The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors

Int J Environ Res Public Health. 2022 Aug 29;19(17):10758. doi: 10.3390/ijerph191710758.

Abstract

Mobile medical platforms (MMPs) can make medical services more accessible and effective. However, the patient-centered factors that influence patients' acceptance of MMPs are not well understood. Our study examined the factors affecting patients' acceptance of MMPs by integrating the theory of planned behavior (TPB), the technology acceptance model (TAM), and three patient-centered factors (i.e., perceived convenience, perceived credibility, and perceived privacy risk). Three hundred and eighty-nine Chinese respondents were recruited in this study and completed a self-administered online questionnaire that included items adapted from validated measurement scales. The partial least squares structural equation modeling results revealed that perceived privacy risk, perceived credibility, and perceived ease of use directly determined the perceived usefulness of an MMP. Perceived convenience, perceived credibility, and perceived usefulness significantly affected the patients' attitudes toward MMPs. Perceived usefulness, attitude, perceived privacy risk, and perceived behavioral control were important determinants of the patients' behavioral intentions to use MMPs. Behavioral intention and perceived behavioral control significantly influenced perceived effective use. Perceived credibility and perceived ease of use significantly affected perceived convenience. However, social influence had no significant effect on attitude and behavioral intention. The study provides important theoretical and practical implications, which could help practitioners enhance the patients' use of MMPs for their healthcare activities.

Keywords: TAM; TPB; mobile medical platform; patient-centered factors; technology acceptance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attitude
  • Humans
  • Intention*
  • Patient-Centered Care
  • Privacy
  • Surveys and Questionnaires
  • Technology*

Grants and funding

This research was funded by the National Natural Science of Foundation of China (grant no. 72101225 and 72101161), the Humanity and Social Science Youth Foundation of Ministry of Education of China (grant no. 20YJCZH146), the Foundation of Shenzhen Science and Technology Committee (grant no. 20200813225029002), the School of Design Collaborative Research Foundation (grant no. P0035058) and the Start-up Foundation for RAPs of the Polytechnic University of Hong Kong (grant no. P0034701 and P0036146).