Comparison of visual acuity charts identifying visual impairment among older people outside the eye clinic

2012 ◽  
Vol 35 (16) ◽  
pp. 1394-1400 ◽  
Author(s):  
Lisbeth Claesson ◽  
Johanna Blomstrand ◽  
Kajsa Eklund ◽  
Kristina Eriksson ◽  
Synneve Dahlin-Ivanoff
2017 ◽  
Author(s):  
M Akashi ◽  
M Akizuki ◽  
M Cobham ◽  
N Itoh ◽  
N. J Miller ◽  
...  

2018 ◽  
Vol 10 (4) ◽  
Author(s):  
Paulo Ramiler Silva ◽  
Tiago Farias ◽  
Fernando Cascio ◽  
Levi Dos Santos ◽  
Vinícius Peixoto ◽  
...  

The visual acuity loss enables the brain to access new pathways in the quest to overcome the visual limitation and this is wellknown as neuroplasticity which have mechanisms to cortical reorganization. In this review, we related the evidences about the neuroplasticity as well as cortical anatomical differences and functional repercussions in visual impairments. We performed a systematic review of PUBMED database, without date or status publication restrictions. The findings demonstrate that the visual impairment produce a compensatory sensorial effect, in which non-visual areas are related to both cross (visual congenital) and multimodal (late blind) neuroplasticity.


2021 ◽  
Vol 15 ◽  
Author(s):  
Reem Almagati ◽  
Barry S. Kran

The Pandemic of 2020 impacted conducting in-person research. Our proposed project already had an asynchronous online component but was later morphed to add a synchronous online component, thereby eliminating the need for in-person assessment. The project compares the results of various tests between a group of children with Cerebral Visual Impairments (CVI) (N = 4) and an age-matched sample of children without CVI (N = 3) from a pediatric low vision clinic. This model was trialed with a small convenient sample of typically developing children in the same age range (N = 4). Given the positive feedback, recruitment for the larger study was done via encrypted e-mail rather than through traditional mailing. The asynchronous components included recruitment, pre-assessment information, the Flemish CVI questionnaire, Vineland-3 comprehensive parent questionnaire for assessment of age equivalent, and vision function tests, such as contrast sensitivity. The synchronous components were administered via Zoom telehealth provided by necoeyecare.org and included assessment of visual acuity via the Freiburg Visual Acuity and Contrast Test (FrACT) electronic software and assessment of visual perceptual batteries via the Children’s Visual Impairment Test for developmental ages 3–6-years (CVIT 3–6). Our virtual testing protocol was successful in the seven participants tested. This paper reviews and critiques the model that we utilized and discusses ways in which this model can be improved. Aside from public health considerations during the pandemic, this approach is more convenient for many families. In a broader perspective, this approach can be scaled for larger N studies of rare conditions, such as CVI without being confined by proximity to the researcher.


Author(s):  
Abdul Rauf Awan ◽  
Junaid Jamshed ◽  
Muhammad Mushtaq Khan ◽  
Zahid Latif

<p class="abstract"><strong>Background:</strong> Vision loss<strong> </strong>in childhood has serious implications in all stages of child’s growth and development. It poses social, educational and occupational challenges, with affected children being at greater risk of developing behavioral, psychological and emotional problems, lower self-esteem and poorer social integration. The aim of this study was to assess the prevalence and identify the causes of visual impairment and blindness in school children of UC Gojra, Muzaffarabad, Pakistan so that prevention strategies could be implemented.</p><p class="abstract"><strong>Methods:</strong> This was a<strong> </strong>school-based descriptive cross-sectional study conducted among public and private schools. A multi-stage stratified random sampling technique was used for selecting study participants aged 5-20 years from 24 schools in Muzaffarabad. The vision of school children was examined for visual acuity using standard Snellen chart. Those participants who had visual acuity of &lt;6/18 in either eye underwent a more detailed ophthalmic examination to diagnose the causes of VI. An exploration of demographic variables was conducted using Chi-square test.  </p><p class="abstract"><strong>Results:</strong> The mean age of participants was 10±2.83.<strong> </strong>The prevalence of visual impairment was 19.6% and 2.3% for severe visual impairment. The age group most affected by VI was 11-15 years (74.2%). There were increased chances of developing VI with advancing age of the participants. Males contributed 88.7% of the cases of VI while females contributed only 11.3%. The class category 5-6 had higher percentage of VI cases (32.7%). Public schools contributed 52.8% of the cases of VI while for private schools the corresponding percentage was 47.2%. The leading cause of VI was refractive error (89.3%) followed by amblyopia (5.0%). Other causes of VI included cataract (1.2%), corneal disease (1.8%), strabismus (1.8%) and nystagmus (0.6%).</p><p class="abstract"><strong>Conclusions:</strong> There is a need to implement school health policy on visual screening prior to admissions in schools and annual eye screening program for early detection and prompt treatment of eye problems among school children in Muzaffarabad.</p>


2021 ◽  
Vol 17 (4) ◽  
pp. 343-355
Author(s):  
Lavanya G. Rao ◽  
Dushyanth Sharma ◽  
Sulatha V. Bhandary ◽  
Divya Handa ◽  
Yogish Kamath

Aim: To assess the prevalence of severe visual impairment (SVI) and reasons for not accessing eye care services in a field practice area of a tertiary care hospital. Study design: Cross-sectional observational study. Materials and methods: Through a cross-sectional study using simple random sampling, a total of 1510, individuals above 18 years of age, from six rural and maternity welfare centers (RMCW) within a distance of 20 km from a tertiary hospital were approached. All participants underwent basic assessment of visual acuity, anterior segment evaluation using torch light, and answered a structured questionnaire on eye care. Results: Of 1510 subjects, 267 had SVI (defined as visual acuity < 6/60 either in one or both eyes) with a prevalence of 17.7%. SVI was higher among men and those above 60 years of age (52.8%). Significant association was found between barriers to accessing eye care facilities and lack of knowledge to access health care (p = 0.004), lack of financial support (95% CI, p = 0.006), and social reasons (95% CI, p = 0.028). Prevalence of SVI among diabetics was 32.7% as compared to non-diabetics (OR: 2.630; 95% confidence interval: 1.864–3.712), and among hypertensives was 34.61% as compared to non-hypertensives (OR: 2.836; 95% confidence interval: 1.977–4.068). Conclusion: In spite of being close to a tertiary care center, a prevalence of SVI in 17.7% of this population indicates a lack of knowledge regarding the importance of self-health care in subjects. This emphasizes the need to increase the awareness among the general public to access the ophthalmic health care facilities in order to improve the ocular health of the patients.


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