{"id":4057,"date":"2024-09-22T15:55:58","date_gmt":"2024-09-22T20:55:58","guid":{"rendered":"https:\/\/www.internetandpsychiatry.com\/wp\/?p=4057"},"modified":"2024-09-22T15:55:58","modified_gmt":"2024-09-22T20:55:58","slug":"a-study-of-veteran-suicide-decedents-that-were-not-classified-as-high-suicide-risk-but-died-by-suicide","status":"publish","type":"post","link":"https:\/\/www.internetandpsychiatry.com\/wp\/research-news\/a-study-of-veteran-suicide-decedents-that-were-not-classified-as-high-suicide-risk-but-died-by-suicide\/","title":{"rendered":"A study of veteran suicide decedents that were not classified as high-suicide-risk but died by suicide"},"content":{"rendered":"<!-- wp:themify-builder\/canvas \/-->\n\n<p><em>Leo Sher, M.D.<\/em><\/p>\n<p>A research work, \u201cCharacterizing Veteran suicide decedents that were not classified as high-suicide-risk\u201d has been published in <em>Psychological Medicine<\/em> online ahead of print (1).<\/p>\n<p>According to a 2017 research work (2), approximately 90% of patients treated in the U.S Department of Veterans Affairs (VA) hospitals that go on to die by suicide do not meet the high-risk criteria and therefore do not receive targeted suicide prevention services designed for high-risk veterans. In this study, the authors used national VA data to focus on patients that were not classified as high-risk but died by suicide.<\/p>\n<p>All VA patients who died by suicide in 2017 or 2018 were included in the analysis. The authors determined whether patients were classified as high-risk using the VA&#8217;s machine learning risk prediction algorithm. After excluding these patients, the authors used principal component analysis to identify moderate-risk and low-risk patients and investigated demographics, service-usage, diagnoses, and social determinants of health differences across high-, moderate-, and low-risk subgroups.<\/p>\n<p>The authors found that high-risk patients tended to be younger, White, unmarried, homeless, and have more mental health diagnoses compared to moderate- and low-risk patients. Moderate- and low-risk patients tended to be older, married, Black, and Native American or Pacific Islander, and have more physical health diagnoses compared to high-risk patients. Low-risk patients had more missing data than higher-risk patients. The authors suggest that their findings raise concerns about reliance on machine learning risk prediction models.<\/p>\n<p>References<\/p>\n<ol>\n<li>Levis M, Dimambro M, Levy J, Dufort V, Fraade A, Winer M, Shiner B. Characterizing Veteran suicide decedents that were not classified as high-suicide-risk. Psychol Med. 2024 Sep 16:1-10. doi: 10.1017\/S0033291724001296. Epub ahead of print.<\/li>\n<li>Kessler RC, Hwang I, Hoffmire CA, McCarthy JF, Petukhova MV, Rosellini AJ, Sampson NA, Schneider AL, Bradley PA, Katz IR, Thompson C, Bossarte RM. Developing a practical suicide risk prediction model for targeting high-risk patients in the Veterans health Administration. Int J Methods Psychiatr Res. 2017 Sep;26(3):e1575. doi: 10.1002\/mpr.1575. Epub 2017 Jul 4.<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>Leo Sher, M.D. A research work, \u201cCharacterizing Veteran suicide decedents that were not classified as high-suicide-risk\u201d has been published in Psychological Medicine online ahead of print (1). According to a 2017 research work (2), approximately 90% of patients treated in the U.S Department of Veterans Affairs (VA) hospitals that go on to die by suicide [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-4057","post","type-post","status-publish","format-standard","hentry","category-research-news","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"builder_content":"","_links":{"self":[{"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/posts\/4057","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/comments?post=4057"}],"version-history":[{"count":3,"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/posts\/4057\/revisions"}],"predecessor-version":[{"id":4060,"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/posts\/4057\/revisions\/4060"}],"wp:attachment":[{"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/media?parent=4057"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/categories?post=4057"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.internetandpsychiatry.com\/wp\/wp-json\/wp\/v2\/tags?post=4057"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}