Purpose: The importance of a framework for a systematic structured assessment of the benefits and risks has been established, but in addition, it is necessary that the benefit-risk decisions and the processes to derive those decisions are documented and communicated to various stakeholders for accountability. Hence there is now a need to find appropriate tools to enhance communication between regulators and other stakeholders, in a manner that would uphold transparency, consistency and standards.
Methods: A retrospective, non-comparative study was conducted to determine the applicability and practicality of a summary template in documenting benefit-risk assessment and communicating benefit-risk balance and conclusions for reviewers to other stakeholders. The benefit-risk (BR) Summary Template and its User Manual was evaluated by 12 reviewers within a regulatory agency in Singapore, the Health Sciences Authority (HSA).
Results: The BR Summary Template was found to be adequate in documenting benefits, risks, relevant summaries and conclusions, while the User Manual was useful in guiding the reviewer in completing the template. The BR Summary Template was also considered a useful tool for communicating benefit-risk decisions to a variety of stakeholders.
Conclusions: The use of a template may be of value for the communicating benefit-risk assessment of medicines to stakeholders.
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http://dx.doi.org/10.3389/fphar.2015.00099 | DOI Listing |
Nutrients
January 2025
Department of Nutrition, General Hospital of Thessaloniki "G. Gennimatas", 41 Ethnikis Aminis Str., GR-54635 Thessaloniki, Greece.
Background/objectives: Feeding and eating disorders (FEDs) constitute an important mental health problem today, especially among youngsters. The Sick, Control, One, Fat, Food (SCOFF) questionnaire was developed 25 years ago and remains the most frequently applied screening tool for FEDs among adults and youngsters. The aim of the present study was to translate and adapt the SCOFF questionnaire to the Greek language, using a tertiary-setting adolescent sample.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. Given the dynamic, multi-source, and heterogeneous characteristics of data in typical mining scenarios, traditional manual assessment methods are limited in their information processing capacity and cost-effectiveness. This study addresses these challenges by proposing an embodied intelligent system for mine safety assessment based on multi-level large language models (LLMs) for multi-source sensor data.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department 5-Medical Specicalties, Geriatrics-Gerontology, Faculty of Medicine, Iuliu Hațieganu University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania.
The aging population poses a significant challenge to global public health, impacting the physical, mental, and social health of older adults. Social activity has been widely acknowledged as a protective factor for both mental and physical well-being. Research indicates that consistent engagement in social activities can mitigate the risk of depression, prevent cognitive decline, and support physical functionality.
View Article and Find Full Text PDFInt J Environ Res Public Health
January 2025
Department of Behavioral Science and Health Equity, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO 63103, USA.
: African Americans (AAs) carry the largest burden for almost every type of cancer in the US and are also more likely to die from cancer. Approximately 10% of cancers can be explained by a hereditary factor and detected earlier. Many AAs, however, have inequitable access to hereditary cancer risk assessment (HCRA) tools and information, further exacerbating disparities in cancer rates.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
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