Digital Platform for the Prevention of Suicidal Behaviour and Non-Suicidal Self-Injuries in Adolescents: The SmartCrisis-Teen Study Protocol.

Suicidal behavior and Non-Suicidal Self-Injuries (NSSIs) are a major health problem in the adolescent population. New technologies can contribute to the development of innovative interventions in suicide prevention. Here, we present the SmartCrisis-Teen study protocol. The study consists of a randomized clinical trial which aims to evaluate the effectiveness of a digital safety plan to prevent suicidal behavior and NSSIs in adolescents. This is a multicentric study which will be conducted among the adolescent population, both in clinical and student settings, with a target sample of 1080 participants. The intervention group will receive an Ecological Momentary Intervention (EMI) consisting of a digital safety plan on their mobile phone. All participants will receive their Treatment As Usual (TAU). Participants will be followed for six months, with weekly and monthly telephone visits and face-to-face visits at three and six months. Participants will be assessed using traditional questionnaires as well as Ecological Momentary Assessment (EMA) and Implicit Association Tests (IATs). With this intervention, we expect a reduction in NSSIs through the acquisition of coping strategies and a decrease in suicidal behavior over the course of follow-up. This study provides a novel, scalable digital intervention for preventing suicidal behavior and NSSIs in adolescents, which could contribute to improving adolescent mental health outcomes globally.

Predictors of clinical insight in first-episode psychosis: Different patterns in men and women.

BACKGROUND: We aimed to explore gender-related differences in the associations of insight impairment with clinical symptoms, metacognition, and social cognition in psychosis. METHODS: Regression analysis of several clinical insight dimensions was conducted on the data from 116 men and 56 women with first-episode psychosis. Various clinical symptoms and measures of metacognition and social cognition were entered as predictors. RESULTS: In both men and women, delusions emerged as a strong predictor of all insight dimensions, and verbal hallucinations as a strong predictor of symptom relabelling. In men, certain negative symptoms as well as self-certainty, lack of self-reflectiveness, impaired theory of mind, attributional biases, and a jumping-to-conclusions bias were additional predictors of poor insight, while good insight was associated with depression, anxiety, avolition, blunted affect, and impaired emotional recognition. In women, poor insight was associated with a self-serving/externalising bias, impaired emotional recognition, and attention disorders. CONCLUSIONS: Poor insight in first-episode psychosis is strongly linked to deficits in metacognition and social cognition, with marked differences between men and women with respect to the specific skills involved in the impairment. Meanwhile, good insight is linked to a variety of affective manifestations in men. These findings suggest new avenues for more targeted cognitive interventions to improve clinical insight in psychosis.

Neuropsychological profiles in first-episodes psychosis and their relationship with clinical, metacognition and social cognition variables.

An increasing interest in the assessment of neuropsychological performance variability in people with first-episode psychosis (FEP) has emerged. However, its association with clinical and functional outcomes requires further study. Furthermore, FEP neuropsychological subgroups have not been characterized by clinical insight or metacognition and social cognition domains. The aim of this exploratory study was to identify specific groups of patients with FEP based on neuropsychological variables and to compare their sociodemographic, clinical, metacognition and social cognition profiles. A sample of 149 FEP was recruited from adult mental health services. Neuropsychological performance was assessed by a neuropsychological battery (WAIS-III; TMT; WSCT; Stroop Test; TAVEC). The assessment also included sociodemographic characteristics, clinical, functional, metacognition and social cognition variables. Two distinct neuropsychological profiles emerged: one neuropsychological impaired cluster (N = 56) and one relatively intact cluster (N = 93). Significant differences were found between both profiles in terms of sociodemographic characteristics (age and level of education) (p = 0.001), clinical symptoms (negative, positive, disorganized, excitement and anxiety) (p = 0.041-0.001), clinical insight (p = 0.038-0.017), global functioning (p = 0.014), as well as in social cognition domains (emotional processing and theory of mind) (p = 0.001; p = 0.002). No significant differences were found in metacognitive variables (cognitive insight and 'jumping to conclusions' bias). Relationship between neurocognitive impairment, social cognition and metacognition deficits are discussed. Early identifying of neuropsychological profiles in FEP, characterized by significant differences in clinical and social cognition variables, could provide insight into the prognosis and guide the implementation of tailored early-intervention.

The influence of gender in cognitive insight and cognitive bias in people with first-episode psychosis: an uncontrolled exploratory analysis.

