Despite the availability of national evidenced-based guidelines related to pediatric obesity screening and prevention, multiple studies have shown that primary care physicians find it difficult to adhere to them or are unfamiliar with them altogether. This article presents physicians' perspectives on the use of electronic decision support tools, an alert and Smart Set, to accelerate the adoption of obesity-related recommendations into their practice. The authors interviewed providers using a test encounter walk-through technique that revealed a number of barriers to using electronic decision supports for obesity care in primary care settings. Providers' suggestions for improving their use of obesity-related decision supports are presented. Careful consideration must be given to both the development of electronic decision support tools and a multilayered educational outreach strategy if providers are going to be persuaded to use such supports to help them implement pediatric obesity prevention and management best practices.
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Lancet Digit Health
January 2025
Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. Electronic address:
Large language models (LLMs) offer promising applications in mental health care to address gaps in treatment and research. By leveraging clinical notes and transcripts as data, LLMs could improve diagnostics, monitoring, prevention, and treatment of mental health conditions. However, several challenges persist, including technical costs, literacy gaps, risk of biases, and inequalities in data representation.
View Article and Find Full Text PDFJ Pediatr Nurs
January 2025
University of Newcastle, Australia; Centre for Transformative Nursing, Midwifery, and Health Research: A JBI Centre of Excellence, Australia.
Objective: This review aims to investigate parents' preference for and use of Ibuprofen and Paracetamol in managing and treating children's fevers as well as the factors influencing their decision-making and practices.
Introduction: Parents globally face concern over managing children's fever, seeking relief while ensuring safety, often relying on accessible medications like Paracetamol and Ibuprofen.
Inclusion Criteria: The review included quantitative studies involving parents and caregivers managing fever in children aged 0-17 years.
Reg Anesth Pain Med
January 2025
Department of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, South Korea
Introduction: Postherpetic neuralgia (PHN) is a common complication of herpes zoster (HZ). This study aimed to use a large real-world electronic medical records database to determine the optimal machine learning model for predicting the progression to severe PHN and to identify the associated risk factors.
Methods: We analyzed the electronic medical records of 23,326 patients diagnosed with HZ from January 2010 to June 2020.
BMJ Open
January 2025
Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Introduction: With the development of technology, the use of machine learning (ML), a branch of computer science that aims to transform computers into decision-making agents through algorithms, has grown exponentially. This protocol arises from the need to explore the best practices for applying ML in the communication and management of occupational risks for healthcare workers.
Methods And Analysis: This scoping review protocol details a search to be conducted in the academic databases, Public Medical Literature Analysis and Retrieval System Online, through the Virtual Health Library: Medical Literature Analysis and Retrieval System, Latin American and Caribbean Literature in Health Sciences, West Pacific Region Index Medicus, Nursing Database and Scientific Electronic Library Online, Scopus, Web of Science and IEEE Xplore Digital Library and Excerpta Medica Database.
Food Res Int
January 2025
Universidade Estadual de Campinas, Faculdade de Ciências Aplicadas, Laboratório Multidisciplinar em Alimentos e Saúde, Brazil. Electronic address:
Pesticide use poses significant risks to human health and the environment. However, the public perception of pesticides is characterized by a number of factors, including risk perception. This study aimed to investigate the role of risk perception in two models: a) as a mediator between personal norms and pro-environmental attitudes of farm managers and b) as a mediator of trust in the purchase intention of consumers.
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