Comparing frequencies of adolescent suicide attempters pre- and during COVID-19 pandemic school terms.

BACKGROUND: The COVID-19 pandemic had and still have a major impact on adolescent mental health and consequently on suicidal behavior. However, few studies have investigated whether the pandemic has changed the patterns and the triggers of suicidality peaks in adolescents, e.g., seasonal patterns or family conflicts. We hypothesized that the pandemic modified suicidality rates: an increment of suicide attempts would be observed in the first semester of the academic year during COVID-19 pandemic compared to the same period of previous academic year; and the precipitating factors would be more related to social stressors during the pandemic school year. METHODS: A retrospective cross-sectional study was conducted to assess the precipitating factors, also including school-related factors and cognitive skills, of adolescent suicide attempters occurred in the first and second semesters of the year before the pandemic lockdown (study periods 1 and 2) and the year after (study periods 3 and 4). RESULTS: The sample consisted of 85 adolescents aged between 12 and 17 recruited consecutively from March 2019 to March 2021 at emergency ward because of suicide attempt. Forty-eight adolescents (55.3% of the sample) were attended before the lockdown (pre-pandemic group) and 38 (44.7%) the year after. The results showed a higher proportion of female suicide attempters in period 4 (Sept 2020-Feb 2021) respect to period 3 (Mar 2020-Aug 2020), i.e., pandemic semesters compared with the increment observed between period 2 and 1 (prepandemic semesters; Fisher's exact test = 4.73; p = 0.026). The multinomial regression models showed a significant effect in the frequency of adolescents who attempted suicide (ratio χ2 = 15.19, p = 0.019), accounted by the differences between period 4 (Sept 2020-Feb 2021) and period 1 (Mar 2019-Aug 2019), with depressive symptoms being a significant contributing factor (Exp(b) = 0.93; p = 0.04). Additionally, social triggers and age were found to be significant risk factors for suicide attempts in the first semester of the pandemic academic year (period 4) compared to the same semester of the pre-pandemic year (period 2; Exp(b) = 0.16, p = 0.01, and Exp(b) = 1.88, p = 0.006, respectively). CONCLUSIONS: During the pandemic, the decrement between first and second semester of the number of females attempting suicide was more pronounced than in the prepandemic school year -though this findings lacked statistical power due to very limited sample size-. Change in the frequency of adolescent attempting suicide in the different school periods was associated with greater severity of depressive symptoms. Social relations in back-to-school after the lockdown were also associated with the number of adolescents attempting suicide.

Characterization of postintensive care syndrome in a prospective cohort of survivors of COVID-19 critical illness: a 12-month follow-up study.

PURPOSE: Studies integrating an exhaustive longitudinal long-term follow-up of postintensive care syndrome (PICS) in critically ill COVID-19 survivors are scarce. We aimed to 1) describe PICS-related sequelae over a 12-month period after intensive care unit (ICU) discharge, 2) identify relevant demographic and clinical factors related to PICS, and 3) explore how PICS-related sequelae may influence health-related quality of life (HRQoL) in critically ill COVID-19 survivors. METHODS: We conducted a prospective cohort study in adult critically ill survivors of SARS-CoV-2 infection that did or did not need invasive mechanical ventilation (IMV) during the COVID-19 pandemic in Spain (March 2020 to January 2021). We performed a telemedicine follow-up of PICS-related sequelae (physical/functional, cognitive, and mental health) and HRQoL with five data collection points. We retrospectively collected demographic and clinical data. We used multivariable mixed-effects models for data analysis. RESULTS: We included 142 study participants in the final analysis, with a median [interquartile range] age of 61 [53-68] yr; 35% were female and 59% needed IMV. Fatigue/dyspnea, pain, impaired muscle function, psychiatric symptomatology and reduced physical HRQoL were prominent sequelae early after ICU discharge. Over the 12-month follow-up, functionality and fatigue/dyspnea improved progressively, while pain remained stable. We observed slight fluctuations in anxiety symptoms and perception of cognitive deficit, whereas posttraumatic stress disorder (PTSD) and depressive symptoms improved, with a mild rebound at the end of the follow-up. Female sex, younger age, and the need for IMV were risk factors for PICS, while having higher cognitive reserve was a potential protective factor. Physical HRQoL scores showed a general improvement over time, whereas mental HRQoL remained stable. Shorter ICU stay, better functionality, and lower scores for fatigue/dyspnea and pain were associated with better physical HRQoL, while lower scores for anxiety, depression, and PTSD were associated with better mental HRQoL. CONCLUSIONS: Postintensive care syndrome was common in COVID-19 critical illness survivors and persisted in a significant proportion of patients one year after ICU discharge, impacting HRQoL. The presence of risk factors for PICS may identify patients who are more likely to develop the condition and who would benefit from more specific and closer follow-up after ICU admission. STUDY REGISTRATION: ClinicalTrials.gov ( NCT04422444 ); first submitted 9 June 2020.

