Purpose: The purpose of this exploratory study was to investigate the effectiveness of vision screenings performed during school entrance physical examinations compared with comprehensive vision examinations in the state of Kentucky, which mandates comprehensive eye examinations for children, ages 3 to 6, who are entering the public school system.
Methods And Subjects: In this exploratory study, 1,386 children had forms submitted from 36 optometrists and 1 ophthalmologist reporting on their vision and eye problems. Vision and eye problems were defined as the presence of strabismus, amblyopia, or a refractive error requiring an optical correction, as determined by the optometrists or ophthalmologist using cycloplegic refraction. Among these 1,386 children, there were 300 diagnosed with vision problems.
Results: Sixty-six children were diagnosed with a vision problem who had not previously been to an eye doctor and had received a vision screening at their school entrance physical examination. In 56 of these 66 children, the vision problem was not detected by the vision screening, according to the parents.
Conclusion: The exploratory study suggests that comprehensive vision examinations may identify some vision problems that were not found in children's preschool physical examinations that included vision screenings. A larger randomized study is needed to determine the most appropriate method of timely diagnosis of vision problems in children that can be corrected with early intervention in order to ensure the vision health and well-being of children entering the public school system.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.optm.2007.07.009 | DOI Listing |
J Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFNeurology
February 2025
Department of Ophthalmology and Vision Sciences, University of Toronto, Ontario, Canada.
Annu Rev Biomed Data Sci
January 2025
1Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA;
Cancer remains a leading cause of death globally. The complexity and diversity of cancer-related datasets across different specialties pose challenges in refining precision medicine for oncology. Foundation models offer a promising solution.
View Article and Find Full Text PDFArq Bras Oftalmol
January 2025
Research Nucleus in Neuroscience and Behavior and Applied Neuroscience, Universidade de São Paulo, São Paulo, SP, Brazil.
Purpose: Amblyopia is a cortical neurological disorder caused by abnormal visual experiences during the critical period for visual development. Recent works have shown that, in addition to the well-known visual alterations, such as changes in visual acuity, several perceptual aspects of vision are affected. This study aims to analyze and compare the effects of different types of amblyopia on visual color processing and determine whether these effects are correlated with visual acuity.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Facultad de Ciencias de la Rehabilitación, Universidad Andrés Bello, Santiago de Chile, Chile.
This study aimed to identify the competencies required by primary health care managers for the effective performance of their functions. A systematic review was conducted according to PRISMA, in the databases PubMed, Scopus, Web of Science, and CINAHL, up to May 2023, in the last 10 years. The inclusion criteria were quantitative, qualitative, or mixed studies that evaluated the competencies required for primary health care managers and published in English, Spanish, or Portuguese.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!