Objective: Digital symptom-checkers (SCs) have potential to improve rheumatology triage and reduce diagnostic delays. In addition to being accurate, SCs should be user friendly and meet patient's needs. Here, we examined usability and acceptance of -a new and freely available online SC (currently with >44 000 users)-in a real-world setting.
Methods: Study participants were recruited from an ongoing prospective study, and included people ≥18 years with musculoskeletal complaints completing online. The user experience survey comprised five usability and acceptability questions (11-point rating scale), and an open-ended question regarding improvement of Data were analysed in R using t-test or Wilcoxon rank test (group comparisons), or linear regression (continuous variables).
Results: A total of 12 712 people completed the user experience survey. The study population had a normal age distribution, with a peak at 50-59 years, and 78% women. A majority found useful (78%), thought the questionnaire gave them an opportunity to describe their complaints well (76%), and would recommend to friends and other patients (74%). Main shortcoming was that 36% thought there were too many questions. Still, 39% suggested more detailed questions, and only 2% suggested a reduction of questions.
Conclusion: Based on real-world data from the largest user evaluation study of a digital SC in rheumatology, we conclude that is well accepted by women and men with rheumatic complaints, in all investigated age groups. Wide-scale adoption of , therefore, seems feasible, with promising scientific and clinical implications on the horizon.
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http://dx.doi.org/10.1136/rmdopen-2022-002974 | DOI Listing |
Glob Ment Health (Camb)
December 2024
Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Background: Engaging with personal mental health stories has the potential to help people with mental health difficulties by normalizing distressing experiences, imparting coping strategies and building hope. However, evidence-based mental health storytelling platforms are scarce, especially for young people in low-resource settings.
Objective: This paper presents an account of the co-design of 'Baatcheet' ('conversation' in Hindi), a peer-supported, web-based storytelling intervention aimed at 16-24-year-olds with depression and anxiety in New Delhi, India.
Bioinform Adv
December 2024
Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, United States.
Motivation: The expansion of genetic association data from genome-wide association studies has increased the importance of methodologies like Polygenic Risk Scores (PRS) and Mendelian Randomization (MR) in genetic epidemiology. However, their application is often impeded by complex, multi-step workflows requiring specialized expertise and the use of disparate tools with varying data formatting requirements. Existing solutions are frequently standalone packages or command-line based-largely due to dependencies on tools like PLINK-limiting accessibility for researchers without computational experience.
View Article and Find Full Text PDFFront Hum Neurosci
December 2024
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.
Introduction: As brain-computer interfacing (BCI) systems transition fromassistive technology to more diverse applications, their speed, reliability, and user experience become increasingly important. Dynamic stopping methods enhance BCI system speed by deciding at any moment whether to output a result or wait for more information. Such approach leverages trial variance, allowing good trials to be detected earlier, thereby speeding up the process without significantly compromising accuracy.
View Article and Find Full Text PDFTransl Vis Sci Technol
January 2025
Amsterdam UMC, Vrije Universiteit Amsterdam, Ophthalmology, Amsterdam, The Netherlands.
Purpose: This study assessed objective performance, usability, and acceptance of artificial intelligence (AI) by people with vision impairment. The goal was to provide evidence-based data to enhance technology selection for people with vision loss (PVL) based on their loss and needs.
Methods: Using a cross-sectional, counterbalanced, cross-over study involving 25 PVL, we compared performance using two smart glasses (OrCam and Envision Glasses) and two AI apps (Seeing AI and Google Lookout).
Cad Saude Publica
December 2024
Escola de Enfermagem, Universidade de São Paulo, São Paulo, Brasil.
This review aimed to identify and synthesize the perceptions of mental healthcare professionals, family members, and users about mental health crisis interventions for children and adolescents at hospitals and community mental health services. A qualitative systematic review was conducted following the Joanna Briggs Institution guidelines. The search was performed in 15 databases, with no temporal delimitation, and included studies in Portuguese, English, and Spanish.
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