Objective: Patients and their caregivers utilize online discussion board forums as a means to seek and exchange information about their or a loved one's condition. It is important for providers to be aware of such concerns and experiences. The goal of this study was to identify the primary concerns expressed on these discussion boards regarding Chiari malformation type I (CM) and to help guide clinicians in understanding patient challenges in the treatment of CM.
Methods: The authors performed thematic analysis of anonymous online discussion board posts as identified through internet search engines. They then adopted a previously developed grounded theory method that utilizes a three-tiered coding and grouping process of posts based on commonly discovered content themes.
Results: Analysis of 400 discussion board posts identified four distinct themes raised by CM patients and their caregivers: the path to diagnosis, symptoms experienced, surgical intervention, and high emotional burden. Although each individual experience was unique, the path toward a CM diagnosis was expressed as a journey involving multiple physicians, alternative diagnoses, and feelings of dismissal from providers. The most common reported symptoms included dizziness, headaches, neck and back pain, sensory issues, weakness and paresthesias of the extremities, speech issues, and general fatigue. Additionally, there was an overall sense of uncertainty from patients seeking advice regarding surgical intervention, with users expressing diverse sentiments that included both positive and negative outcomes regarding surgical treatment. Lastly, a wide range of emotions was expressed related to a CM diagnosis, including concern, worry, anxiety, depression, stress, fear, and frustration.
Conclusions: CM is a frequent imaging diagnosis identified in patients presenting with a wide range of symptoms, and as a result this leads to a diverse set of patient experiences. Analysis of CM patient and caregiver discussion boards revealed key themes that clinicians may address when counseling for CM.
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http://dx.doi.org/10.3171/2023.11.PEDS23448 | DOI Listing |
Behav Res Methods
January 2025
CogNosco Lab, Department of Psychology and Cognitive Sciences, University of Trento, Trento, Italy.
We introduce EmoAtlas, a computational library/framework extracting emotions and syntactic/semantic word associations from texts. EmoAtlas combines interpretable artificial intelligence (AI) for syntactic parsing in 18 languages and psychologically validated lexicons for detecting the eight emotions in Plutchik's theory. We show that EmoAtlas can match or surpass transformer-based natural language processing techniques, BERT or large language models like ChatGPT 3.
View Article and Find Full Text PDFNeuroimage
January 2025
Center for Mind/Brain Sciences (CIMeC), University of Trento, 38068, Rovereto, (TN), Italy.
Transcranial magnetic stimulation (TMS) has the potential to yield insights into cortical functions and improve the treatment of neurological and psychiatric conditions. However, its reliability is hindered by a low reproducibility of results. Among other factors, such low reproducibility is due to structural and functional variability between individual brains.
View Article and Find Full Text PDFPublic Health
January 2025
Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Objectives: A key element in ensuring appropriate balance of harms and benefits in cancer screening is to develop a priority set of performance and outcome indicators to be used in screening data evaluation systems. These indicators need to be equity-focused, aligned to new screening approaches and broad-based to cover possible opportunistic screening, but at the same time as limited as possible.
Study Design: Indicators for breast, colorectal and cervical cancer screening programs were chosen through a consensus building Delphi methodology involving a panel of cancer screening experts.
Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
View Article and Find Full Text PDFPsychol Rep
January 2025
Department of Psychology, University of Liverpool, Liverpool, UK.
The attractiveness halo effect has been discussed for over a century. Physically attractive people are often judged more favourably and accrue many life advantages. Halo effects have been observed in university settings for decades, but perhaps their influence is waning due to increased awareness of unconscious bias.
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