The Adaptation of a Measure of Confidence in Assessing, Formulating, and Managing Suicide Risk.

Background: To date little has been done to evaluate the effectiveness of suicide risk formulation training. Aims: We aimed to investigate the psychometric properties of a new scale measuring clinicians' confidence in assessing, formulating, and managing suicide risk. Method: A total of 128 mental health practitioners from an UK National Health Service Trust completed the scale. Of them, 85 from an Improving Access to Psychological Therapies service did so before and after training in Risk Assessment, Formulation, and Management (RAFM); 28 practitioners from the Older Adults service also completed the measure. For test-retest analysis, a further 15 completed the scale again 1 week after baseline without attending any training. Of the training group, 52 (61%) completed the measure at the 6-month follow-up. Results: Analysis indicated a single-factor structure, good test-retest reliability, and statistically significant increases in confidence between pre- and posttraining and between pretraining and 6 month follow-up. Cohen's effect size values suggest a moderate-to-large effect. Limitations: The relatively small sample sizes indicate that this study should be considered a preliminary investigation of a new measure, which warrants further replication. Conclusion: This measure could be useful in gauging practitioners' confidence in the RAFM approach and in evaluating and developing training.

Exploring the impact on primary care mental health practitioners of the death of a patient by suicide: An IPA study.

OBJECTIVES: There have been numerous qualitative studies into the impact of the death of a patient by suicide on clinicians, but the majority of studies have focussed on psychiatrists and psychologists, primarily in inpatient or secondary care settings. To date, little has been done to explore the impact of such deaths on other mental health practitioners working in primary care, such as those working in Improving Access to Psychological Therapies (IAPT) services. DESIGN: This qualitative study used purposive sampling and adopted an interpretative phenomenological analysis (IPA) methodology. METHOD: All participants had experienced the death of a patient in their role as a practitioner in an IAPT service. Seven practitioners were recruited from services across the North of England. Semi-structured, one-hour telephone interviews were audio recorded and then transcribed verbatim. RESULTS: Analysis of the transcripts identified a number of themes, which were represented in the majority of cases. Specifically, the analyses yielded four superordinate themes: (1) feeling shocked and upset about the death of a patient; (2) attempting to understand the causes of the suicide; (3) learning from the tragic event; and (4) reflections on what helped in coping with the tragic event. The emotional responses of shock, upset, guilt and fear of blame by IAPT practitioners following the death of a patient through suicide is consistent with that found in studies of other mental health practitioners. CONCLUSIONS: It is hoped that the current study will help raise awareness amongst primary care mental health practitioners, services and training centres, of the impact of losing a patient to suicide and will encourage them to consider how best to prepare and support practitioners in this eventuality. Recommendations include raising awareness of the potential for patient suicide in primary care services, providing clarity on the individualised support available and on the requirements of investigations.

Using implementation intentions to prevent relapse after remission from psychological treatment for depression: The SMArT intervention.

OBJECTIVE: To provide evidence of the effectiveness of a brief relapse prevention intervention using implementation intentions (Self-Management after Therapy, SMArT), following remission from depression and to identify effective relapse prevention strategies. METHOD: The SMArT intervention was provided to 107 patients who were recovered after psychological therapy for depression. Relapse events were calculated as reliable and clinically significant increases in PHQ-scores. Sixteen patients receiving the intervention and eight practitioners providing it were interviewed. Framework Analysis identified seven themes which highlighted effective relapse prevention strategies and effective implementation of the SMArT intervention. RESULTS: Relapse rates at the final SMArT session (four months after the end of acute stage therapy) were 11%. Seven themes were identified that supported effective self-management: (1) Relationship with the practitioner-feeling supported; (2) Support networks; (3) Setting goals, implementing plans and routine; (4) Changing views of recovery; (5) The SMArT sessions-mode, content, timing, duration; (6) Suitability for the person; and (7) Suitability for the service. CONCLUSION: The study provides some support for the effectiveness of the SMArT intervention, although a randomized controlled trial is required; and identifies important relapse prevention strategies.

Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data.

BACKGROUND: Common mental disorders can be effectively treated with psychotherapy, but some patients do not respond well and require timely identification to prevent treatment failure. We aimed to develop and validate a dynamic model to predict psychological treatment outcomes, and to compare the model with currently used methods, including expected treatment response models and machine learning models. METHODS: In this prediction model development and validation study, we obtained data from two UK studies including patients who had accessed therapy via Improving Access to Psychological Therapies (IAPT) services managed by ten UK National Health Service (NHS) Trusts between March, 2012, and June, 2018, to predict treatment outcomes. In study 1, we used data on patient-reported depression (Patient Health Questionnaire 9 [PHQ-9]) and anxiety (Generalised Anxiety Disorder 7 [GAD-7]) symptom measures obtained on a session-by-session basis (Leeds Community Healthcare NHS Trust dataset; n=2317) to train the Oracle dynamic prediction model using iterative logistic regression analysis. The outcome of interest was reliable and clinically significant improvement in depression (PHQ-9) and anxiety (GAD-7) symptoms. The predictive accuracy of the model was assessed in an external test sample (Cumbria Northumberland Tyne and Wear NHS Foundation Trust dataset; n=2036) using the area under the curve (AUC), positive predictive values (PPVs), and negative predictive values (NPVs). In study 2, we retrained the Oracle algorithm using a multiservice sample (South West Yorkshire Partnership NHS Foundation Trust, North East London NHS Foundation Trust, Cheshire and Wirral Partnership NHS Foundation Trust, and Cambridgeshire and Peterborough NHS Foundation Trust; n=42 992) and compared its performance with an expected treatment response model and five machine learning models (Bayesian updating algorithm, elastic net regularisation, extreme gradient boosting, support vector machine, and neural networks based on a multilayer perceptron algorithm) in an external test sample (Whittington Health NHS Trust; Barnet Enfield and Haringey Mental Health Trust; Pennine Care NHS Foundation Trust; and Humber NHS Foundation Trust; n=30 026). FINDINGS: The Oracle algorithm trained using iterative logistic regressions generalised well to external test samples, explaining up to 47·3% of variability in treatment outcomes. Prediction accuracy was modest at session one (AUC 0·59 [95% CI 0·55-0·62], PPV 0·63, NPV 0·61), but improved over time, reaching high prediction accuracy (AUC 0·81 [0·77-0·86], PPV 0·79, NPV 0·69) as early as session seven. The performance of the Oracle model was similar to complex (eg, including patient profiling variables) and computationally intensive machine learning models (eg, neural networks based on a multilayer perceptron algorithm, extreme gradient boosting). Furthermore, the predictive accuracy of a more simple dynamic algorithm including only baseline and index-session scores was comparable to more complex algorithms that included additional predictors modelling sample-level and individual-level variability. Overall, the Oracle algorithm significantly outperformed the expected treatment response model (mean AUC 0·80 vs 0·70, p<0·0001]). INTERPRETATION: Dynamic prediction models using sparse and readily available symptom measures are capable of predicting psychotherapy outcomes with high accuracy. FUNDING: University of Sheffield.

The impact on mental health practitioners of the death of a patient by suicide: A systematic review.

There is a growing body of research investigating the impact on mental health professionals of losing a patient through suicide. However, the nature and extent of the impact is unclear. This systematic review synthesizes both quantitative and qualitative studies in the area. The aim was to review the literature on the impact of losing a patient through suicide with respect to both personal and professional practice responses as well as the support received. A search of the major psychological and medical databases was conducted, using keywords including suicide, patient, practitioner, and impact, which yielded 3,942 records. Fifty-four studies were included in the final narrative synthesis. Most common personal reactions in qualitative studies included guilt, shock, sadness, anger, and blame. Impact on professional practice included self-doubt and being more cautious and defensive in the management of suicide risk. As quantitative study methodologies were heterogeneous, it was difficult to make direct comparisons across studies. However, 13 studies (total n = 717 practitioners) utilized the Impact of Event Scale, finding that between 12% and 53% of practitioners recorded clinically significant scores. The need for training that is focused on the impact of suicides, and the value placed upon informal support was often cited. The experience of losing a patient through suicide can have a significant impact on mental health professionals, both in terms of their personal reactions and subsequent changes to professional practice. The negative impact, however, may be moderated by cultural and organisational factors and by the nature of support available.