RéSUMé: OBJECTIF: Les études intégrant un suivi longitudinal exhaustif à long terme des syndromes post-soins intensifs (SPSI) chez les survivant·es gravement malades de la COVID-19 sont rares. Notre objectif était 1) de décrire les séquelles liées au SPSI sur une période de 12 mois après la sortie de l'unité de soins intensifs (USI), 2) d'identifier les facteurs démographiques et cliniques pertinents liés au SPSI, et 3) d'explorer comment les séquelles liées au SPSI peuvent influencer la qualité de vie liée à la santé (QVLS) chez les survivant·es gravement malades de la COVID-19. MéTHODE: Nous avons mené une étude de cohorte prospective chez des adultes gravement malades survivant·es d'une infection par le SRAS-CoV-2 qui ont eu ou non besoin d'une ventilation mécanique invasive (VMI) pendant la pandémie de COVID-19 en Espagne (mars 2020 à janvier 2021). Nous avons effectué un suivi par télémédecine des séquelles liées au SPSI (santé physique/fonctionnelle, cognitive et mentale) et à la QVLS avec cinq points de collecte de données. Nous avons rétrospectivement colligé des données démographiques et cliniques. Des modèles multivariés à effets mixtes ont été utilisés pour l'analyse des données. RéSULTATS: Nous avons inclus 142 participant·es à l'étude dans l'analyse finale, avec un âge médian [intervalle interquartile] de 61 [53-68] ans; 35 % étaient des femmes et 59 % avaient besoin de VMI. La fatigue/dyspnée, la douleur, l'altération de la fonction musculaire, la symptomatologie psychiatrique et la réduction de la QVLS physique étaient des séquelles importantes peu après la sortie de l'USI. Au cours du suivi de 12 mois, la fonctionnalité et la fatigue/dyspnée se sont améliorées progressivement, tandis que la douleur est restée stable. Nous avons observé de légères fluctuations des symptômes d'anxiété et de perception du déficit cognitif, tandis que le trouble de stress post-traumatique (ESPT) et les symptômes dépressifs se sont améliorés, avec un léger rebond à la fin du suivi. Le sexe féminin, un jeune âge et le besoin de VMI étaient des facteurs de risque de SPSI, tandis qu'une réserve cognitive plus élevée était un facteur potentiel de protection. Les scores physiques de la QVLS ont montré une amélioration générale au fil du temps, tandis que la QVLS mentale est restée stable. Un séjour plus court aux soins intensifs, une meilleure fonctionnalité et des scores plus faibles pour la fatigue/dyspnée et la douleur étaient associés à une meilleure QVLS physique, tandis que des scores plus faibles pour l'anxiété, la dépression et le ESPT étaient associés à une meilleure QVLS mentale. CONCLUSION: Le syndrome post-soins intensifs était fréquent chez les survivant·es d'une maladie grave de la COVID-19 et a persisté chez une proportion importante de patient·es un an après leur sortie de l'unité de soins intensifs, ce qui a eu un impact sur la QVLS. La présence de facteurs de risque de SPSI peut identifier les patient·es qui sont plus susceptibles de développer la maladie et qui bénéficieraient d'un suivi plus spécifique et plus étroit après leur admission aux soins intensifs. ENREGISTREMENT DE L'éTUDE: ClinicalTrials.gov ( NCT04422444 ); première soumission le 9 juin 2020.

Factors associated with sick leave duration in patients suffering from major depressive disorder initiating antidepressant treatment: a real-world evidence study in Germany and Spain.

OBJECTIVE: To describe MDD patients starting antidepressant (AD) treatment by pharmacological approach and identify factors associated with a longer sick leave (SL) duration. METHODS: Retrospective study on IQVIA German Disease Analyser (specialists) and Spanish Longitudinal Patient Database (general practitioners and specialists). MDD patients initiating AD treatment between July 2016-June 2018 were grouped by therapeutic approach (AD monotherapy vs. combination/switch/add-on) and their characteristics were analysed descriptively. Multiple logistic regression models were run to evaluate factors affecting SL duration (i.e., >30 days). RESULTS: One thousand six hundred and eighty-five patients (monotherapy: 58%; combination/switch/add-on: 42%) met inclusion criteria for Germany, and 1817 for Spain (monotherapy: 83%; combination/switch/add-on: 17%). AD treatment influenced SL duration: combination/switch/add-on patients had a 2-fold and a 4-fold risk of having >30 days of SL than monotherapy patients, respectively in Germany and Spain. Patients with a gap of time between MDD diagnosis and AD treatment initiation had a higher likelihood of experiencing a longer SL both in Germany and Spain (38% higher likelihood and 6-fold risk of having >30 days of SL, respectively). CONCLUSIONS: A careful and timely selection of AD treatment approach at the time of MDD diagnosis may improve functional recovery and help to reduce SL, minimising the socio-economic burden of the disease.Key pointsThe major depressive disorder has a substantial impact on work absenteeism.The present study aimed to describe MDD patients starting antidepressant (AD) treatment depending on the pharmacological approach and to identify factors associated with longer sick leave (SL) duration.Patients receiving AD monotherapy had a lower likelihood of having more than 30 days of sick leave than those receiving AD combination/switch/add-on.Patients for whom a gap of time between MDD diagnosis and initiation of AD treatment was observed, showed a higher likelihood of having more than 30 days of sick leave.Because findings from this analysis relied on secondary data, the authors would like to claim the urgency of conducting prospective observational studies that further investigate the effect that different AD therapeutic approaches and timely initiation of treatment might exert on patients' recovery.

