Or Calvin K L, Karsh Ben-Tzion
Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong (CKLO), Kowloon, Hong Kong, Department of Industrial and Systemns Engineering, University of Wisconsin-Madison (B-TK), Madison, WI, USA
J Am Med Inform Assoc. 2009 Jul-Aug;16(4):550-60. doi: 10.1197/jamia.M2888. Epub 2009 Apr 23.
A systematic literature review was performed to identify variables promoting consumer health information technology (CHIT) acceptance among patients. The electronic bibliographic databases Web of Science, Business Source Elite, CINAHL, Communication and Mass Media Complete, MEDLINE, PsycArticles, and PsycInfo were searched. A cited reference search of articles meeting the inclusion criteria was also conducted to reduce misses. Fifty-two articles met the selection criteria. Among them, 94 different variables were tested for associations with acceptance. Most of those tested (71%) were patient factors, including sociodemographic characteristics, health- and treatment-related variables, and prior experience or exposure to computer/health technology. Only ten variables were related to human-technology interaction; 16 were organizational factors; and one was related to the environment. In total, 62 (66%) were found to predict acceptance in at least one study. Existing literature focused largely on patient-related factors. No studies examined the impact of social and task factors on acceptance, and few tested the effects of organizational or environmental factors on acceptance. Future research guided by technology acceptance theories should fill those gaps to improve our understanding of patient CHIT acceptance, which in turn could lead to better CHIT design and implementation.
我们进行了一项系统的文献综述,以确定促进患者接受消费者健康信息技术(CHIT)的变量。我们检索了电子文献数据库,包括科学网、商业资源精英库、护理学与健康照护领域数据库、传播与大众传媒全文数据库、医学索引数据库、心理学文摘数据库和心理学信息数据库。我们还对符合纳入标准的文章进行了参考文献检索,以减少遗漏。五十二篇文章符合选择标准。其中,对94个不同变量进行了与接受度相关性的测试。大多数测试变量(71%)是患者因素,包括社会人口学特征、与健康和治疗相关的变量,以及先前使用计算机/健康技术的经验或接触情况。只有十个变量与人机交互有关;16个是组织因素;一个与环境有关。总共发现62个(66%)变量在至少一项研究中可预测接受度。现有文献主要关注与患者相关的因素。没有研究考察社会和任务因素对接受度的影响,很少有研究测试组织或环境因素对接受度的影响。以技术接受理论为指导的未来研究应填补这些空白,以增进我们对患者接受CHIT情况的理解,进而有助于更好地设计和实施CHIT。