Introduction and evaluation of a therapeutic adherence and competence scale for grief-focused cognitive behavioural therapy

BACKGROUND: 

There is no therapeutic competence and adherence scale for grief-focused cognitive behavioural therapy (grief-focused CBT). However, given the growing body of evidence for the efficacy of grief-focused CBT, such a scale is needed both to ensure the internal validity of clinical trials and to facilitate psychotherapy process research.

 

OBJECTIVE: 

To develop and undertake a psychometric evaluation of a therapeutic adherence and competence scale for grief-focused CBT.

 

METHOD: 

Risk and protective factors for posttraumatic stress and posttraumatic growth in parents of children with intellectual and developmental disorders

BACKGROUND: 

Parents of children with intellectual and developmental disorders often experience potentially traumatic events while caring for their children. Heightened posttraumatic stress (PTS) and posttraumatic growth (PTG) have been found in this population.

 

OBJECTIVE: 

We aimed to explore risk and protective factors for their PTS and PTG.

 

METHOD: 

A cross-sectional study was conducted with 385 parents (average age M = 43.14 years, SD = 7.40; 95.3% mothers).

 

Study development and protocol for a cohort study examining the impact of baseline social cognition on response to treatment for people living with post-traumatic stress disorder

Background: Social cognitive impairments, specifically in facial emotion processing and mental state attribution, are common in post-traumatic stress disorder. However few studies so far have examined whether social cognitive ability impacts on PTSD recovery.

 

Objective: To examine whether baseline social cognitive abilities are associated with treatment outcomes following trauma-focused therapy for PTSD.

 

Prevalence and correlates of self-stigma in Post-Traumatic Stress Disorder (PTSD)

BACKGROUND: Self-stigma refers to the internalisation of negative societal views and stereotypes. Self-stigma has been well-characterised in the context of mental disorders such as schizophrenia but has received little attention in relation to post-traumatic stress disorder (PTSD).

 

OBJECTIVE: This work aimed to determine the prevalence of self-stigma in a sample of adults with PTSD and to establish factors associated with the internalisation of stigma in this population.

 

Recovering from COVID-19 : psychological sequelae and post-traumatic growth six months after discharge

Background: Clinical and scientific evidence has shown that a range of long-lasting symptoms can persist in the post-virological period. However, little is known about the psychological sequelae of patients hospitalized for coronavirus disease 2019 (COVID-19).

 

A meta-analysis of the association between shame and dissociation

Shame and dissociation have been implicated theoretically and empirically in trauma exposure and its sequelae, with shame understood as an intense negative emotion and dissociation as a reaction to intense negative emotions. Understanding the connection between shame and dissociation is important for theory and practice; however, the strength of this association remains unclear. For example, in therapy, both shame and dissociation serve as a barrier to engaging with emotion.

 

Working with denial in families dealing with child abuse : A scoping review of the resolutions approach

The Resolutions Approach (RA) is a solution-based intervention that has a unique way of dealing with parental denial of child abuse occurrences. The aim of this scoping review is to summarise knowledge about the benefits of the RA and identify areas for future research. After describing the theoretical background, the intervention steps are illustrated. Next, results of a systematic literature search on the effectiveness and other clinical benefits of the RA are presented. Finally, we provide suggestions for future research.

Translating promise into practice : a review of machine learning in suicide research and prevention

In ever more pressured health-care systems, technological solutions offering scalability of care and better resource targeting are appealing. Research on machine learning as a technique for identifying individuals at risk of suicidal ideation, suicide attempts, and death has grown rapidly. This research often places great emphasis on the promise of machine learning for preventing suicide, but overlooks the practical, clinical implementation issues that might preclude delivering on such a promise.

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