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Investigating Patient Attitudes Towards the use of Social Media Data to Augment Depression Diagnosis and Treatment: a Qualitative Study

机译:调查患者对使用社交媒体数据增强抑郁症的诊断和治疗的态度:一项定性研究

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In this paper, we use qualitative research methods to investigate the attitudes of social media users towards the (opt-in) integration of social media data with routine mental health care and diagnosis. Our investigation was based on secondary analysis of a series of five focus groups with Twitter users, including three groups consisting of participants with a self-reported history of depression, and two groups consisting of participants without a self-reported history of depression. Our results indicate that, overall, research participants were enthusiastic about the possibility of using social media (in conjunction with automated Natural Language Processing algorithms) for mood tracking under the supervision of a mental health practitioner. However, for at least some participants, there was skepticism related to how well social media represents the mental health of users, and hence its usefulness in the clinical context.
机译:在本文中,我们使用定性研究方法来调查社交媒体用户对将社交媒体数据与常规心理保健和诊断进行(选择加入)整合的态度。我们的调查基于对Twitter用户的五个焦点小组进行的二级分析,其中三个小组由自我报告患有抑郁症的参与者组成,另外两个小组由没有自我报告患有抑郁症的参与者组成。我们的结果表明,总体而言,研究参与者对在心理健康从业人员的监督下使用社交媒体(结合自动自然语言处理算法)进行情绪跟踪的可能性充满热情。但是,至少对于某些参与者,人们怀疑社交媒体如何很好地代表了用户的心理健康,并因此怀疑其在临床环境中的有用性。

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