Effectiveness of family metacognitive training in mothers with psychosis and their adolescent children: a multicenter study protocol

Background

More than half of women with psychosis take care of their children despite the difficulties caused by the disease. Additionally, these kids have a higher risk of developing a mental health disorder. However, no interventions have been developed to meet these needs. Metacognitive Training (MCT) is a psychological intervention that has demonstrated its efficacy in improving cognitive insight, symptom management and social cognition in people with first-episode psychosis (FEP). Additionally, MCT has shown better results in women than men with FEP. This study aims to adapt and evaluate the efficacy of MCT-F in mothers and adolescent children in an online group context with the main purpose of improving family relationships, cognitive awareness and symptoms in women with psychosis and increase their children's knowledge of the disease and their functioning. As secondary objectives, it also aims to evaluate improvements in metacognition, social cognition, symptoms, protective factors and self-perception of stigma.

Materials and methods

A quasi-experimental design with participants acting as their own control will be carried out. Forty-eight mothers with psychosis and their adolescent children (between 12 and 20 years old) recruited from a total of 11 adult mental health care centers will receive MCT-F. Participants will be evaluated 11 weeks before the intervention (T1), at baseline (T2), and post-intervention (T3) with a cognitive insight scale, as a primary outcome. Measures of metacognitive and social cognition, symptoms, cognitive functioning, family and social functioning, protective factors (self-esteem, resilience, and coping strategies) and self-perceived stigma will be addressed as secondary outcomes. Assessment will also address trauma and attachment in mothers and, lastly, the feasibility and acceptability of MCT-F in both participant groups.

Discussion

This will be the first investigation of the efficacy, acceptability, and viability of the implementation of MCT-F. The results of this study may have clinical implications, contributing to improving mothers' with psychosis and adolescents' functioning and better understanding of the disease, in addition to the possible protective and preventive effect in adolescents, who are known to be at higher risk of developing severe mental disorders.Clinical trial registration:https://clinicaltrials.gov/, identifier [NCT05358457].

Family Metacognitive Training (MCT-F): Adapting MCT to Mothers with Psychosis and Their Adolescent Children

Over half of women with psychosis are mothers. Research suggests that mothers with psychosis face unique challenges affecting both their mental health prognosis and their relationship with their children. Moreover, those children have a higher risk of developing a mental disorder. Notwithstanding, interventions specifically tailored to these families remain largely uncovered. Metacognitive Training (MCT) has demonstrated its efficacy in improving cognitive insight, symptom management, and social cognition in people with psychosis. However, there is no evidence of the efficacy of MCT in a family setting (MCT-F). This study describes the first adaptation of MCT for mothers with psychosis and their adolescent children in an online group setting. The phases (assessment, decision, adaptation, production, topical experts' integration) of the ADAPT-ITT model were systematically applied through a participatory approach (n = 22), including a first-person perspective and involving qualitative (e.g., topical expert literature review and consensus groups, interviews, thematic analyses) and quantitative methods. While MCT's core components were retained, participants guided adaptations both in content and delivery. The findings suggest the importance of community engagement and sharing decision-making processes to demonstrate the acceptability and feasibility of the adapted intervention. Employing a structured approach such as the ADAPT-ITT model ensures readiness of the new training for efficacy trials.

Text mining methods for the characterisation of suicidal thoughts and behaviour

Traditional research methods have shown low predictive value for suicidal risk assessments and limitations to be applied in clinical practice. The authors sought to evaluate natural language processing as a new tool for assessing self-injurious thoughts and behaviors and emotions related. We used MEmind project to assess 2838 psychiatric outpatients. Anonymous unstructured responses to the open-ended question "how are you feeling today?" were collected according to their emotional state. Natural language processing was used to process the patients' writings. The texts were automatically represented (corpus) and analyzed to determine their emotional content and degree of suicidal risk. Authors compared the patients' texts with a question used to assess lack of desire to live, as a suicidal risk assessment tool. Corpus consists of 5,489 short free-text documents containing 12,256 tokenized or unique words. The natural language processing showed an ROC-AUC score of 0.9638 when compared with the responses to lack of a desire to live question. Natural language processing shows encouraging results for classifying subjects according to their desire not to live as a measure of suicidal risk using patients' free texts. It is also easily applicable to clinical practice and facilitates real-time communication with patients, allowing better intervention strategies to be designed.

