Computerized Suicide Prevention Clinical Training Simulations: A Pilot Study.

Purpose: Mental health providers are well-positioned to engage in suicide prevention efforts, yet implementation depends on skill acquisition and providers often report feeling underprepared. This pilot study explored the acceptability, feasibility, and preliminary effectiveness of three suicide prevention-focused simulations with virtual clients. Method: Students (n=22) were recruited from a MSW program, completed pre- and post-test surveys, and engaged with three simulated trainings: 1) suicide risk assessment, 2) safety planning, and 3) motivating a client to treatment. Results: Simulations were reported to be acceptable and feasible, with strong student desire and need for greater suicide prevention training. We observed significant improvements over time in clinical skills via simulated training scores and perceptions of clinical preparedness. Discussion: Preliminary findings indicate simulated training with virtual clients is promising and suggest the three suicide prevention simulations may be useful, scalable, and effective in social work training programs and beyond.

A qualitative study of provider feedback on the feasibility and acceptability of virtual patient simulations for suicide prevention training.

Background: Healthcare organizations are often committed to preventing suicide among their patients, but they can struggle to adequately train providers and implement strategies grounded in evidence-based suicide prevention practices. Virtual patient simulations (VPS) offer the opportunity for providers at healthcare organizations and educational institutions to learn suicide prevention strategies using a realistic and risk-free environment. The purpose of this study was to gather feedback from leaders in the healthcare field regarding the feasibility and acceptability of VPS for their organizations. Methods: Participants (N=9) included administrators, managers, and educators from a variety of health care settings. They were invited to independently test the VPS and participate in a subsequent focus group to provide feedback. Participants were asked about VPS acceptability, satisfaction, potential fit within the intended context, feasibility of delivery, motivation to use, and likelihood of adoption. Responses were audio recorded and transcribed for coding and thematic analysis. Results: Themes emerged regarding perceived benefits of the VPS, considerations related to cost, barriers to implementation, and suggestions for improvement. Participants reported VPS trainings were acceptable and feasible, filling an important gap in the field especially around suicide safety planning, particularly for newer clinicians and students in training. Participants felt that this type of virtual training was particularly feasible given the recent increase in need for online trainings. Suggested improvements included the need to normalize the trial-and-error nature of the VPS for trainees prior to the start of the training, and to consider shortening the duration of the simulation due to learners not being able to bill for time while training. Conclusions: VPS may help to fill an important training need in the field of suicide prevention. The training suite may be best suited for certain settings, such as educational institutions, and most useful for populations including students and new clinicians. VPS may be particularly feasible for organizations that already utilize remote options for work and training.

The Relationship Between Suicidal Behaviors and Zero Suicide Organizational Best Practices in Outpatient Mental Health Clinics.

OBJECTIVE: This study tested the hypothesis that fidelity of clinics to Zero Suicide (ZS) organizational practices is inversely related to suicidal behaviors of patients under clinical care. METHODS: Using cross-sectional analyses, the authors examined the fidelity of 110 outpatient mental health clinics to ZS organizational best practices and suicidal behaviors of clinic patients in the year before a large-scale Zero Suicide implementation. Fidelity to ZS organizational best practices was assessed over a 1-year period with an adapted version of the ZS Organizational Self-Study instrument (17 items self-rated on a Likert scale of 1-5). Suicidal behaviors of patients were identified by extracting information on suicide attempts and deaths from a mandated statewide incident-reporting system database. Clinics were dichotomized into any or no suicide incidents during the year of observation. Logistic regression analyses were used to adjust for clinic census and population type (majority child or adult). RESULTS: The clinics (N=110) served 30,257 patients per week. Clinics' total average fidelity score was 3.1±0.6 (range=1.41-4.12). For each point increase in fidelity, clinics had a significantly reduced likelihood of having a suicide incident (adjusted odds ratio=0.31, 95% confidence interval=0.14-0.69). Exploratory analysis identified significant differences for seven of 17 ZS organizational practices, with the largest effect sizes for suicide-specific quality improvement policies and activities (η2=0.097) and lethal means reduction (η2=0.073). CONCLUSIONS: These findings support an association between clinics' use of ZS organizational best practices and lower suicidal behaviors of patients under their care. Findings also support the validity of the ZS Organizational Self-Study instrument.

