IMPORTANCESuicide prediction models have the potential to improve the identification of patients at heightened suicide risk by using predictive algorithms on large-scale data sources. Suicide prediction models are being developed for use across enterprise-level health care systems including the US Department of Defense, US Department of Veterans Affairs, and Kaiser Permanente.OBJECTIVES To evaluate the diagnostic accuracy of suicide prediction models in predicting suicide and suicide attempts and to simulate the effects of implementing suicide prediction models using population-level estimates of suicide rates.EVIDENCE REVIEW A systematic literature search was conducted in MEDLINE, PsycINFO, Embase, and the Cochrane Library to identify research evaluating the predictive accuracy of suicide prediction models in identifying patients at high risk for a suicide attempt or death by suicide. Each database was searched from inception to August 21, 2018. The search strategy included search terms for suicidal behavior, risk prediction, and predictive modeling. Reference lists of included studies were also screened. Two reviewers independently screened and evaluated eligible studies.FINDINGS From a total of 7306 abstracts reviewed, 17 cohort studies met the inclusion criteria, representing 64 unique prediction models across 5 countries with more than 14 million participants. The research quality of the included studies was generally high. Global classification accuracy was good (Ն0.80 in most models), while the predictive validity associated with a positive result for suicide mortality was extremely low (Յ0.01 in most models). Simulations of the results suggest very low positive predictive values across a variety of population assessment characteristics.CONCLUSIONS AND RELEVANCE To date, suicide prediction models produce accurate overall classification models, but their accuracy of predicting a future event is near 0. Several critical concerns remain unaddressed, precluding their readiness for clinical applications across health systems.

Objective-Effective treatments for adult OCD exist, but refusal and drop-out rates are high and treatments are not effective for all individuals who complete them. Thus, additional treatment options are needed. This study investigated the effectiveness of eight sessions of Acceptance and Commitment Therapy (ACT) for adult obsessive compulsive disorder (OCD) compared to Progressive Relaxation Training (PRT).Method-79 adults (66% Female) diagnosed with OCD (M age=37, 89% Caucasian) participated in a randomized clinical trial of 8 sessions of ACT or PRT with no in-session exposure. The following assessments were completed at pretreatment, posttreatment, and three month follow-up by an assessor who was unaware of treatment conditions: Yale-Brown Obsessive Compulsive Scale (Y-BOCS), Beck Depression Inventory-II, Quality of Life Scale, Acceptance and Action Questionnaire, Thought Action Fusion Scale, and Thought Control Questionnaire. The Treatment Evaluation Inventory-Short Form was completed at posttreatment.Results-ACT produced greater changes at posttreatment and follow-up over PRT on OCD severity post=12.76, PRT pre=25.4, post=18.67,

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We discuss implications for providing psychotherapeutic treatments via TMH and review practice recommendations for assuring and enhancing satisfaction with TMH services.

The use and capabilities of telehealth technologies to conduct psychological assessments remotely are expanding. Clinical practitioners and researchers need to be aware of what influences the psychometric properties of telehealth-based assessments to assure optimal and competent assessments. The purpose of this review is to discuss the specific factors that influence the validity and reliability of remote psychological assessments and to provide best practices recommendations. Specific factors discussed include the lack of physical presence, technological issues, patient and provider acceptance of and comfort with technology, and procedural issues. Psychometric data regarding telehealth-based psychological assessment and limitations to these data, as well as cultural, ethical, and safety considerations are discussed. The information presented is applicable to all mental health professionals who conduct psychological assessment with telehealth technologies.

Modern pharmacological treatments for anxiety disorders are safer and more tolerable than they were 30 years ago. Unfortunately, treatment efficacy and duration have not improved in most cases despite a greater understanding of the pathophysiology of anxiety. Moreover, innovative treatments have not reached the market despite billions of research dollars invested in drug development. In reviewing the literature on current treatments, we argue that evidence-based practice would benefit from better research on the causes of incomplete treatment response as well as the comparative efficacy of drug combinations and sequencing. We also survey two broad approaches to the development of innovative anxiety treatments: the continued development of drugs based on specific neuroreceptors and the pharmacological manipulation of fear-related memory. We highlight directions for future research, as neither of these approaches is ready for routine clinical use.

Fear, dysphoria, and distress are prominent components in the conceptualization of posttraumatic stress disorder (PTSD). However, because our diagnostic categories are open concepts, relying on observed patterns of symptoms for classification, it is unclear whether these components represent core or auxiliary features of the disorder. Convergence across multiple indices is critical for this understanding. In this paper, we examine these components of PTSD across observed symptom patterns, broader theoretical conceptualizations, underlying information processing mechanisms of attention and memory, and underlying learning and neurobiological mechanisms. For each, evidence for similarity or distinctiveness of PTSD with other anxiety disorders and depression is examined. Throughout the review, key points of similarity to the anxiety disorders and divergence with depression argue for a distinction between core fear symptoms and auxiliary dysphoria and distress symptoms. Implications are discussed, noting that, as heterogeneity increases, core characteristics will become more diffused and ancillary constructs will gain an inflated degree of importance.

BATD can be feasibly delivered to the homes of active duty service members and veterans via VC. Small-group differences suggest a slight benefit of in-person care over in-home telehealth on some clinical outcomes. Reasons for this are discussed. (PsycINFO Database Record