@Article{信息:doi 10.2196 / / jmir。2016,作者=“David, Isabelle and Poissant, Lise and Rochette, Annie”,标题=“临床医生对Web 2.0作为卒中最佳实践知识转移机制的期望”,期刊=“J Med Internet Res”,年=“2012”,月=“Sep”,日=“13”,卷=“14”,数=“5”,页数=“e121”,关键词=“定性研究;卫生人员;互联网;循证实践;背景:越来越多的卫生专业人员被鼓励采用循证实践,以确保提高服务效率。为了促进这一实践,有几种策略:分发教育材料、地方共识进程、教育外展访问、地方意见领袖和提醒。尽管有这些策略,实践和科学证据之间仍然存在差距。因此,实施创新的知识转移战略非常重要,这将改变卫生专业人员的做法。通过其交互功能,Web 2.0应用程序值得探索。 As an example, virtual communities of practice have already begun to influence professional practice. Objective: This study was initially developed to help design a Web 2.0 platform for health professionals working with stroke patients. The aim was to gain a better understanding of professionals' perceptions of Web 2.0 before the development of the platform. Methods: A qualitative study following a phenomenological approach was chosen. We conducted individual semi-structured interviews with clinicians and managers. Interview transcripts were subjected to a content analysis. Results: Twenty-four female clinicians and managers in Quebec, Canada, aged 28-66 participated. Most participants identified knowledge transfer as the most useful outcome of a Web 2.0 platform. Respondents also expressed their need for a user-friendly platform. Accessibility to a computer and the Internet, features of the Web 2.0 platform, user support, technology skills, and previous technological experience were found to influence perceived ease of use and usefulness. Our results show that the perceived lack of time of health professionals has an influence on perceived behavioral intention to use it despite favorable perception of the usefulness of the Web 2.0 platform. Conclusions: In conclusion, female health professionals in Quebec believe that Web 2.0 may be a useful mechanism for knowledge transfer. However, lack of time and lack of technological skills may limit their use of a future Web 2.0 platform. Further studies are required with other populations and in other regions to confirm these findings. ", issn="1438-8871", doi="10.2196/jmir.2016", url="//www.mybigtv.com/2012/5/e121/", url="https://doi.org/10.2196/jmir.2016", url="http://www.ncbi.nlm.nih.gov/pubmed/23195753" }
Baidu
map