A pilot 1-year follow-up randomised controlled trial comparing metacognitive training to psychoeducation in schizophrenia: effects on insight

Poor insight in schizophrenia spectrum disorders (SSD) is linked with negative outcomes. This single-centre, assessor-blind, parallel-group 1-year follow-up randomised controlled trial (RCT) tested whether metacognitive training (MCT) (compared to psychoeducation) may improve insight and outcomes in outpatients with SSD assessed: at baseline (T0); after treatment (T1) and at 1-year follow-up (T2). Insight (primary outcome) was measured with (i) the Schedule for Assessment of Insight-Expanded version- (SAI-E), including illness recognition (IR), symptom relabelling (SR), treatment compliance (TC) and total insight scores (TIS); and (ii) the Beck Cognitive Insight Scale (BCIS). Between-group comparisons were nonsignificant, while within the MCT group (but not within controls) there was a significant medium effect size for improved TIS at T2 (d = 0.67, P = 0.02). Secondary outcomes included cognitive measures: Jumping to Conclusions (JTC), Theory of Mind (ToM), plus symptom severity and functioning. Compared to psychoeducation, MCT improved the PANSS excitement (d = 1.21, P = 0.01) and depressed (d = 0.76, P = 0.05) factors at T2; and a JTC task both at T1 (P = 0.016) and at T2 (P = 0.031). Participants in this RCT receiving MCT showed improved insight at 1-year follow-up, which was associated with better mood and reduced JTC cognitive bias. In this pilot study, no significant benefits on insight of MCT over psychoeducation were detected, which may have been due to insufficient power.

Investigating the Role of Insight, Decision-Making and Mentalizing in Functional Outcome in Schizophrenia: A Cross-Sectional Study

Background: Recovery has become a priority in schizophrenia spectrum disorders (SSDs). This study aimed to investigate predictors of objective—general functioning and disability—and subjective—quality of life (QoL)—measures of functional outcomes in SSD. Methods: Sample: n = 77 SSD outpatients (age 18–64, IQ > 70) participating in a randomised controlled trial. Baseline data were used to build three multivariable linear regression models on: (i) general functioning—General Assessment of Functioning (GAF); (ii) disability—the World Health Organization Disability Assessment Schedule (WHODAS-2.0); and (iii) QoL—Satisfaction Life Domains Scale (SLDS). Results: Young age and being employed (R² change = 0.211; p = 0.001), late adolescence premorbid adjustment (R² change = 0.049; p = 0.0050), negative symptoms and disorganization (R² change = 0.087; p = 0.025) and Theory of Mind (R² change = 0.066, p = 0.053) predicted general functioning. Previous suicidal behaviour (R² change = 0.068; p = 0.023) and negative and depressive symptoms (R² change = 0.167; p = 0.001) were linked with disability. Previous suicidal behaviour (R² change = 0.070, p = 0.026), depressive symptoms (R² change = 0.157; p < 0.001) and illness recognition (R² change = 0.046, p = 0.044) predicted QoL. Conclusions: Negative, disorganization and depressive symptoms, older age, unemployment, poor premorbid adjustment, previous suicide attempts and illness awareness appear to underlie a poor global functional outcome in SSD. Achieving recovery in SSD appears to require both symptomatic remission (e.g., through antipsychotics) and measures to improve mastery and relieve low mood.

Investigating the Contribution of Decision-Making, Cognitive Insight, and Theory of Mind in Insight in Schizophrenia: A Cross-Sectional Study

INTRODUCTION

Insight in schizophrenia spectrum disorders (SSD) is associated with outcomes. Although the neurocognitive basis of insight is widely accepted, the specific contribution of decision-making (Jumping to Conclusions [JTC]), Cognitive Insight (CI), and Theory of Mind (ToM) to insight remains unclear.

METHODS

The sample included N = 77 SSD outpatients aged 18-64 years from a randomized controlled trial of metacognitive training. Assessments included JTC-Beads Task, CI-Beck Cognitive Insight Scale, ToM-Hinting Task, and the Emotions Recognition Test Faces.

STATISTICS

hierarchical multivariable linear regression models tested their contribution to total insight (TI) and three insight dimensions - illness recognition (IR), symptom relabelling (SR), and treatment compliance (TC) - measured with the Schedule for the Assessment of Insight - Expanded version, whilst adjusting for potential confounders.

RESULTS

Bivariate analyses showed that CI was associated with TI (R2 change = 0.214; p < 0.001), IR (R2 change = 0.154; p = 0.003), and SR (R2 change = 0.168; p = 0.003), while JTC predicted IR (R2 change = 0.790; p = 0.020). Multivariable regression models showed that CI predicted TI (R2 change = 0.116; p = 0.036) and SR (R2 change = 0.166, p = 0.011), whereas JTC was linked with IR (R2 change = 0.710; p = 0.026). ToM was not linked with any insight score. No cognitive variable was associated with treatment compliance.

