背景:临床指南对于协助卫生专业人员做出正确的临床决定至关重要。然而,手册的临床指南是不可用的,这增加了工作量。所以,需要基于移动的临床指南应用程序来提供实时信息访问。因此,本研究旨在评估卫生专业人员接受基于移动的临床指南应用的意愿,并验证统一的接受理论和技术利用模型.
方法:在803名研究参与者中使用基于机构的横断面研究设计。根据结构方程模型参数估计标准,采用分层随机抽样确定样本量。使用Amos版本23软件进行分析。潜在变量项的内部一致性,以及收敛和发散的有效性,使用复合可靠性进行评估,AVE,和交叉加载矩阵。基于一组标准评估数据的模型适合度,它实现了。P值<0.05被认为用于评估所制定的假设。
结果:努力预期和社会影响对卫生专业人员的态度有显著影响,路径系数为(β=0.61,P值<0.01),β=0.510,P值<0.01。预期业绩,便利条件,和态度对卫生专业人员接受基于移动的临床指南应用有显著影响,路径系数为(β=0.37,P值<0.001),(β=0.44,P值<0.001)和(β=0.57,P值<0.05)。努力预期和社会影响由态度介导,与卫生专业人员接受基于移动的临床指南应用有显著的部分关系,标准化估计系数为(β=0.22,P值=0.027),(β=0.19,P值=0.031)。所有潜在变量占卫生专业人员态度的57%,和态度的潜在变量占63%的个人接受基于移动的临床指南应用。
结论:接受和使用技术模型的统一理论是评估个人接受基于移动的临床指南应用的良好模型。所以,加强卫生专业人员的态度,需要通过培训来普及计算机知识。基于用户需求的移动应用程序开发对于技术采用至关重要,人们的支持对于卫生专业人员接受和使用该应用程序也很重要。
BACKGROUND: Clinical guidelines are crucial for assisting health professionals to make correct clinical decisions. However, manual clinical guidelines are not accessible, and this increases the workload. So, a mobile-based clinical guideline application is needed to provide real-time information access. Hence, this study aimed to assess health professionals\' intention to accept mobile-based clinical guideline applications and verify the unified theory of acceptance and technology utilization model.
METHODS: Institutional-based cross-sectional study design was used among 803 study participants. The sample size was determined based on structural equation model parameter estimation criteria with stratified random sampling. Amos version 23 software was used for analysis. Internal consistency of latent variable items, and convergent and divergent validity, were evaluated using composite reliability, AVE, and a cross-loading matrix. Model fitness of the data was assessed based on a set of criteria, and it was achieved. P-value < 0.05 was considered for assessing the formulated hypothesis.
RESULTS: Effort expectancy and social influence had a significant effect on health professionals\' attitudes, with path coefficients of (β = 0.61, P-value < 0.01), and (β = 0.510, P-value < 0.01) respectively. Performance expectancy, facilitating condition, and attitude had significant effects on health professionals\' acceptance of mobile-based clinical guideline applications with path coefficients of (β = 0.37, P-value < 0.001), (β = 0.44, P-value < 0.001) and (β = 0.57, P-value < 0.05) respectively. Effort expectancy and social influence were mediated by attitude and had a significant partial relationship with health professionals\' acceptance of mobile-based clinical guideline application with standardized estimation coefficients of (β = 0.22, P-value = 0.027), and (β = 0.19, P-value = 0.031) respectively. All the latent variables accounted for 57% of health professionals\' attitudes, and latent variables with attitudes accounted for 63% of individuals\' acceptance of mobile-based clinical guideline applications.
CONCLUSIONS: The unified theory of acceptance and use of the technology model was a good model for assessing individuals\' acceptance of mobile-based clinical guidelines applications. So, enhancing health professionals\' attitudes, and computer literacy through training are needed. Mobile application development based on user requirements is critical for technology adoption, and people\'s support is also important for health professionals to accept and use the application.