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The authors aimed to use health records data to examine how the accuracy of statistical models predicting self-harm or suicide changed between 2015 and 2019, as health systems implemented suicide prevention programs. Data from four large health systems were used to identify specialty mental health visits by patients ages ≥11 years, assess 311 potential predictors of self-harm (including demographic characteristics, historical risk factors, and index visit characteristics), and ascertain fatal or nonfatal self-harm events over 90 days after each visit. New prediction models were developed with logistic regression with LASSO (least absolute shrinkage and selection operator) in random samples of visits (65%) from each calendar year and were validated in the remaining portion of the sample (35%). A model developed for visits from 2009 to mid-2015 showed similar classification performance and calibration accuracy in a new sample of about 13.1 million visits from late 2015 to 2019. Area under the receiver operating characteristic curve (AUC) ranged from 0.840 to 0.849 in the new sample, compared with 0.851 in the original sample. New models developed for each year for 2015–2019 had classification performance (AUC range 0.790–0.853), sensitivity, and positive predictive value similar to those of the previously developed model. Models selected similar predictors from 2015 to 2019, except for more frequent selection of depression questionnaire data in later years, when questionnaires were more frequently recorded. A self-harm prediction model developed with 2009–2015 visit data performed similarly when applied to 2015–2019 visits. New models did not yield superior performance or identify different predictors. [ABSTRACT FROM AUTHOR]

This report describes one in a series of National Institute of Health (NIH) supported conferences aimed at enhancing the ability of leaders of psychiatry residency training to teach research literacy and produce both clinician-scholars and physician-scientists in their home programs. Most psychiatry training directors would not consider themselves research scholars or even well-schooled in evidence based practice. Yet they are the front line educators to prepare tomorrow's psychiatrists to keep up with, critically evaluate, and in some cases actually participate in the discovery of new and emerging psychiatric knowledge. This annual conference is meant to help psychiatry training directors become more enthusiastic, knowledgeable and pedagogically prepared to create research-friendly environments at their home institutions, so that more trainees will, in turn, become research literate, practice evidence-based psychiatry, and enter research fellowships and careers. The overall design of each year's meeting is a series of plenary sessions introducing participants to new information pertaining to the core theme of that year's meeting, integrated with highly interactive small group teaching sessions designed to consolidate knowledge and provide pragmatic teaching tools appropriate for residents at various levels of training. The theme of each meeting, selected to be a compelling and contemporary clinical problem, serves as a vehicle to capture training directors' attention while teaching relevant brain science, research literacy and effective pedagogy. This report describes the content and assessment of the 2011 annual pre-meeting, "Evidence-based Approaches to Suicide Risk Assessment and Prevention: Insights from the Neurosciences and Behavioral Sciences for use in Psychiatry Residency Training."

Purpose: Observational studies assessing effects of medical products on suicidal behavior often rely on health record data to account for pre‐existing risk. We assess whether high‐dimensional models predicting suicide risk using data derived from insurance claims and electronic health records (EHRs) are superior to models using data from insurance claims alone. Methods: Data were from seven large health systems identified outpatient mental health visits by patients aged 11 or older between 1/1/2009 and 9/30/2017. Data for the 5 years prior to each visit identified potential predictors of suicidal behavior typically available from insurance claims (e.g., mental health diagnoses, procedure codes, medication dispensings) and additional potential predictors available from EHRs (self‐reported race and ethnicity, responses to Patient Health Questionnaire or PHQ‐9 depression questionnaires). Nonfatal self‐harm events following each visit were identified from insurance claims data and fatal self‐harm events were identified by linkage to state mortality records. Random forest models predicting nonfatal or fatal self‐harm over 90 days following each visit were developed in a 70% random sample of visits and validated in a held‐out sample of 30%. Performance of models using linked claims and EHR data was compared to models using claims data only. Results: Among 15 845 047 encounters by 1 574 612 patients, 99 098 (0.6%) were followed by a self‐harm event within 90 days. Overall classification performance did not differ between the best‐fitting model using all data (area under the receiver operating curve or AUC = 0.846, 95% CI 0.839–0.854) and the best‐fitting model limited to data available from insurance claims (AUC = 0.846, 95% CI 0.838–0.853). Competing models showed similar classification performance across a range of cut‐points and similar calibration performance across a range of risk strata. Results were similar when the sample was limited to health systems and time periods where PHQ‐9 depression questionnaires were recorded more frequently. Conclusion: Investigators using health record data to account for pre‐existing risk in observational studies of suicidal behavior need not limit that research to databases including linked EHR data. [ABSTRACT FROM AUTHOR]

Objective: This study examines how clinicians' emotional responses to suicidal patients and their emotion regulation abilities are related to their treatment recommendations for these patients and to patients' concurrent suicidal ideation and at one‐month follow‐up. Methods: Adult psychiatric outpatients (N = 361) and the mental health professionals evaluating them for treatment (N = 43) completed self‐report assessments following their first clinical meeting. Clinician emotion regulation traits, emotional responses to individual patients, and the recommended intensity of treatment were assessed. Patients were assessed for suicidal ideation immediately following the initial meeting and at a one‐month follow‐up. Moderation and mediation analyses were performed to examine the relationships between study variables. Results: Patient suicidal ideation at the initial clinical encounter was associated with increased negative emotions in clinicians with lower emotion regulation. Further, recommended treatment intensity was associated with clinicians' negative emotional responses but not with patient suicidal ideation among clinicians with lower emotion regulation. Conclusions: Treatment intensification is related to clinicians' emotion regulation abilities. Clinicians' attention to their emotional responses may facilitate improved treatment process and ultimately may improve suicidal outcomes. [ABSTRACT FROM AUTHOR]

The Last Interview of Thomas Szasz would make an excellent discussion piece for a psychiatry residency ethics seminar, because it pushes the viewer to think more deeply about the issues [...]

