Background: Acute care teams (ACTs) represent action teams, that is, teams in which members with specialised roles must coordinate their actions during intense situations, often under high time pressure and with unstable team membership. Using behaviour observation, patient safety research has been focusing on defining teamwork behaviours-particularly coordination-that are critical for patient safety during these intense situations. As one result of this divergent research landscape, the number, scope and variety of applied behaviour observation taxonomies are growing, making comparison and convergent integration of research findings difficult.
Aim: To facilitate future ACT research by presenting a framework that provides a shared language of teamwork behaviours, allows for comparing previous and future ACT research and offers a measurement tool for ACT observation.
Method: Based on teamwork theory and empirical evidence, we developed Co-ACT-the Framework for Observing Coordination Behaviour in ACT. Integrating two previous, extensive taxonomies into Co-ACT, we also suggested 12 behavioural codes for which we determined inter-rater reliability by analysing the teamwork of videotaped anaesthesia teams in the clinical setting.
Results: The Co-ACT framework consists of four quadrants organised along two dimensions (explicit vs implicit coordination; action vs information coordination). Each quadrant provides three categories for which Cohen's κ overall value was substantial; but values for single categories varied considerably.
Conclusions: Co-ACT provides a framework for organising behaviour codes and offers respective categories for succinctly measuring teamwork in ACTs. Furthermore, it has the potential to allow for guiding and comparing ACTs study results. Future work using Co-ACT in different research and training settings will show how well it can generally be applied across ACTs.
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http://dx.doi.org/10.1136/bmjqs-2012-001319 | DOI Listing |
BMC Bioinformatics
January 2025
College of Artificial Intelligence, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu, China.
Antimicrobial peptides (AMPs) have been widely recognized as a promising solution to combat antimicrobial resistance of microorganisms due to the increasing abuse of antibiotics in medicine and agriculture around the globe. In this study, we propose UniAMP, a systematic prediction framework for discovering AMPs. We observe that feature vectors used in various existing studies constructed from peptide information, such as sequence, composition, and structure, can be augmented and even replaced by information inferred by deep learning models.
View Article and Find Full Text PDFHered Cancer Clin Pract
January 2025
Department of Population Health Sciences, Geisinger, Danville, PA, 17822, USA.
Sci Rep
January 2025
Indian Institute of Public Health Shillong, Shillong, Meghalaya, India.
The effective prevention of many infectious and non-infectious diseases relies on people concurrently adopting multiple prevention behaviors. Individual characteristics, opinion leaders, and social networks have been found to explain why people take up specific prevention behaviors. However, it remains challenging to understand how these factors shape multiple interdependent behaviors.
View Article and Find Full Text PDFCurr Biol
January 2025
Max Planck Institute for Infection Biology, Virchowweg 12, 10117 Berlin, Germany; Marine Biological Laboratory, 7 Mbl St., Woods Hole, MA 02543, USA; Berliner Hochschule für Technik, Luxemburger Straße 10, 13353 Berlin, Germany. Electronic address:
Cellular processes are remarkably effective across diverse temperature ranges, even with highly conserved proteins. In the context of the microtubule cytoskeleton, which is critically involved in a wide range of cellular activities, this is particularly striking, as tubulin is one of the most conserved proteins while microtubule dynamic instability is highly temperature sensitive. Here, we leverage the diversity of natural tubulin variants from three closely related frog species that live at different temperatures.
View Article and Find Full Text PDFFood Chem
January 2025
Institute of Bast Fiber Crops & Center of Southern Economic Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China. Electronic address:
Sensitive intelligent films can be used to accurately monitor food freshness. In this study, a cellulose acetate curcumin-loaded cyclodextrin (CD)-based metal-organic framework intelligent film (CA-Cur@CD-MOF) was developed to monitor shrimp freshness at different spoilage stages in real time. The mechanical, barrier, optical, and ammonia-sensitive properties of this film were studied.
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