@Article{信息:doi 10.2196 / / jmir.7.3。e23，作者=“Patrick, Kevin and Intille, Stephen S and Zabinski, Marion F”，标题=“癌症传播的生态框架:对研究的启示”，期刊=“J Med Internet Res”，年=“2005”，月=“Jul”，日=“1”，卷=“7”，数=“3”，页=“e23”，关键词=“Internet”;癌症的沟通;生态瞬时评价;生态瞬时干预;无处不在的计算;生态模型;摘要:由于互联网的出现，癌症传播领域经历了一场重大革命。就在最近的20世纪90年代初，面对面、印刷和电话是卫生专业人员和个人之间支持预防和治疗癌症的主要交流方式。计算机支持的互动媒体已经存在，但这通常需要复杂的计算机和视频平台，而这些平台的可用性有限。 The introduction of point-and-click interfaces for the Internet dramatically improved the ability of non-expert computer users to obtain and publish information electronically on the Web. Demand for Web access has driven computer sales for the home setting and improved the availability, capability, and affordability of desktop computers. New advances in information and computing technologies will lead to similarly dramatic changes in the affordability and accessibility of computers. Computers will move from the desktop into the environment and onto the body. Computers are becoming smaller, faster, more sophisticated, more responsive, less expensive, and---essentially---ubiquitous. Computers are evolving into much more than desktop communication devices. New computers include sensing, monitoring, geospatial tracking, just-in-time knowledge presentation, and a host of other information processes. The challenge for cancer communication researchers is to acknowledge the expanded capability of the Web and to move beyond the approaches to health promotion, behavior change, and communication that emerged during an era when language- and image-based interpersonal and mass communication strategies predominated. Ecological theory has been advanced since the early 1900s to explain the highly complex relationships among individuals, society, organizations, the built and natural environments, and personal and population health and well-being. This paper provides background on ecological theory, advances an Ecological Model of Internet-Based Cancer Communication intended to broaden the vision of potential uses of the Internet for cancer communication, and provides some examples of how such a model might inform future research and development in cancer communication. ", issn="1438-8871", doi="10.2196/jmir.7.3.e23", url="//www.mybigtv.com/2005/3/e23/", url="https://doi.org/10.2196/jmir.7.3.e23", url="http://www.ncbi.nlm.nih.gov/pubmed/15998614" }