DISCUSSION

Results supported the (meta)cognitive model of insight in SSD. JTC and CI emerged as the main (meta)cognitive processes underlying insight. Metacognitive interventions may therefore improve insight in SSD, although these therapies alone may fail to address treatment compliance.

Taking Care of Those Who Care: Attending Psychological Needs of Health Workers in a Hospital in Madrid (Spain) During the COVID-19 Pandemic

PURPOSE OF REVIEW

We aim to review evidence of the psychological impact of the COVID-19 pandemic on healthcare professionals and the effects of the psychological crisis interventions and measures implemented to manage stress.

RECENT FINDINGS

Mental health problems are frequently encountered in health professionals during emergencies and often prevail over the following years. Results show health professionals exhibited symptoms of depression, anxiety, emotional distress, burnout, post-traumatic stress and poor sleep quality. In response to acute responses to stress, it is crucial to provide psychoeducation, mindfulness and coping resources. These interventions can improve resilience and self-efficacy of professionals, as well as help to prevent anxiety, depression and quality of sleep. The need for intervention programmes targeting the mental health of vulnerable populations has been widely acknowledged. We described a psychological support plan designed and implemented with the aim of providing mental health care for health professionals. Such programmes should be easily accessible to professionals, preferably in their own work environments.

Pending challenges to e-mental health in the COVID-19 era: Acceptability of a smartphone-based ecological momentary assessment application among patients with schizophrenia spectrum disorders

Introduction

Concerns have been raised about ecological momentary assessment (EMA) acceptability among patients with schizophrenia spectrum disorders (SSD), which is of major relevance during the e-Mental health-focused COVID-19 pandemic.

Objectives

To investigate i) the levels of adherence to a passive smartphone-based EMA tool, the Evidence-Based Behavior (eB2), among SSD patients; and ii) putative predictors of this.

Methods

Sample: SSD (F20-29-ICD10) outpatients, age 18-64, without financial incentives, recruited over 17/06/2019-11/03/2020 at the Hospital Universitario Fundación Jiménez Díaz (Madrid, Spain). Those who accepted the eB2 installation -users- and those who did not -non-users- were compared in sociodemographic, clinical, premorbid adjustment, neurocognitive, psychopathological, insight and metacognitive variables by a multivariable binary logistic regression model.

Results

Sample (N=77): n=41 males; age: 47.69±9.76 years, n=24 users (31.2%). n=14 users (70%) had the eB2 installed at follow-up (median=14.50 weeks).

Multivariable binary logistic regression model on ‘user’ as outcome
	β	SE	Wald	p	OR	95% CI
Age	-0.075	0.038	3.910	0.048	0.928	0.861-0.999
Education level	-0.967	1.289	0.563	0.453	0.380	0.030-4.755
Early adolescence premorbid adjustment	-0.285	0.110	6.695	0.010	0.752	0.606-0.933
Trail Making Test A	-0.030	0.025	1.488	0.222	0.970	0.924-1.018
Trail Making Test B	-0.005	0.010	0.278	0.598	0.995	0.976-1.014
Cognitive Insight	0.062	0.061	1.043	0.307	1.064	0.944-1.200

X²=25.296,df=6,p<0.001. Nagelkerke-R²=44.7%. Correctly classified: 76.9%, users:54.5%, non-users:88.4%.

Conclusions

Acceptability of a smartphone-based EMA application among SSD patients was low. Age (young) and good premorbid adjustment predicted acceptability. e-Mental Health methods need to be tailored for patients with SSD. Otherwise, these highly vulnerable individuals may be neglected by e-health-based services in the post-COVID-19 years ahead.

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Can metacognitive interventions improve insight in schizophrenia spectrum disorders? A systematic review and meta-analysis

BACKGROUND

Patients with schizophrenia spectrum disorders (SSD) tend to lack insight, which is linked to poor outcomes. The effect size of previous treatments on insight changes in SSD has been small. Metacognitive interventions may improve insight in SSD, although this remains unproved.

METHODS

We carried out a systematic review and meta-analysis of randomized controlled trials (RCTs) to examine the effects of metacognitive interventions designed for SSD, namely Metacognitive Training (MCT) and Metacognitive Reflection and Insight Therapy (MERIT), on changes in cognitive and clinical insight at post-treatment and at follow-up.