Background: Mental health clinicians frequently experience intense negative emotional responses to suicidal patients, which have been related to treatment outcome. This study examines the therapeutic alliance as a mediator of the relationship between clinicians' negative emotional responses at the initial encounter and patients' suicidal ideation (SI) concurrently and 1 month later.Methods: We assessed 378 adult psychiatric outpatients (62.7% female; mean age = 39.1 ± 14.6 years) and their 61 treating clinicians. Following the initial encounter, self-report questionnaires assessed clinicians' emotional responses to their patients, patients' and clinicians' perception of the therapeutic alliance, and patients' SI. The SI was reassessed 1 month after the initial visit. Multilevel mediation analyses were performed.Results: Patients' (but not clinicians') perception of the therapeutic alliance mediated the relationship between clinicians' negative emotional responses to patients and patients' SI 1 month following the initial visit (indirect effect estimate = 0.015; p < .001).Conclusions: The association between clinicians' negative emotional response and patients' prospective SI appears to be transmitted, at least partly, through the patients' perception of the poorer early quality of the therapeutic alliance. Thus, clinicians' awareness and management of their emotional states appear essential both for the identification of suicidal risk and to enhance therapeutic alliance and treatment outcomes. [ABSTRACT FROM AUTHOR]

Background: There is need for deeper understanding of the processes by which suicidal thoughts lead to action. Examination of morbid ideation and the emotional sequelae of such ideation that may feed suicide ideation (SI) and attempts (SA) have been limited.Method: Adult psychiatric outpatients (N = 385) were administered the Response to Morbid Ideation Questionnaire (RMI-Q) and measures of SI, suicidal thoughts and behaviors (STB), and other psychiatric symptom severity. We examined (1) incidence and prevalence in mentation of morbid ideations and emotional responses to these ideations, (2) differences in emotional responses between individuals of varying levels of suicide history, and (3) the relationships of different types of morbid ideations and emotional responses with concurrent SI and symptom severity.Results: Morbid ideation was reported by 87.5% of participants and associated with lifetime and concurrent levels of SI/STB. Calm/relieved emotional responses were associated with lifetime and concurrent levels of SI/STB, while negative-valence responses to morbid ideations were associated with concurrent severity of psychopathology.Conclusions: Our results suggest that the role of morbid ideation and its emotional sequelae in the development of suicidal motivation and action deserves further attention and may be a treatment target for suicide risk reduction. [ABSTRACT FROM AUTHOR]

Background: Determining imminent risk of suicide continues to challenge psychiatrists. To this end, we test the clinical utility of a proposed set of diagnostic criteria for the suicide crisis syndrome (SCS) for prediction of imminent suicidal thoughts and behaviors prospectively.Method: One hundred and seventy individuals hospitalized for suicidal thoughts and behaviors (STB) were evaluated within 72 hr of admission with measures assessing symptoms of the proposed SCS, history of STB, current ideation, and depression severity. Four-eight weeks following discharge, STB were reassessed. Associations between SCS and postdischarge attempts were examined using chi-square and logistic regression analyses. The receiver operator characteristic analysis was used to test the optimal number of symptoms required to meet proposed SCS criteria.Results: The syndrome was maximally informative about short-term risk of postdischarge suicide behavior when all criteria were met. The syndrome conferred a sevenfold increase in risk of postdischarge suicide attempt, and significantly improved prediction by standard risk factors, which was null to limited.Conclusions: The SCS diagnostic criteria are supported and appear to describe a clinically meaningful syndrome in a high-risk population. Assessment of SCS may meaningfully improve clinical assessment of imminent suicide risk. Further study is needed to better understand the syndrome and its applicability in low-risk populations. [ABSTRACT FROM AUTHOR]

We examine the interrelations among clinicians' judgment of patients' suicide risk, clinicians' emotional responses, and standard risk factors in the short-term prediction of suicidal thoughts and behaviors. Psychiatric outpatients (n = 153) with a lifetime history of suicide ideation/attempt and their treating clinicians (n = 67) were evaluated at intake. Clinicians completed a standard suicide risk instrument (modified SAD PERSONS scale), a 10-point Likert scale assessment of judgment of patient suicide risk (Clinician Prediction Scale), and a measure of their emotional responses to the patient (Therapist Response Questionnaire-Suicide Form). The Columbia Suicide Severity Rating Scale and the Beck Scale for Suicide Ideation were administered at a one-month follow-up assessment (n = 114, 74.5%). Clinician judgment of risk significantly predicted suicidal thoughts and behaviors at follow-up. Both the standard suicide risk instrument and clinician emotional responses contributed independently to the clinician assessment of risk, which, in turn, mediated their relationships with suicidal thoughts and behaviors. Our findings validate the importance of clinical judgment in assessing suicide risk. Clinical judgment appears to be informed both by concrete risk factors and clinicians' emotional responses to suicidal patients, highlighting emotional awareness as a promising area for research and training. [ABSTRACT FROM AUTHOR]