Understanding Why Patients May Not Report Suicidal Ideation at a Health Care Visit Prior to a Suicide Attempt: A Qualitative Study

Richards, Julie E., Whiteside, Ursula, Ludman, Evette J., Pabiniak, Chester, Kirlin, Beth, Hidalgo, Rianna, Simon, Greg·2019·Psychiatric Services

Cited by (167)

Items 101–167 of 167

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  5. Chapter 1. Suicide Risk Assessment
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  6. Psychometric properties and factor structure of the suicidal narrative inventory in major depression: A multicentric evaluation
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  11. Suicidal ideation during a major depressive episode predicts chronic or recurrent depression: A three-year national study
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  12. Suicidality and mental health stigma and their impact on suicidal ideation disclosure: A narrative review
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  13. Monitoring and responding to signals of suicidal ideation in pragmatic clinical trials: Lessons from the GRACE trial for Chronic Sickle Cell Disease Pain
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  14. Opiate Use and Rise in U.S. Suicide Rates: a Network Analysis Approach on the National Violent Death Reporting System Data
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  15. Acceptability of linking individual credit, financial, and public records data to healthcare records for suicide risk machine learning models
    Robert B. Penfold, Hong Il Yoo, Julie Angerhofer Richards, Norah L. Crossnohere, Eric Johnson, Chester J. Pabiniak, Anne D. Renz, Nicola B. Campoamor, Gregory E. Simon, John F. P. Bridges · 2024 · JAMIA Open
  16. Health Care Use Preceding Suicide by Firearm Compared with Suicide by Other Means — Alaska, Colorado, and Washington, 2020–2022
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  17. Telephone Assessment of Suicidal Risk at Prehospital Emergency Medical Services: A Direct Comparison with Face-to-Face Evaluation at Psychiatric Emergency Service
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  18. Disclosure of Suicidal Ideation and Behaviours: A Systematic Review and Meta-Analysis of Prevalence
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  19. The Natural Language Processing in Etiology Distinguishing Suicidal Ideation (SI) and Nonsuicidal Self-Injury (NSSI) on Social Media
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  22. Examining Suicide Crisis Syndrome as an Indirect Indicator of Suicide Risk in the Military Suicide Research Consortium’s Common Data Elements
    Megan L. Rogers, Jenelle A. Richards, Devon Peterkin, IGOR I. GALYNKER · 2024 · Archives of Suicide Research
  23. Understanding online suicidal ideation in China: nationwide distribution, social determinants, and geographic variations
    Yanji Zhang, Liang Cai, Chunwu Zhu · 2024 · Humanities and Social Sciences Communications
  24. Compression: The Basic Psycho-Social Problem in Managing Health Among Women with Suicide Ideation
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  25. Innovating military suicide prevention: learnings from the Australian Defence SafeSide Project
    Kylie Druett, Sarah Donovan, Jennifer Harvey, Dan Mobbs, Alison Bailey, Melanie Clark, Anthony R. Pisani · 2026 · Frontiers in Psychiatry
  26. Recognizing risk, bearing responsibility: Physicians’ perspectives on suicide risk documentation in healthcare settings undergoing changes
    Jurgita Rimkevičienė, Austėja Agnietė Čepulienė, Miglė Marcinkevičiūtė · 2026 · Death Studies
  27. Initiating talk about suicide and self-harm in psychotherapy with adolescents with depression in China: A conversation analysis approach
    Shuai Zhang, Xueli Yao, Qingwei Song, Jing Zhou, Meili Cheng · 2026 · Social Science & Medicine
  28. Patterns of suicidal ideation disclosure among acute psychiatric inpatients
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  29. Fear as a Precursor to Suicide in Adolescents: A Concept Analysis
    Ashley E. Barber, Regena G. Spratling · 2026 · Journal of the American Psychiatric Nurses Association
  30. Building an Integrated Data Infrastructure to Examine the Spectrum of Suicide Risk Factors in Philadelphia Medicaid
    Molly K. Candon, Kathleen Fox, Shari Jager‐Hyman, Min Jang, Rachel Augustin, Hilary Cantiello, Lisa Colton, Rebecca Drake, Anne C. Futterer, Patrick Kessel et al. · 2023 · Administration and Policy in Mental Health and Mental Health Services Research
  31. Multi-method assessment of suicidal thoughts and behaviors among patients in treatment for OCD and related disorders
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  32. Randomized Pilot of a Clinical Decision Support Tool to Increase Suicide Screening for at-Risk Primary Care Patients With Opioid Use Disorder
    Rebecca C. Rossom, A. Lauren Crain, Gavin B. Bart, Julie Angerhofer Richards, Jennifer M. Boggs, Patrick J. O’Connor, Caitlin M. Borgert-Spaniol, Sheryl M. Kane, Stephanie Ann Hooker · 2024 · AJPM Focus
  33. Self-harm in a prison mental health unit: a pilot trial of a structured professional judgement approach to risk assessment and safety planning
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  34. Suicide and suicidal behaviors: insight into clinical challenges and preventive measures
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  35. Risk and Protective Factors Associated With Suicide Attempts: A Qualitative Study Among Hospitalized Patients in Turkey
    Mehmet Fatih ŞİRAZ, Ali Eryılmaz, Hacer YILDIRIM KURTULUŞ, Mehmet Sabri BOZDAŞ, Murat Yıldırım · 2025 · Journal of Child and Adolescent Psychiatric Nursing
  36. Assessing imminent suicide risk: What about future planning?
    Ahmad Shobassy · 2022 · Current Psychiatry
  37. 1408 レーザを用いたゼオライト系モルタルのセラミック化研究 : その1. セラミック化の概要
    知夫 藤岡, 賢司 杉本, 伸二 安, 公一 長瀬, 啓一 木村, 粕谷正広, 正三 呉羽 · 1990 · 学術講演梗概集. A, 材料施工,防火,海洋,情報システム技術
  38. Exploring the role of health apps in supporting young people with depression: a mixed methods study
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  48. Symptom Severity and Sociodemographic Correlates of the Suicide Crisis Syndrome in Major Depression: A Multicentric Investigation
    Vikas Menon, Ilambaridhi Balasubramanian, Megan L. Rogers, Sandeep Grover, Bhavesh M. Lakdawala, Rajeev Ranjan, Sujit Sarkhel, Naresh Nebhinani, Roy Abraham Kallivayalil, Vijaya Raghavan et al. · 2025 · Archives of Suicide Research
  49. Evaluating implementation preparedness for suicide screening and referral in a Nepali emergency department: A mixed-methods study
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  55. Experiences of Mental Health Nurses in Providing Care to Inpatients With Suicidal Behaviours in Psychiatric Care Settings: A Meta‐Synthesis of Qualitative Research Studies
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  58. Risk Assessment for the Primary Care Provider
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  59. Machine learning classification of patients after suicide attempts using demographic data, EEG connectivity and heart rate variability
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  60. Older Adults Have the Highest Suicide Rates in the United States: Can Risk Algorithms Help Identify Those at Highest Risk in Emergency Departments?
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