A Bayesian Cost-effectiveness analysis of Holobalance, Holograms for personalized virtual coaching and motivation in an ageing population with balance disorders

Introduction: The world population is aging and it is only expected to grow in the next 30 years reaching 16% of the total world population (1). Globally, fall among older adults is a major public health problem.The burden of mortality and morbidity as a result of fall incidents is high in the elderly. There is a multitude of fall prevention programs designed based on the different risk factors associated with fall risk. Among these exercise programs have been shown to reduce the incidence of falls by 13% (6) to 40% (7).The Otago Exercise Program is an eight-week exercise that involves 17 different exercises that vary based on intensity with different repetitions and weight. It has been used as the cornerstone of most fall prevention exercise programs and has been shown to reduce fall risk in the elderly population by 35% (2,3). More recently, the use of virtual technologies has been an emerging phenomenon in the practice of elderly rehabilitation and exercise program. The Holobalance program, a novel methodology developed under the EU Horizon 2020 innovation project (8), was initiated to develop and validate a new personalized hologram coach platform for virtual coaching, motivation, and empowerment of the aging population with balance disorders. Methods: Bayesian cost-effectiveness analysis of two alternatives namely Otago Exercise Program and Holobalance technology is performed by considering the relevant probabilities of the outcomes, the associated cost, and utility loss for each relevant outcome for three countries i.e. Italy, Germany, and Greece. Relevant data was obtained using literature review of the enumerated parameters and the associated cost as well as utility. Additional data regarding Holobalance technology was obtained from the first data of an ongoing clinical pilot. Results: The ICER associated with the highest WTP under consideration, 30000€, is - 103879 for Italy, -86560 for Greece, and -107666 for Germany. The average expected utility loss for the WTP of 30,000 Euros in the case of the ...