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接受虚拟牙科种植体规划软件在本科课程中的应用:一项试点研究。

Acceptance of virtual dental implant planning software in an undergraduate curriculum: a pilot study.

机构信息

Department of Oral and Maxillofacial Surgery, Erlangen University Hospital, Erlangen, Germany.

出版信息

BMC Med Educ. 2012 Sep 29;12:90. doi: 10.1186/1472-6920-12-90.


DOI:10.1186/1472-6920-12-90
PMID:23020863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3511246/
Abstract

BACKGROUND: Advances in healthcare such as virtual dental implant planning have the capacity to result in greater accuracy, speed, and efficiencies leading to improvement in patient care. It has been suggested that the acceptance of new technology is influenced by a variety of factors including individual differences, social and situational influences, user beliefs, and user attitudes. Despite the large volume of work in this area, only limited research has been conducted in the field of dental education. Therefore, the present study aimed at assessing the acceptance of virtual dental implant planning software by undergraduate students. METHODS: Forty-three third-year dental students of the University of Erlangen-Nuremberg, Germany, were included in the study. They filled in a questionnaire based on a combination of the technology acceptance model and the theory of planned behavior (C-TAM-TPB). Cronbach's α, Pearson product moment correlation coefficients, and squared multiple correlations (R2) were calculated. RESULTS: Cronbach's α exceeded .7 for all constructs. Pearson correlations were significant for the pairs perceived usefulness/behavioral intention, perceived usefulness/attitude, and attitude/behavioral intention. Perceived ease of use explained .09% of the variance of perceived usefulness (R2 = .09). Perceived ease of use and perceived usefulness accounted for 31% of the variance of attitude (R2 = .31). Perceived usefulness, attitude, subjective norm, and perceived behavioral control explain 37% of the variance of behavioral intention (R2 = .37). CONCLUSIONS: Virtual dental implant planning software seems to be accepted by dental students especially because of its usefulness and the students' attitude towards this technology. On the other hand, perceived ease of use does not play a major role. As a consequence, the implementation of virtual dental implant planning software in a dental undergraduate curriculum should be supported by highlighting the usefulness by the supervisors, who should also strengthen the attitude of the students towards this technology.

摘要

背景:虚拟牙科植入物规划等医疗保健方面的进步有可能提高准确性、速度和效率,从而改善患者护理。有人认为,新技术的接受受到多种因素的影响,包括个体差异、社会和情境影响、用户信念和用户态度。尽管在这一领域进行了大量工作,但在牙科教育领域的研究有限。因此,本研究旨在评估本科生对虚拟牙科植入物规划软件的接受程度。

方法:德国纽伦堡大学的 43 名三年级牙科学生参与了这项研究。他们填写了一份基于技术接受模型和计划行为理论(C-TAM-TPB)的组合的问卷。计算了 Cronbach's α、Pearson 积矩相关系数和平方多重相关(R2)。

结果:所有结构的 Cronbach's α 均超过.7。感知有用性/行为意向、感知有用性/态度和态度/行为意向对的 Pearson 相关性具有统计学意义。感知易用性解释了感知有用性变异的.09%(R2 =.09)。感知易用性和感知有用性解释了态度变异的 31%(R2 =.31)。感知有用性、态度、主观规范和感知行为控制解释了行为意向变异的 37%(R2 =.37)。

结论:虚拟牙科植入物规划软件似乎被牙科学生接受,尤其是因为其有用性和学生对这项技术的态度。另一方面,感知易用性并没有起到主要作用。因此,在牙科本科课程中实施虚拟牙科植入物规划软件应该得到支持,强调其有用性,主管人员还应该加强学生对这项技术的态度。

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[2]
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[3]
Does dynamic navigation assisted student training improve the accuracy of dental implant placement by postgraduate dental students: an in vitro study.

BMC Oral Health. 2024-5-23

[4]
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Int J Implant Dent. 2024-3-12

[5]
Impact of fully guided implant planning software training on the knowledge acquisition and satisfaction of dental undergraduate students.

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[6]
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[7]
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[8]
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Med Educ Online. 2021-12

[9]
Applicability of the theory of planned behavior in explaining the general practitioners eLearning use in continuing medical education.

BMC Med Educ. 2016-8-22

[10]
Computerized implant-dentistry: Advances toward automation.

J Indian Soc Periodontol. 2015

本文引用的文献

[1]
Spaced education activates students in a theoretical radiological science course: a pilot study.

BMC Med Educ. 2012-5-23

[2]
Acceptance of technology-enhanced learning for a theoretical radiological science course: a randomized controlled trial.

BMC Med Educ. 2012-3-30

[3]
Online learning in dentistry: an overview of the future direction for dental education.

J Oral Rehabil. 2010-8-19

[4]
The technology acceptance model: its past and its future in health care.

J Biomed Inform. 2009-7-15

[5]
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Eur J Dent Educ. 2009-2

[6]
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Eur J Dent Educ. 2009-2

[7]
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Eur J Dent Educ. 2009-2

[8]
Health IT acceptance factors in long-term care facilities: a cross-sectional survey.

Int J Med Inform. 2009-4

[9]
Using a modified technology acceptance model in hospitals.

Int J Med Inform. 2009-2

[10]
Health care technology adoption and diffusion in a social context.

Policy Polit Nurs Pract. 2007-2

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