Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model
Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model
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DOI：
10.1016/j.ijmedinf.2008.12.005
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发表时间：
2009-06-01
影响因子：
4.9
通讯作者：
Speedie, Stuart M.
中科院分区：
文献类型：
--
作者：
Kijsanayotin, Boonchai;Pannarunothai, Supasit;Speedie, Stuart M.
背景资料：卫生信息技术成功实施的最重要因素之一是用户接受和使用该技术。泰国实施了国家全民医疗保健计划，并为支持全民医疗保健计划而对卫生信息技术系统进行了重组。但是，包括社区卫生中心（CHC）在内的许多医疗机构接受和使用卫生信息技术的情况没有全国性数据。本研究采用了修改后的统一理论的接受和使用的技术（UTAUT）的结构模型，以了解影响健康IT采用在泰国的社区卫生中心的因素，并验证这一现存的IT采用模型在发展中国家的health care context.Methods：一个观察性研究设计采用研究CHCs的IT采用和使用。从9806个社区卫生中心中随机抽取1607个区域分层社区卫生中心。数据收集采用横断面调查的方式进行自填式问卷，回答率为82%。研究结果显示，社区卫生服务机构工作人员对资讯科技的接受与使用程度较高。研究模型分析表明，IT接受的影响因素包括绩效期望、努力期望、社会影响和非自愿性。健康IT使用预测以前的IT经验，打算使用该系统，和facilitating conditions.Conclusions：健康IT是普遍的，以及通过CHCs在泰国。研究结果对泰国卫生信息技术发展工作和卫生信息学研究都有影响。本研究验证了UTAUT模型在一个发展中国家的医疗保健系统领域的背景下，并表明PLS路径建模工作良好的实地研究和探索性研究与复杂的模型。(C)2008爱思唯尔爱尔兰有限公司保留所有权利。
Background: One of the most important factors for the success of health information technology (IT) implementation is users' acceptance and use of that technology. Thailand has implemented the national universal healthcare program and has been restructuring the country's health IT system to support it. However, there is no national data available regarding the acceptance and use of health IT in many healthcare facilities, including community health centers (CHCs). This study employed a modified Unified Theory of Acceptance and Use of Technology (UTAUT) structural model, to understand factors that influence health IT adoption in community health centers in Thailand and to validate this extant IT adoption model in a developing country health care context.Methods: An observational research design was employed to study CHCs' IT adoption and use. A random sample of 1607 regionally stratified CHC's from a total of 9806 CHCs was selected. Data collection was conducted using a cross-sectional survey by means of self-administered questionnaire with an 82% response rate. The research model was applied using the partial least squares (PLS) path modeling.Results: The data showed that people who worked in CHCs exhibited a high degree of IT acceptance and use. The research model analyses suggest that IT acceptance is influenced by performance expectancy, effort expectancy, social influence and voluntariness. Health IT use is predicted by previous IT experiences, intention to use the system, and facilitating conditions.Conclusions: Health IT is pervasive and well adopted by CHCs in Thailand. The study results have implications for both health IT developmental efforts in Thailand and health informatics research. This study validated the UTAUT model in the field context of a developing country's healthcare system and demonstrated that the PLS path modeling works well in a field study and in exploratory research with a complex model. (C) 2008 Elsevier Ireland Ltd. All rights reserved.