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27 Research on m-health purchasing intention
  1. Dan Lyu1,
  2. Hao Chen2,
  3. Yong Yang3
  1. 1School of Economics, Wuhan Donghu University, Wuhan, China
  2. 2Xinmin Community Health Service Centre, The Fifth Hospital of Wuhan, Wuhan, China
  3. 3Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China


Objectives The internet and the pharmaceutical industry have been a focus of interest in recent years. This study constructs a model of mobile medical risk and patients’ willingness to use mobile medicine (Figure 1), conducts a feasibility analysis of the pharmaceutical industry carrying out remote medical services and puts forward suggestions for mobile medical pharmaceutical industry development.

Abstract 27 Figure 1

Mobile medical risk and patients’ willingness model

Methods A sample was selected and control variable data were gathered by questionnaire and a web-based survey. A Likert scale was used and the effective sample size was 321. Reliability and validity analysis showed average variance extracted (AVE) values were >0.5, and composite reliability (CR) values were >0.7. Lisrel 8.7 was used to test each hypothesis.

Results Sample data supported all assumptions. Trust and perceived benefits (PB) were positively correlated, while trust and perceived risk (PR) were negatively correlated. Patients’ standard of education had a direct effect on PB and PR. Patients’ attitudes towards mobile medical treatment affected PB and negatively influenced PR. PB has a positive effect on intention, while PR has a negative impact on intention.

Conclusions The target group for mobile medical services should have online shopping experience and knowledge of the type of patients, while product development for patients of different ages should to focus on patients’ needs and protection of their privacy.

Acknowledgments This research was financially supported by Liaoning Social Planning Fund, China (Grant No. L16BGL008), National Natural Science Foundation, China (Grant No. 51579024), and Dr scientific research fund of Liaoning Province (Grant No. 201601244).

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