JMIR Mental Health· 2017Q1· Klinik çalışma
Depresyon ve Anksiyete Belirtileri Olan Genç Yetişkinlere Tam Otomatik Bir Sohbet Aracısı (Woebot) Kullanılarak Bilişsel Davranışçı Terapi Sunumu: Rastgele Kontrollü Bir Çalışma
Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial
- 2.601atıf
- Q1SCImago
- 2017yıl
Kısa özet
Rastgele bir deneme, tam otomatik bir sohbet aracısının (Woebot) genç yetişkinlerde depresyon belirtilerini bilgi odaklı bir kontrol grubuna kıyasla önemli ölçüde azalttığını buldu.
Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.
Ana noktalar
- Woebot, 2 hafta boyunca genç yetişkinlerde depresyon belirtilerini (PHQ-9) önemli ölçüde azalttı.
- Woebot grubundaki katılımcılar, çalışma süresince ortalama 12.14 kez sohbet arayüzü ile etkileşime girdi.
- Tamamlayan katılımcılar arasında hem Woebot hem de kontrol grupları anksiyete belirtilerinde (GAD-7) önemli azalmalar gösterdi.
- Katılımcı yorumları, programın kabul edilebilirliğinde içerik faktörlerinden çok süreç faktörlerinin etkili olduğunu öne sürdü.
Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.
Özet (abstract)
Background Web-based cognitive-behavioral therapeutic (CBT) apps have demonstrated efficacy but are characterized by poor adherence. Conversational agents may offer a convenient, engaging way of getting support at any time. Objective The objective of the study was to determine the feasibility, acceptability, and preliminary efficacy of a fully automated conversational agent to deliver a self-help program for college students who self-identify as having symptoms of anxiety and depression. Methods In an unblinded trial, 70 individuals age 18-28 years were recruited online from a university community social media site and were randomized to receive either 2 weeks (up to 20 sessions) of self-help content derived from CBT principles in a conversational format with a text-based conversational agent (Woebot) (n=34) or were directed to the National Institute of Mental Health ebook, “Depression in College Students,” as an information-only control group (n=36). All participants completed Web-based versions of the 9-item Patient Health Questionnaire (PHQ-9), the 7-item Generalized Anxiety Disorder scale (GAD-7), and the Positive and Negative Affect Scale at baseline and 2-3 weeks later (T2). Results Participants were on average 22.2 years old (SD 2.33), 67% female (47/70), mostly non-Hispanic (93%, 54/58), and Caucasian (79%, 46/58). Participants in the Woebot group engaged with the conversational agent an average of 12.14 (SD 2.23) times over the study period. No significant differences existed between the groups at baseline, and 83% (58/70) of participants provided data at T2 (17% attrition). Intent-to-treat univariate analysis of covariance revealed a significant group difference on depression such that those in the Woebot group significantly reduced their symptoms of depression over the study period as measured by the PHQ-9 (F=6.47; P=.01) while those in the information control group did not. In an analysis of completers, participants in both groups significantly reduced anxiety as measured by the GAD-7 (F1,54= 9.24; P=.004). Participants’ comments suggest that process factors were more influential on their acceptability of the program than content factors mirroring traditional therapy. Conclusions Conversational agents appear to be a feasible, engaging, and effective way to deliver CBT.
Yazarların özeti; kaynağından alınmıştır. JMIR Mental Health, 2017 · DOI ↗
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