RESULTS

Twelve RCTs, including 10 MCT RCTs (n = 717 participants) and two MERIT trials (n = 90), were selected, totalling N = 807 participants. Regarding cognitive insight six RCTs (n = 443) highlighted a medium effect of MCT on self-reflectiveness at post-treatment, d = 0.46, p < 0.01, and at follow-up, d = 0.30, p < 0.01. There was a small effect of MCT on self-certainty at post-treatment, d = -0.23, p = 0.03, but not at follow-up. MCT was superior to controls on an overall Composite Index of cognitive insight at post-treatment, d = 1.11, p < 0.01, and at follow-up, d = 0.86, p = 0.03, although we found evidence of heterogeneity. Of five MCT trials on clinical insight (n = 244 participants), which could not be meta-analysed, four of them favoured MCT compared v. control. The two MERIT trials reported conflicting results.

CONCLUSIONS

Metacognitive interventions, particularly Metacognitive Training, appear to improve insight in patients with SSD, especially cognitive insight shortly after treatment. Further long-term RCTs are needed to establish whether these metacognitive interventions-related insight changes are sustained over a longer time period and result in better outcomes.

Study protocol of a randomised clinical trial testing whether metacognitive training can improve insight and clinical outcomes in schizophrenia

BACKGROUND

Although insight in schizophrenia spectrum disorders (SSD) has been associated with positive outcomes, the effect size of previous treatments on insight has been relatively small to date. The metacognitive basis of insight suggests that metacognitive training (MCT) may improve insight and clinical outcomes in SSD, although this remains to be established.

METHODS

This single-center, assessor-blind, parallel-group, randomised clinical trial (RCT) aims to investigate the efficacy of MCT for improving insight (primary outcome), including clinical and cognitive insight, which will be measured by the Schedule for Assessment of Insight (Expanded version) (SAI-E) and the Beck Cognitive Scale (BCIS), respectively, in (at least) n = 126 outpatients with SSD at three points in time: i) at baseline (T0); ii) after treatment (T1) and iii) at 1-year follow-up (T2). SSD patients receiving MCT and controls attending a non-intervention support group will be compared on insight level changes and several clinical and cognitive secondary outcomes at T1 and T2, whilst adjusting for baseline data. Ecological momentary assessment (EMA) will be piloted to assess functioning in a subsample of participants.

DISCUSSION

To the best of our knowledge, this will be the first RCT testing the effect of group MCT on multiple insight dimensions (as primary outcome) in a sample of unselected patients with SSD, including several secondary outcomes of clinical relevance, namely symptom severity, functioning, which will also be evaluated with EMA, hospitalizations and suicidal behaviour.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT04104347. Date of registration: 26/09/2019 (Retrospectively registered).

Continuity of depressive disorders from childhood and adolescence to adulthood: a naturalistic study in community mental health centers

OBJECTIVE

To determine and compare rates of homotypic continuity of childhood- and adolescent-onset depression into adulthood.

METHOD

This was a naturalistic, prospective cohort study of children and adolescents receiving psychiatric care at all community mental health centers in Madrid, Spain, from January 1986 to December 2007. Data were obtained from a regional registry wherein all psychiatric visits to public mental health centers are recorded. Patients received their first diagnosis of an ICD-10 F32 or F33 depressive disorder between 6 and 17 years of age and were at least 20 years old at the time of their last visit. Subjects whose first diagnosis was in childhood (aged 6-12 years: depressed-child group) and subjects whose first diagnosis was in adolescence (aged 13-17 years: depressed-adolescent group) were compared in terms of demographic characteristics, psychiatric comorbidity, and rates of homotypic continuity in adulthood.

RESULTS

Five hundred twenty-eight patients with depressive disorders met inclusion criteria. The depressed-adolescent group had a higher proportion of girls (60.3%) compared to the depressed-child group, but did not differ on other demographic or clinical variables. Most subjects who later received treatment in adult mental health facilities (n = 243; 57.2%; 95% CI, 50.9-57.2) continued to be diagnosed with a depressive disorder. High rates of anxiety disorders, bipolar disorder, personality disorders, and psychotic disorders in adulthood were observed among subjects from both groups. The absence of psychiatric comorbidity prior to age 18 years was associated with homotypic continuity of depressive disorder into adulthood.

CONCLUSIONS

Subjects with adolescent-onset depression and subjects without comorbid psychiatric disorders in youth appear to have a higher level of homotypic continuity into adulthood. Both children and adolescents with depressive disorders are at risk for other psychiatric disorders in adulthood.