Introduction: The 2017 Tobacco Cessation Guidelines for High-risk Groups (TOB-G) is a comprehensive document on best practices for smoking cessation in clinical practice. The purpose of this pilot study was to assess physician satisfaction and changes in tobacco-related knowledge, self-efficacy and attitudes following exposure to training in the TOB-G guidelines for patients with cardiovascular disease (CVD), chronic obstructive pulmonary disease (COPD), or diabetes.
Methods: A pre-post pilot study was conducted. All participating physicians received an electronic or printed copy of the TOB-G guidelines for patients with CVD, COPD or diabetes. Physicians were also exposed to a one-day training focused on the key clinical practice recommendations from the TOB.g guidelines. Outcome measurement occurred via survey before, immediately following and 6 months after exposure to the training.
Results: Fifty physicians participated in the TOB.g training session. High rates of participant satisfaction were documented (exceeded expectations 47.7%; met expectations to a great extent 52.3%). Significant increases in physician knowledge and self-efficacy were documented immediately following and 6 months after exposure to the guideline training session. Exposure to the training was associated with positive changes in some but not all tobacco-related treatment attitudes, however these were no longer significant at the 6-month follow-up. Lower knowledge, confidence and unfavourable attitudes were documented for aspects of treatment related to pharmacotherapy.
Conclusions: Positive changes in previously reported barriers to the delivery of tobacco treatment among physicians were documented following exposure to the TOB.g guidelines and training for patients with CVD, COPD or diabetes.
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http://dx.doi.org/10.18332/tpc/87090 | DOI Listing |
JMIR Form Res
January 2025
Early Intervention in Psychosis Advisory Unit for South-East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Background: Shared decision-making between clinicians and service users is crucial in mental health care. One significant barrier to achieving this goal is the lack of user-centered services. Integrating digital tools into mental health services holds promise for addressing some of these challenges.
View Article and Find Full Text PDFJMIR Med Educ
January 2025
Department of Orthopedics, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Background: Teaching severe pelvic trauma poses a significant challenge in orthopedic surgery education due to the necessity of both clinical reasoning and procedural operational skills for mastery. Traditional methods of instruction, including theoretical teaching and mannequin practice, face limitations due to the complexity, the unpredictability of treatment scenarios, the scarcity of typical cases, and the abstract nature of traditional teaching, all of which impede students' knowledge acquisition.
Objective: This study aims to introduce a novel experimental teaching methodology for severe pelvic trauma, integrating virtual reality (VR) technology as a potent adjunct to existing teaching practices.
PLoS One
January 2025
Interventional Psychiatry Program, St. Michael's Hospital, Toronto, Ontario, Canada.
Background: Posttraumatic stress disorder (PTSD) affects 3.9% of the general population. While massed cognitive processing therapy (CPT) has demonstrated efficacy in treating chronic PTSD, a substantial proportion of patients still continue to meet PTSD criteria after treatment, highlighting the need for novel therapeutic approaches.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Neuroscience, University of Padova, Padua, Italy.
In this study, we explored the biocultural mechanisms underlying ancient craft behaviours. Archaeological methods were integrated with neuroscience techniques to explore the impact on neuroplasticity resulting from the introduction of early pottery techniques. The advent of ceramic marked a profound change in the economy and socio-cultural dynamics of past societies.
View Article and Find Full Text PDFPLoS One
January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
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