Cross-cultural validation and Spanish translation of the Boston Interview to evaluate severely obese patients seeking metabolic/bariatric surgery.

INTRODUCTION: obesity is a global health problem. Metabolic/Bariatric surgery (MBS) has proven to be one of the most effective methods for treating the most severe forms. However, a thorough evaluation and preparation of people seeking MBS is necessary. In Spain, there are no standardized interviews to carry out the psychosocial assessment of people seeking MBS. The Boston Interview for MBS (BIBS) is a recognized and flexible tool to evaluate the psychosocial factors. OBJECTIVE: to present the process of translation into Spanish and cross-cultural adaptation of the BIBS. MATERIALS AND METHODS: the reverse translation procedure was followed. To validate the translation, a multidisciplinary group of experts was formed. They were asked to rate the clarity of wording and cultural adaptation of the translation items. In addition, the translated interview was used to evaluate 173 patients seeking MBS who rated their satisfaction with the interview experience. RESULTS: the evaluation of the translation by a group of experts was favorable (global mode and median were 3-excellent, IQR of 1). The overall percentage agreement of the adequacy of "cultural adaptation" of the text was 85.8 % (95 % CI, 0.784, 0.932) and of the "clarity of wording" was 84.7 % (95 % CI, 0.7644; 0.9286). Furthermore, it was well accepted by the majority of the patients interviewed (p(50) 10 out of 10). CONCLUSIONS: the Spanish translation of the BIBS is available for the assessment of Spanish-speaking people seeking MBS. It was rated as having good fidelity to the original English version, and was deemed highly satisfactory by patients.

A feasibility study of a Smart screening tool for people at risk of mental health issues: Response rate, and sociodemographic and clinical factors.

BACKGROUND: The use of Smart Screening tools to identify mental health problems has scarce empirical data on their effectiveness. This study aims to explore the response rate of patients to this tool and observe their socio-demographic and healthcare characteristics, and the tool's ability to detect potential mental health diagnoses. METHODS: The study employed an online survey within patient portal from patients of four teaching hospitals in Madrid. The sample included 8749 patients, comprising 66.77 % females and 31.21 % middle-aged adults. RESULTS: 60.56 % responded to the Smart Screening tool. Respondents were found to be predominantly middle-aged women who had been contacted by mental health services multiple times but had not exhibited suicidal behaviour. These patients demonstrated a higher appointment attendance rate and generated low healthcare costs. The tool identified probable low depression and mild anxiety (72.16 %), and individuals aged 50-65 exhibited higher levels of mental health problems, such as psychosis and suicidality, although these results were not all significant regarding previous mental health diagnoses. LIMITATIONS: The Smart Screening tool collects anonymous online data through short questionnaires to apply sophisticated algorithms and determine probable mental health diagnoses. CONCLUSIONS: The response rate to the Smart Screening tool was higher than in previous studies. The respondents' profile was middle-aged and older women with moderate mental health problems, although suicidality was also identified. Future research should focus on those who did not respond to the tool and explore the link between previous psychiatric diagnoses and the accuracy of the Smart Screening tool.

Underdiagnosis, Undertreatment, and Noncompliance With Treatment in People Who Died by Suicide.

Background: This study explored the characteristics of people who die by suicide, comparing those who had depression with those who did not.Methods: Clinical data were collected through a postmortem proxy-based semistructured interview (psychological autopsy). Postmortem toxicological analysis provides data on the presence of substances or drugs in the blood of suicides. Participants were adults who died by suicide in the province of Seville, Spain, during 2006-2016. The main independent variables were previous diagnosis, postmortem diagnosis, prescribed treatment, and treatment found in blood. The primary outcome was the postmortem diagnosis of depression, after which the sample was divided into 2 groups according to DSM IV criteria to the presence or absence of major depressive episode (MDE).Results: Our sample is composed of 313 people, of which 200 (63.9%) had a diagnosis of MDE according to the psychological autopsy. Predeath diagnosis of depression was more frequent in MDE suicides than in non-MDE suicides (18.6% vs 3.5%, respectively; Χ2 = 23.420; df = 9; P = .005) and had more access to mental health treatment previous to death (67.7% vs 35.6%, respectively; Χ2 = 27.572; df = 1; P < .001). Antidepressants were prescribed in 21.5% of the MDE suicides, but only 8.5% of them were taking them at the time of death according to the toxicology exam.Conclusions: The underdiagnosis of depression in people who die by suicide is striking, as is the undertreatment. Further efforts must be made to train primary care physicians in the proper identification of persons at risk of suicide, as they are one of the main gatekeepers in the fight for suicide prevention.

Descriptive study on substance uses and risk of sexually transmitted infections in the practice of Chemsex in Spain.

