Study on the Influencing Factors of Digital Health Ability of the Elderly Based on Stepwise Regression

Abstract

This study focuses on the ability improvement of the elderly in the field of digital health in post-epidemic era noting the digital transformation's significant impact on elderly medical service access. Despite government and corporate efforts to promote digital adoption and "Internet + medical health," elderly individuals still struggle with technology proficiency, health constraints, and privacy issues. A questionnaire survey was conducted to assess the digital health capabilities of the elderly in a specific region, revealing a mixed proficiency level with some individuals lagging. Using projection pursuit and stepwise regression analysis, the study identified key factors influencing digital health proficiency, including psychosocial elements, support systems, and privacy concerns. Findings indicate that interpersonal and community support positively affect digital health ability, while technology anxiety negatively impacts it significantly. The model's high fit suggests reliable results, emphasizing the importance of social and community support in enhancing elderly digital health proficiency and the need to address technology anxiety. The study aims to facilitate smoother elderly integration into digital society and enjoyment of digital conveniences.