Suppr超能文献

基于互联网的焦虑障碍筛查的潜在应用:一项试点研究。

Potential use of Internet-based screening for anxiety disorders: a pilot study.

机构信息

Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.

出版信息

Depress Anxiety. 2010 Nov;27(11):1006-10. doi: 10.1002/da.20723. Epub 2010 Aug 18.

Abstract

BACKGROUND

The Internet is a widely used resource for obtaining health information. Internet users are able to obtain anonymous information on diagnoses and treatment, seek confirmatory information, and are able to self-diagnose. We posted a self-report diagnostic screening questionnaire for DSM-IV anxiety and mood disorders (MACSCREEN) on our clinic website.

METHOD

Three hundred and two individuals completed the MACSREEN. For those who qualified for a DSM-IV disorder, self-report symptom severity measures were completed for the specified disorder: Quick Inventory of Depressive Symptomatology, self-report, Social Phobia Inventory, GAD-7, Davidson Trauma Scale, Panic and Agoraphobia Scale, and Yale/Brown Obsessive Compulsive Scale, self-report. Cutoff scores for each self-report measure were used to evaluate clinically significant symptom severity. Respondents were also asked to complete a series of questions regarding their use of the Internet for health information.

RESULTS

The mean age of the MACSCREEN sample was 35.2 years (±13.9), where the majority (67.2%) were female. The most frequently diagnosed conditions were social phobia (51.0%), major depressive disorder (32.4%), and generalized anxiety disorder (25.5%). Sixty-five percent of the sample met criteria for at least one disorder. Most respondents reported completing the MACSCREEN, as they were concerned they had an anxiety problem (62.3%). The majority of respondents reported seeking health information concerning specific symptoms they were experiencing (54.6%) and were planning to use the information to seek further assessment (60.3%).

CONCLUSION

Individuals with clinically significant disorder appear to be using the Internet to self-diagnose and seek additional information.

摘要

背景

互联网是获取健康信息的广泛使用资源。互联网用户能够获得诊断和治疗的匿名信息,寻求确认信息,并能够自我诊断。我们在诊所网站上发布了一个用于 DSM-IV 焦虑和情绪障碍的自我报告诊断筛选问卷(MACSCREEN)。

方法

302 人完成了 MACSREEN。对于符合 DSM-IV 障碍标准的人,完成了特定障碍的自我报告症状严重程度测量:抑郁症状快速清单,自我报告,社交恐惧症量表,广泛性焦虑症 7 项,Davidson 创伤量表,恐慌和广场恐惧症量表,耶鲁/布朗强迫症量表,自我报告。每个自我报告测量的截止分数用于评估临床显著的症状严重程度。受访者还被要求完成一系列关于他们使用互联网获取健康信息的问题。

结果

MACSCREEN 样本的平均年龄为 35.2 岁(±13.9),其中大多数(67.2%)为女性。最常见的诊断情况是社交恐惧症(51.0%),重度抑郁症(32.4%)和广泛性焦虑症(25.5%)。65%的样本符合至少一种障碍的标准。大多数受访者报告完成了 MACSREEN,因为他们担心自己有焦虑问题(62.3%)。大多数受访者报告说他们正在寻找有关他们正在经历的特定症状的健康信息(54.6%),并计划使用这些信息寻求进一步评估(60.3%)。

结论

患有临床显著障碍的个体似乎正在使用互联网进行自我诊断并寻求其他信息。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验