Heterogeneous symptoms in major depression contribute to unsuccessful antidepressant treatment, termed treatment-resistant depression (TRD). Psychometric network modeling conceptualizes depression as interplay of symptoms with potential benefits for treatment; however, a knowledge gap exists regarding networks in TRD.

Symptoms from 1,385 depressed patients, assessed by the Montgomery-Åsberg-depression rating scale (MADRS) as part of the “TRD-III” cohort of the multinational research consortium “Group for the Studies of Resistant Depression,” were used for Gaussian graphical network modeling. Networks were estimated for two timepoints, pretreatment and posttreatment, after the establishment of outcomes response, non-response, and TRD. Applying the network-comparison test, edge weights, and symptom centrality was assessed by bootstrapping. Applying the network-comparison test, outcome groups were compared cross-sectionally and longitudinally regarding the networks’ global strength, invariance, and centrality.

Pretreatment networks did not differ in global strength, but outcome groups showed distinct symptom connections. For both response and TRD, global strength was reduced posttreatment, leading to significant differences between each pair of networks posttreatment. Sadness, lassitude, inability-to-feel, and pessimistic thoughts ranked most centrally in unfavorable outcomes, while reduced-appetite and suicidal thoughts were more densely connected in response. Connections between central symptoms increased in strength following unsuccessful treatment, particularly regarding links involving pessimistic thoughts in TRD.

Treatment reduced global network strength across outcome groups. However, distinct symptom networks were found in patients showing response to treatment, non-response, and TRD. More easily targetable symptoms such as reduced-appetite were central to networks in patients with response, while pessimistic thoughts may be a key symptom upholding disease burden in TRD.

Nowadays, both researchers and clinicians alike have to deal with increasingly larger datasets, specifically also in the context of mental health data. Sophisticated tools for dataset visualization of information from various item-based instruments, such as questionnaire data or data from digital applications or clinical documentations, are still lacking, specifically for an integration at multiple levels and for use in both data organization and appropriate construction for its valid use in subsequent analyses.

Here, we introduce ItemComplex, a Python-based framework for ex-post visualization of large datasets. The method exploits the comprehensive recognition of instrument alignments and the identification of new content networks and graphs based on item similarities and shared versus differential conceptual bases within and across data and studies.

The ItemComplex framework was evaluated using four existing large datasets from four different cohort studies and demonstrated successful data visualization across multi-item instruments within and across studies. ItemComplex enables researchers and clinicians to navigate through big datasets reliably, informatively, and quickly. Moreover, it facilitates the extraction of new insights into construct representations and concept identifications within the data.

The ItemComplex app is an efficient tool in the field of big data management and analysis addressing the growing complexity of modern datasets to harness the potential hidden within these extensive collections of information. It is also easily adjustable for individual datasets and user preferences, both in the research and clinical field.

Due to limited inpatient care resources and high healthcare expenditures, understanding factors that affect lengths of stay (LOS) is highly relevant. We aimed to investigate associations between metabolic disturbances and LOS in a psychiatric hospital and to identify other clinical and sociodemographic LOS predictors.

Patients admitted to one of the units of the general psychiatric or psychogeriatric departments between January 1, 2007 and December 31, 2020, were included. Metabolic disturbances (i.e., the metabolic syndrome and its five components) were defined using the International Diabetes Federation definition. Cox frailty regression models with time-varying coefficients were used to investigate the association between metabolic disturbances and LOS. Hazard ratios (HR) >1 and HR < 1 indicated the relative likelihood of shorter and extended LOS, respectively.

A total of 7,771 patients for 16,959 hospital stays throughout 14 years of follow-up were included. Central obesity (HR = 0.82; 95% confidence interval [CI] = [0.76–0.89]), hyperglycemia (HR = 0.83; 95% CI = [0.78–0.89]), hypertriglyceridemia (HR = 0.87; 95% CI = [0.80–0.92]), and the metabolic syndrome (HR = 0.76; 95% CI = [0.70–0.82]) were associated with an increased risk of extended LOS in the psychiatric hospital, while underweight (HR = 1.30, 95% CI = [1.09–1.56]) and HDL hypocholesterolemia (HR = 1.10, 95% CI = [1.03–1.18]) were associated with a higher likelihood of shorter LOS. In first-episode psychosis patients, hypertriglyceridemia (HR = 0.82; 95% CI = [0.67–0.99]) and hypertension (HR = 0.76, 95% CI = [0.58–0.99]) were associated with extended LOS when considering all stays, while no association was found when considering the first stay per patient.

