Suicide is the second leading cause of death among 25-34 year olds and the third leading cause of death among 15-25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of repeated attempts is generally left to clinical judgment. This paper presents our second attempt to determine the role of computational algorithms in u nderstanding a suicidal patient's thoughts, as represented by suicide notes. We focus on developing methods of natural language p rocessing that distinguish between genuine and elicited suicide notes. We hypothesize that machine learning algorithms can categorize suicide notes as well as mental health professionals and psychiatric physician trainees do. The data used are comprised of suicide notes from 33 suicide completers and matched to 33 elicited notes from healthy control group members. Eleven mental health profess ionals and 31 psychiatric trainees were asked to decide if a note was genuine or elicited. Their decisions were compared to nine different machine-learning algorithms. The results indicate that trainees accurately classified notes 49% of the time, mental health professionals accurately classified notes 63% of the time, and the best machine learning algorithm accurately classified the notes 78% of the time. This is an important step in developing an evidence-based predictor of repeated suicide attempts because it shows that natural language processing can aid in distinguishing between classes of suicidal notes.

One of the most established “truths” in suicidology is that almost all (90 % or more) of those who kill themselves suffer from one or more mental disorders, and a causal link between the two is implied. Psychological autopsy (PA) studies constitute one main evidence base for this conclusion. However, there has been little reflection on the reliability and validity of this method. For example, psychiatric diagnoses are assigned to people who have died by suicide by interviewing a few of the relatives and/or friends, often many years after the suicide. In this article, we scrutinize PA studies with particular focus on the diagnostic process and demonstrate that they cannot constitute a valid evidence base for a strong relationship between mental disorders and suicide. We show that most questions asked to assign a diagnosis are impossible to answer reliably by proxies, and thus, one cannot validly make conclusions. Thus, as a diagnostic tool psychological autopsies should now be abandoned. Instead, we recommend qualitative approaches focusing on the understanding of suicide beyond mental disorders, where narratives from a relatively high number of informants around each suicide are systematically analyzed in terms of the informants’ relationships with the deceased.

The findings of an international workshop on improving clinical interactions between mental health workers and suicidal patients are reported. Expert clinician-researchers identified common contemporary problems in interviews of suicide attempters. Various videotaped interviews of suicide attempters were critically discussed in relation to expert experience and the existing literature in this area. The working group agreed that current mental health practice often does not take into account the subjective experience of patients attempting suicide, and that contemporary clinical assessments of suicidal behavior are more clinician-centered than patient-centered. The group concluded that clinicians should strive for a shared understanding of the patient's suicidality; and that interviewers should be more aware of the suicidal patient's inner experience of mental pain and loss of self-respect. Collaborative and narrative approaches to the suicidal patient are more promising, enhancing the clinician's ability to empathize and help the patient begin to reestablish a sense of mastery, thereby strengthening the clinical alliance.

Too often ethical boards delay or stop research projects with vulnerable populations, influenced by presumed rather than empirically documented vulnerability. The article investigates how participation is experienced by those bereaved by suicide. Experiences are divided into 3 groups: (a) overall positive (62%), (b) unproblematic (10%), and (c) positive and painful (28%). The positive experiences are linked to processes of meaning-making, gaining new insight, and a hope to help others. Objective factors concerning the gender of participants, their relationship to the deceased, the method of suicide, and time since loss were largely unrelated to their experience of the interview.