Background And Hypothesis: A plausible cause of distress for voice hearers is listening to and believing the threats and criticisms heard. Qualitative research indicates that patients have understandable reasons to listen. This study aimed to develop the understanding of distress using this listening and believing framework. Measures were developed of listening and believing voices and the reasons, and associations with distress tested.
Study Design: A cross-sectional study of patients hearing derogatory and threatening voices (N = 591). Listening and Believing-Assessment and Listening and Believing-Reasons item pools were completed, and assessments of distress. Exploratory and confirmatory factor analyses and structural equation modeling (SEM) were conducted.
Study Results: 52% (n = 307) of participants believed their voices most or all the time. Listening and believing had 4 factors: active listening, passive listening, believing, and disregarding. Higher levels of believing, active listening, and particularly passive listening were associated with higher levels of anxiety, depression, and voice distress. Reasons for listening and believing formed 7 factors: to better understand the threat; being too worn down to resist; to learn something insightful; being alone with time to listen; voices trying to capture attention; voices sounding like real people; and voices sounding like known people. Each type of reason was associated with active listening, passive listening, and believing. SEM showed that feeling worn down in particular accounted for listening and believing. Test-retest reliability of measures was excellent.
Conclusions: A framework of listening and believing negative voices has the potential to inform the understanding and treatment of voice distress.
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http://dx.doi.org/10.1093/schbul/sbac101 | DOI Listing |
J Voice
January 2025
School of Medicine - University of São Paulo (FM-USP), Speech Therapy, Physiotherapy and Occupational Therapy Department, São Paulo, São Paulo, Brazil. Electronic address:
Objective: To systematically assess the current state of speech-language-hearing (SLH) practices in health services addressing vocal care for transgender individuals, aiming to identify key themes and gaps in the existing body of knowledge.
Methods: This scoping review was based on the Joanna Briggs Institute manual and followed the recommendations of the Preferred Reporting Items for Systematic reviews and Meta-Analyses-Extension for Scoping Reviews. It was registered with the Open Science Framework Open Source 10.
BMJ Open
January 2025
Warwick Clinical Trials Unit, University of Warwick, Warwick Medical School, Coventry, UK.
Objectives: There is a paucity of qualitative research exploring the patient experience of living with a meniscal tear, vital to effective patient management. The aim of this study was to explore the experiences and expectations of treatment of patients aged 18-55 years with a meniscal tear of the knee.
Design: Qualitative study involving semistructured interviews.
Med Health Care Philos
December 2024
Medicine School, History of Medicine and Ethics Department, Istanbul Medeniyet University, Kuzey Kampus - Unalan Mahallesi, Unalan Sok D-100 Karayolu Yanyol, 34700, Uskudar/Istanbul, Turkey.
Artificial intelligence-based clinical decision support systems have a potential to improve clinical practice, but they may have a negative impact on the physician-patient dialogue, because of the control problem. Physician-patient dialogue depends on human qualities such as compassion, trust, and empathy, which are shared by both parties. These qualities are necessary for the parties to reach a shared understanding -the merging of horizons- about clinical decisions.
View Article and Find Full Text PDFActa Med Port
December 2024
Introduction: Preventive medicine is a subject of study due to the increasing evidence that it can cause more harm than good, and the population's interest in routine appointments is widely recognized. The main objective of this study was to understand users' expectations regarding routine appointments in primary health care and compare them to doctors' perceptions regarding these expectations.
Methods: We carried out a cross-sectional observational study in 2023 through the application of two questionnaires: one for adult patients and another for family physicians.
Front Comput Neurosci
November 2024
The Integrative Neuroscience of Communication Unit, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD, United States.
Functional connectivity (FC) refers to the activation correlation between different brain regions. FC networks as typically represented as graphs with brain regions of interest (ROIs) as nodes and functional correlation as edges. Graph neural networks (GNNs) are machine learning architectures used to analyze FC graphs.
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