@Article{info:doi/10.2196/16450，作者=“Weisel, Kiona K and Zarski, Anna-Carlotta and Berger, Thomas and Krieger, Tobias and Moser, Christian T and Schaub, Michael P and G{\“o}rlich, Dennis and Berking, Matthias and Ebert, David D”，标题=“基于互联网和移动设备的个性化跨诊断焦虑症干预的用户体验和效果:“混合方法研究”，期刊=“J Med Internet Res”，年=“2020”，月=“Sep”，日=“16”，卷=“22”，数=“9”，页=“e16450”，关键词=“transdiagnostic;焦虑;抑郁症;量身定做;网络干预”，摘要=“背景:网络干预已被证明对治疗焦虑症有效。迄今为止，大多数干预措施侧重于单一疾病，而忽视了潜在的合并症。目的:本混合方法研究的目的是调查一种新开发的个性化跨诊断引导网络干预焦虑症的可行性、用户体验和效果。方法:本研究采用非对照、组内、基线、干预后先导试验，采用嵌入的定性、定量过程和效果评价。总共有49名患有焦虑症的成年人(广泛性焦虑症20人，社交恐惧症19人，无惊恐的广场恐怖症12人，惊恐伴广场恐怖症6人，惊恐无广场恐怖症4人，亚临床抑郁症41人)接受了7期干预。 We examined motivation and expectations, intervention use, user experience, impact, and modification requests. Qualitative data were assessed using semistructured interviews and analyzed by qualitative content analysis. Quantitative outcomes included symptom severity of anxiety and depression (Hamilton Anxiety Rating Scale [HAM-A], Quick Item Inventory of Depressive Symptomatology clinician rating [QIDS-C]), diagnostic status in clinical interviews (Mini International Neuropsychiatric Interview [MINI]), and web-based self-reports (Generalized Anxiety Disorder--7 [GAD-7], Center for Epidemiological Studies Depression Scale [CES-D], Beck Anxiety Inventory [BAI], Panic and Agoraphobia Scale [PAS], Social Phobia Scale [SPS], Patient Health Questionnaire--9 [PHQ-9]) at baseline and postassessment. Quantitative data was analyzed by comparing within-group means expressed as Cohen d. Results: Anxiety symptom severity (HAM-A d=1.19) and depressive symptoms (QIDS-C d=0.42) improved significantly, and 54{\%} (21/39) no longer were diagnosed as having any anxiety disorder. The main positive effects were the general improvement of disease burden and attentiveness to feelings and risk situations while the main negative effects experienced were lack of change in disease burden and symptom deterioration. The most prevalent reasons for participation were the advantages of online treatment, symptom burden, and openness toward online treatment. Helpful factors included support, psychoeducation and practicing strategies in daily life; the main hindering factors were too little individualization and being overwhelmed by the content and pace. Conclusions: The intervention was found to be feasible and results show preliminary data indicating potential efficacy for improving anxiety and depression. The next step should be the evaluation within a randomized controlled trial. Concerning intervention development, it was found that future interventions should emphasize individualization even more in order to further improve the fit to individual characteristics, preferences, and needs. ", issn="1438-8871", doi="10.2196/16450", url="//www.mybigtv.com/2020/9/e16450/", url="https://doi.org/10.2196/16450", url="http://www.ncbi.nlm.nih.gov/pubmed/32936085" }