Health Care Provider Adoption of eHealth: Systematic Literature Review.
Health Care Provider Adoption of eHealth: Systematic Literature Review.
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DOI：
10.2196/ijmr.2468
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发表时间：
2013-04-16
影响因子：
2
通讯作者：
Macintyre CR
中科院分区：
文献类型：
--
作者：
Li J;Talaei-Khoei A;Seale H;Ray P;Macintyre CR
电子健康是信息和通信技术在影响健康的所有功能中的应用。电子健康的好处（例如，医疗保健运营效率和病人护理质量的改善）以前已经在文献中记录。卫生保健提供者（例如，医生）是推动电子健康计划的关键驱动力。如果不接受和实际使用，这些电子保健的好处就不可能实现。识别并综合影响医疗服务提供者接受各种电子健康系统的因素。本系统性文献综述分四个步骤进行。头两个步骤有助于查找和识别相关物品。第三步从这些文章中提取关键信息，包括研究的特点和结果。在最后一步中，确定的因素进行了分析，并根据接受和使用技术（UTAUT）的统一理论进行分组。这项研究包括93篇论文，研究了医疗保健提供者对电子健康的接受程度。从这些论文中，确定了40个因素，并将其分为7组：（1）医疗保健提供者特征，（2）医疗实践特征，（3）使用的非自愿性，（4）性能预期，（5）努力预期，（6）社会影响，（7）促进或抑制条件。分组结果表明，UTAUT模型是有用的组织文献，但有其局限性。由于医疗保健环境的复杂背景动态，我们的工作表明，将有可能扩展信息技术采用的理论，这对有兴趣了解更多有关该主题的读者非常有益。实际上，这些发现可能有助于医疗保健决策者积极引入干预措施，以鼓励接受电子健康，也可能有助于卫生政策制定者完善相关政策，以促进电子健康创新。
eHealth is an application of information and communication technologies across the whole range of functions that affect health. The benefits of eHealth (eg, improvement of health care operational efficiency and quality of patient care) have previously been documented in the literature. Health care providers (eg, medical doctors) are the key driving force in pushing eHealth initiatives. Without their acceptance and actual use, those eHealth benefits would be unlikely to be reaped. To identify and synthesize influential factors to health care providers’ acceptance of various eHealth systems. This systematic literature review was conducted in four steps. The first two steps facilitated the location and identification of relevant articles. The third step extracted key information from those articles including the studies’ characteristics and results. In the last step, identified factors were analyzed and grouped in accordance with the Unified Theory of Acceptance and Use of Technology (UTAUT). This study included 93 papers that have studied health care providers’ acceptance of eHealth. From these papers, 40 factors were identified and grouped into 7 clusters: (1) health care provider characteristics, (2) medical practice characteristics, (3) voluntariness of use, (4) performance expectancy, (5) effort expectancy, (6) social influence, and (7) facilitating or inhibiting conditions. The grouping results demonstrated that the UTAUT model is useful for organizing the literature but has its limitations. Due to the complex contextual dynamics of health care settings, our work suggested that there would be potential to extend theories on information technology adoption, which is of great benefit to readers interested in learning more on the topic. Practically, these findings may help health care decision makers proactively introduce interventions to encourage acceptance of eHealth and may also assist health policy makers refine relevant policies to promote the eHealth innovation.