Background: In recent years, there has been an increasing use of sex-related substances (known as "Chemsex") to facilitate, intensify, and prolong the sexual experience of men who have sex with men. This phenomenon poses a public health problem, increasing the risk of sexually transmitted infections (STIs) and mental disorders. Objective: The primary aim of this study was to delve into the correlation between substance use and sexual health, specifically examining the association between different substances used and the risk of sexually transmitted infections (STIs) in the context of Chemsex in Spain. Methods: An observational, descriptive, cross-sectional study was conducted among 563 Spanish participants between January and April 2023. Non-probabilistic purposive sampling was used by the investigators. The researchers administered a questionnaire to men who have sex with men who use substances, especially in the sexual sphere, in all the autonomous communities of Spain. Results: 14.7% reported having practiced slamsex in the last year, and 17.94% were diagnosed with a Sexually Transmitted Infection in the previous 6 months. Of these, 21% were on PREP treatment, with the main STIs being gonorrhea (p < 0.001), chlamydia (p < 0.001), genital herpes (p = 0.020), and syphilis (p < 0.001). The 63.7% used methamphetamines as the main drug in the practice of chemsex. Discussion: Chemsex in Spain is linked to a high prevalence of STIs, especially gonorrhea and chlamydia, even among those on PrEP treatment. The use of various drugs during chemsex, such as amyl nitrite, GHB, ecstasy, and others, correlates with higher rates of STIs, highlighting the need for interventions to reduce risk and harm. The drugs most associated with slamsex include ketamine, mephedrone, and methamphetamine, underscoring the importance of addressing the risk behaviors associated with this activity. Conclusion: This study shows that chemsex appears to be associated with a high prevalence among men who have sex with men. Who use multiple substances in a sexual context, and are particularly exposed to sexually transmitted infections (STIs), indicating a particular need for STI prevention and care in this group.

Examining the relationship between COVID-19 and suicide in media coverage through Natural Language Processing analysis

Background and objectives Suicide is a major public health concern, media can influence its awareness, contagion, and prevention. In this study, we evaluated the relationship between the COVID-19 pandemic and suicide in media coverage through Natural Language Processing analysis (NPL). Methods To study how suicide is depicted in news media, Artificial Intelligence and Big Data techniques were used to analyze news and tweets, to extract or classify the topic to which they belonged. Results A granger causality analysis showed with significant p-value that an increase in covid news at the beginning of the pandemic explains a later rise in suicide-related news. An analysis based on correlation and structural causal models show a strong relationship between the appearance of subjects “health” and “covid”, and also between “covid” and “suicide”. Conclusions Our analysis also uncovers that the inclusion of suicide-related news in the category health has grown since the outbreak of the pandemic. The COVID-19 pandemic has posed an inflection point in the way suicide-related news are reported. Our study found that the increased media attention on suicide during the COVID-19 pandemic may indicate rising social awareness of suicide and mental health, which could lead to the development of new prevention tools. (AU)

Trayectorias diagnósticas de los trastornos mentales en 10 años de seguimiento de una cohorte de niños y adolescentes / Diagnostic trajectories of mental disorders in a 10-year follow-up cohort of children and adolescents

Los trastornos psiquiátricos en la infancia y adolescencia pueden persistir, cambiar, remitir o aumentar en la edad adulta. Este estudio explora la estabilidad y las trayectorias diagnósticas de 311 niños y adolescentes entre 3 y 17 años hasta la edad adulta. Se encuentra que la estabilidad diagnóstica varía en función de la enfermedad. Los cambios de diagnóstico son más frecuentes en el trastorno de conducta y los trastornos afectivos, mientras que la mayor estabilidad diagnóstica se da en las dificultades del aprendizaje, trastorno de déficit de atención con hiperactividad y trastornos del espectro autista. La remisión completa es más frecuente en los trastornos de ansiedad. Los diagnósticos psiquiátricos tienen implicaciones sociales, emocionales y prácticas. Es necesario adaptar los recursos de salud mental a las necesidades de cada grupo de edad. (AU)

Psychiatric disorders in childhood and adolescence may persist, change, remit or increase in adulthood. This study explores the diagnostic stability and trajectories of 311 children and adolescents aged 3-17 years into adulthood. Diagnostic stability is found to vary according to pathology. Diagnostic changes are more frequent in conduct disorder and affective disorders, while the highest diagnostic stability was found in learning difficulties, attention deficit learning disabilities, attention deficit hyperactivity disorder and autism spectrum disorders. Complete remission is more frequent in anxiety disorders. Psychiatric diagnoses have social, emotional and practical implications. Mental health resources need to be adapted to the needs of each age group. (AU)

Perceived Stressful Life Events and Suicide Risk in Adolescence: The Mediating Role of Perceived Family Functioning.