PURPOSE: Previous studies have investigated the role of gender in clinical symptoms, social functioning, and neuropsychological performance in people with first-episode psychosis (FEP). However, the evidence of gender differences for metacognition in subjects with FEP is still limited and controversial. The aim of the present study was to explore gender differences in cognitive insight and cognitive biases in this population. METHODS: Cross-sectional study was carried out in a sample of 104 patients with FEP (35 females and 69 males) recruited from mental health services. Symptoms were assessed with the Positive and Negative Syndrome Scale, cognitive insight with the Beck Cognitive Insight Scale, and cognitive bias by the Cognitive Biases Questionnaire for Psychosis. The assessment also included clinical and sociodemographic characteristics. RESULTS: After controlling for potential confounders (level of education, marital status, and duration of psychotic illness) analysis of covariance revealed that males presented greater self-reflectiveness (p = 0.004) when compared to females. However, no significant differences were found in self-certainty and composite index of the cognitive insight scale, as in the cognitive biases assessed. CONCLUSIONS: Gender was an independent influence factor for self-reflectiveness, being better for males. Self-reflectiveness, if shown to be relatively lacking in women, could contribute to the design of more gender-sensitive and effective psychotherapeutic treatments, as being able to self-reflect predicts to better treatment response in psychosis.

Cognitive insight in first-episode psychosis: Exploring the complex relationship between executive functions and social cognition.

Social cognition (SC) and executive function (EF) have been described as important variables for social functioning and recovery of patients with psychosis. However, the relationship between SC and EF in first-episode psychosis (FEP) deserves further investigation, especially focusing on gender differences. AIMS: To investigate the relationship between EF and different domains of SC in FEP patients and to explore gender differences in the relationship between these domains. METHODS: A cross-sectional study of 191 patients with new-onset psychosis recruited from two multicenter clinical trials. A comprehensive cognitive battery was used to assess SC (Hinting Task, Face Test and IPSAQ) and EF (TMT, WSCT, Stroop Test and digit span - WAIS-III). Pearson correlations and linear regression models were performed. RESULTS: A correlation between Theory of Mind (ToM), Emotional Recognition (ER) and EF was found using the complete sample. Separating the sample by gender showed different association profiles between these variables in women and men. CONCLUSIONS: A relationship between different domains of SC and EF is found. Moreover, women and men presented distinct association profiles between EF and SC. These results should be considered in order to improve the treatment of FEP patients and designing personalized interventions by gender.

Perceived burdensomeness, thwarted belongingness, and hopelessness as predictors of future suicidal ideation in Spanish university students.

The Interpersonal Theory of Suicide (IPTS) has received support for its role in understanding suicidal thoughts and behaviors. However, few longitudinal studies have focused on testing this theory in university students. The present study aimed to confirm the theoretical model of the IPTS in a sample of 225 Spanish university students, using path analysis in a longitudinal study. We assessed thwarted belongingness and perceived burdensomeness at T1 and hopelessness and suicidal ideation at T2, 12-14 weeks later. Moreover, we assessed suicidal ideation weekly for 14 weeks. Path analyses confirmed the Interpersonal Theory of Suicide model, with thwarted belongingness and perceived burdensomeness as direct and indirect predictors of suicidal ideation through hopelessness. Providers of guidance and clinical services in university settings should be trained to identify perceived burdensomeness, social belongingness, hopelessness, and suicidal ideation when screening for suicide prevention.

Smartphone-based safety plan for suicidal crisis: The SmartCrisis 2.0 pilot study.

Here we present the findings of the pilot phase of the SmartCrisis 2.0 Randomized Clinical Trial. This pilot study aimed to explore the feasibility and acceptability of a safety plan contained in a smartphone app. Our sample consisted patients with a history of recent suicidal behaviour who installed a smartphone-based safety plan. To explore the satisfaction with of the safety plan, two patient satisfaction surveys were conducted: one qualitative and one quantitative. To explore the objective use of the safety plan, we gained access to texts contained in the safety plans completed by the patients. Participation rate was 77%, while 48.9% patients completed both satisfaction surveys at the end of the pilot phase. N = 105 successfully installed the safety plan. In a scale from 1 to 10, users rated the usefulness of the security plan at 7.4, the usability at 8.9, the degree to which they would recommend it to others at 8.6 and the overall satisfaction with the project including evaluations at 9.6. The most widely completed tab was warning signs. Feeling sad or lonely was the warning sign most commonly reported by patients. The second most completed tab was internal coping strategies. Walking or practicing any other exercise was the strategy most commonly resorted to. Our smartphone-based safety plan appears to be a feasible intervention. Data obtained from this pilot study showed high participation rates and high acceptability by patients. This, together with the general satisfaction with the project, supports its implementation in the clinical practice.

