A call to action: informing research and practice in suicide prevention among individuals with psychosis

Although it is well established that individuals living with psychosis are at increased risk for suicidal ideation, attempts, and death by suicide, several gaps in the literature need to be addressed to advance research and improve clinical practice. This Call-to-Action highlights three major gaps in our understanding of the intersection of psychosis and suicide as determined by expert consensus. The three gaps include research methods, suicide risk screening and assessment tools used with persons with psychosis, and psychosocial interventions and therapies. Specific action steps to address these gaps are outlined to inform research and practice, and thus, improve care and prognoses among persons with psychosis at risk for suicide

Improved limits on the weak, neutral, hadronic axial vector coupling constants from quasielastic scattering of polarized electrons.

In scattering polarized electrons (P1 = 44% by 9Be at an energy of 300 MeV at angles 115°⩽ϑ⩽145° a parity violating asymmetry of Acorr = (−3.5 ± 0.7 ± 0.2) × 10−6 was measured. After correction for finite electron polarization and background we deduce an experimental asymmetry of Acx = (−9.4 ± 1.8 ± 0.5) × 10−6. The quoted errors indicate the statistical and the systematic uncertainties, respectively. The asymmetry, which is dominated by the quasielastic cross section, is interpreted in terms of model-independent electron-nucleon coupling constants of the weak neutral current. The error limits in the sector of axial vector coupling constants have been improved by a factor of 3 over previous results. A model-dependent analysis for the Weinberg angle yields the result sin2θw = 0.221 ± 0.014 ± 0.004

Psychometric properties of the mock interview rating scale for schizophrenia and other serious mental illnesses

BackgroundOver the past 10 years, job interview training has emerged as an area of study among adults with schizophrenia and other serious mental illnesses who face significant challenges when navigating job interviews. The field of mental health services research has limited access to assessments of job interview skills with rigorously evaluated psychometric properties.ObjectiveWe sought to evaluate the initial psychometric properties of a measure assessing job interview skills via role-play performance.MethodsAs part of a randomized controlled trial, 90 adults with schizophrenia or other serious mental illnesses completed a job interview role-play assessment with eight items (and scored using anchors) called the mock interview rating scale (MIRS). A classical test theory analysis was conducted including confirmatory factor analyses, Rasch model analysis and calibration, and differential item functioning; along with inter-rater, internal consistency, and test-retest reliabilities. Pearson correlations were used to evaluate construct, convergent, divergent, criterion, and predictive validity by correlating the MIRS with demographic, clinical, cognitive, work history measures, and employment outcomes.ResultsOur analyses resulted in the removal of a single item (sounding honest) and yielded a unidimensional total score measurement with support for its inter-rater reliability, internal consistency, and test-retest reliability. There was initial support for the construct, convergent, criterion, and predictive validities of the MIRS, as it correlated with measures of social competence, neurocognition, valuing job interview training, and employment outcomes. Meanwhile, the lack of correlations with race, physical health, and substance abuse lent support for divergent validity.ConclusionThis study presents initial evidence that the seven-item version of the MIRS has acceptable psychometric properties supporting its use to assess job interview skills reliably and validly among adults with schizophrenia and other serious mental illnesses.Clinical Trial RegistrationNCT03049813

The Signaling Petri Net-Based Simulator: A Non-Parametric Strategy for Characterizing the Dynamics of Cell-Specific Signaling Networks

Reconstructing cellular signaling networks and understanding how they work are major endeavors in cell biology. The scale and complexity of these networks, however, render their analysis using experimental biology approaches alone very challenging. As a result, computational methods have been developed and combined with experimental biology approaches, producing powerful tools for the analysis of these networks. These computational methods mostly fall on either end of a spectrum of model parameterization. On one end is a class of structural network analysis methods; these typically use the network connectivity alone to generate hypotheses about global properties. On the other end is a class of dynamic network analysis methods; these use, in addition to the connectivity, kinetic parameters of the biochemical reactions to predict the network's dynamic behavior. These predictions provide detailed insights into the properties that determine aspects of the network's structure and behavior. However, the difficulty of obtaining numerical values of kinetic parameters is widely recognized to limit the applicability of this latter class of methods

Cell-signalling dynamics in time and space

The specificity of cellular responses to receptor stimulation is encoded by the spatial and temporal dynamics of downstream signalling networks. Computational models provide insights into the intricate relationships between stimuli and responses and reveal mechanisms that enable networks to amplify signals, reduce noise and generate discontinuous bistable dynamics or oscillations. These temporal dynamics are coupled to precipitous spatial gradients of signalling activities, which guide pivotal intracellular processes, but also necessitate mechanisms to facilitate signal propagation across a cell

Mental health provider perspectives of the COVID-19 pandemic impact on service delivery: a focus on challenges in remote engagement, suicide risk assessment, and treatment of psychosis

Abstract Background The COVID-19 pandemic has been impacting the need, utilization, and delivery of mental health services with greater challenges being faced by clients and providers. With many clients facing reduced access to services and social isolation, a focus on suicide risk assessment and prevention is critical. Concern is particularly increased for clients with schizophrenia spectrum disorders given data show suicide rates are disproportionately high for those with psychosis in comparison to the general population. Provider perspectives of challenges in service delivery are needed to inform efforts to improve access, feasibility, and quality of mental health care throughout the evolving pandemic. This study explored mental health provider perspectives of client challenges in service utilization and provider challenges in service delivery, including remote engagement, suicide risk assessment, and treatment of psychosis. Methods Data were collected from social work mental health providers (n = 12) in United States community mental health setting. Providers consented to participate and responded to questions about service delivery experiences in late 2020 and in relation to COVID-19. Demographic and practice-related provider data were explored descriptively using SPSS and qualitative data using open coding and grounded theory methods in Dedoose. Results Among the 9 providers who engaged in remote service delivery, 7 (77.8%) experienced challenges in remote engagement with clients and 8 (88.9%) experienced challenges in treatment of psychosis. Among the 7 providers who engaged in remote suicide assessment, 4(57%) experienced challenges. Qualitative themes emerged including logistic (e.g., technology access and use), engagement (e.g., virtual rapport-building and limited remote services), and clinical (e.g., difficulty assessing suicide risk, internal stimuli, abnormal involuntary movement, and affect) challenges in service delivery. Conclusions Provider perspectives are essential to inform efforts to build resources and problem-solve challenges and barriers that both providers and clients face throughout various shifts in mental health service delivery. Findings emphasize the need to troubleshoot client access to technology, bolster support for providers to prevent burnout, and greater provider training to improve skills in remote engagement, assessment, and treatment, particularly in relation to psychosis and suicide prevention. Study implications are not only critical for the evolving COVID-19 pandemic, but also in preparation for ongoing shifts in service delivery as technology evolves.http://deepblue.lib.umich.edu/bitstream/2027.42/173788/1/12913_2022_Article_8106.pd

Depression moderates the relationships between hallucinations, delusions, and suicidal ideation: The cumulative effect of experiencing both hallucinations and delusions

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153319/1/2019BornheimerZhangetalJPR.pd