Future studies should determine whether better metabolic monitoring and treatment of metabolic disturbances can contribute to reducing LOS.

Recent meta-analyses support the inclusion of cognitive behavioral therapy (CBT) in schizophrenia treatment. Metacognitive Training (MCT) for psychosis is a psychoeducational program derived from CBT, with most meta-analyses showing favorable results. Although meta-analyses are commonly used in clinical practice to guide evidence-based decision-making, the grading system provides complementary results by offering a structured approach for assessing the strength and reliability of evidence and deriving grades of recommendations accordingly.

Our research applies the guidelines from the World Federation of Societies of Biological Psychiatry (WFSBP) to propose grades of recommendation for MCT for psychosis, analyzing 38 randomized controlled trials (RCTs) (n = 1942) and 10 meta-analyses. The primary outcome was positive symptoms, with secondary measures including negative symptoms, general psychopathology, self-esteem, functioning, insight, and cognitive function.

Our findings are primarily based on the risks of bias attributed to RCTs (11 high, 19 moderate, 6 low) and, when necessary, on the overall confidence attributed to meta-analyses (3 low, 7 critically low). According to the WFSBP guidelines, strong recommendations should be made for using MCT for psychosis to improve post-treatment positive symptoms, delusions, and total psychotic symptoms (WFSBP-grade 1). Limited recommendations (WFSBP-grade 2) could be made for using MCT to improve post-treatment visuospatial abilities and to maintain benefits over time in psychopathology, functioning, self-esteem, episodic memory, and attention.

MCT for psychosis is an evidence-based program, especially for positive symptoms, with long-lasting clinical benefits. These recommendations should be interpreted with caution given potential residual biases and heterogeneity among studies.

Neurodevelopmental conditions are crucial risk factors for catatonia in pediatric and adult populations. Recent case reports and studies have identified an increasing number of genetic abnormalities likely contributing to catatonia. Catatonia associated with genetic abnormalities is challenging in terms of identification, chronicity, and resistance to treatment. In addition, understanding these genetic abnormalities through identifying rare single nucleotide and copy number variants may offer valuable insights into the underlying pathophysiology.

We conducted a systematic review of all genetic abnormalities reported with catatonia and performed a gene-set enrichment analysis. Our systematic literature search for relevant articles published through July 15, 2024, using combinations of “catatonia,” “catatonic syndrome,” “genetic,” and “genes” in PubMed, yielded 317 articles. Of these, 94 were included, covering 374 cases of catatonia and 78 distinct genetic abnormalities.

This review discusses the clinical presentation of catatonia for each genetic disorder, the treatment strategies, and the putative underlying mechanisms.

The review highlights that catatonia underpinned by genetic abnormalities presents specific clinical and treatment-response features. Therefore, we propose genetic testing guidelines for catatonia and advocate for systematically investigating catatonia in several genetic diseases. Regarding the pathophysiology of catatonia, the gene ontology of biological processes reveals significant enrichment of variants in synaptic and post-synaptic regulatory genes, particularly within GABAergic neurons, reinforcing the implication of the excitatory/inhibitory imbalance. Finally, genetic variants are enriched in microglial cells, highlighting the role of brain inflammation in triggering catatonia. This comprehensive insight could pave the way for more effective management strategies for this condition.

Clinical high risk for psychosis (CHR) is often managed with antipsychotic medications, but their effects on neurocognitive performance and clinical outcomes remain insufficiently explored. This study investigates the association between aripiprazole and olanzapine use and cognitive and clinical outcomes in CHR individuals, compared to those receiving no antipsychotic treatment.

A retrospective analysis was conducted on 127 participants from the Shanghai At Risk for Psychosis (SHARP) cohort, categorized into three groups: aripiprazole, olanzapine, and no antipsychotic treatment. Neurocognitive performance was evaluated using the MATRICS Consensus Cognitive Battery (MCCB), while clinical symptoms were assessed through the Structured Interview for Prodromal Syndromes (SIPS) at baseline, 8 weeks, and one year.

The non-medicated group demonstrated greater improvements in cognitive performance, clinical symptoms, and functional outcomes compared to the medicated groups. Among the antipsychotic groups, aripiprazole was associated with better visual learning outcomes than olanzapine. Improvements in neurocognition correlated significantly with clinical symptom relief and overall functional gains at follow-up assessments.

