Clinical Relevance: Preschool vision screening is essential for the early detection and treatment of eye and vision problems.
Background: The rate of parental adherence to referrals for comprehensive examination was assessed and factors and potential barriers associated with adherence were identified.
Methods: In a prospective cohort study design, parents were offered to bring their 3-6 year old aged children to free-of-charge vision screening tests at community-based Mother Child Health Centers. Children with abnormal findings were referred to an ophthalmologist examination. Parents were interviewed three to six months after the referral to evaluate adherence and barriers. Barriers were organised into a conceptual framework of parental predisposing and health system factors. Adherence and barriers were assessed by sex, age, ethnic group and socio-economic-status.
Results: Altogether 1283 children (mean age 4.5 ± 0.6 years, 47.8% girls) were screened in the Jerusalem district, Israel. The ethnic groups, Jewish (ultra-Orthodox 51.4%, secular/religious 33.2%) and Arab (15.4%), were similar by age and sex, but not by socio-economic status. The overall referral rate was 23.0% (N = 295). Referral rate was not associated with demographic factors. Overall, 54.3% (N = 160) of parents adhered to the referral to bring the child for a full eye examination. Adherence did not differ with sex, ethnicity or socio-economic-status. Parents of 5-6-year-old children were significantly more likely to adhere than parents of younger children. Of parents who did not adhere, 79.3% were attributed to predisposing factors, 16.3% to system factors and 4.4% to other reasons.
Conclusions: Only half the parents proceeded with the recommended full eye examination. Parents of older children were more likely to adhere to referral. In contrast with vaccinations provided by Mother Child Health Centers, adherence to vision screening did not vary based on ethnicity or socio-economic factors. Since most barriers were associated with predisposing factors of parents, interventions to improve adherence should include parental education.
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http://dx.doi.org/10.1080/08164622.2022.2107891 | DOI Listing |
Front Public Health
January 2025
Department of Ophthalmology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Introduction: Diabetic retinopathy grading plays a vital role in the diagnosis and treatment of patients. In practice, this task mainly relies on manual inspection using human visual system. However, the human visual system-based screening process is labor-intensive, time-consuming, and error-prone.
View Article and Find Full Text PDFPediatr Rheumatol Online J
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Hamburger Zentrum für Kinder- und Jugendrheumatologie, am Schön Klinik Hamburg Eilbek, Hamburg, Germany.
Childhood blindness significantly impacts development, education, employment, and mental health, creating burden for families and society. Between 8% and 30% of children with Juvenile Idiopathic Arthritis (JIA) develop a potentially blinding chronic inflammatory eye disease, uveitis (JIAU). Alongside the use of disease-modifying agents and anti-TNF immunomodulators, JIAU surveillance has helped to reduce the risk of JIAU related blindness.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
Glaucoma is the leading cause of irreversible blindness globally. Research indicates a disproportionate impact of glaucoma on racial and ethnic minorities. Existing deep learning models for glaucoma detection might not achieve equitable performance across diverse identity groups.
View Article and Find Full Text PDFACS Omega
January 2025
Laboratory of Natural Products and Mass Spectrometry (LAPNEM), Faculty of Pharmaceutical Sciences, Food, and Nutrition (FACFAN), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.
Leishmaniases present a significant global health challenge with limited and often inadequate treatment options available. Traditional microscopic methods for detecting Leishmania amastigotes are time-consuming and error-prone, highlighting the need for automated approaches. This study aimed to implement and validate the YOLOv8 deep learning model for real-time detection, quantification, and categorization of Leishmania amastigotes to enhance drug screening assays.
View Article and Find Full Text PDFRev Neurosci
January 2025
557765 Network of Neurosurgery and Artificial Intelligence (NONAI), Universal Scientific Education and Research Network (USERN ), Tehran, Iran.
The recognition and classification of facial expressions using artificial intelligence (AI) presents a promising avenue for early detection and monitoring of neurodegenerative disorders. This narrative review critically examines the current state of AI-driven facial expression analysis in the context of neurodegenerative diseases, such as Alzheimer's and Parkinson's. We discuss the potential of AI techniques, including deep learning and computer vision, to accurately interpret and categorize subtle changes in facial expressions associated with these pathological conditions.
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