Using a Modified Technology Acceptance Model to Evaluate Healthcare Professionals' Adoption of a New Telemonitoring System
Using a Modified Technology Acceptance Model to Evaluate Healthcare Professionals' Adoption of a New Telemonitoring System
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DOI：
10.1089/tmj.2011.0066
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发表时间：
2012-01-01
影响因子：
4.7
通讯作者：
Emparanza, Jose
中科院分区：
文献类型：
--
作者：
Gagnon, Marie Pierre;Orruno, Estibalitz;Emparanza, Jose
目的：研究可能影响医疗保健专业人员使用远程监护系统的决定的因素。材料与方法：根据技术接受模型（TAM）编制了一份调查问卷。一个技术评估专家小组评估了该工具的表面和内容有效性。研究对象为某三级医院心内科、肺科及内科的护士及医生，共发放问卷234份。计算Cronbach α，以衡量问卷项目的内部一致性。结构效度采用项目相关分析。采用Logistic回归分析对理论模型进行检验。计算校正比值比（OR）及其95%置信区间（CI）。结果：有效率为39.7%。除了一个理论结构（习惯），对应于成为自动化的行为，克朗巴赫α值是可以接受的高，其余的结构。理论变量彼此之间以及与因变量之间具有良好的相关性。原始TAM能较好地预测远程监护的使用意愿，其中感知满意度是唯一有意义的预测因素（OR：5.28，95%CI：2.12-13.11）。当加入其他理论变量时，该模型仍然是显著的，并且更强大。然而，在改良模型中，唯一显著的预测因素是促进因素（OR：4.96，95%CI：1.59-15.55）。结论：TAM是一个很好的预测模型，医疗保健专业人员的使用远程监护的意图。然而，对于提高医生和护士使用新技术的意愿来说，促进者的看法是需要考虑的最重要变量。
Objective: To examine the factors that could influence the decision of healthcare professionals to use a telemonitoring system. Materials and Methods: A questionnaire, based on the Technology Acceptance Model (TAM), was developed. A panel of experts in technology assessment evaluated the face and content validity of the instrument. Two hundred and thirty-four questionnaires were distributed among nurses and doctors of the cardiology, pulmonology, and internal medicine departments of a tertiary hospital. Cronbach alpha was calculated to measure the internal consistency of the questionnaire items. Construct validity was evaluated using interitem correlation analysis. Logistic regression analysis was performed to test the theoretical model. Adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) were computed. Results: A response rate of 39.7% was achieved. With the exception of one theoretical construct (Habit) that corresponds to behaviors that become automatized, Cronbach alpha values were acceptably high for the remaining constructs. Theoretical variables were well correlated with each other and with the dependent variable. The original TAM was good at predicting telemonitoring usage intention, Perceived Usefulness being the only significant predictor (OR: 5.28, 95% CI: 2.12-13.11). The model was still significant and more powerful when the other theoretical variables were added. However, the only significant predictor in the modified model was Facilitators (OR: 4.96, 95% CI: 1.59-15.55). Conclusion: The TAM is a good predictive model of healthcare professionals' intention to use telemonitoring. However, the perception of facilitators is the most important variable to consider for increasing doctors' and nurses' intention to use the new technology.