Background: After having sustained a traumatic brain injury (TBI), individuals are at risk of functional impairments in information processing, abstract reasoning, executive functioning, attention, and memory. This affects different aspects of communicative functioning. Specific strategies can be adopted to improve the provision of health information to individuals with TBI, including the development of written materials and nonwritten media.
Objective: A user-centered design was adopted to codevelop four audiovisual presentations, a double-sided information sheet, and a checklist aimed at informing individuals about post-TBI sexuality. The last phase of the project was the assessment of the user experience of the information toolkit, based on the User Experience Honeycomb model.
Methods: Overall, two small group discussions and one individual semistructured interview were conducted with individuals with moderate to severe TBI.
Results: The participants mentioned that the toolkit was easily usable and would have fulfilled a need for information on post-TBI sexuality during or after rehabilitation. They mostly agreed that the minimalist visual content was well-organized, attractive, and relevant. The information was easily located, the tools were accessible in terms of reading and visibility, and the content was also considered credible.
Conclusions: Aspects such as usability, usefulness, desirability, accessibility, credibility, and findability of information were viewed positively by the participants. Further piloting of the toolkit is recommended to explore its effects on the awareness of the potential sexual repercussions of TBI in individuals and partners.
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http://dx.doi.org/10.2196/14874 | DOI Listing |
BMC Med Inform Decis Mak
January 2025
Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste.
Background: Effective diagnostic capacity is crucial for clinical decision-making, with up to 70% of decisions in high-resource settings based on laboratory test results. However, in low- and middle-income countries (LMIC) access to diagnostic services is often limited due to the absence of Laboratory Information Management Systems (LIMS). LIMS streamline laboratory operations by automating sample handling, analysis, and reporting, leading to improved quality and faster results.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
School of Medicine, University of Colorado, Aurora, CO, USA.
Background: In prehospital emergency care, providers face significant challenges in making informed decisions due to factors such as limited cognitive support, high-stress environments, and lack of experience with certain patient conditions. Effective Clinical Decision Support Systems (CDSS) have great potential to alleviate these challenges. However, such systems have not yet been widely adopted in real-world practice and have been found to cause workflow disruptions and usability issues.
View Article and Find Full Text PDFBMC Med Res Methodol
January 2025
Biostatistics Research Group, Department of Population Health Sciences, University of Leicester, Leicester, UK.
Background: Since 2015, the Complex Reviews Synthesis Unit (CRSU) has developed a suite of web-based applications (apps) that conduct complex evidence synthesis meta-analyses through point-and-click interfaces. This has been achieved in the R programming language by combining existing R packages that conduct meta-analysis with the shiny web-application package. The CRSU apps have evolved from two short-term student projects into a suite of eight apps that are used for more than 3,000 h per month.
View Article and Find Full Text PDFParkinsonism Relat Disord
January 2025
Chulalongkorn Centre of Excellence for Parkinson's Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, 10330, Thailand; The Academy of Science, The Royal Society of Thailand, Bangkok, 10330, Thailand. Electronic address:
Introduction: Detecting Freezing of Gait (FOG) poses challenges, with the subjective 6-item FOG Questionnaire relying solely on patient perception. We aim to create a holistic FOG Detection Toolkit combining subjective and objective elements (descriptions, images, and videos) to improve FOG detection precision.
Methods: Development of the FOG Detection Toolkit involved a detailed cover sheet on FOG and its triggers, along with video exemplars and a 4-item FOG-specific self-assessment questionnaire, all rigorously validated.
J Neural Eng
January 2025
Department of Neuroscience, Northwestern University, 303 East Chicago Ave, Chicago, Illinois, 60611, UNITED STATES.
Objective: Creating an intracortical brain-computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to computing a global iBCI decoder. We aimed to develop a method that differs from a globally optimized decoder to address this issue.
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