AIM: Suicidal behavior is a serious public health problem and a major cause of death among adolescents. Three categories of major risk factors have been identified: psychological factors, stressful life events, and personality traits. Severe and objective stressful life events (SLEs), such as childhood mistreatment or abuse, have been clearly associated with higher rates of suicide risk. However, the relationship between suicide risk and adolescents' perceptions of the SLE impact is not as clear. This paper studies the relationship between SLE impact perception and suicide risk and the possible mediating role of perceived family functioning in this relationship. The need for longer-term or more intense psychological or psychiatric treatment in relation to SLE impact perception is also addressed. METHOD: One hundred forty-seven adolescents aged 11-17 were consecutively recruited from the Child and Adolescent Mental Health Outpatient Services Department of a general hospital in Madrid, Spain. Self-informed questionnaires were used to assess suicide risk, SLEs, and family functioning. In addition, the clinical records of the participants were consulted to collect information about their treatment histories, including the number of appointments and the duration of follow-up. RESULTS: SLE impact perception correlates significantly with suicide risk, the number of clinical appointments, the duration of treatment, and the perceived level of family functioning. The mediation model of the family functioning perception variable in the relationship between SLE impact perception and suicide risk is significant. The linear regression model of SLE impact perception and family functioning perception on suicide risk is also significant, accounting for 25.7% of the variance. CONCLUSIONS: Beyond the clear and proven effect of serious and objective SLEs, the perceived impact of SLEs reported by adolescents is related to an increased risk of suicide and more intense psychological and/or psychiatric follow-up. This relationship is mediated by the perceived level of family functioning. Adolescents' perceptions of their life experiences and perceived family support may be key determinants of suicide risk prevention.

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.

Preliminary data from a 4-year mirror-image and multicentre study of patients initiating paliperidone palmitate 6-monthly long-acting injectable antipsychotic: the Paliperidone 2 per Year study.

Background: Paliperidone palmitate 6-monthly (PP6M) is the first long-acting antipsychotic injectable (LAI) to allow for only two medication administrations per year, though there is presently limited insight into its effectiveness and potential added value in real clinical practice conditions. Objectives: To present our ongoing study and draw its preliminary data on patient characteristics initiating PP6M and adherence during the first year of treatment. Methods: The paliperidone 2 per year (P2Y) study is a 4-year, multicentre, prospective mirror-image pragmatic study taking place at over 20 different sites in Europe. The mirror period covers 2 years either side of the PP6M LAI initiation. Retrospective data for the previous 2 years are collected for each patient from the electronic health records. Prospective data are recorded at baseline, 6, 12, 18 and 24 months of drug administration and also cover information on concomitant psychiatric medication, relapses, hospital admissions, side effects, discontinuation and its reasons. Meanwhile, here we present preliminary data from the P2Y study at basal and 6-month period (first and second PP6M administration). Results: At the point of PP6M initiation, the most frequent diagnosis was schizophrenia (69%), the clinical global impression scale mean score was 3.5 (moderately markedly ill) and the rate of previous hospital admissions per patient and year was 0.21. PP6M was initiated after a median of 3-4 years on previous treatment: 146 (73%) from paliperidone palmitate 3-monthly, 37 (19%) from paliperidone palmitate 1-monthly and 17 (9%) from other antipsychotics. The mean dose of the first PP6M was 1098.9 mg. The retention rate at 6 months and 1 year of treatment on PP6M in our cohort was 94%. Conclusion: Patient and clinician preference for LAIs with longer dosing intervals was the main reason for PP6M initiation/switching resulting in high treatment persistence. Future data are needed to evaluate the full impact of PP6M in clinical practice.

Application of the Delphi Method for Content Validity Analysis of a Questionnaire to Determine the Risk Factors of the Chemsex.

Chemsex is understood as "the intentional use of stimulant drugs to have sex for an extended time among gay, bisexual, and other men who have sex with men". It is a public health problem because of the increased incidence of cases and because of the consequences on the physical and mental health of those who practice it. AIM: This study aimed to analyze, with the help of the Delphi method, the content validity of a new instrument to assess the risk of behaviors associated with the chemsex phenomenon. METHOD: First, a bank of items identified from the literature was elaborated. Secondly, 50 experts with knowledge of the chemsex phenomenon at the national level were contacted. A Delphi group was formed with them to carry out two rounds of item evaluation. The linguistic evaluation (comprehension and appropriateness) was assessed using a Likert scale from 1 to 5 for each item. Items that did not reach a mean score of 4 were eliminated. Content assessment was calculated using each item's content validity index (CVI) and Aiken's V (VdA). A minimum CVI and VdA value of 0.6 was established to include the items in the questionnaire. RESULTS: A total of 114 items were identified in the literature. In the first round of Delphi evaluation, 36 experts evaluated the items. A total of 58 items were eliminated for obtaining a CVI or VdA of less than 0.6, leaving 56 items. In a second Delphi round, 30 experts re-evaluated the 56 selected items, where 4 items were eliminated for being similar, and 10 items were also eliminated for not being relevant to the topic even though they had values higher than 0.6, leaving the scale finally composed of 52 items. CONCLUSION: A questionnaire has been designed to assess the risk of behaviors associated with the chemsex phenomenon. The items that make up the questionnaire have shown adequate content and linguistic validity. The Delphi method proved to be a helpful technique for the proposed objective.