One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study.

BACKGROUND: Suicide is a major global public health issue that is becoming increasingly common despite preventive efforts. Though current methods for predicting suicide risk are not sufficiently accurate, technological advances provide invaluable tools with which we may evolve toward a personalized, predictive approach. OBJECTIVE: We aim to predict the short-term (1-week) risk of suicide by identifying changes in behavioral patterns characterized through real-time smartphone monitoring in a cohort of patients with suicidal ideation. METHODS: We recruited 225 patients between February 2018 and March 2020 with a history of suicidal thoughts and behavior as part of the multicenter SmartCrisis study. Throughout 6 months of follow-up, we collected information on the risk of suicide or mental health crises. All participants underwent voluntary passive monitoring using data generated by their own smartphones, including distance walked and steps taken, time spent at home, and app usage. The algorithm constructs daily activity profiles for each patient according to these data and detects changes in the distribution of these profiles over time. Such changes are considered critical periods, and their relationship with suicide-risk events was tested. RESULTS: During follow-up, 18 (8%) participants attempted suicide, and 14 (6.2%) presented to the emergency department for psychiatric care. The behavioral changes identified by the algorithm predicted suicide risk in a time frame of 1 week with an area under the curve of 0.78, indicating good accuracy. CONCLUSIONS: We describe an innovative method to identify mental health crises based on passively collected information from patients' smartphones. This technology could be applied to homogeneous groups of patients to identify different types of crises.

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.

Relationship between cognition and suicidal behavior in recent-onset psychosis.

Suicidal behavior (SB) is common in first-episode psychosis (FEP), and cognitive impairment has also been described in psychosis. Despite well-established risk factors for SB in psychosis, the role of cognition and insight remains unclear. This study aimed to explore the relationship between history of SB and cognition in recent-onset FEP, distinguishing between neurocognition, social cognition, and metacognition, and including cognitive insight (CI) as a metacognitive variable. The sample consisted of 190 participants with recent-onset FEP recruited from two multicentric studies. Two groups were formed based on presence/absence of a history of SB. Demographic, clinical, and cognitive data were compared by group, including significance level adjustments and size effect calculation. No differences were found regarding demographic, clinical, neurocognitive, social cognition, and metacognitive variables except for CI (18.18 ± 4.87; t = -3.16; p = 0.0020; d = -0.635), which showed a medium effect size. Small to medium effect size were found for attributional style (externalizing bias) (1.15 ± 3.94; t = 2.07; d = 0.482), theory of mind (ToM) (1.73 ± 0.22; t = 2.04; d = -0.403), jumping to conclusions bias (JTC) (23.3 %; X2 = 0.94; V = 0.178). In recent-onset psychosis, neurocognitive functioning was not related to the history of SB. As novelty, individuals with previous SB showed higher CI. Also, regarding social cognition and metacognition, individuals with prior SB tended to present extremely low externalizing bias, better ToM, and presence of JTC.

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.

A One-Year Follow Up Study on Disability in Mental Health Nursing Practice.

Disability is common in patients with mental disorders, and therapeutic approaches should promote functional recovery to achieve the highest quality of life. This study reports changes in WHODAS 2.0 scores at 1 year of follow-up among patients receiving care from a single mental-health nurse in a community setting in Spain and compare these changes by diagnosis (SMI vs. CMI). Baseline and 1-year follow-up scores were compared. For all participants, we collected sociodemographic information, clinical diagnosis, and disability scores according to WHODAS 2.0. Participating patients received the usual, non-manualized nursing intervention. Our sample comprised 133 patients, 75 of whom were assessed after 1 year. All patients had improved WHODAS 2.0 scores (difference of 9.20 ± 2.42; p < .001) in all domains except those domains related to work ("Life activities") and relationships ("Getting along"). Furthermore, almost half of the patients studied were no longer undergoing treatment with the nurse at 1-year follow-up.

Six-Month Clinical and Ecological Momentary Assessment Follow-Up of Patients at High Risk of Suicide: A Survival Analysis.

