View clinical trials related to Low Vision Aids.
Filter by:One goal of this research is to conduct a non-inferiority trial of telerehabilitation versus in-office care to provide follow-up training to individuals with low vision to enhance their quality of life by using magnification devices and/or visual assistive mobile apps for important daily activities, such as reading and/or other valued tasks. This is a high priority given the increasing prevalence of low vision, paucity of low vision rehabilitation providers, and barriers related to access to care, such as transportation and geography, which can be essentially eliminated with telerehabilitation. Another goal of this project is to determine whether significant changes in environmental data collected by Bluetooth low energy beacon sensors can be used as a solution to monitor and indicate when low vision patients' have abandoned the use of their magnification devices, which has the potential to substantially enhance patient management by providing timely low vision rehabilitation services.
According to the WHO's definition of visual impairment, as of 2018, there were approximately 1.3 billion people with visual impairment in the world, and only 10% of countries can provide assisting services for the rehabilitation of visual impairment. Although China is one of the countries that can provide rehabilitation services for patients with visual impairment, due to restrictions on the number of professionals in various regions, uneven diagnosis and treatment, and regional differences in economic conditions, not all visually impaired patients can get the rehabilitation of assisting device fitting. Traditional statistical methods were not enough to solve the problem of intelligent fitting of assisting devices. At present, there are almost no intelligent fitting models of assisting devices in the world. Therefore, in order to allow more low-vision patients to receive accurate and rapid rehabilitation services, we conducted a cross-sectional study on the assisting devices fitting for low-vision patients in Fujian Province, China in the past five years, and at the same time constructed a machine learning model to intelligently predict the adaptation result of the basic assisting devices for low vision patients.
According to the WHO's definition of visual impairment, as of 2018, there were approximately 1.3 billion people with visual impairment in the world, and only 10% of countries can provide assisting services for the rehabilitation of visual impairment. Although China is one of the countries that can provide rehabilitation services for patients with visual impairment, due to restrictions on the number of professionals in various regions, uneven diagnosis and treatment, and regional differences in economic conditions, not all visually impaired patients can get the rehabilitation of assisting device fitting. Traditional statistical methods were not enough to solve the problem of intelligent fitting of assisting devices. At present, there are almost no intelligent fitting models of assisting devices in the world. Therefore, in order to allow more low-vision patients to receive accurate and rapid rehabilitation services, we conducted a cross-sectional study on the assisting devices fitting for low-vision patients in Fujian Province, China in the past five years, and at the same time constructed a machine learning model to intelligently predict the adaptation result of the basic assisting devices for low vision patients.
The purpose of this study is an evaluation of a tactile labeling strategy developed in the Ophthalmology Clinical Research Center at University of Texas Medical Branch (UTMB) in collaboration with the UTMB Maker Space to improve low vision patients capability to identify their topical ophthalmic drop treatments and the frequency with which they should be administered. The labeling strategy includes protrusions as frequency markers and shapes to differentiate between treatments of similar frequency prescription.
Age-related vision impairment and dementia both become more prevalent with increasing age. Research into the mechanisms of these conditions has proposed that some of their causes (e.g., macular degeneration/glaucoma and Alzheimer's disease) could be symptoms of an underlying common cause, or may be equally linked to a multifactorial context in frailty and aging. Research into sensory-cognitive aging has provided preliminary data that sensory decline may be linked to the progression of dementia through the concept of sensory deprivation. Preliminary data in hearing loss rehabilitation support the idea that improved hearing may have a beneficial effect on cognitive functioning; however, there are to date no data available to examine whether low vision rehabilitation, specifically for reading, could have an equally protective or beneficial effect on cognitive health. The present proposal aims to fill this gap.
To evaluate health related quality of life (HRQoL) of low-vision patients and their care givers undergoing low-vision rehabilitation program (LVRP).