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Objective: To evaluate the feasibility of implementing a culturally adapted multimedia intervention in the waiting room of a public hospital physiotherapy outpatient service to guide the implementation of a large multicentre trial investigating the effects of a multimedia intervention to promote physical activity and reduce paracetamol use in people reporting low back pain (LBP).
Methods: A six-month (March to September 2024) hybrid type III feasibility study was conducted in an outpatient physiotherapy department of a public hospital in Sydney, Australia. The intervention included a brief video and booklet designed to engage patients and encourage informed management of LBP. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework guided the evaluation. The educational materials were available in English, Arabic and Mandarin.
Results: The study revealed limited engagement, with only 11% of 688 potential people exposed to the intervention interacting with it. A total of 66 people completed the surveys (mostly English speakers), and six accepted to participate in a follow-up survey. Despite this low engagement, feedback from those who participated was positive. Satisfaction and usefulness ratings were high, with scores of 7.7-7.9 out of 10 for both video and booklet. Helpfulness was also rated positively, particularly for the video (8.6/10). Barriers to engagement included unfamiliarity with digital formats, video length, and the need for staff assistance in accessing the materials.
Conclusion: The findings suggest that the intervention, as currently designed, is not feasible for effective implementation in its present form. While engagement with the multimedia intervention was limited, findings allowed for a comprehensive understanding of the barriers and contextual factors impacting patient interaction. Notably, the majority of feedback was positive, with high satisfaction and usefulness ratings. The results underscore the need for alternative implementation strategies and further refinement of the approach to improve engagement with culturally diverse populations experiencing LBP and optimise outcomes in future implementations.
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http://dx.doi.org/10.1016/j.msksp.2025.103313 | DOI Listing |
PLoS One
September 2025
Department of Political Science, Syracuse University, New York, United States of America.
Background: The rapid global spread of the COVID-19 pandemic affected different regions, communities, and individuals in vastly different ways that interdisciplinary social scientists are well-positioned to document and investigate. This paper describes an innovative mixed-methods dataset generated by a research study that was designed to chronicle and preserve evidence of the pandemic's divergent effects: the Pandemic Journaling Project (PJP). The dataset was generated by leveraging digital technology to invite ordinary people around the world to document the impact of the COVID-19 pandemic on their everyday lives over a two-year period (May 2020-May 2022) using text, images, and audio.
View Article and Find Full Text PDFMed Phys
September 2025
School of Computer, Electronics and Information, Guangxi University, Nanning, China.
Background: Deformable medical image registration is a critical task in medical imaging-assisted diagnosis and treatment. In recent years, medical image registration methods based on deep learning have made significant success by leveraging prior knowledge, and the registration accuracy and computational efficiency have been greatly improved. Models based on Transformers have achieved better performance than convolutional neural network methods (ConvNet) in image registration.
View Article and Find Full Text PDFAdv Pharm Bull
July 2025
Department of Telecommunications & Systems Engineering, Universitat Autònoma de Barcelona, Sabadell, 08202, Spain.
Purpose: This study explores the potential of generative AI models to aid experts in developing scripts for pharmacokinetic (PK) models, with a focus on constructing a two-compartment population PK model using data from Hosseini et al.
Methods: Generative AI tools ChatGPT v3.5, Gemini v2.
Neurology
October 2025
Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic de Barcelona, Fundació Recerca Clínic Barcelona-IDIBAPS, Spain.
Background And Objectives: α-Synuclein seed amplification assays (αSAAs) can improve the diagnosis of synucleinopathies and detect α-synuclein (αSyn) copathology in vivo in clinical practice. We aimed to evaluate the diagnostic performance of αSAA for detecting αSyn in CSF for diagnosing dementia with Lewy bodies (DLB) in a clinical cohort of cognitively impaired individuals. We explored how the coexistence of Alzheimer disease (AD) and αSyn pathology influences biomarker levels and clinical profiles.
View Article and Find Full Text PDFFront Psychol
August 2025
Nakamura Laboratory, School of Interdisciplinary Mathematical Sciences, Meiji University, Nakano, Tokyo, Japan.
Introduction: Conducting research online has become common in human participant research and notably in the field of human-computer interaction (HCI). Many researchers have used English-language and Western participant pool and recruitment platforms like Amazon Mechanical Turk and Prolific, with panel quality and representativeness known to vary greatly. Less is known about non-English, non-Western options.
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