These findings suggest potential associations between antipsychotic use and cognitive outcomes in CHR populations while recognizing that observed differences may reflect baseline illness severity rather than medication effects alone. Aripiprazole may offer specific advantages over olanzapine, underscoring the importance of individualized risk-benefit evaluations in treatment planning. Randomized controlled trials are needed to establish causality.

There is increasing emphasis on reducing the use and improving the safety of mechanical restraint (MR) in psychiatric settings, and on improving the quality of evidence for outcomes. To date, however, a systematic appraisal of evidence has been lacking.

We included studies of adults (aged 18–65) admitted to inpatient psychiatric settings. We included primary randomised or observational studies from 1990 onwards that reported patterns of MR and/or outcomes associated with MR, and qualitative studies referring to an index admission or MR episode. We presented prevalence data only for studies from 2010 onwards. The risk of bias was assessed using an adapted checklist for randomised/observational studies and the Newcastle-Ottawa scale for interventional studies.

We included 83 articles on 73 studies from 1990–2022, from 22 countries. Twenty-six studies, from 11 countries, 2010 onwards, presented data from on proportions of patients/admissions affected by MR. There was wide variation in prevalence (<1–51%). This appeared to be mostly due to variations in standard protocols between countries and regions, which dictated use compared to other restrictive practices such as seclusion. Indications for MR were typically broad (violence/aggression, danger to self or property). The most consistently associated factors were the early phase of admission, male sex, and younger age. Ward and staff factors were inconsistently examined. There was limited reporting of patient experience or positive effects.

MR remains widely practiced in psychiatric settings internationally, with considerable variation in rates, but few high-quality studies of outcomes. There was a notable lack of studies investigating different types of restraint, indications, clinical factors associated with use, the impact of ethnicity and language, and evidence for outcomes. Studies examining these factors are crucial areas for future research. In limiting the use of MR, some ward-level interventions show promise, however, wider contextual factors are often overlooked.

This study aimed to provide an up-to-date cross-national comparison of the European population mental health (MH) status and its determinants.

For the European Union (EU) 27 countries and the UK 6 Key Performance Indicators (KPIs) in MH status (e.g., prevalence of mental disorders) and 19 KPIs in individual (e.g., smoking), environmental (e.g., air pollution) and socioeconomic (e.g., poor housing conditions) determinants of MH were measured. KPIs scores were standardised in a 1–10 Likert Scale (1: worst performance; 10: best performance), thus allowing between-country comparisons of the relative performance. Exploratory unadjusted bivariate correlations between KPIs-transformed scores were run.

Based on the KPIs-transformed scores, Slovakia (8.3), Cyprus (7.8), and Greece (7.1) had the best MH status, while Sweden (3.1), UK (2.6), and The Netherlands (2.1) had the poorest MH status. Regarding determinants of MH Finland (8.0), Sweden, and Estonia (7.5) had the lowest MH risk, while France (3.1) and Romania (2.8) had the highest risk.

Smoking (r = −0.43, p = .021), alcohol use (r = 0.57, p = .002), daylight hours (r = 0.74, p < .001), ecoanxiety (r = −0.51, p = .005), air pollution (r = −0.46, p = .015), commuting time (r = 0.42, p = .026), and Fragile State Index (r = −0.44, p = .018) correlated with overall MH status.

Population-level MH status and its determinants varied across European countries, including “low-risk, poor MH status” and “high-risk, good MH status” countries. Further non-tested determinants of MH and/or between-country differences in responsiveness to MH needs may explain this discrepancy. These results should guide future evidence-based public MH policymaking and universal preventive strategies in Europe.

Schizophrenia is a multifactorial disorder with a range of risk factors. Dysregulation in the systems involved in the stress response is a key component of its pathophysiology. Individuals at risk of developing schizophrenia exhibit hyperreactivity to stress and altered cognitive performance, both known as vulnerability markers. This study aims to determine whether stimulation of the prefrontal cortex can reduce reactivity to stress in unaffected siblings of patients with schizophrenia.

In a randomized, sham-controlled trial, 27 participants were assigned to receive either active (n = 14) or sham (n = 13) transcranial direct current stimulation (tDCS) over the prefrontal cortex for 30 min during exposure to an acute stressor. The stress response was measured biologically, via salivary cortisol levels, and cognitively, through a reality monitoring task, which serves as an intermediate cognitive vulnerability marker.

