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BackgroundA growing body of literature shows profound effects of the COVID-19 pandemic on mental health, among which increased rates of posttraumatic stress disorder (PTSD) and adjustment disorder (AD). However, current research efforts have largely been unilateral, focusing on psychopathology and not including well-being, and are dominated by examining average psychopathology levels or on disorder absence/presence, thereby ignoring individual differences in mental health. Knowledge on individual differences, as depicted by latent subgroups, in the full spectrum of mental health may provide valuable insights in how individuals transition between health states and factors that predict transitioning from resilient to symptomatic classes. Our aim is to (1) identify longitudinal classes (i.e., subgroups of individuals) based on indicators of PTSD, AD, and well-being in response to the pandemic and (2) examine predictors of transitioning between these subgroups.Methods and analysisWe will conduct a three-wave longitudinal online survey-study of n ≥ 2000 adults from the general Dutch population. The first measurement occasion takes place six months after the start of the pandemic, followed by two follow-up measurements with six months intervals. Latent transition analysis will be used for data-analysis.Ethics and disseminationEthical approval has been obtained from four Dutch universities. Longitudinal study designs are vital to monitor mental health (and predictors thereof) in the pandemic to develop preventive and curative mental health interventions. This study is carried out by researchers who are board members of the Dutch Society for Traumatic Stress Studies and is part of a pan-European study (initiated by the European Society for Traumatic Stress Studies) examining the impact of the pandemic in eleven countries. Results will be published in peer-reviewed journals and disseminated at conferences, via newsletters, and media-appearance among (psychotrauma-)professionals and the general public.Strengths and limitations of this studyThis is one of the first studies examining the mental health impact of the COVID-19 pandemic by focusing on negative and positive mental health in the general population.A longitudinal research design is used, which enable us to examine predictors of transitioning between mental health classes over three time points.A limitation of this study is that we used self-report measures, instead of clinical interviews, to assess mental health.

Intimate partner violence (IPV) is a serious mental and physical health concern worldwide. Although previous research suggests that childhood maltreatment increases the risk for IPV, the underlying psychological mechanisms of this relationship are not yet entirely understood. Borderline personality (BP) features may play an important role in the cycle of violence, being associated with interpersonal violence in both childhood and adult relationships. The present study investigated whether BP features mediate the relationship between childhood maltreatment and IPV, differentiating between perpetration and victimization, and taking maladaptive stress coping and gender into account. Self-reports on IPV, childhood trauma, BP features, and maladaptive stress coping were collected in a mixed (nonclinical and clinical) sample of 703 adults (n = 537 female, n = 166 male), using an online survey. A serial mediation analysis (PROCESS) was performed to quantify the direct effect of childhood maltreatment on IPV and its indirect effects through BP features and maladaptive coping. Childhood maltreatment severity significantly positively predicted IPV perpetration as well as victimization. BP features, but not coping, partially mediated this relationship. Follow-up analyses suggest that affective instability and interpersonal disturbances (e.g., separation concerns) play an important role in IPV perpetration, while interpersonal and identity disturbances may mediate the effect of childhood maltreatment on IPV victimization. In clinical practice, attention should be paid not only to histories of childhood abuse and neglect but also to BP features, which may be possible risk factors for IPV.

The necessary requirement of a traumatic event preceding the development of Posttraumatic Stress Disorder, theoretically allows for administering preventive and early interventions in the early aftermath of such events. Machine learning models including biomedical data to forecast PTSD outcome after trauma are highly promising for detection of individuals most in need of such interventions. In the current study, machine learning was applied on biomedical data collected within 48 h post-trauma to forecast individual risk for long-term PTSD, using a multinominal approach including the full spectrum of common PTSD symptom courses within one prognostic model for the first time. N = 417 patients (37.2% females; mean age 46.09 ± 15.88) admitted with (suspected) serious injury to two urban Academic Level-1 Trauma Centers were included. Routinely collected biomedical information (endocrine measures, vital signs, pharmacotherapy, demographics, injury and trauma characteristics) upon ED admission and subsequent 48 h was used. Cross-validated multi-nominal classification of longitudinal self-reported symptom severity (IES-R) over 12 months and bimodal classification of clinician-rated PTSD diagnosis (CAPS-IV) at 12 months post-trauma was performed using extreme Gradient Boosting and evaluated on hold-out sets. SHapley Additive exPlanations (SHAP) values were used to explain the derived models in human-interpretable form. Good prediction of longitudinal PTSD symptom trajectories (multiclass AUC = 0.89) and clinician-rated PTSD at 12 months (AUC = 0.89) was achieved. Most relevant prognostic variables to forecast both multinominal and dichotomous PTSD outcomes included acute endocrine and psychophysiological measures and hospital-prescribed pharmacotherapy. Thus, individual risk for long-term PTSD was accurately forecasted from biomedical information routinely collected within 48 h post-trauma. These results facilitate future targeted preventive interventions by enabling future early risk detection and provide further insights into the complex etiology of PTSD., Highlights • Accurate PTSD prognosis early post-trauma is required for effective preventive interventions. • We performed prognostic modeling of PTSD risk in emergency department patients. • Machine learning was applied on early biomedical data to forecast PTSD at 12 months. • Good prediction of multinominal PTSD course and PTSD diagnostic status was achieved. • Endocrine and physiological measures and pharmacotherapy were relevant features.

