Objective: To better understand how human error contributes to U.S. Navy diving accidents.
Background: An analysis of 263 U.S. Navy diving accident and mishap reports revealed that the human factors classifications were not informative for further analysis, and 70% of mishaps were attributed to unknown causes; only 23% were attributed to human factors.
Method: Five diving fatality reports were examined using the consensual qualitative research (CQR) method to develop a taxonomy of six categories and 21 subcategories for classifying human errors in diving. In addition, 15 critical incident technique (CIT) interviews were conducted with U.S. Navy divers who had been involved in a diving accident or near miss and analyzed using the dive team error taxonomy.
Results: Overall, failures in situation awareness and leadership were the most common human errors made by the dive team.
Conclusion: The dive team human error taxonomy could aid in accident investigation and in the training and evaluation of U.S. Navy divers.
Application: The development of the dive team human error taxonomy has generated a number of considerations that researchers should take into account when developing, or adapting, an error taxonomy from one industry to another.
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http://dx.doi.org/10.1518/001872007X312450 | DOI Listing |
Invest Ophthalmol Vis Sci
January 2025
Southern California College of Optometry at Marshall B Ketchum University, Fullerton, California, United States.
Purpose: When treating amblyopia, it is important to define when visual acuity (VA) is no longer improving (i.e., stable) because treatment decisions may be altered based on this determination.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
Institute for Applied Mathematics, University of Bonn, Bonn, Germany.
Purpose: To quantify outer retina structural changes and define novel biomarkers of inherited retinal degeneration associated with biallelic mutations in RPE65 (RPE65-IRD) in patients before and after subretinal gene augmentation therapy with voretigene neparvovec (Luxturna).
Methods: Application of advanced deep learning for automated retinal layer segmentation, specifically tailored for RPE65-IRD. Quantification of five novel biomarkers for the ellipsoid zone (EZ): thickness, granularity, reflectivity, and intensity.
Front Public Health
January 2025
Department of Immunity, Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang, China.
Background: HFMD is a common infectious disease that is prevalent worldwide. In many provinces in China, there have been outbreaks and epidemics of whooping cough, posing a threat to public health.
Purpose: It is crucial to grasp the epidemiological characteristics of HFMD in Quzhou and establish a prediction model for HFMD to lay the foundation for early warning of HFMD.
Cureus
December 2024
Ophthalmology, University of Washington, Seattle, USA.
Objective: This study investigates the refractive accuracy of eight intraocular lens (IOL) power calculation formulas in patients with postoperative refractive surprise after phacoemulsification. It aims to determine if a different formula could result in better refractive outcomes in these eyes.
Methods And Analysis: We retrospectively reviewed consecutive patients undergoing uncomplicated phacoemulsification as a sole procedure between March 2007 and September 2020 at the University of Washington by glaucoma subspecialists as part of a study investigating cataract surgery in normal eyes.
Heliyon
November 2024
Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Ubiquitous white light-emitting diodes (LEDs) possess optical properties that differ from those of natural light. This difference can impact visual perception and biological functions, thus potentially affecting eye health. Myopia, which leads to visual impairments and potentially irreversible vision loss or blindness, is the most prevalent refractive error worldwide.
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