In contrast to the sham condition, active stimulation significantly reduced cortisol release in response to stress (F(9,216) = 1.972; p = 0.04) and prevented stress-induced impairment in reality monitoring (F(1,23) = 9.954; p = 0.004).

These findings suggest that tDCS should be a promising tool for reducing stress-induced biological and cognitive reactivity in a population at risk of schizophrenia.

Studies examining age-stratified risk factors for suicide among individuals with bipolar disorder in different stages of life are scant, possibly because of the insufficient number of suicide cases.

This study investigated suicide mortality rates and risk profiles of suicide mortality stratified by five age groups in individuals with bipolar disorder.

This study identified patients with a diagnosis of bipolar disorder between January 1, 2000, and December 31, 2021, from Taiwan’s National Health Insurance Research Database. The study population comprised 45,211 inpatients diagnosed with bipolar disorder, with 1,370 suicide cases during the study period. We calculated the standardized mortality ratio (SMR) of the bipolar cohort relative to the general population. In the age-stratified nested case–control study, risk set sampling was performed to match 1 suicide case with 10 living controls by age, sex, and the year of first diagnosis. The age-stratified risk associated with demographic characteristics, psychiatric and physical comorbidities was estimated using multivariable conditional logistic regression.

The highest SMR (47.0) for suicide was observed in individuals with bipolar disorder aged <30 years. SMR decreased with age; patients aged >60 years had an SMR of 9.5. Among those younger than 40 years, a higher percentage of unemployment was noted among suicide cases than among controls. A significantly increased risk of the depressive phase of bipolar disorder was noted shortly before suicide mortality among patients with bipolar disorder in all age groups. Drug-induced and alcohol-induced mental disorders were associated with suicide and were highly prevalent in patients aged <30 years. Other forms of heart disease were identified in patients aged <40 years, and pneumonia was detected in the 50–59 years age group.

These findings aid the development of health-care intervention strategies for preventing suicide among patients with bipolar disorder in various stages of life.

The diagnosis of ADHD in adults is on the rise. Applying the ADHD diagnosis, which originally was described in children, to adults has involved a “subjectivization” of some of the diagnostic criteria, i.e., some behavioral features (signs) in children have become experiences (symptoms) in adults. These issues raise the question of how ADHD is best diagnosed in adults? Thus, we examined how ADHD is diagnosed in adults in research.

A review of how ADHD is diagnosed in adults in randomized controlled studies (RCTs).

We include 292 RCTs. We found substantial variation and no consensus about the diagnostic method. More than half of the studies did not seem to include an assessment of general psychopathology, and only in 35% of studies was the ADHD diagnosis allocated by psychiatrists or psychologist. More than half of the studies included patients with psychiatric comorbidity.

These findings raise concerns about the validity of the ADHD diagnosis in many of the included RCTs. It is worrying that securing a reasonably accurate diagnosis is not prioritized in more than half of the studies. If neither clinicians nor researchers can rely on the basic fact the patients in scientific studies diagnostically resemble the patients they are facing, scientific studies risk losing their clinical relevance. Since RCTs can lead to changes in clinical practice, they must be conducted carefully. To advance research on adult ADHD, the quality of the diagnostic assessment must be prioritized, requiring comprehensive differential diagnosis by a skilled psychiatrist or psychologist.

This study aimed to cross-compare European countries’ responsiveness to their populations’ mental health (MH) needs.

For the EU-27 countries and the United Kingdom, the 2023 Headway Initiative collected data on 15 key performance indicators (KPIs) in responsiveness in healthcare, including workforce, facilities, quality of care, and MH expenditure, and 14 KPIs in responsiveness in workplaces, schools, and society. Bivariate correlations between Headway-transformed KPI scores, which were standardised in a 1–10 Likert Scale (1: worst performance; 10: best performance), tested for putative associations.

Responsiveness in healthcare: Sweden (10), Denmark (8.8), and Finland (8.3) showed the best performance, while Romania (1.0), Slovakia (1.1), and Latvia and Bulgaria (1.2) had the poorest performance. Responsiveness in workplaces: schools, and society, Germany (10.0), France (9.1), and Denmark (9.1) were the most responsive countries, while Greece and Slovakia (1.0) had the poorest responsiveness. MH status total scores negatively correlated with global scores on responsiveness in healthcare (r = −0.34, p = .075), workplaces (r = −0.46, p = .014), schools (r = −0.59, p = .003), and society (r = −0.53, p = .003) – poorer MH status, greater responsiveness.

