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Practitioner Perspectives on the Uses of Generative AI Chatbots in Mental Health Care: Mixed Methods Study
16 references·1 citing·43 second hop
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References

  • 2006Using thematic analysis in psychology193,725 cited
  • 2005How Many Interviews Are Enough?20,704 cited
  • 2013Power failure: why small sample size undermines the reliability of neuroscience7,634 cited
  • 2017Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial2,713 cited
  • 2021The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality1,192 cited
  • 2020The Inconvenient Truth About Convenience and Purposive Samples1,101 cited
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  • 2023Effects of the COVID-19 pandemic on mental health, anxiety, and depression185 cited
  • 2021Can Chatbots Help Support a Person’s Mental Health? Perceptions and Views from Mental Healthcare Professionals and Experts172 cited
  • 2024Assessing the Effectiveness of ChatGPT in Delivering Mental Health Support: A Qualitative Study139 cited
  • 2018Manage Your Life Online: A Web-Based Randomized Controlled Trial Evaluating the Effectiveness of a Problem-Solving Intervention in a Student Sample

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108 cited
  • 2024Health Care Professionals’ Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis57 cited
  • 2024Assessing the use of ChatGPT as a psychoeducational tool for mental health practice45 cited
  • 2024Investigating the Key Success Factors of Chatbot-Based Positive Psychology Intervention with Retrieval- and Generative Pre-Trained Transformer (GPT)-Based Chatbots44 cited
  • Cited by

    • 2026A scoping review on the mental health harms of LLM-based chatbots5 cited