Background Many patients with post-traumatic stress disorder (PTSD) experience dissociative symptoms. The question of whether these dissociative symptoms negatively influence the effectiveness of psychotherapy for PTSD is unresolved. Aims To determine the influence of dissociative symptoms on psychotherapy outcome in PTSD. Method We conducted a systematic search in Cochrane, Embase, PILOTS, PsycINFO, PubMed and Web of Science for relevant clinical trials. A random-effects meta-analysis examined the impact of dissociation on psychotherapy outcome in PTSD (pre-registered at Prospero CRD42018086575). Results Twenty-one trials (of which nine were randomised controlled trials) with 1714 patients were included. Pre-treatment dissociation was not related to treatment effectiveness in patients with PTSD (Pearson's correlation coefficient 0.04, 95% CI −0.04 to 0.13). Between-study heterogeneity was high but was not explained by moderators such as trauma focus of the psychotherapy or risk of bias score. There was no indication for publication bias. Conclusions We found no evidence that dissociation moderates the effectiveness of psychotherapy for PTSD. The quality of some of the included studies was relatively low, emphasising the need for high-quality clinical trials in patients with PTSD. The results suggest that pre-treatment dissociation does not determine psychotherapy outcome in PTSD.

BackgroundPrior research indicates that the factors that trigger suicidal ideation may differ from those that maintain it, but studies into the maintenance of suicidal ideation remain scarce. Our aim was to assess the longitudinal course of suicidal ideation, and to identify predictors of persistent suicidal ideation.MethodsWe used data from the Netherlands Study of Depression and Anxiety (NESDA). We performed a linear mixed-effects growth model analysis (n = 230 with current suicidal ideation at baseline) to assess the course of suicidal ideation over time (baseline through 2-, 4-, 6- and 9-year follow-up). We used logistic regression analysis (n = 195) to test whether factors previously associated with the incidence of suicidal ideation in the literature (insomnia, hopelessness, loneliness, borderline personality traits, childhood trauma, negative life events) also predict persistence of suicidal ideation (i.e., reporting ideation at two consecutive assessment points, 6- and 9-years). We controlled for socio-demographics, clinical diagnosis and severity, medication use, and suicide attempt history.ResultsSuicidal ideation decreased over time, and this decrease became slower with increasing time, with the majority of symptom reductions occurring in the first two years of follow-up. More severe insomnia and hopelessness were associated with increased odds of persistent suicidal ideation, and hopelessness was a significant mediator of the relationship between insomnia and persistent suicidal ideation.LimitationsFindings may not generalize to those with more severe suicidal ideation due to dropout of those with the worst clinical profile.ConclusionsTargeting insomnia and hopelessness in treatment may be particularly important to prevent the persistence of suicidal ideation.

BACKGROUND Despite increasing evidence of the effectiveness of digital learning solutions in higher vocational education, including the training of allied health professionals, the impact of Web-based training on the development of practical skills in psychiatry and psychology, in general, and in suicide prevention, specifically, remains largely understudied. OBJECTIVE This study aimed to determine the effectiveness of an electronic learning (e-learning) module on the adherence to suicide prevention guidelines, knowledge of practical skills, and provider’s confidence to have a conversation about suicidal behavior with undergraduate psychology students. METHODS The e-learning module, comprising video recordings of therapist-patient interactions, was designed with the aim of transferring knowledge about suicide prevention guideline recommendations. The program’s effects on guideline adherence, self-evaluated knowledge, and provider’s confidence were assessed using online questionnaires before the program (baseline and at 1 month [T1] and 3 months after baseline). The eligible third- and fourth-year undergraduate psychology students were randomly allocated to the e-learning (n=211) or to a waitlist control condition (n=187), with access to the intervention after T1. RESULTS Overall, the students evaluated e-learning in a fairly positive manner. The intention-to-treat analysis showed that the students in the intervention condition (n=211) reported higher levels of self-evaluated knowledge, provider’s confidence, and guideline adherence than those in the waitlist control condition (n=187) after receiving the e-learning module (all P valuesP values>.05) within the intervention group, whereas a significant improvement was observed in the waitlist control group (all P values CONCLUSIONS An e-learning intervention on suicide prevention could be an effective first step toward improved knowledge of clinical skills. The learning outcomes of a stand-alone module were found to be similar to those of a training that combined e-learning with a face-to-face training, with the advantages of flexibility and low costs.

