Intentions to Continue Using a Digital Mammography Vehicle Based on the Technology Acceptance Model and Expectation Confirmation Theory

This study employs the technology acceptance model and expectation confirmation theory to investigate women's intentions to- continue using,.a digital mammography, vehicle (DMV) for breast health check-ups. It analyzes the statistical effects of the respondents' confirmation, perceived usefulness, perceived ease of use, and satisfaction on their intentions to continue use. Purposive sampling was employed to collect questionnaire survey data on women who had used a DMV primarily for a breast health check-up. Of 535 distributed questionnaires, 517 valid cases were analyzed for a response rate of 96.64%. Confirmation, perceived usefulness, perceived ease of use, and satisfaction all positively correlated with intent to continue using the DMV. The results of a multiple regression analysis reveal that the combined effects of confirmation, perceived usefulness, and satisfaction explained about 86% of the variation in the respondents' intent to continue using the DMV. These results serve as a vital reference for improving the quality of breast cancer prevention services and strategies in Taiwan and form a basis for related research, development, and programs.