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Objectives: Patients with a jejunostomy use their tube daily in most cases, which exposes them to various complications. However, to our knowledge, the current literature is limited regarding available educational interventions or tools for these patients, and no specific competency framework for surgical jejunostomy has been developed yet. This project aimed to develop a unique and adapted competency framework for surgical jejunostomy patients through a multiprofessional and consensus-driven approach and to create a fun educational tool based on this framework to promote an effective educational approach.
Methods: A multidisciplinary working group was formed to develop the competency framework for patients with a surgical jejunostomy. Based on the identified priority competencies, an educational game was designed.
Results: Fifty-nine competencies were identified to constitute the competency framework: twenty-eight related to knowledge, sixteen related to know-how and fifteen related to attitudes, each divided into six items. Among these, twenty competencies were considered as priorities. The "Jejunostomy Game", an educational tool inspired by Trivial Pursuit® was developed for patients using a surgical jejunostomy tube for feeding.
Conclusion: This work appears essential to benefit both the patients and the various healthcare professionals who support them. It would be relevant to test the "Jejunostomy Game" to evaluate its effectiveness by measuring the knowledge and skills of patients.
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http://dx.doi.org/10.1016/j.pharma.2025.09.002 | DOI Listing |
Water Res
September 2025
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address:
Groundwater overextraction presents persistent challenges due to strategic interdependence among decentralized users. While game-theoretic models have advanced the analysis of individual incentives and collective outcomes, most frameworks assume fully rational agents and neglect the role of cognitive and social factors. This study proposes a coupled model that integrates opinion dynamics with a differential game of groundwater extraction, capturing the interaction between institutional authority and evolving stakeholder preferences.
View Article and Find Full Text PDFPLoS One
September 2025
Washington Department of Fish and Wildlife, Olympia, Washington, United States of America.
Natural resource management agencies commonly conduct outreach and engagement with the public, with the goals of raising awareness, educating constituents, encouraging compliance with rules, and supporting future participation in management processes. In Washington, USA, significant effort was invested over more than a decade to inform and engage recreational anglers and divers, and the broader public, in recovery efforts related to rockfish species (Sebastes spp.) listed for protection under the Endangered Species Act (ESA).
View Article and Find Full Text PDFPLoS One
September 2025
Department of Maths and Computer Science, Faculty of Science, University of Kinshasa, Kinshasa, The Democratic Republic of the Congo.
Reliable and timely fault diagnosis is critical for the safe and efficient operation of industrial systems. However, conventional diagnostic methods often struggle to handle uncertainties, vague data, and interdependent multi-criteria parameters, which can lead to incomplete or inaccurate results. Existing techniques are limited in their ability to manage hierarchical decision structures and overlapping information under real-world conditions.
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science and Technology, Huaiyin Normal University, Huai'an, Jiangsu, China.
Previous studies have demonstrated that metric learning approaches yield remarkable performance in the field of kinship verification. Nevertheless, a prevalent limitation of most existing methods lies in their over-reliance on learning exclusively from specified types of given kin data, which frequently results in information isolation. Although generative-based metric learning methods present potential solutions to this problem, they are hindered by substantial computational costs.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Computer Science, COMSATS University Islamabad, Sahiwal, Pakistan.
The widespread dissemination of fake news presents a critical challenge to the integrity of digital information and erodes public trust. This urgent problem necessitates the development of sophisticated and reliable automated detection mechanisms. This study addresses this gap by proposing a robust fake news detection framework centred on a transformer-based architecture.
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