TY - JOUR AU - Griffiths, Kathleen M AU - Tang, Thanh Tin AU - Hawking, David AU - Christensen, Helen PY - 2005 DA - 2005/12/30 TI -抑郁网站质量自动评估JO - J Med Internet Res SP - e59 VL - 7is - 5kw -质量指标KW -抑郁KW - Internet KW -万维网KW -有效性KW -信息检索AB -背景:由于万维网上的卫生信息质量参差不齐，需要有方法协助消费者确定含有循证信息的卫生网站。手动评估工具可以帮助消费者评估网站的质量。然而，这些工具没有经过很好的验证，而且往往不切实际。有必要开发更好的消费者工具，特别是探索评估网上健康信息质量的自动化程序的潜力。目的:本研究(1)描述了一种自动质量评估程序(AQA)的开发，旨在根据其循证质量自动对抑郁症网站进行排名;(2)评估AQA相对于人类评价的循证质量评分的有效性;(3)比较谷歌PageRank和AQA作为循证质量指标的有效性。方法:AQA是使用质量反馈技术和一组训练网站开发的，这些网站之前根据牛津大学循证心理健康中心的抑郁症治疗指南中的声明进行手动评级。验证阶段涉及从DMOZ编译的30个网站，Yahoo! and LookSmart Depression Directories by randomly selecting six sites from each of the Google PageRank bands of 0, 1-2, 3-4, 5-6 and 7-8. Evidence-based ratings from two independent raters (based on concordance with the Oxford guidelines) were then compared with scores derived from the automated AQA and Google algorithms. There was no overlap in the websites used in the training and validation phases of the study. Results: The correlation between the AQA score and the evidence-based ratings was high and significant (r=0.85, P<.001). Addition of a quadratic component improved the fit, the combined linear and quadratic model explaining 82 percent of the variance. The correlation between Google PageRank and the evidence-based score was lower than that for the AQA. When sites with zero PageRanks were included the association was weak and non-significant (r=0.23, P=.22). When sites with zero PageRanks were excluded, the correlation was moderate (r=.61, P=.002). Conclusions: Depression websites of different evidence-based quality can be differentiated using an automated system. If replicable, generalizable to other health conditions and deployed in a consumer-friendly form, the automated procedure described here could represent an important advance for consumers of Internet medical information. SN - 1438-8871 UR - //www.mybigtv.com/2005/5/e59/ UR - https://doi.org/10.2196/jmir.7.5.e59 UR - http://www.ncbi.nlm.nih.gov/pubmed/16403723 DO - 10.2196/jmir.7.5.e59 ID - info:doi/10.2196/jmir.7.5.e59 ER -