Crisis Text Line use following the release of Netflix series 13 Reasons Why Season 1: Time-series analysis of help-seeking behavior in youth
Crisis Text Line use following the release of Netflix series 13 Reasons Why Season 1: Time-series analysis of help-seeking behavior in youth
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DOI：
10.1016/j.pmedr.2019.100825
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发表时间：
2019-06-01
影响因子：
2.8
通讯作者：
Sugg, Margaret M.
中科院分区：
文献类型：
--
作者：
Thompson, Laura K.;Michael, Kurt D.;Sugg, Margaret M.
来自危机文本线（CTL）和其他基于技术的危机事件平台的近实时数据的可用性为在严重的心理健康结果（例如，自杀、自残）。这项研究调查了流行的Netflix系列13 Reasons Why（13RW）的发布与美国全国青年样本中CTL使用之间的关联。我们实施了中断的时间序列，自回归综合移动平均（ARIMA）建模，以检查这种关联在日常规模。我们观察到，在2017年4月5日和6日发布13RW后，CTL对话量出现了显著但短暂的上升，随后在整个研究期间对话量显著下降（12.7%）。这种通话量的减少持续了49天，是365天数据集中通话量最持续的减少。这一意想不到的谈话量低谷是令人担忧的，因为在节目播出后的几天里，搜索引擎的搜索量上升，表明自杀念头增加（Ayers等人，2017年）。CTL在最近发布的第二季中被该节目作为观众的资源，我们的结果突出了这种推广的理由和必要性。未来的工作应该探讨CTL在第二季中的推广是否对谈话量产生了积极影响，因为显然需要利用这些数字技术的力量来检测基于人口的心理健康趋势，并扩大救生服务的覆盖范围。
The availability of near real-time data from Crisis Text Line (CTL) and other technology-based platforms on crisis events provides an opportunity for targeted interventions prior to serious mental health outcomes (e.g., suicide, self-harm). This study examined the association between the release of the popular Netflix series 13 Reasons Why (13RW) and CTL usage in a national sample of youth in the US. We implemented interrupted time-series, autoregressive integrated moving average (ARIMA) modeling to examine this association at a daily scale. We observed a significant but momentary rise in CTL conversation volume following the release of 13RW on April 5 and 6, 2017 followed by a significant reduction (12.7%) in conversation volume for the overall study period. This reduction in call volume was sustained for 49 days and is the most sustained reduction in conversation volume in the 365 day dataset. This unexpected trough in conversation volume is concerning in light of elevated search engine volume for terms indicating an increase in suicidal thoughts in the days following the release of the show (Ayers et al., 2017). CTL was featured by the show as a resource for viewers in the recently released Season 2, and our results highlight the reasoning and need for such promotion. Future work should explore whether the promotion of CTL in Season 2 positively impacted conversation volume, as there is a clear need to harness the power of these digital technologies to detect population-based trends in mental health and expand the reach of life saving services.