Objective: In this study, we combined ecological momentary assessment (EMA) with traditional clinical follow-up to explore correlates of suicidal relapse in patients with a history of suicidal behavior.Methods: Over 6 months, we followed up with 393 patients who completed baseline and follow-up interviews and were monitored through smartphone-based EMA via the MEmind app. Recruitment was conducted between February 2018 and March 2020. We recorded the occurrence of clinical suicidal events and EMA suicidal events, the latter defined as extreme scores on questions on passive suicide ideation.Results: Fifteen percent of participants had a new clinical suicidal event during follow-up (9.2% suicide attempt [SA]; 5.9% emergency referral for suicidal ideation [SI]). Of the 319 participants who installed the MEmind app, 20.7% presented with EMA suicidal events. EMA suicidal events were statistically significantly associated with clinical suicidal events at 2-month follow-up but not at 6-month follow-up. In the Cox multivariate regression model, 5 factors were independently associated with clinical suicidal events: number of previous SAs, SA in the past year, SA in the past month (risk factors), female gender, and age (protective factors).Conclusions: Our study confirms some of the risk factors classically associated with risk of suicide reattempt, such as history of suicidal behavior, while questioning others, such as female gender. Risk factors associated with EMA events differed from risk factors associated with traditional clinical suicide events, supporting the existence of distinct suicidal phenotypes.

Is Metacognitive Training effective for improving neurocognitive function in patients with a recent onset of psychosis?

The aims are to assess improvements in memory, attention and executive function in first-episode psychosis after Metacognitive Training (MCT). A multicenter randomized clinical trial was performed with two arms: MCT and psychoeducational intervention. A total of 126 patients with a diagnosis of psychosis, less than 5 years from the onset of the disease, were included. Patients were assessed two or three moments (baseline, post-treatment, 6 months follow-up) depending on the test, with a battery of neurocognitive tests (TAVEC, TMTA-B, CPT, WCST, Stroop and premorbid IQ). General linear models for repeated measures were performed.  A better improvement in the MCT was found by an interaction between group and time in CPT Hit index, TMTB, Stroop, recent memory and number of perseverations of the TAVEC. Considering three assessments, a better improvement was found in non-perseverative, perseverative and total errors of the WCST and TMTB. The MCT is an effective psychological intervention to improve several cognitive functions.

Comparison of disability between common mental disorders and severe mental disorders using WHODAS 2.0.

INTRODUCTION: Mental disorders are among the leading causes of disability worldwide. Despite the fact that severe mental disorders (SMD) are associated with high disability, the impact of common mental disorders (CMD) is not negligible. In this work, we compare the disability measured with the WHODAS 2.0 scale of both diagnostic groups at the Mental Health Nurse facility. MATERIAL AND METHODS: Sociodemographic data, clinical diagnosis and disability scores were collected, using the WHODAS 2.0 scale, of the patients attended by the Mental Health specialist nurse at the Infanta Elena de Valdemoro Hospital (Madrid) and disability was compared in patients with SMD and CMD, using the Student t test. RESULTS: Our study sample consisted of 133 patients. Patients with CMD showed greater disability compared to patients with SMD. It was observed that the disability associated with CMD is higher, compared to SMD, this difference being significant for the domain of work (p < 0.001) and participation in society (p = 0.041). CONCLUSIONS: In this study we showed that the level of disability associated with CMD was higher in certain areas compared to SMD, this difference was of special relevance for the «Work¼ and «Participation¼ domains. This may serve to adapt the interventions aimed at these people and improve their quality of life.

Influence of Maternal and Paternal History of Mental Health in Clinical, Social Cognition and Metacognitive Variables in People with First-Episode Psychosis.

This study investigates, for the first time, clinical, cognitive, social cognitive and metacognitive differences in people diagnosed with first-episode of psychosis (FEP) with and without a family history of mental disorder split by maternal and paternal antecedents. A total of 186 individuals with FEP between 18 and 45 years old were recruited in community mental-health services. A transversal, descriptive, observational design was chosen for this study. Results suggest that there is a higher prevalence of maternal history of psychosis rather than paternal, and furthermore, these individuals exhibit a specific clinical, social and metacognitive profile. Individuals with a maternal history of mental disorder scored higher in delusional experiences, inhibition of the response to a stimulus and higher emotional irresponsibility while presenting a poorer overall functioning as compared to individuals without maternal history. Individuals with paternal history of mental disorder score higher in externalizing attributional bias, irrational beliefs of need for external validation and high expectations. This study elucidates different profiles of persons with FEP and the influence of the maternal and paternal family history on clinical, cognitive, social and metacognitive variables, which should be taken into account when offering individualized early treatment.

Smartphone-based Ecological Momentary Intervention for secondary prevention of suicidal thoughts and behaviour: protocol for the SmartCrisis V.2.0 randomised clinical trial.

