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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:调查患者对利用社交媒体数据来增强抑郁症诊断和治疗的态度: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社交媒体数据的态度与常规心理保健和诊断的态度。我们的调查基于与推特用户的一系列五个焦点小组的次要分析,包括三组,其中包括具有自我报告的抑郁历史的参与者,以及两个组成的参与者,没有自我报告的抑郁历史。我们的结果表明,总体而言,研究参与者热烈了解使用社交媒体(与自动自然语言处理算法)的可能性,以便在心理健康从业者的监督下进行情绪跟踪。然而,对于至少一些参与者来说,与社交媒体如何代表用户的心理健康以及临床环境中的有用性有关的怀疑论。

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