  {"id":4969,"date":"2017-04-05T20:03:55","date_gmt":"2017-04-06T00:03:55","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/crisis-text-line-saving-lives-through-data\/"},"modified":"2017-04-05T20:03:55","modified_gmt":"2017-04-06T00:03:55","slug":"crisis-text-line-saving-lives-through-data","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/crisis-text-line-saving-lives-through-data\/","title":{"rendered":"Crisis Text Line: Saving Lives Through Data"},"content":{"rendered":"<p><a href=\"http:\/\/www.crisistextline.org\">Crisis Text Line<\/a> is a non-profit organization that offers free support 24\/7 via text message to people facing a crisis. Founded in 2013, the organization was birthed out of <a href=\"http:\/\/dosomething.org\">DoSomething.org<\/a>, a text-based non-profit organization that connects teens with volunteer opportunities. The catalyst for the organization\u2019s creation was that some teens were responding to calls for volunteers with messages crying out for help. In particular, a respondent asserted that she was being regularly raped by a family member and didn\u2019t know what to do. DoSomething.org staff felt like they had to truly do something.<\/p>\n<p>The victim could have called one of many crisis hotlines; however, there wasn\u2019t a way to text one. Teens, in particular, significantly favor texting over calling as a means of communication and texting provides a different level of privacy than calling. Additionally, &#8220;people are more likely to disclose sensitive information via text message than in voice interviews.&#8221; [2] Accordingly, it was then obvious that there\u00a0was a real opportunity to address mental health issues facing teens in a new fashion.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Value Creation\u00a0<a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.21.24-PM.png\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-4990 alignright\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.21.24-PM-300x216.png\" alt=\"\" width=\"574\" height=\"413\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.21.24-PM-300x216.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.21.24-PM-768x554.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.21.24-PM-600x433.png 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.21.24-PM.png 929w\" sizes=\"auto, (max-width: 574px) 100vw, 574px\" \/><\/a><\/strong><\/p>\n<p>Since Crisis Text Line was established, over 34 million text messages have been exchanged, and it only took four months for the line to receive text messages from all 295 area codes in America.[3, 4] Consequently, the organization has amassed a huge amount of real-time, mid-crisis data \u2013 an unparalleled data set in the mental health field.[5] In contrast, other data are typically captured post-crisis, when memories can be biased or tarnished. The text based nature of the service is also advantageous as it allows for easy data capture (e.g. time, geography, language).\u00a0The data is completely anonymized upon collection and counselors don\u2019t have access to the texter\u2019s contact information. Neither party is billed for the correspondence (as a result of an agreement with national cellphone carriers like Verizon and AT&amp;T), and the conversation isn\u2019t even noted on the texter&#8217;s phone bills.<\/p>\n<p>Harnessing and analyzing the data has been a key focus for the organization\u00a0from its inception: the second hire was a Chief Data Scientist.[6] Data helps to modify and optimize crisis-counseling practices and enables the organization to more efficiently and effectively help those in crisis. For instance, Crisis Text Line has found that first-person responses are more effective in helping people \u201ccool down\u201d from a &#8220;hot moment.&#8221;[7] Also, based on a text\u2019s language, Crisis Text Line\u2019s algorithm can help predict the crisis\u2019 severity level and place that person in the number one slot in the queue, similar to how triage works in hospitals. Lastly, because there\u2019s only one number to text (versus crisis-specific hotlines), people in crisis don\u2019t have to overthink which number to text. The organization and algorithm also benefit by being able to centrally aggregate and, in turn leverage, a variety of data.<\/p>\n<p>Crisis Trends is Crisis Text Line\u2019s sister effort, which helps to educate the public about mental health trends. Researchers, who want to delve deeper into more granular data, can gain access to it by affiliating with a university or research organization and having proper IRB (Institutional Review Board) approval. There are three types of data available: conversation level, actor level, and message level.