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Loneliness is associated with different structural brain changes in schizophrenia spectrum disorders and major depression.
Schizophr Res
January 2025
Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; German Center for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm, Germany. Electronic address:
Background: Loneliness, distress from having fewer social contacts than desired, has been recognized as a significant public health crisis. Although a substantial body of research has established connections between loneliness and various forms of psychopathology, our understanding of the neural underpinnings of loneliness in schizophrenia spectrum disorders (SSD) and major depressive disorder (MDD) remains limited.
Methods: In this study, structural magnetic resonance imaging (sMRI) data were collected from 57 SSD and 45 MDD patients as well as 41 healthy controls (HC).
Risk-stratified Care Improves Pain-related Knowledge and Reduces Psychological Distress for Low Back Pain: A Secondary Analysis of a Randomized Trial.
Clin Orthop Relat Res
January 2025
Department of Rehabilitation Medicine, Brooke Army Medical Center, JBSA Fort Sam Houston, TX, USA.
Background: A number of efforts have been made to tailor behavioral healthcare treatments to the variable needs of patients with low back pain (LBP). The most common approach involves the STarT Back Screening Tool (SBST) to triage the need for psychologically informed care, which explores concerns about pain and addresses unhelpful beliefs, attitudes, and behaviors. Such beliefs that pain always signifies injury or tissue damage and that exercise should be avoided have been implied as psychosocial mediators of chronic pain and can impede recovery.
View Article and Find Full Text PDFThe Significance of a Cerebrovascular Accident Outcome Prediction Model for Patients, Family Members, and Health Care Professionals: Qualitative Evaluation Study.
JMIR Hum Factors
January 2025
Department of Value Improvement, St. Antonius Hospital, Nieuwegein, Netherlands.
Background: Patients with cerebrovascular accident (CVA) should be involved in setting their rehabilitation goals. A personalized prediction of CVA outcomes would allow care professionals to better inform patients and informal caregivers. Several accurate prediction models have been created, but acceptance and proper implementation of the models are prerequisites for model adoption.
View Article and Find Full Text PDFPatient Voices: Multimethod Study on the Feasibility of Implementing Electronic Patient-Reported Outcome Measures in a Comprehensive Cancer Center.
JMIR Cancer
January 2025
Scientific Directorate, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy.
Background: "Patient Voices" is a software developed to promote the systematic collection of electronic patient-reported outcome measures (ePROMs) in routine oncology clinical practice.
Objective: This study aimed to assess compliance with and feasibility of the Patient Voices ePROM system and analyze patient-related barriers in an Italian comprehensive cancer center.
Methods: Consecutive patients with cancer attending 3 outpatient clinics and 3 inpatient wards were screened for eligibility (adults, native speakers, and being able to fill in the ePROMs) and enrolled in a quantitative and qualitative multimethod study.
Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study.
JMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.
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