Understanding the potential of digital therapies in implementing the standard of care for depression in Europe.

Depressive disorders represent the largest proportion of mental illnesses, and by 2030, they are expected to be the first cause of disability-adjusted life years [1]. The COVID-19 pandemic exacerbated prevalence and burden of depression and increased the occurrence of depressive symptoms in general population [2]. The urgency of implementing mental health services to address new barriers to care persuaded clinicians to use telemedicine to follow patients and stay in touch with them, and to explore digital therapeutics (DTx) as potential tools for clinical intervention [2]. The combination of antidepressants and psychotherapy is widely recommended for depression by international guidelines [3] but is less frequently applied in real-world practice. Commonly used treatments are pharmacological, but while being effective, some aspects such as adherence to the drug regimen, residual symptoms, resistance, lack of information, and stigma may hinder successful treatment. In case of less severe depression, standalone psychological therapies should be the first-line treatment option [3], but access to trained psychotherapists remains inequitable. DTx are evidence-based therapies driven by software programs to treat or complement treatment of a specific disease. DTx are classified as Medical Devices, and given their therapeutic purpose, they need to be validated through randomized controlled clinical trials, as for drug-based therapies. In the last 10 years, studies of digital interventions have proliferated; these studies demonstrate that digital interventions increase remission rates and lower the severity of depressive symptoms compared with waitlist, treatment as usual, and attention control conditions [4]. Despite the efficacy demonstrated in clinical trials, many of these tools never reach real-life patients; thus, it might be necessary to implement DTx in the public health system to expand access to valid treatment options. In this framework, DTx represent a good opportunity to help people with depression receive optimal psychotherapeutic care [5].

Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study.

BACKGROUND: Functional limitations are associated with poor clinical outcomes, higher mortality, and disability rates, especially in older adults. Continuous assessment of patients' functionality is important for clinical practice; however, traditional questionnaire-based assessment methods are very time-consuming and infrequently used. Mobile sensing offers a great range of sources that can assess function and disability daily. OBJECTIVE: This work aims to prove the feasibility of an interpretable machine learning pipeline for predicting function and disability based on the World Health Organization Disability Assessment Schedule (WHODAS) 2.0 outcomes of clinical outpatients, using passively collected digital biomarkers. METHODS: One-month-long behavioral time-series data consisting of physical and digital activity descriptor variables were summarized using statistical measures (minimum, maximum, mean, median, SD, and IQR), creating 64 features that were used for prediction. We then applied a sequential feature selection to each WHODAS 2.0 domain (cognition, mobility, self-care, getting along, life activities, and participation) in order to find the most descriptive features for each domain. Finally, we predicted the WHODAS 2.0 functional domain scores using linear regression using the best feature subsets. We reported the mean absolute errors and the mean absolute percentage errors over 4 folds as goodness-of-fit statistics to evaluate the model and allow for between-domain performance comparison. RESULTS: Our machine learning-based models for predicting patients' WHODAS functionality scores per domain achieved an average (across the 6 domains) mean absolute percentage error of 19.5%, varying between 14.86% (self-care domain) and 27.21% (life activities domain). We found that 5-19 features were sufficient for each domain, and the most relevant being the distance traveled, time spent at home, time spent walking, exercise time, and vehicle time. CONCLUSIONS: Our findings show the feasibility of using machine learning-based methods to assess functional health solely from passively sensed mobile data. The feature selection step provides a set of interpretable features for each domain, ensuring better explainability to the models' decisions-an important aspect in clinical practice.

Coexistence of different delusional misidentification syndromes in clinical practice: A case series.

OBJECTIVE: The objective of this study is to analyse the coexistence of several delusional misidentification syndromes in a clinical sample. METHODS: Over one year, a sample of six patients presenting two or more types of delusional misidentification syndromes was selected. All these patients were admitted to the psychiatric inpatient unit of a Spanish hospital. RESULTS: Despite the different diagnoses, the patients included presented different types of delusional misidentification syndromes, both hyperidentification and hypoidentification. Antipsychotic treatment was not very effective against these delusional misidentification syndromes. CONCLUSIONS: The coexistence of several delusional misidentification syndromes indicates that the aetiopathogenesis of the different types is similar. It is a field with important clinical implications, due to the poor response to treatment, as well as the possible medico-legal implications.

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.