Background: Suicide-loss survivors (SLSs) are recognised as an at-risk population for several psychiatric complications, including complicated grief (CG) and depression (SI). However, whereas shame is known as one of the characteristics of this population, knowledge about possible psychological processes which may moderate the contribution of shame levels to CG and depression in the aftermath of suicide loss is sparse.

Background: People forced to leave their homes, such as refugees and internally displaced persons, are exposed to various stressors during their forced displacement, putting them at risk for mental disorders.

Objective: To summarize evidence on the efficacy of psychosocial interventions aiming to promote mental health and/or to prevent mental symptoms by fostering transdiagnostic skills in forcibly displaced persons of all ages.

An integrative review investigating the incorporation of artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health care settings was undertaken of published literature between 2016 and 2021 across six databases. Four studies met the research question and the inclusion criteria.

Background and objectives: A rise in prolonged grief disorder (PGD) levels was expected due to COVID-19 deaths. We tested this assumption, by comparing PGD-severity among people who experienced a death of a loved one during the pandemic caused by a natural (e.g., illness), COVID-19, or unnatural (e.g., accidents, suicides, homicides) loss on average 8 months earlier and in a subgroup of people bereaved ≥12 months earlier.