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A Pilot Study Using Frequent Inpatient Assessments of Suicidal Thinking to Predict Short-Term Postdischarge Suicidal Behavior

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References

2016Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.3,773 cited
1979Assessment of suicidal intention: The Scale for Suicide Ideation.3,417 cited
2015Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement3,296 cited
2007Self-Injurious Thoughts and Behaviors Interview: Development, reliability, and validity in an adolescent sample.1,349 cited
2019Suicide and suicide risk1,069 cited
2017Examination of real-time fluctuations in suicidal ideation and its risk factors: Results from two ecological momentary assessment studies.831 cited
2015Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD)791 cited
2009Revealing the form and function of self-injurious thoughts and behaviors: A real-time ecological assessment study among adolescents and young adults.662 cited
2017Suicide Rates After Discharge From Psychiatric Facilities650 cited
2010Measuring the Suicidal Mind624 cited
2005Suicide Risk in Relation to Psychiatric Hospitalization619 cited
2016Journal of Open Source Software561 cited
2019Prediction Models for Suicide Attempts and Deaths537 cited
2008Affective instability: Measuring a core feature of borderline personality disorder with ecological momentary assessment.

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501 cited

2020Suicide501 cited

2019Complex affect dynamics add limited information to the prediction of psychological well-being430 cited

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2025Digital Interventions in Inpatient Psychiatry1 cited
2024Development of the Mobile Application to Prevent Suicide (MAPS), a Personalized Smartphone App for Suicide Prevention: Feedback from Individual Interviews1 cited