@文章{信息:doi/10.2196/11387，作者=“Mattsson, Susanne and Olsson, Erik Martin Gustaf and Carlsson, Maria and Johansson, Birgitta Beda Kristina”，标题=“癌症患者焦虑和抑郁症状的识别:长短网络问卷的比较”，期刊=“J Med Internet Res”，年=“2019”，月=“4”，日=“05”，卷=“21”，号=“4”，页=“e11387”，关键词=“筛选”;癌症;抑郁症;焦虑;互联网;背景:由于缺乏时间、筛查方法培训以及如何诊断焦虑和抑郁的知识等障碍，从事癌症护理的医生和护士很容易无法发现心理困扰的症状。一些国家的国家指南建议对癌症患者的情绪困扰进行常规筛查，但在许多诊所，这并没有得到实施。通过发明省时的筛查方法，例如使用短仪器的数字化和自动化筛查，我们可以减轻患者和工作人员的负担。目的:本研究的目的是比较网络版本的超短电子视觉模拟量表(eVAS)焦虑和eVAS抑郁以及短医院焦虑和抑郁量表(HADS)与网络版本的长蒙哥马利抑郁评定量表-自我报告(MADRS-S)和状态-特质焦虑量表-状态(STAI-S)在识别癌症患者焦虑和抑郁症状方面的能力。方法:数据来源于新诊断(<6个月)乳腺癌、前列腺癌、结直肠癌或结直肠癌复发患者(N=558)的连续样本。 The patients were recruited at 4 hospitals in Sweden between April 2013 and September 2015, as part of an intervention study administered via the internet. All questionnaires were completed on the Web at the baseline assessment in the intervention study. Results: The ultrashort and short Web-based-delivered eVAS anxiety, eVAS depression and HADS were found to have an excellent ability to discriminate between persons with and without clinical levels of symptoms of anxiety and depression compared with recommended cutoffs of the longer instruments MADRS-S and STAI-S (area under the curve: 0.88-0.94). Cutoffs of >6 on HADS anxiety and >7 hundredths (hs) on eVAS anxiety identified patients with anxiety symptoms with high accuracy. For HADS depression, at a cutoff of >5 and eVAS depression at a cutoff of >7 hs, the accuracy was very high likewise. Conclusions: The use of the short and ultrashort tools, eVAS and HADS, may be a suitable initial method of Web-based screening in busy clinical settings. However, there are still a proportion of patients who lack access to the internet or the ability to use it. There is a need to find solutions for this group to find all the patients with psychological distress. ", issn="1438-8871", doi="10.2196/11387", url="//www.mybigtv.com/2019/4/e11387/", url="https://doi.org/10.2196/11387", url="http://www.ncbi.nlm.nih.gov/pubmed/30950804" }