Lorence Daniel P, Park Heeyoung
Department of Health Policy & Administration and The School of Information Science & Technology, 114 Henderson HHD, Pennsylvania State University, University Park, PA 16802, USA.
Technol Health Care. 2006;14(2):79-89.
There is growing evidence of the use of the Internet to obtain critical health information as well as increased diversity of user groups. While users of web-based information often report their reliance on healthcare providers for validation of information, it has yet to be determined if this is universally true across all types of information or user groups. In some cases consumers may aggregate in places where they trust web information (relative to provider-based information), such as areas of unsettled diagnostic methods or ambiguous treatment protocols. To date little research has been done to identify and differentiate clusters of health consumers and their similarities related to type of information sought. Data from a study of consumer Web search activity in a post-intervention era serves as a natural experiment, and can identify whether clusters of "digitally underserved groups" persist in the US, following national efforts to eliminate barriers to health information access. This exploratory technology assessment study seeks to differentiate and delineate specific information behaviors, across targeted healthcare subgroups. Doing so allows the design of more effective strategies to promote the use of the Web as a health education and health promotion tool, under the envisioned shared decisionmaking, consumer-centric health information model, critical to the proposed US national health information infrastructure.
越来越多的证据表明,人们利用互联网获取关键健康信息,而且用户群体日益多样化。虽然基于网络的信息使用者常常表示,他们依赖医疗保健提供者来验证信息,但对于所有类型的信息或用户群体而言,这是否普遍成立还有待确定。在某些情况下,消费者可能会聚集在他们信任网络信息(相对于基于提供者的信息)的地方,比如诊断方法尚无定论或治疗方案不明确的领域。迄今为止,几乎没有研究致力于识别和区分健康消费者群体,以及他们与所寻求信息类型相关的相似之处。一项关于干预后时代消费者网络搜索活动的研究数据可作为一项自然实验,并且能够确定在美国全国努力消除健康信息获取障碍之后,“数字服务不足群体”是否仍然存在。这项探索性技术评估研究旨在区分和描绘目标医疗保健亚群体的特定信息行为。这样做有助于设计更有效的策略,以便在设想的共同决策、以消费者为中心的健康信息模型下,推动将网络用作健康教育和健康促进工具,这对于拟议中的美国国家健康信息基础设施至关重要。