Centre Hospitalier Universitaire de Québec, Pavillon St-François d'Assise, 10 Rue de l'Espinay, Québec, Canada.
J Telemed Telecare. 2011;17(6):303-7. doi: 10.1258/jtt.2011.101101. Epub 2011 Aug 15.
We examined the main factors affecting the intention of physicians to use teledermatology using a modified Technology Acceptance Model (TAM). The investigation was carried out during a teledermatology pilot study conducted in Spain. A total of 276 questionnaires were sent to physicians by email and 171 responded (62%). Cronbach's alpha was acceptably high for all constructs. Theoretical variables were well correlated with each other and with the dependent variable (Intention to Use). Logistic regression indicated that the original TAM model was good at predicting physicians' intention to use teledermatology and that the variables Perceived Usefulness and Perceived Ease of Use were both significant (odds ratios of 8.4 and 7.4, respectively). When other theoretical variables were added, the model was still significant and it also became more powerful. However, the only significant predictor in the modified model was Facilitators with an odds ratio of 9.9. Thus the TAM was good at predicting physicians' intention to use teledermatology. However, the most important variable was the perception of Facilitators to using the technology (e.g. infrastructure, training and support).
我们使用修正后的技术接受模型(TAM)来研究影响医生使用远程皮肤病学的主要因素。该调查是在西班牙进行的远程皮肤病学试点研究期间进行的。共向医生发送了 276 份电子邮件问卷,有 171 名医生做出了回应(62%)。所有结构的克朗巴赫α系数均为可接受的高值。理论变量彼此之间以及与因变量(使用意向)都具有良好的相关性。逻辑回归表明,原始 TAM 模型能够很好地预测医生使用远程皮肤病学的意愿,感知有用性和感知易用性两个变量都具有显著意义(优势比分别为 8.4 和 7.4)。当加入其他理论变量时,模型仍然具有显著意义,并且更具说服力。然而,在修正模型中唯一具有显著意义的预测因子是促进因素,其优势比为 9.9。因此,TAM 能够很好地预测医生使用远程皮肤病学的意愿。然而,最重要的变量是对使用该技术的促进因素的感知(例如基础设施、培训和支持)。