[8] The aim is that this data set will help the public and policy leaders better address mental health challenges and improve\u00a0people\u2019s lives. <a href=\"http:\/\/www.crisistextline.org\/open-data\/\">Learn More Here.<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Value Capture<a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.20.33-PM.png\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-4991 alignright\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.20.33-PM-300x215.png\" alt=\"\" width=\"597\" height=\"428\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.20.33-PM-300x215.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.20.33-PM-768x549.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.20.33-PM-600x429.png 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2017\/04\/Screen-Shot-2017-04-04-at-10.20.33-PM.png 804w\" sizes=\"auto, (max-width: 597px) 100vw, 597px\" \/><\/a><\/strong><\/p>\n<p>Although Crisis Text Line and <a href=\"http:\/\/crisistrends.org\">Crisis Trends<\/a> don\u2019t capture value in a traditional manner (i.e. monetization), the data helps to drive the organization\u2019s operational efforts. For instance, knowing that \u201cdepression peaks at 8 p.m., anxiety at 11 p.m., self-harm at 4 a.m., and substance abuse at 5 a.m.\u201d can help the organization appropriately staff employees and volunteers, which in turns helps to streamline costs.[9] Since data can help control costs, the burden of fundraising is lessened. Lastly, value is captured via social impact (i.e. lives saved and bettered as a result of the service). Crisis Text Line serves hundreds of folks daily and, on average, has eight \u201clive rescues\u201d a day.[10] The service also is more accessible to the hearing impaired and deaf, relative to other crisis services available.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u00a0Future Opportunities<\/strong><\/p>\n<p>Looking to the future, the organization hopes to generate greater awareness, onboard more highly trained volunteers, and grow to international markets.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center\">https:\/\/www.facebook.com\/Dose\/videos\/1314300228664512\/<\/p>\n<p>&#8212;<\/p>\n<p><strong>Footnotes \/ Sources:<\/strong><\/p>\n<p>[1]\u00a0https:\/\/blogs.microsoft.com\/bayarea\/2016\/11\/30\/how-crisis-text-line-is-harnessing-data-to-improve-mental-health-support-in-the-bay-area<\/p>\n<p>[2]\u00a0http:\/\/www.newyorker.com\/magazine\/2015\/02\/09\/r-u<\/p>\n<p>[3]\u00a0http:\/\/crisistrends.org<\/p>\n<p>[4]\u00a0http:\/\/www.newyorker.com\/magazine\/2015\/02\/09\/r-u<\/p>\n<p>[5] Ibid.<\/p>\n<p>[6] Ibid.<\/p>\n<p>[7] Ibid.<\/p>\n<p>[8]\u00a0http:\/\/www.mobihealthnews.com\/content\/crisis-text-line-opens-its-mental-health-texting-data-set-researchers<\/p>\n<p>[9]\u00a0http:\/\/www.newyorker.com\/magazine\/2015\/02\/09\/r-u<\/p>\n<p>[10]\u00a0http:\/\/mashable.com\/2016\/05\/28\/crisis-text-line\/#Bgua4OBg4Eq2<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Non-profits aren\u2019t known for being particularly data-driven. Crisis Text Line, however, views itself as a tech company first, helping folks with mental health challenges; it just so happens to be a non-profit. It has now amassed the most comprehensive real-time mental health data set to date.[1]<\/p>\n","protected":false},"author":473,"featured_media":4988,"comment_status":"open","ping_status":"closed","template":"","categories":[1371,1372,1373,1327,756,1375,1374],"class_list":["post-4969","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-crisis-text-line","category-crisis-trends","category-dosomethingorg","category-mental-health","category-non-profit","category-policy","category-social-impact"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/data-and-analytics-as-digital-assets\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Crisis Text Line: Saving Lives Through Data - Digital Innovation and Transformation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/crisis-text-line-saving-lives-through-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Crisis Text Line: Saving Lives Through Data - Digital Innovation and Transformation\" \/>\n<meta property=\"og:description\" content=\"Non-profits aren\u2019t known for being particularly data-driven. 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