The European countries have a long history of exposure to large-scale trauma. In the early 1990s the increasing awareness of the consequences of trauma within the mental health community led to the foundation of local societies for psychotraumatology across Europe and the European Society of Traumatic Stress Studies (ESTSS), which celebrated its 25th anniversary in 2018. The focus of this article is to describe the current state of care for survivors of trauma in the 15 European countries where ESTSS member societies have been established. Brief descriptions on the historical burden of trauma in each country are followed by an overview of the care system for trauma survivors in the countries, the state-of-the-art of interventions, current challenges in caring for survivors and the topics that need to be most urgently addressed in the future. The reports from the different countries demonstrate how important steps towards a better provision of care for survivors of trauma have been made in Europe. Given the cultural and economic diversity of the continent, there are also differences between the European countries, for instance with regard to the use of evidence-based treatments. Strategies to overcome these differences, like the new ESTSS training curricula for care-providers across Europe, are briefly discussed. Los países Europeos tienen una larga historia de exposición a traumas de larga escala. A principios de la década de 1990, la creciente conciencia de las consecuencias del trauma dentro de la comunidad de salud mental condujo a la fundación de las sociedades locales para la psicotraumatología en Europa y la Sociedad Europea de Estudios de Estrés Traumático (ESTSS), la cual celebra en el 2018 su 25° aniversario. El enfoque de este artículo es describir el estado actual de la atención de los sobrevivientes de traumas en los 15 países Europeos, donde las sociedades miembros de la ESTSS se han establecido. Las descripciones breves sobre la carga histórica de trauma en cada país son seguidas por una descripción general del sistema de atención para sobrevivientes de trauma en el país, el estado de la técnica de las intervenciones, los desafíos actuales en el cuidado de sobrevivientes y los temas que necesitan ser abordados con mayor urgencia en el futuro. Los reportes de los diferentes países demuestran los pasos importantes que se han dado en Europa en la entrega de atención para los sobrevivientes de trauma. Dada la diversidad cultural y económica del continente, hay también diferencias entre los países Europeos, por ejemplo en relación al uso de tratamientos basados en la evidencia. Las estrategias para resolver estas diferencias, como el nuevo curriculum de entrenamiento de la ESTSS para los proveedores de atención a lo largo de Europa son discutidas brevemente. 欧洲国家有遭受大规模创伤的久远历史。在20世纪90年代早期，精神卫生界内越来越意识到创伤的后果，导致了在欧洲各个地区性创伤心理学会和欧洲创伤应激研究学会（ European Society of Traumatic Stress Studies；ESTSS）的成立，该学会将于2018年庆祝其成立25周年。本文旨在描述在已建立ESTSS子协会的15个欧洲国家中创伤幸存者护理的当前状况。首先是对每个国家创伤的历史负担的简要描述，之后概述了各国创伤幸存者的护理系统的概述，干预措施的最新技术，护理幸存者面临的的当前挑战以及将来最迫切需要解决的问题。来自不同国家的报告展示了，在欧洲是如何实现为创伤幸存者提供更好的护理。鉴于大陆的文化和经济多样性，欧洲国家之间也存在差异，例如在循证治疗的使用上。我们简要讨论了克服这些差异的策略，例如为跨欧洲的护理服务提供者的新ESTSS培训课程。.

The shared experiences of war are commonly known to forge strong bonds among the participating soldiers. Through focus groups (N = 36) and a quantitative survey (N = 340), this study explores the b...

