Introduction: The Surgeons OverSeas Assessment of Surgical Needs (SOSAS) survey tool is used to determine the unmet surgical needs in the community and has been validated in several countries. A major weakness is the absence of an objective assessment to verify patient-reported surgically treatable conditions. The goal of this study was to determine whether a picture portfolio, a tool previously shown to improve parental recognition of their child's congenital deformity, could improve the accuracy of the SOSAS tool by how it compares with physical examination. This study focused on children as many surgical conditions in them require prompt treatment but are often not promptly diagnosed.
Methods: We conducted a descriptive cross-sectional community-based study to determine the prevalence of congenital and acquired surgical conditions among children and adults in a mixed rural-urban area of Lagos, Southwest Nigeria. The picture portfolio was administered only to children and the surgical conditions to be assessed were predetermined using an e-Delphi process among pediatric surgeons. The modified The Surgeons OverSeas Assessment of Surgical Needs-Nigeria Survey Tool (SOSAS-NST) was administered to household members to collect other relevant data. Data were analyzed using the REDCap analytic tool.
Results: Eight hundred and fifty-six households were surveyed. There were 1984 adults (49.5%) and 2027 children (50.5%). Thirty-six children met the predetermined criteria for the picture portfolio-hydrocephalus (n = 1); lymphatic malformation (n = 1); umbilical hernia (n = 14); Hydrocele (n = 5); inguinal hernia (n = 10) and undescended testes (n = 5). The picture portfolio predicted all correctly except a case of undescended testis that was mistaken for a hernia. The sensitivity of the picture portfolio was therefore 35/36 or 97.2%.
Conclusions: The SOSAS-NST has improved on the original SOSAS tool and within the limits of the small numbers, the picture portfolio has a high accuracy in predicting diagnosis in children in lieu of physical examination.
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http://dx.doi.org/10.1016/j.jss.2022.11.069 | DOI Listing |
Adv Health Sci Educ Theory Pract
October 2024
Translational Health Research Institute, School of Medicine, Western Sydney University, Locked Bag 1797, South Penrith, NSW, 2751, Australia.
To adapt to medical school, students need to change their approaches to learning and study. Transformative learning through critical reflection on disorienting learning experiences supports perspective change to direct new activity. We explored how portfolio meetings support changes in students' perspectives towards learning and study during the transition to studying medicine.
View Article and Find Full Text PDFWe propose a novel method for predicting time-to-event data in the presence of cure fractions based on flexible survival models integrated into a deep neural network (DNN) framework. Our approach allows for nonlinear relationships and high-dimensional interactions between covariates and survival and is suitable for large-scale applications. To ensure the identifiability of the overall predictor formed of an additive decomposition of interpretable linear and nonlinear effects and potential higher-dimensional interactions captured through a DNN, we employ an orthogonalization layer.
View Article and Find Full Text PDFAnal Chem
May 2024
Institute of Chemistry, University of Graz, 8010 Graz, Austria.
Nanoparticles are produced at accelerating rates, are increasingly integrated into scientific and industrial applications, and are widely discharged into the environment. Analytical techniques are required to characterize parameters such as particle number concentrations, mass and size distributions, molecular and elemental compositions, and particle stability. This is not only relevant to investigate their utility for various industrial or medical applications and for controlling the manufacturing processes but also to assess toxicity and environmental fate.
View Article and Find Full Text PDFMethods Cell Biol
May 2024
CLF Octopus Facility, UKRI-Science and Technology Facilities Council, R92, Rutherford Appleton Laboratory, Didcot, United Kingdom.
Cryogenic ultrastructural imaging techniques such as cryo-electron tomography have produced a revolution in how the structure of biological systems is investigated by enabling the determination of structures of protein complexes immersed in a complex biological matrix within vitrified cell and model organisms. However, so far, the portfolio of successes has been mostly limited to highly abundant complexes or to structures that are relatively unambiguous and easy to identify through electron microscopy. In order to realize the full potential of this revolution, researchers would have to be able to pinpoint lower abundance species and obtain functional annotations on the state of objects of interest which would then be correlated to ultrastructural information to build a complete picture of the structure-function relationships underpinning biological processes.
View Article and Find Full Text PDFBMC Health Serv Res
April 2024
FIM Research Institute for Information Management, University of Bayreuth, Branch Business and Information Systems Engineering of the Fraunhofer FIT, Wittelsbacherring 10, 95444, Bayreuth, Germany.
Artificial intelligence (AI) applications pave the way for innovations in the healthcare (HC) industry. However, their adoption in HC organizations is still nascent as organizations often face a fragmented and incomplete picture of how they can capture the value of AI applications on a managerial level. To overcome adoption hurdles, HC organizations would benefit from understanding how they can capture AI applications' potential.
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