This article examines the usability issues encountered by elderly people in mobile health (mHealth) applications and presents a detailed evaluation approach designed to address their special requirements. The research classifies these obstacles into five domains: cognitive, perceptual, psychomotor, motivational, and psychosocial. Ten fundamental usability factors, consistent with worldwide standards, were identified to tackle these difficulties. Utilizing the Goal Question Metric methodology, 42 preliminary metrics were established to assess various elements. Expert evaluations were performed utilizing the Fuzzy Delphi Method to enhance and validate these measures. As a result of this approach, 40 metrics were preserved, highlighting user-friendliness, less cognitive burden, and clear instructional assistance. The results underscore the necessity of developing mHealth applications that reduce physical and cognitive exertion while enhancing information clarity and motivational content. This study employed the Fuzzy Delphi Method to achieve expert consensus, hence minimizing iterative rounds and deepening agreement, resulting in a robust, goal-oriented measure to assist developers in designing inclusive mHealth interfaces for the elderly population.