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BMC cancer
Apr 23, 2024;24 (1): 514.

Differences in influencing mechanism of clinicians' adoption behavior for liver cancer screening technology between the leading and subordinate hospitals within medical consortiums.

Shiyin Wu, Yuhang Zheng, Lingjie Wang, Wenbin Liu
Author Information
  1. Shiyin Wu: Department of Social Medicine and Health Management, School of Health Management, Fujian Medical University, 1 Xuefubei Road, Minhou District, 350122, Fuzhou, China.
  2. Yuhang Zheng: Department of Social Medicine and Health Management, School of Health Management, Fujian Medical University, 1 Xuefubei Road, Minhou District, 350122, Fuzhou, China.
  3. Lingjie Wang: Department of Social Medicine and Health Management, School of Health Management, Fujian Medical University, 1 Xuefubei Road, Minhou District, 350122, Fuzhou, China.
  4. Wenbin Liu: Department of Social Medicine and Health Management, School of Health Management, Fujian Medical University, 1 Xuefubei Road, Minhou District, 350122, Fuzhou, China. wenbinliu126@126.com.
PMID: 38654313 DOI: 10.1186/s12885-024-12281-y

Abstract

BACKGROUND: Medical consortiums have been extensively established to facilitate the integration of health resources and bridge the technical gap among member institutions. However, some commonly appropriate technologies remain stagnant in subordinate hospitals, although they have been routinely applied in leading hospitals. Besides, the mechanism underlying differences in clinicians' adoption behavior at different levels of institutions was unknown. Therefore, this study aimed to investigate the differences in influencing mechanisms of clinicians' hepatic contrast-enhanced ultrasound technology (CEUS) utilization behavior between leading and subordinate hospitals within medical consortiums, thus providing clues for expanding effective and appropriate technologies within integrated care systems.
METHODS: A self-designed scale was developed based on the theory of planned behavior (TPB). A multistage sampling method was applied to investigate clinicians who were aware of CEUS and worked in liver disease-related departments within the sampled medical institutions. The final sample size was 289. AMOS 24.0 software was used to construct multi-group structural equation modeling (SEM) to validate the hypotheses and determine the mechanism of hepatic CEUS utilization.
RESULTS: It revealed that behavioral intention significantly influenced adoption behavior, regardless of whether it was in leading hospitals or subordinate hospitals (β = 0.283, p < 0.001). Furthermore, behavioral attitude (β = 0.361, p < 0.001) and perceived behavioral control (β = 0.582, p < 0.001) exerted significant effects on adoption behavior through behavioral intention. However, in leading hospitals, subjective norm had a significant positive effect on behavioral intention (β = 0.183, p < 0.01), while it had a significant negative impact on behavioral intention in the subordinate hospitals (β = -0.348, p < 0.01).
CONCLUSION: To effectively translate the adoption intention into actual behavior, it is recommended to elucidate the demand and facilitators involved in the process of health technology adoption across leading and subordinate hospitals. Additionally, bolstering technical support and knowledge dissemination within subordinate hospitals while harnessing the influential role of key individuals can further enhance this transformative process.

Keywords

Clinicians Liver cancer screening Medical consortium Technology adoption Theory of planned behavior

References

  1. J Clin Nurs. 2014 Feb;23(3-4):461-70 [PMID: 23581520]
  2. BMC Health Serv Res. 2023 Nov 29;23(1):1318 [PMID: 38031073]
  3. J Tradit Chin Med. 2022 Aug;42(4):633-6400 [PMID: 35848981]
  4. Insights Imaging. 2014 Apr;5(2):209-16 [PMID: 24563244]
  5. Front Psychol. 2022 Sep 27;13:926736 [PMID: 36237697]
  6. Clin Hemorheol Microcirc. 2008;40(1):51-71 [PMID: 18791267]
  7. Gerontologist. 2001 Apr;41(2):161-72 [PMID: 11327481]
  8. J Telemed Telecare. 2023 Sep 6;:1357633X231193787 [PMID: 37670678]
  9. J Pain Symptom Manage. 2019 Sep;58(3):400-407 [PMID: 31145978]
  10. Int J Environ Res Public Health. 2021 Mar 19;18(6): [PMID: 33808644]
  11. Front Psychol. 2021 Jan 15;11:612889 [PMID: 33519633]
  12. Int J Integr Care. 2018 Apr 19;18(2):7 [PMID: 30127691]
  13. J Thorac Dis. 2020 May;12(5):2536-2544 [PMID: 32642161]
  14. Front Public Health. 2022 May 18;10:879410 [PMID: 35664106]
  15. J Am Pharm Assoc (2003). 2021 Jul-Aug;61(4S):S91-S104 [PMID: 33558186]
  16. J Ment Health. 2023 Aug 21;:1-7 [PMID: 37605461]
  17. Risk Manag Healthc Policy. 2022 Feb 09;15:179-191 [PMID: 35173496]
  18. J Med Internet Res. 2024 Jan 24;26:e47197 [PMID: 38265862]
  19. Transl Behav Med. 2020 Aug 7;10(3):713-722 [PMID: 30826842]
  20. Int J Health Policy Manag. 2017 Aug 13;7(4):317-327 [PMID: 29626399]
  21. J Sports Sci. 2023 Sep;41(14):1363-1371 [PMID: 37884873]
  22. Front Public Health. 2022 May 24;10:893673 [PMID: 35685761]
  23. Antimicrob Resist Infect Control. 2019 Jan 30;8:23 [PMID: 30733857]
  24. JMIR Serious Games. 2023 Mar 6;11:e41528 [PMID: 36877574]
  25. BMJ Open. 2019 May 9;9(5):e026203 [PMID: 31072854]
  26. BMC Public Health. 2013 Feb 15;13:140 [PMID: 23414398]
  27. BMC Fam Pract. 2021 Mar 11;22(1):52 [PMID: 33706721]
  28. Int J Environ Res Public Health. 2020 Mar 20;17(6): [PMID: 32245060]
  29. Front Public Health. 2021 May 07;9:662835 [PMID: 34026716]
  30. Antimicrob Resist Infect Control. 2021 Jun 30;10(1):97 [PMID: 34193298]
  31. Magn Reson Imaging Clin N Am. 2021 Aug;29(3):291-304 [PMID: 34243918]
  32. Mater Sociomed. 2013;25(1):52-5 [PMID: 23687461]
  33. J Appl Psychol. 2003 Oct;88(5):879-903 [PMID: 14516251]
  34. Soc Sci Med. 2014 Sep;117:125-33 [PMID: 25063968]
  35. BMC Health Serv Res. 2022 Dec 5;22(1):1479 [PMID: 36471391]
  36. Ultrasound Med Biol. 2020 Oct;46(10):2579-2604 [PMID: 32713788]
  37. Milbank Q. 2004;82(4):581-629 [PMID: 15595944]
  38. Int J Environ Res Public Health. 2018 Jan 26;15(2): [PMID: 29373565]
  39. J Pediatr Surg. 2018 Aug;53(8):1478-1493 [PMID: 28927983]

Grants

  1. 72274035/National Natural Science Foundation of China
  2. 2018B030/Distinguished Young Scientific Research Talents Plan in Universities of Fujian Province

MeSH Term

Humans
Liver Neoplasms
Male
Female
Early Detection of Cancer
Attitude of Health Personnel
Ultrasonography
Hospitals
Adult
Surveys and Questionnaires
Contrast Media
Practice Patterns, Physicians'

Chemicals

Contrast Media
Journal Article

Word Cloud

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