Objective Pharmacological intervention during traumatic memory consolidation has been suggested to prevent posttraumatic stress disorder (PTSD). The aim of this study was to examine the association between prescription of early pharmacotherapy and the risk of developing PTSD symptoms following traumatic injury. Method The use of opiate analgesics, beta-adrenergic blockers, corticosteroids and benzodiazepines within 48 h postinjury was documented based on hospital charts for 629 Level 1 trauma center patients. PTSD symptoms were assessed using structured clinical interviews. Primary outcome was 6-week PTSD symptoms. Secondary outcomes were PTSD diagnoses at 6 weeks and during 1 year posttrauma. Results Linear regression analyses showed that opiate administration within 48 h was negatively associated with PTSD symptoms at 6 weeks (β=−0.14, P =.009) after controlling for demographic and injury-related characteristics and concurrent pharmacotherapy. Fewer patients with opiates had a PTSD diagnosis at 6 weeks ( P =.047) and during 1 year posttrauma ( P =.013) than patients with none of the specified pharmacotherapies. Low prescription frequency of beta-blockers (3.8%), corticosteroids (2.2%) and benzodiazepines (7.8%) precluded further examination of their role in the development of PTSD symptoms because of limited statistical power. Conclusions This study suggests a possible beneficial influence of opiate administration within 48 h posttrauma on the development of PTSD symptoms. Future studies may evaluate the effectiveness of inhospital opiate analgesics compared to placebo in preventing PTSD and may focus on the mechanisms underlying the effect of opiates in preventing PTSD.

Background: Following traumatic exposure, a proportion of trauma victims develops posttraumatic stress disorder (PTSD). Early PTSD risk screening requires sensitive instruments to identify everyone at risk for developing PTSD in need of diagnostic follow-up. Aims: This study compares the accuracy of the 4-item SPAN, 10-item Trauma Screening Questionnaire (TSQ) and 22-item Impact of Event Scale-Revised (IES-R) in predicting chronic PTSD at a minimum sensitivity of 80%. Method: Injury patients admitted to a level-I trauma centre (N = 311) completed the instruments at a median of 23 days and were clinically assessed for PTSD at 6 months. Areas under the curve and specificities at 80% sensitivity were compared between instruments. Results: Areas under the curve in all instruments were adequate (SPAN: 0.83; TSQ: 0.82; IES-R: 0.83) with no significant differences. At 80% sensitivity, specificities were 64% for SPAN, 59% for TSQ and 72% for IES-R. Conclusion: The SPAN, TSQ and IES-R show similar accuracy in early detection of individuals at risk for PTSD, despite differences in number of items. The modest specificities and low positive predictive values found for all instruments could lead to relatively many false positive cases, when applied in clinical practice. © 2014 Mouthaan et al.

Background: Decreased activation of the hypothalamus-pituitary-adrenal (HPA) axis in response to stress is suspected to be a vulnerability factor for posttraumatic stress disorder (PTSD). Previous studies showed inconsistent findings regarding the role of cortisol in predicting PTSD. In addition, no prospective studies have examined the role of dehydroepiandrosterone (DHEA), or its sulfate form DHEAS, and the cortisol-to-DHEA(S) ratio in predicting PTSD. In this study, we tested whether acute plasma cortisol, DHEAS and the cortisol-to-DHEAS ratio predicted PTSD symptoms at 6 weeks and 6 months post-trauma. Methods: Blood samples of 397 adult level-1 trauma center patients, taken at the trauma resuscitation room within hours after the injury, were analyzed for cortisol and DHEAS levels. PTSD symptoms were assessed at 6 weeks and 6 months post-trauma with the Clinician Administered PTSD Scale. Results: Multivariate linear regression analyses showed that lower cortisol predicted PTSD symptoms at both 6 weeks and 6 months, controlling for age, gender, time of blood sampling, injury, trauma history, and admission to intensive care. Higher DHEAS and a smaller cortisol-to-DHEAS ratio predicted PTSD symptoms at 6 weeks, but not after controlling for the same variables, and not at 6 months. Conclusions: Our study provides important new evidence on the crucial role of the HPA-axis in response to trauma by showing that acute cortisol and DHEAS levels predict PTSD symptoms in survivors of recent trauma. © 2014 Elsevier Ltd.

