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Activating waitlists: Identifying barriers and facilitators to pain self-management while waiting.
Br J Pain
January 2025
School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.
Objectives: Waitlists for pain management services are often extensive, risking psychological and physical decline and patient non-engagement in treatment once accessed. Currently, for outpatient pain management, no standardised waiting list interventions exist, resulting in passive waiting. To arrest prospective wait-related decline(s), this study aimed to identify the barriers and facilitators to pain self-management while waiting, forming the foundation for a waitlist intervention development.
View Article and Find Full Text PDFAllied Health Professionals' Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey.
JMIR Form Res
December 2024
Pharmacy Department, Gold Coast Hospital and Health Service, Southport, Australia.
Background: Artificial intelligence (AI) has the potential to address growing logistical and economic pressures on the health care system by reducing risk, increasing productivity, and improving patient safety; however, implementing digital health technologies can be disruptive. Workforce perception is a powerful indicator of technology use and acceptance, however, there is little research available on the perceptions of allied health professionals (AHPs) toward AI in health care.
Objective: This study aimed to explore AHP perceptions of AI and the opportunities and challenges for its use in health care delivery.
Multimodality imaging features of systemic amyloidosis: a case report.
BMC Cardiovasc Disord
January 2025
Department of Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Background: Systemic light chain amyloidosis is a rare and debilitating disease, especially for which initially presented with digestive tract involvement. Myocardial amyloidosis is highly aggressive with generally poor prognosis and often resulted in missed diagnosis or misdiagnosis with routine examination tools. Multimodality imaging play an important role in diagnosing the amyloidosis effect on multiple organs.
View Article and Find Full Text PDFUse of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder: Preregistered Development and Usability Study Using Natural Language Processing.
JMIR Serious Games
December 2024
Department of Psychology, Lund University, Lund, Sweden.
Article Synopsis
- The study explores using natural language processing to analyze text responses from gamers as a potential complement to traditional rating scales for measuring gaming disorders.
- Researchers compared a new tool with 4 open-ended questions to a widely-used numerical rating scale, aiming to see if the qualitative data could enhance understanding of gaming-related mental states.
- After processing responses from 417 participants using a language model called HerBERT, they applied machine learning to predict gaming disorder scores based on the open-ended answers.
Attitudes, Beliefs, and Predictors of Gestational Weight Gain and Postpartum Weight Retention in South Africa: A Mixed Methods Analysis.
AIDS Behav
December 2024
Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Suboptimal gestational weight gain (GWG) is associated with pregnancy complications and postpartum weight retention (PPWR). Little data exists about GWG and PPWR attitudes and beliefs in low-and-middle-income countries (LMICs) to inform interventions. We examined GWG and PPWR attitudes, beliefs, and intentions among pregnant people, with and without HIV, in Cape Town, South Africa.
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