Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Mar 2, 2022
Date Accepted: Jan 15, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Factors influencing healthcare professionals’ adoption intention of Internet healthcare technology in China: a nationally cross-sectional study
ABSTRACT
Background:
Due to the global COVID-19 pandemic, Internet hospitals in China are being rapidly developed. While Internet Healthcare Technology(IHT) significantly alters many healthcare services, healthcare professionals play a significance role for the use of internet. At a meantime, employee burnout is a prevalent issue in healthcare. Few studies have explored factors affecting the adoption intention of IHT from the perspective of healthcare professionals while considering the impact of employee burnout.
Objective:
This study aims to explain the micro-mechanism that determines the adoption intention of IHT from the perspective of healthcare professionals based on the unified theory of the Value-based Adoption Model (VAM) and employee burnout.
Methods:
We conduct a cross-sectional online survey using a sample of 12,031 healthcare professionals selected through multistage cluster sampling from three provinces in mainland China. The hypotheses of our research model are developed based on the VAM and employee burnout. Structural equation modeling is then used to test the research hypotheses.
Results:
The results indicate that perceived usefulness, perceived enjoyment, and perceived complexity positively correlate with perceived value (β = 0.131, P ＜ 0.01; β = 0.638, P ＜ 0.001; β = 0.198, P ＜ 0.001, respectively). Perceived value has a positive direct effect on adoption intention (β = 0.725, P ＜ 0.001), perceived risk negatively correlates with perceived value (β = −0.083, P ＜ 0.001), and perceived value negatively correlates with employee burnout (β = −0.308, P ＜ 0.001). Additionally, employee burnout is negatively related to adoption intention (β = −0.170, P ＜ 0.001), and mediates the relationship between perceived value and adoption intention (β = 0.052, P ＜ 0.001).
Conclusions:
Perceived value, perceived enjoyment, and employee burnout are the most important determinants of IHT adoption intention by healthcare professionals. In addition, while employee burnout is negative related to adoption intention, perceived value inhibits employee burnout. Therefore, it is necessary to develop strategies to improve the perceived value and reduce employee burnout, which will benefit the promotion of adoption intention of IHT in healthcare professionals. Our study supports the use of the VAM and employee burnout in explaining healthcare professionals’ adoption intention regarding IHT.
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