Feasibility of dynamic modelling of outcomes for low vision devices

Assistive technology devices are among the most prevalent forms of interventions in low vision rehabilitation. The objective of this research is to discover an improved method for predicting the use and discontinuance of these devices by individuals who have low vision. Traditional approaches to health economic analysis make assumptions about the valuation of health and functional states that may not be wholly appropriate for low vision rehabilitation. Moreover, these approaches are not well-suited to researching models for predicting the dynamic processes associated with assistive device use and abandonment. Recent advances in computing capabilities have made dynamic programming approaches to solving complex dynamic models feasible and accessible. It is expected that our research will help better identify what works well for individuals who use low vision devices and suggest ways to achieve the results less expensively.