Background: People living in rural and remote areas have poorer access to mental health services than those living in cities. They are also less likely to seek help because of self-stigma and entrenched stoic beliefs about help seeking as a sign of weakness. E-mental health services can span great distances to reach those in need and offer a degree of privacy and anonymity exceeding that of traditional face-to-face counseling and open up possibilities for identifying at-risk individuals for targeted intervention. Objective: This scoping review maps the research that has explored text-based e-mental health counseling services and studies that have used language use patterns to predict mental health status. In doing so, one of the aims was to determine whether text-based counseling services have the potential to circumvent the barriers faced by clients in rural and remote communities using technology and whether text-based communications, in particular, can be used to identify individuals at risk of psychological distress or self-harm. Methods: We conducted a comprehensive electronic literature search of PsycINFO, PubMed, ERIC, and Web of Science databases for articles published in English through November 2020. Results: Of the 9134 articles screened, 70 met the eligibility criteria and were included in the review. There is preliminary evidence to suggest that text-based, real-time communication with a qualified therapist is an effective form of e-mental health service delivery, particularly for individuals concerned with stigma and confidentiality. There is also converging evidence that text-based communications that have been analyzed using computational linguistic techniques can be used to accurately predict progress during treatment and identify individuals at risk of serious mental health conditions and suicide. Conclusions: This review reveals a clear need for intensified research into the extent to which text-based counseling (and predictive models using modern computational linguistics tools) may help deliver mental health treatments to underserved groups such as regional communities, identify at-risk individuals for targeted intervention, and predict progress during treatment. Such approaches have implications for policy development to improve intervention accessibility in at-risk and underserved populations. Trial Registration:

中文翻译：

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基于文本的通信对于向农村和偏远社区提供心理治疗服务的适用性：范围界定

背景：农村和偏远地区的人比城市地区的人获得心理保健服务的机会较差。由于自我的污名和坚定的坚信信念，他们寻求帮助的可能性也较小，因此他们寻求帮助的可能性也较小。电子心理健康服务可以跨越很长的距离，以覆盖有需要的人，并提供超出传统面对面咨询的程度的隐私和匿名性，并为识别有风险的个体进行有针对性的干预提供了可能性。客观的：这份范围界定性的评论描绘了已探索基于文本的电子心理健康咨询服务的研究以及已使用语言使用模式预测心理健康状况的研究。这样做的目的之一是确定基于文本的咨询服务是否有潜力克服使用技术的农村和偏远社区客户所面临的障碍，以及是否特别可以使用基于文本的通信来识别个人有遭受心理困扰或自我伤害的风险。方法：我们进行了全面的电子文献检索PsycINFO，考研，ERIC和科学数据库，通过2020年十一月发表的英文文章的网站的结果：在筛选的9134篇文章中，有70篇符合资格标准，并被纳入评论。有初步证据表明，与合格的治疗师进行基于文本的实时交流是提供电子心理健康服务的有效方式，特别是对于那些受到耻辱和机密的个人而言。也有越来越多的证据表明，使用计算语言技术进行了分析的基于文本的交流可以用来准确预测治疗过程中的进展，并确定有严重精神健康状况和自杀风险的个体。结论：这篇评论揭示了明确的需求，即基于文本的咨询（以及使用现代计算语言学工具的预测模型）在何种程度上可以帮助向服务不足的人群（如区域社区）提供心理健康治疗，确定有风险的个体以进行有针对性的干预，并预测治疗过程中的进展。这种方法对提高风险和服务不足人群的干预可及性的政策制定具有影响。试用注册：