BACKGROUND: Posttraumatic stress disorder (PTSD) develops in 10-20% of injury patients. We developed a novel, self-guided Internet-based intervention (called Trauma TIPS) based on techniques from cognitive behavioral therapy (CBT) to prevent the onset of PTSD symptoms. OBJECTIVE: To determine whether Trauma TIPS is effective in preventing the onset of PTSD symptoms in injury patients. METHODS: Adult, level 1 trauma center patients were randomly assigned to receive the fully automated Trauma TIPS Internet intervention (n=151) or to receive no early intervention (n=149). Trauma TIPS consisted of psychoeducation, in vivo exposure, and stress management techniques. Both groups were free to use care as usual (nonprotocolized talks with hospital staff). PTSD symptom severity was assessed at 1, 3, 6, and 12 months post injury with a clinical interview (Clinician-Administered PTSD Scale) by blinded trained interviewers and self-report instrument (Impact of Event Scale-Revised). Secondary outcomes were acute anxiety and arousal (assessed online), self-reported depressive and anxiety symptoms (Hospital Anxiety and Depression Scale), and mental health care utilization. Intervention usage was documented. RESULTS: The mean number of intervention logins was 1.7, SD 2.5, median 1, interquartile range (IQR) 1-2. Thirty-four patients in the intervention group did not log in (22.5%), 63 (41.7%) logged in once, and 54 (35.8%) logged in multiple times (mean 3.6, SD 3.5, median 3, IQR 2-4). On clinician-assessed and self-reported PTSD symptoms, both the intervention and control group showed a significant decrease over time (P

Background: Injured trauma victims are at risk of developing Posttraumatic Stress Disorder (PTSD) and other post-trauma psychopathology. So far, interventions using cognitive behavioral techniques (CBT) have proven most efficacious in treating early PTSD in highly symptomatic individuals. No early intervention for the prevention of PTSD for all victims has yet proven effective. In the acute psychosocial care for trauma victims, there is a clear need for easily applicable, accessible, cost-efficient early interventions. Objective: To describe the design of a randomized controlled trial (RCT) evaluating the effectiveness of a brief Internet-based early intervention that incorporates CBT techniques with the aim of reducing acute psychological distress and preventing long-term PTSD symptoms in injured trauma victims. Method: In a two armed RCT, 300 injured trauma victims from two Level-1 trauma centers in Amsterdam, the Netherlands, will be assigned to an intervention or a control group. Inclusion criteria are: being 18 years of age or older, having experienced a traumatic event according to the diagnostic criteria of the DSM-IV and understanding the Dutch language. The intervention group will be given access to the intervention’s website (www.traumatips.nl), and are specifically requested to login within the first month postinjury. The primary clinical study outcome is PTSD symptom severity. Secondary outcomes include symptoms of depression and anxiety, quality of life, and social support. In addition, a cost-effectiveness analysis of the intervention will be performed. Data are collected at one week post-injury, prior to first login (baseline), and at 1, 3, 6 and 12 months. Analyses will be on an intention-to-treat basis. Discussion: The results will provide more insight into the effects of preventive interventions in general, and Internet-based early interventions specifically, on acute stress reactions and PTSD, in an injured population, during the acute phase after trauma. We will discuss possible strengths and limitations. Keywords: injury; trauma; early intervention; prevention; Internet; e-Mental Health; PTSD; cognitive behavioral therapy (CBT) (Published: 4 November 2011) Citation: European Journal of Psychotraumatology 2011, 2 : 8294 - DOI: 10.3402/ejpt.v2i0.8294 For the abstract, full text in other languages or an interview with the authors, please see Supplementary files in the column to the right (under Reading Tools).

Anger is a key long-term outcome from trauma exposure, regardless of trauma type, and it is implicated as a moderator of response to treatment. It therefore seems important that anger is assessed in both epidemiological studies of trauma sequelae and in intervention evaluation research. This study explored the measurement properties of a recently investigated anger scale, the Dimensions of Anger Reactions (DAR) Scale. In our previous study, the DAR was found to be a measure of trait anger, but although brief, the nine response categories per item may have confused respondents, suggesting fewer response categories may work equally well. Additionally, our previous analysis suggested there were two redundant items within the DAR. Three samples of Australian veterans were used to investigate the psychometric properties associated with alterations to the response categories of the DAR; veterans who participated in the DAR validation study, those participating in group therapy programmes for post-traumatic stress disorder, and veterans participating in lifestyle programmes. Item response theory analysis was used to explore the internal properties of competing DAR models, and models were assessed against external criteria. The results showed that the number of item responses in the DAR exceeded channel capacity, and that response bias occurred in the second half of the instrument. We hypothesized that this was due to respondents not discriminating among the many response categories. Based on a modelling exercise in which we reduced the number of DAR items from 7 to 5 and the number of response categories from 9 to 5, validation tests showed that there was no loss of sensitivity, reliability or validity. To avoid confusion with the DAR, we have referred to the revised version of the DAR as the DAR5. We conclude that the DAR5, which abbreviates the original DAR to half its original length, has similar psychometric properties and is therefore to be preferred especially for use with persons who are under stress, cognitively impaired or less mature. The study findings regarding the optimum number of response categories have implications for the development of other instruments.