An Investigation Into the Factor Structure of the Attitudes to Suicide Prevention Scale.

Aim: The aim of this study was to investigate the factor structure of the Attitudes to Suicide Prevention Scale (ASPS). Method: The ASPS was distributed to all staff in a UK National Health Service Trust (N = 957). We conducted an exploratory factor analysis followed by a confirmatory factor analysis by splitting the data 60/40 into training and testing subsets. A multiple regression analysis was carried out to investigate whether the overall scale score varied as a function of professional role, age, and gender and whether respondents had completed suicide prevention training or not. Results: Two items displaying poor item-scale correlation were excluded from the factor analysis and a further item was excluded as it was based on different anchor points. For the remaining 11 items, no adequate factor structure emerged. The scale total demonstrated statistically significant differences in attitudes between staff groups (defined by attendance at suicide awareness or prevention training, by gender, and by level of patient contact), but not between groups defined by age range. Generally, however, there were positive attitudes across all Trust staff. Limitations: This study had a low response rate (24%) and was cross-sectional which limits the conclusions that could be drawn. Furthermore, other areas such as convergent validity and test-retest reliability were not examined. Conclusion: Our findings found no satisfactory factor structure for the ASPS. Further scale development would be beneficial.

Cerium oxide nanoparticles with antioxidant properties ameliorate strength and prolong life in mouse model of amyotrophic lateral sclerosis.

Cerium oxide nanoparticles (CeNPs) neutralize reactive oxygen and nitrogen species. Since oxidative stress plays a role in amyotrophic lateral sclerosis (ALS) in humans and in the SOD1G93A mouse model of ALS, we tested whether administration of CeNPs would improve survival and reduce disease severity in SOD1G93A transgenic mice. Twice a week intravenous treatment of SOD1G93A mice with CeNPs started at the onset of muscle weakness preserved muscle function and increased longevity in males and females. Median survival after the onset of CeNP treatment was 33.0±3.7days (N=20), and only 22.0±2.5days in mice treated with vehicle, control injections (N=27; P=0.022). Since these citrate-EDTA stabilized CeNPs exhibited catalase and oxidase activity in cell-free systems and in in vitro models of ischemic oxidative stress, we hypothesize that antioxidant activity is the protective mechanism prolonging survival in the SOD1G93A mice.

Psychological approaches to treatment of postconcussion syndrome: a systematic review.

BACKGROUND AND AIM: Postconcussion syndrome (PCS) is a term used to describe the complex, and controversial, constellation of physical, cognitive and emotional symptoms associated with mild brain injury. At the current time, there is a lack of clear, evidence-based treatment strategies. In this systematic review, the authors aimed to evaluate the potential efficacy of cognitive behavioural therapy (CBT) and other psychological treatments in postconcussion symptoms. METHODS: Four electronic databases were searched up to November 2008 for studies of psychological approaches to treatment or prevention of postconcussion syndrome or symptoms. RESULTS: The search identified 7763 citations, and 42 studies were included. This paper reports the results of 17 randomised controlled trials for psychological interventions which fell into four categories: CBT for PCS or specific PCS symptoms; information, reassurance and education; rehabilitation with a psychotherapeutic element and mindfulness/relaxation. Due to heterogeneity of methodology and outcome measures, a meta-analysis was not possible. The largest limitation to our findings was the lack of high-quality studies. CONCLUSION: There was evidence that CBT may be effective in the treatment of PCS. Information, education and reassurance alone may not be as beneficial as previously thought. There was limited evidence that multifaceted rehabilitation programmes that include a psychotherapeutic element or mindfulness/relaxation benefit those with persisting symptoms. Further, more rigorous trials of CBT for postconcussion symptoms are required.