European countries significantly differed in their responsiveness to the populations’ MH needs, although the real effectiveness of their MH policies remains to be elucidated. Whether more responsive countries, which achieved poorer MH outcomes, successfully met greater preexisting MH needs, they failed to do so, or the relationship is driven by other third variables (e.g., quality of MH assessment) requires future investigation.

Unhealthy lifestyle behaviors are prevalent among people with mental illness (MI), affecting their physical and mental health. Most research has focused on the isolated effects of lifestyle behaviors, leaving the interconnectedness between these behaviors and health outcomes unexplored. This study aimed to examine these relationships and identify the most strongly connected lifestyle behavior or health outcome within a network.

We conducted a cross-sectional study with 423 inpatients with MI, receiving care as usual. Lifestyle behaviors, physical and mental health outcomes were assessed through questionnaires and routine data. A Gaussian Graphical Model was estimated, and strength centrality was calculated to identify the most influential nodes.

Mean age was 55.5 years, 42% were female, and 41% were diagnosed with schizophrenia. Psychological and physical quality of life (QoL), nighttime sleep problems, and overall sleep quality were the most strongly connected nodes. Sleep was strongly associated with physical QoL. Furthermore, there were negative associations between healthy food intake and cholesterol ratio, and positive associations between daily doses of antipsychotics and length of hospital stay. Node strength was stable (CS(cor = 0.7) = 0.75). No clear pattern emerged among other lifestyle behaviors and health outcomes.

This study offers insights into the interrelatedness of lifestyle behaviors and health outcomes. Addressing sleep problems could enhance QoL and potentially influence other health outcomes. Psychological and physical QoL were also strongly associated, emphasizing the importance of perceived well-being in health outcomes. Future research could explore causal pathways to identify treatment targets to improve care.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that often persists into adulthood, significantly impacting daily functioning and quality of life. Sex differences influence ADHD presentation, with females experiencing delayed diagnosis and distinct patterns of severity and comorbidities. Exploring these differences is essential for improving diagnostic accuracy and developing tailored interventions. This study examines ADHD severity, psychiatric comorbidities, and functional impairment by ADHD subtype and sex.

This population-based study included 900 adults diagnosed with ADHD. ADHD severity, comorbidities, and functional outcomes were assessed using validated tools. Bivariate analyses and General Linear Models (GLMs) were applied to examine sex- and subtype-specific effects and their interactions.

Females exhibited greater ADHD severity (p < 0.001), higher levels of depression (p = 0.003) and anxiety (p < 0.001), lower substance use (p < 0.001), poorer functioning (p = 0.039), and greater disability (p = 0.001) than males. No significant sex differences were found in ADHD subtype distribution or age of symptom onset; however, females were diagnosed with ADHD later than males (p < 0.001). The combined ADHD subtype was associated with greater clinical severity, higher levels of depression, anxiety, and impulsive symptoms, increased substance use, and greater disability. A significant interaction between sex and subtype was observed only for disability, with females in the combined subtype exhibiting the most pronounced impairment.

ADHD presents differently across sexes and subtypes, with specific interactions influencing disability. These findings emphasize the importance of considering sex and ADHD subtype independently to enhance diagnostic accuracy and develop targeted treatment strategies.

Scopolamine is a muscarinic receptor antagonist and is widely utilized as a “memory-loss model.” However, its impact across different memory and attention tasks and using different modes of administration has yet to be clearly evaluated. This systematic review and meta-analysis investigates the effect of scopolamine, across all routes of administration and across different dosages, on memory and attention performance in healthy humans (PROSPERO ID: CRD42024531634).

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched (on 20 April 2024) for studies that utilized scopolamine and assessed memory and/or attention. Random-effects meta-analyses were conducted across a range of memory and attention tasks using “Comprehensive Meta-Analysis,” Version 3, to evaluate differential pharmacological effects on cognitive tasks between the scopolamine and placebo groups.

Forty-six studies fulfilled the inclusion and exclusion criteria. Scopolamine negatively impaired performance on all memory tasks (immediate memory, delayed recall, digit span, Buschke selective reminding task, and recognition memory) and led to slower reaction times for three of the five attention tasks examined (choice reaction time, simple reaction time, and rapid visual information processing) compared to placebo. Scopolamine’s negative effect on memory and attention was greater with injectable (e.g., intramuscular, intravenous, and subcutaneous) compared to non-injectable routes of administration (e.g., intranasal, oral, and transdermal).

