Objectives: To develop and validate an artificial intelligence (AI) system for measuring and detecting signs of carpal instability on conventional radiographs.
Materials And Methods: Two case-control datasets of hand and wrist radiographs were retrospectively acquired at three hospitals (hospitals A, B, and C). Dataset 1 (2178 radiographs from 1993 patients, hospitals A and B, 2018-2019) was used for developing an AI system for measuring scapholunate (SL) joint distances, SL and capitolunate (CL) angles, and carpal arc interruptions.
Background: A better understanding of the subjective experience of living with Parkinson's disease (PD) and the factors that influence this experience can be used to improve wellbeing of people with PD (PwP).
Objective: To gain more insight in the subjective experience of PD from the PwP's perspective, and the factors that contribute to this experience.
Methods: In this qualitative review, we performed a systematic search of qualitative studies discussing the subjective experience of PD and extracted reported themes (first order themes).
Background: Mental healthcare is an important component in societies' response to mental health problems. Although the World Health Organization highlights availability, accessibility, acceptability and quality of healthcare as important cornerstones, many Europeans lack access to mental healthcare of high quality. Qualitative studies exploring mental healthcare from the perspective of people with lived experiences would add to previous research and knowledge by enabling in-depth understanding of mental healthcare users, which may be of significance for the development of mental healthcare.
View Article and Find Full Text PDFIn this study, we aim to contribute to the field of critical health communication research by examining how notions of mental health and illness are discursively constructed in newspapers and magazines in six European countries and how these constructions relate to specific understandings of mental health literacy. Using the method of cluster-agon analysis, we identified four terminological clusters in our data, in which mental health/illness is conceptualized as "dangerous," "a matter of lifestyle," "a unique story and experience," and "socially situated." We furthermore found that we cannot unambiguously assume that biopsychiatric discourses or discourses aimed at empathy and understanding are either exclusively stigmatizing or exclusively empowering and normalizing.
View Article and Find Full Text PDFBackground: The mental healthcare treatment gap (mhcGAP) in adult populations has been substantiated across Europe. This study formed part of MentALLY, a research project funded by the European Commission, which aimed to gather qualitative empirical evidence to support the provision of European mental healthcare that provides effective treatment to all adults who need it.
Methods: Seven focus groups were conducted with 49 health professionals (HPs), including psychologists, psychiatrists, social workers, general practitioners, and psychiatric nurses who worked in health services in Belgium, Cyprus, Greece, the Netherlands, Norway and Sweden.