palo Alto, California, USA.
Drawing from a liberation psychology framework, this paper describes a community soccer program designed to address inequalities in education, health, and social inclusion among newcomer immigrant girls. The mixed-methods study drew upon youth voices to explore how the program fostered resilience, effective coping, and academic achievement. The study included a quantitative sample (n = 20) and a qualitative sub-sample (n = 13), as well as school-wide comparison data (n = 431).
View Article and Find Full Text PDFSmall Methods
March 2025
School of Pharmacy, Fudan University, Key Laboratory of Smart Drug Delivery, Ministry of Education, Shanghai, 201203, P. R. China.
Elucidating in vivo lipolysis is crucial for clarifying the underlying mechanisms and in vivo fates of lipid-based nanocarriers, which are essential oral drug delivery carriers. Current mainstream methodologies use various in vitro digestion models to predict the in vivo performance of lipid formulations; however, their accuracy is often impeded by the complicated environment of the gastrointestinal tract. Although fluorescence labeling with conventional probes partly reveals the in vivo translocation of lipid nanocarriers, it fails to elucidate the lipolysis process because of poor signal discrimination among nanocarriers, free probes, and mixed micelles (lipolysis end-products).
View Article and Find Full Text PDFFront Pediatr
February 2025
Department of Primary Care, Ohio University Heritage College of Osteopathic Medicine, Athens, OH, United States.
Children with neurodevelopmental disabilities living in rural and low-resourced regions within the United States, such as Appalachia, face gaps and barriers to accessing healthcare services due to a shortage of providers, specialists, hospitals, and clinics. Without access to specialized medical and rehabilitation services, their performance across developmental domains and participation within their communities is likely suboptimal. The purpose of this study was to identify both intrinsic and extrinsic factors using a mixed-methods approach to better understand factors that may impact performance across developmental domains and participation for children with disabilities living in Appalachia.
View Article and Find Full Text PDFFront Pediatr
February 2025
Department of Pediatric, Pediatric Critical Care Unit, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Artificial Intelligence (AI) has the potential to revolutionize Pediatric Intensive Care Units (PICUs) by enhancing diagnostic accuracy, improving patient outcomes, and streamlining routine tasks. However, integrating AI into PICU environments poses significant ethical and data privacy challenges, necessitating effective governance and robust regulatory frameworks to ensure safe and ethical implementation. This study aimed to explore valuable insights into healthcare professionals' current perceptions and readiness to adopt AI in pediatric critical care, highlighting the opportunities and challenges ahead.
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