Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 May 31;21(1):173.
doi: 10.1186/s12911-021-01540-8.

What factors predict physicians' utilization behavior of contrast-enhanced ultrasound? Evidence from the integration of the Theory of Planned Behavior and Technology Acceptance Model using a structural equation modeling approach

Affiliations

What factors predict physicians' utilization behavior of contrast-enhanced ultrasound? Evidence from the integration of the Theory of Planned Behavior and Technology Acceptance Model using a structural equation modeling approach

Qingwen Deng et al. BMC Med Inform Decis Mak. .

Abstract

Background: The promotion of early diagnosis is undoubtedly effective in reducing the burden of disease. Contrast-enhanced ultrasound (CEUS) is a diagnostic technology for liver cancer, but its implementation faces some challenges. Understanding the influencing factors of CEUS utilization is crucial for its successful implementation. However, such research is rare. The aims of this study were to investigate the status of CEUS utilization and its predictors in China.

Methods: Through multistage random sampling, a cross-sectional study design was conducted among physicians in charge of direct use of CEUS working at liver disease-related departments of sampled health institutions. To access the potential influencing factors of physicians' CEUS utilization, a structured questionnaire was developed based on the theoretical model, which was developed by integration of the Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM). Structural equation modeling was used to verify the proposed hypotheses, and analyze the relationship and mechanism between the factors.

Results: A total of 309 physicians were enrolled. The mean score of utilization behavior was 2.04 (SD = 1.07), and 37.22% above the mean. The favorable fitting results demonstrated that the integration of TAM and TPB was an acceptable model. SEM results also identified physicians' intentions to use CEUS was directly associated with utilization behavior (β = 0.287, P < 0.001). Attitude (β = 0.272, P < 0.001), subjective norm (β = 0.172, P = 0.013), perceived behavioral control (β = 0.491, P < 0.001) and perceived usefulness (β = 0.108, P = 0.027) significantly influenced physicians' intentions. Besides, subjective norm (β = 0.065, P = 0.021), perceived behavioral control (β = 0.141, P = 0.003), and perceived ease of use (β = 0.022, P = 0.033) indirectly affected physicians' CEUS utilization.

Conclusions: The findings provide a reference for understanding the factors associated with physicians' utilization of CEUS. Additionally, the proposed measures such as building innovative and incentive environment, providing high quality and adequate training, etc., will help promote the utilization of CEUS, thereby increasing the detection rate of liver cancer, and improving the survival rate and the quality of life for liver cancer patients.

Keywords: Contrast-enhanced ultrasound; Technology acceptance model; Technology adoption; Theory of planned behavior; Utilization.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The theoretical model
Fig. 2
Fig. 2
Model of utilization behavior of CEUS among 309 physicians (*P < 0.05; *** P < 0.001). Notes: the figures placed in the lines with an arrowhead between the variables represent standardized regression coefficients, i.e. factor loading

Similar articles

Cited by

References

    1. Chen W, Sun K, Zheng R, et al. Cancer incidence and mortality in China, 2014. Chin J Cancer Res. 2018;30:1–12. doi: 10.21147/j.issn.1000-9604.2018.01.01. - DOI - PMC - PubMed
    1. Qiu WQ, Shi JF, Guo LW, et al. Medical expenditure for liver cancer in urban China: a 10-year multicenter retrospective survey (2002–2011) J Cancer Res Ther. 2018;14:163–170. doi: 10.4103/jcrt.JCRT_709_16. - DOI - PubMed
    1. Ma J, Yang F. Survey of chronic hepatitis B of community and early liver cancer screening for these specific population in follow-up. Biomed Res. 2017;28:10043–10047.
    1. Zou XN. Epidemic trend, screening, and early detection and treatment of cancer in Chinese population. Cancer Biol Med. 2017;14:50–59. doi: 10.20892/j.issn.2095-3941.2016.0047. - DOI - PMC - PubMed
    1. Daniele B, Bencivenga A, Megna AS, et al. α-fetoprotein and ultrasonography screening for hepatocellular carcinoma. Gastroenterology. 2004;127:S108–S112. doi: 10.1053/j.gastro.2004.09.023. - DOI - PubMed

Publication types

LinkOut - more resources