INTRODUCTION: Suicide is one of the leading public health issues worldwide. Mobile health can help us to combat suicide through monitoring and treatment. The SmartCrisis V.2.0 randomised clinical trial aims to evaluate the effectiveness of a smartphone-based Ecological Momentary Intervention to prevent suicidal thoughts and behaviour. METHODS AND ANALYSIS: The SmartCrisis V.2.0 study is a randomised clinical trial with two parallel groups, conducted among patients with a history of suicidal behaviour treated at five sites in France and Spain. The intervention group will be monitored using Ecological Momentary Assessment (EMA) and will receive an Ecological Momentary Intervention called 'SmartSafe' in addition to their treatment as usual (TAU). TAU will consist of mental health follow-up of the patient (scheduled appointments with a psychiatrist) in an outpatient Suicide Prevention programme, with predetermined clinical appointments according to the Brief Intervention Contact recommendations (1, 2, 4, 7 and 11 weeks and 4, 6, 9 and 12 months). The control group would receive TAU and be monitored using EMA. ETHICS AND DISSEMINATION: This study has been approved by the Ethics Committee of the University Hospital Fundación Jiménez Díaz. It is expected that, in the near future, our mobile health intervention and monitoring system can be implemented in routine clinical practice. Results will be disseminated through peer-reviewed journals and psychiatric congresses. Reference number EC005-21_FJD. Participants gave informed consent to participate in the study before taking part. TRIAL REGISTRATION NUMBER: NCT04775160.

Clinical insight in first-episode psychosis: Clinical, neurocognitive and metacognitive predictors.

OBJECTIVE: Poor insight is a major problem in psychosis, being detrimental for treatment compliance and recovery. Previous studies have identified various correlates of insight impairment, mostly in chronic samples. The current study aimed to determine clinical, neurocognitive, metacognitive, and socio-cognitive predictors of insight in first-episode psychosis. METHODS: Regression analyses of different insight dimensions were conducted in 190 patients with first-episode psychosis. Measures of clinical symptoms, neurocognition, metacognition, social cognition, and 'jumping to conclusions' bias were entered as predictors. RESULTS: Delusions, disorganisation, and certain negative symptoms were associated with unawareness in various domains, while depression was associated with greater awareness of illness. Deficit in theory of mind and self-reflective processes, as well as a 'jumping to conclusions' bias, contributed to poor insight. Several neuropsychological scores also contributed to this but their contribution was no longer observed in regression analyses that included all the previously identified clinical and cognitive predictors. A measure of perseverative errors was still associated with unawareness and misattribution of symptoms. CONCLUSION: In models that account for 28 % to 50 % of the variance, poor insight in first-episode psychosis is mainly associated with delusions and certain negative symptoms. At the cognitive level it does not appear to result from neuropsychological impairment but rather from altered reasoning bias and dysfunction in metacognitive processes. Therapeutic strategies specifically directed at these mechanisms could help improve the evolution of insight in first episode psychosis.

Virtual reality and speech analysis for the assessment of impulsivity and decision-making: protocol for a comparison with neuropsychological tasks and self-administered questionnaires.

INTRODUCTION: Impulsivity is present in a range of mental disorders and has been associated with suicide. Traditional measures of impulsivity have certain limitations, such as the lack of ecological validity. Virtual reality (VR) may overcome these issues. This study aims to validate the VR assessment tool 'Spheres & Shield Maze Task' and speech analysis by comparing them with traditional measures. We hypothesise that these innovative tools will be reliable and acceptable by patients, potentially improving the simultaneous assessment of impulsivity and decision-making. METHODS AND ANALYSIS: This study will be carried out at the University Hospital Fundación Jiménez Díaz (Madrid, Spain). Our sample will consist of adults divided into three groups: psychiatric outpatients with a history of suicidal thoughts and/or behaviours, psychiatric outpatients without such a history and healthy volunteers. The target sample size was established at 300 participants (100 per group). Participants will complete the Barratt Impulsiveness Scale 11; the Urgency, Premeditation, Perseverance, Sensation Seeking, Positive Urgency, Impulsive Behaviour Scale; Iowa Gambling Task; Continuous Performance Test; Stop signal Task, and Go/no-go task, three questions of emotional affect, the Spheres & Shield Maze Task and two satisfaction surveys. During these tasks, participant speech will be recorded. Construct validity of the VR environment will be calculated. We will also explore the association between VR-assessed impulsivity and history of suicidal thoughts and/or behaviour, and the association between speech and impulsivity and decision-making. ETHICS AND DISSEMINATION: This study was approved by the Ethics Committee of the University Hospital Fundación Jiménez Díaz (PIC128-21_FJD). Participants will be required to provide written informed consent. The findings will be presented in a series of manuscripts that will be submitted to peer-reviewed journals for publication. TRIAL REGISTRATION NUMBER: NCT05109845; Pre-results.