This study supports the use of scopolamine as a “memory-loss model,” particularly when given by an injectable route of administration. Future clinical trials should evaluate the bioavailability of scopolamine across different routes of administration to ensure therapeutic benefits outweigh any potential adverse cognitive effects.

Suicide remains a major risk factor for individuals suffering from schizophrenia and its prodromal state (i.e., Ultra-High Risk for Psychosis). However, less is known about the prevalence of suicidal behaviour among the adolescent and youth UHR population, a demographic vulnerable to the psychosocial and environmental risk factors of suicide. This review aims to synthesise existing literature on the prevalence of suicidal ideation and behaviour in the adolescent and youth at Ultra-High Risk for Psychosis (UHR), and the associations between suicidal behaviour and its correlates.

The databases PsycINFO, PubMed, Embase, Cochrane Library, Web of Science, and Scopus were accessed up to July 2024. A meta-analysis of prevalence was subsequently performed for lifetime suicidal ideation, lifetime non-suicidal self-injury, lifetime suicidal attempt, and current suicidal ideation. A narrative review was also carried out for the correlates of suicidal behaviour amongst adolescents and youth in the UHR population.

Studies were included in this meta-analysis. Meta-analysis revealed a high prevalence of lifetime suicidal ideation (58%), lifetime non-suicidal self-injury (37%), lifetime suicidal attempt (25%), and current (2 week) suicidal ideation (56%). The narrative review revealed that a personal transition to psychosis and a positive family history of psychosis were associated with suicidal attempts, while depression was associated with both suicidal attempts and suicidal ideation.

The prevalence of suicidal ideation and behaviour among UHR adolescents and youth is high and comparable to that of the general UHR population. Existing measures that mitigate suicide risk in the general UHR population should be adopted for the youth context.

The mental health of incarcerated individuals is a widely recognized public health issue, but little is known about the mental health status of the incarcerated individuals upon release. This study aimed to measure the prevalence of psychiatric disorders and substance use disorders (SUDs) among incarcerated men scheduled to be released from jail soon.

We conducted a cross-sectional national survey from September 2020 to September 2022 across 26 jails (selected at random) in France. Each participant was interviewed within 30 days prior to their release via a structured questionnaire, including the Mini International Neuropsychiatric Interview.

A total of 579 individuals were included in the analysis (participation rate: 66.2%). The prevalence of mood disorders, anxiety disorders, post-traumatic stress disorder, and psychotic episodes were 30.7% (95% confidence interval [CI]: 27.1%–34.6%), 28.7% (95% CI: 25.1%–32.5%), 11.1% (95% CI: 8.8%–13.9%), and 10.5% (95% CI: 8.3%–13.3%), respectively. Additionally, almost half of the individuals had an SUD, and dual disorders were identified in 21.9% (95% CI: 18.8%–25.5%) of the cases. The analysis of mental health care pathways raised questions about access to certain types of care, such as full-time psychiatric hospitalization while in prison, as well as questions about the continuity of care upon release.

This study shows that the mental health of incarcerated men who are scheduled to be released soon is precarious. Complex mental health problems, particularly dual disorders, are common and require better coordination between mental health care systems in prisons and the community.

It is widely known that people with a severe and persistent mental illness (SPMI) are more at risk of poor physical health outcomes because of disparities in healthcare access and provision. Less is known about the quality of end-of-life (EoL) care in people with SPMI who have a life-limiting disease.

A comprehensive and systematic literature search in PubMed, Embase, Web of Science, Scopus, and CINAHL electronic databases (from inception to November 2023) was conducted, without language restriction, for reviews on EoL care and/or palliative sedation for people with SPMI and a life-limiting disease. A critical appraisal of the selected reviews was performed. Data were analyzed according to the four principles of biomedical ethics.

Ten reviews were included. These show that people with SPMI are at risk of suboptimal EoL care. Stigma among healthcare professionals, lack of integrated care policies, absence of advanced care planning, and insufficient expertise and training in palliative care of psychiatrists have been identified as key challenges to the provision of adequate EoL care for people with SPMI. No data were found about palliative sedation.

To optimize palliative and EoL care for SPMI patients with a life-limiting disease, a policy of coordinated and integrated mental and physical healthcare is needed. Moreover, education and training initiatives to reduce stigma and discrimination among all healthcare workers and to enhance palliative care skills in psychiatrists should be offered. Finally, more research is needed on EoL particularly on palliative sedation for people with SPMI and a life-limiting disease.