Trichotillomania (TTM) and skin-picking disorder (SPD) are two clinically related conditions that can be successfully treated with behavior therapy (BT). There is some research indicating that BT for TTM and SPD can be efficacious also when delivered online instead of face-to-face, however, previous studies have mainly used self-recruited samples in a university context and it is unclear if the effects of online BT also extend to regular psychiatric patients. The current study set out to investigate if internet-delivered BT (I-BT) is a feasible, acceptable and preliminarily efficacious treatment for patients in a routine psychiatric setting. Twenty-five adult clinician-referred patients with TTM ( = 7) and/or SPD ( = 18) received 10 weeks of therapist-guided I-BT. The I-BT program incorporated both traditional interventions (e.g. habit reversal) as well as more recent acceptance-based techniques (e.g. embracing the urges and mindfulness). Clinician- and self-rated outcomes were assessed at pretreatment, posttreatment and at the delivery of 4 additional booster modules. Results showed that the majority of the participants were satisfied with the treatment and found it credible. The average number of completed internet modules was 7.2/10; five participants ended treatment prematurely. Significant decreases in hair pulling and skin picking severity were demonstrated from pretreatment to posttreatment with within-group effect sizes ranging from = 0.89 to 1.75. The results remained significant up to the 12-month follow-up on most outcome measures. Altogether, the results provide initial evidence suggesting that I-BT could be a feasible, acceptable and potentially effective treatment for TTM and SPD for patients in a regular psychiatric setting.
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http://dx.doi.org/10.1016/j.invent.2022.100573 | DOI Listing |
Early Interv Psychiatry
February 2025
Orygen, Parkville, Victoria, Australia.
Aim: Accurate and appropriate cognitive screening can significantly enhance early psychosis care, yet no screening tools have been validated for the early psychosis population and little is known about current screening practices, experiences, or factors that may influence implementation. CogScreen is a hybrid type 1 study aiming to validate two promising screening tools with young people with first episode psychosis (primary aim) and to understand the context for implementing cognitive screening in early psychosis settings (secondary aim). This protocol outlines the implementation study, which aims to explore the current practices, acceptability, feasibility and determinants of cognitive screening in early psychosis settings from the perspective of key stakeholders.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Columbia University Vagelos College of Physicians and Surgeons, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York, USA.
Objective: Hearing loss (HL) is associated with depression, but existing datasets are limited by the type of data available for both hearing and mental health conditions. The purpose of this study is to determine if there is an association between HL and depressive disorders within a large bi-institutional electronic health record (EHR) system containing more granular diagnostic information.
Study Design: Cross-sectional epidemiologic study.
Alzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
View Article and Find Full Text PDFIntensive Crit Care Nurs
January 2025
Clinic for Intensive Care, Department of Acute Medicine, University Hospital Basel, Basel, Switzerland; Medical Faculty, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Basel, Switzerland.
Background: Workplace violence (WPV) presents challenges in intensive care units (ICUs) calling for reliable prediction of violence. This narrative review aimed to identify and evaluate risk assessment tools from acute care settings which are or might be used to predict violent behavior in adult ICU patients focusing on their performance and clinical utility.
Methods: A screening of PubMed, Scopus and Google Scholar was conducted to identify risk scores used in the acute care setting such as emergency departments, hospitals and ICUs.
JMIR Ment Health
January 2025
The Samueli Initiative for Responsible AI in Medicine, Tel Aviv University, Tel Aviv, Israel.
Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI's capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation.
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