Suicide risk assessment training using an online virtual patient simulation.

BACKGROUND: Improving the identification of and intervention with patients at risk for suicide requires innovative training techniques that safely and effectively teach or enhance practitioners' skills. Virtual patient simulations (VPS) can be particularly effective for this purpose because they allow for repetition in skill building as well as a safe space to practice difficult interactions with patients. The purpose of this study was to assess the feasibility and acceptability of a novel VPS that trains practitioners in suicide risk assessment, as well as to examine pre-post changes in suicide-related knowledge through a pilot of the VPS training. METHODS: Practitioners (n=20) were recruited from a Federally Qualified Health Center in the northeastern United States to test the feasibility and acceptability of a VPS suicide risk assessment training. A paired samples t-test was conducted to compare mean differences in practitioners' suicide risk assessment knowledge scores from pre- to post-training, on a scale of 0 to 10. RESULTS: The VPS was feasible to implement, with 18 of 20 participants using the VPS for an average of 21 to 95 minutes, and was acceptable to participants, with an average satisfaction rating of 5.82 out of 7. Participants' knowledge scores improved significantly by an average of 1.86 points from pre- to post-training. CONCLUSIONS: The VPS was feasible and acceptable to this sample of practitioners and significantly increased knowledge from pre- to post-training. As such, VPS holds promise as a technique to develop skills in suicide risk assessment.

Challenges of Population-based Measurement of Suicide Prevention Activities Across Multiple Health Systems.

Suicide is a preventable public health problem. Zero Suicide (ZS) is a suicide prevention framework currently being evaluated by Mental Health Research Network investigators embedded in six Health Care Systems Research Network (HCSRN) member health systems implementing ZS. This paper describes ongoing collaboration to develop population-based process improvement metrics for use in, and comparison across, these and other health systems. Robust process improvement metrics are sorely needed by the hundreds of health systems across the country preparing to implement their own best practices in suicide care. Here we articulate three examples of challenges in using health system data to assess suicide prevention activities, each in ascending order of complexity: 1) Mapping and reconciling different versions of suicide risk assessment instruments across health systems; 2) Deciding what should count as adequate suicide prevention follow-up care and how to count it in different health systems with different care processes; and 3) Trying to determine whether a safety planning discussion took place between a clinician and a patient, and if so, what actually happened. To develop broadly applicable metrics, we have advocated for standardization of care processes and their documentation, encouraged standardized screening tools and urged they be recorded as discrete electronic health record (EHR) variables, and engaged with our clinical partners and health system data architects to identify all relevant care processes and the ways they are recorded in the EHR so we are not systematically missing important data. Serving as embedded research partners in our local ZS implementation teams has facilitated this work.

Predictive utility of an emergency department decision support tool in patients with active suicidal ideation.

Emergency department (ED) clinicians routinely decide the disposition of patients with suicidal ideation, with potential consequences for patient safety, liability, and system costs and resources. An expert consensus panel recently created a 6-item decision support tool for patients with passive or active suicidal ideation. Individuals scoring a 0 (exhibiting none of the tool's 6 items) are considered "lower risk" and suitable for discharge, while those with non-0 scores are considered "elevated risk" and should receive further evaluation. The current study tested the predictive utility of this tool using existing data from the Emergency Department Safety Assessment and Follow-up Evaluation. ED patients with active suicide ideation (n = 1368) were followed for 12 months after an index visit using telephone assessment and medical chart review. About 1 in 5 patients had attempted suicide during follow-up. Because of the frequency of serious warning signs and risk factors in this population, only three patients met tool criteria for "lower risk" at baseline. The tool had perfect sensitivity, but exceptionally low specificity, in predicting suicidal behavior within 6 weeks and 12 months. In logistic regression analyses, several tool items were significantly associated with suicidal behavior within 6 weeks (suicide plan, past attempt) and 12 months (suicide plan, past attempt, suicide intent, significant mental health condition, irritability/agitation/aggression). Although the tool did not perform well as a binary instrument among those with active suicidal ideation, having a suicide plan identified almost all attempters while suicide plan and past attempt identified over four-fifths of near-term attempts. (PsycINFO Database Record