Background: Amid global ageing, managing chronic diseases in older adults has become a significant public health concern. Using blood pressure monitors as an example, this study systematically examines the key factors influencing blood pressure monitoring among elderly users and their interactions, offering theoretical support for the design of health products for older people.
Methods: First, an interview outline was developed to invite elderly individuals for interviews; grounded theory was used to organise the interview data; then, a Structural Equation Modeling ( SEM ) theoretical framework was established by integrating relevant literature. Subsequently, a questionnaire was distributed, and descriptive statistics, data distribution analysis, and exploratory factor analysis were conducted on the questionnaire data. Finally, the data were imported into the SEM model, and SEM was used to quantify the influence weights between dimensions. Artificial Neural Network ( ANN ) was further employed to predict the nonlinear relationships between dimensions.
Results: All SEM model assumptions were confirmed. Both SEM and ANN analyses showed that the factors most influencing elderly individuals' satisfaction with blood pressure monitors were Physiological factor (0.237, 1.00) and Adult children factors (0.188, 0.85), followed by Product configuration (0.149, 0.92), Interaction factors (0.149, 0.81), Psychological factor (0.149, 0.74), Personal factors (0.131, 0.85), and Social support (0.106, 0.62).
Conclusion: When designing blood pressure monitors, prioritise enhancing physiological adaptability features for elderly users, including key design elements such as enlarged interface fonts, bigger operation buttons, voice interaction functionality, and error-tolerant mechanisms, to significantly improve user satisfaction. This design approach can be applied to the development of other age-friendly medical products.
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