Higher order theory of mind in patients with bipolar disorder and schizophrenia/schizoaffective disorder.

Some evidence suggests that patients with bipolar disorder (BD) have better Theory of Mind (ToM) skills than patients with schizophrenia/schizoaffective disorder (SCH). However, this difference is not consistently reported across studies, so rather than being global, it may be restricted to specific aspects of ToM. Our primary objective was to compare higher order ToM performance between BD and SCH patients using the Hinting Task (HT). Ninety-four remitted patients were recruited (BD = 47, SCH = 47). Intelligence quotient (IQ), attention, memory, executive functions, and processing speed were also assessed. Patients with BD performed better on the HT than patients with SCH, even when the analysis was adjusted for IQ and neurocognition (p < 0.001, [Formula: see text] = 0.144). Regression analysis in the total sample showed that a diagnosis of SCH and lower IQ were associated with lower HT scores (R2 = 0.316, p < 0.001). In the BD group, verbal memory and processing speed were the main predictors of HT performance (R2 = 0.344, p < 0.001). In the SCH group, no variable was significant in explaining HT performance. In the context of previous studies that found no significant differences in the most basic aspects of ToM (e.g., understand other people's thoughts/beliefs), our results suggest that differences between the two disorders might be limited to the more challenging aspects (e.g., understand the intended meaning of indirect requests). No causal inferences can be made in this cross-sectional study. However, regression analyses show that whereas in BD patients, ToM functioning would be partially modulated by neurocognitive performance, in SCH patients, it could be largely independent of the well-known neurocognitive impairment.

The relationship between sex, personality traits, and the hypothalamic-pituitary-adrenocortical axis.

The aim of our study was to examine whether there are sex-based differences in the relationship between personality traits and hypothalamic-pituitary-adrenal (HPA) axis measures. A total of 106 healthy volunteers (56.6% women; age: 48.0 ± 15.8 years) were studied. The revised temperament and character inventory (TCI-R) and the Childhood Trauma Questionnaire (CTQ) were administered. HPA axis function was assessed using three dynamic measures: the cortisol awakening response (CAR), the diurnal cortisol slope, and the cortisol suppression ratio with 0.25 mg of dexamethasone (DSTR). Female sex was associated with an increased CAR and a more flattened diurnal cortisol slope, although a negative significant interaction between harm avoidance and female sex was found. Regarding the DSTR, perseverance was associated with increased cortisol suppression after dexamethasone; sex did not affect this association. Our study suggests that the relationship between specific personality traits (harm avoidance) and HPA axis measures (CAR, diurnal slope) differs according to sex.

Barriers, facilitators, and proposals for improvement in the implementation of a collaborative care program for depression: a qualitative study of primary care physicians and nurses.

BACKGROUND: Primary care plays a central role in the treatment of depression. Nonetheless, shortcomings in its management and suboptimal outcomes have been identified. Collaborative care models improve processes for the management of depressive disorders and associated outcomes. We developed a strategy to implement the INDI collaborative care program for the management of depression in primary health care centers across Catalonia. The aim of this qualitative study was to evaluate a trial implementation of the program to identify barriers, facilitators, and proposals for improvement. METHODS: One year after the implementation of the INDI program in 18 public primary health care centers we performed a qualitative study in which the opinions and experiences of 23 primary care doctors and nurses from the participating centers were explored in focus groups. We performed thematic content analysis of the focus group transcripts. RESULTS: The results were organized into three categories: facilitators, barriers, and proposals for improvement as perceived by the health care professionals involved. The most important facilitator identified was the perception that the INDI collaborative care program could be a useful tool for reorganizing processes and improving the management of depression in primary care, currently viewed as deficient. The main barriers identified were of an organizational nature: heavy workloads, lack of time, high staff turnover and shortages, and competing demands. Additional obstacles were inertia and resistance to change among health care professionals. Proposals for improvement included institutional buy-in to guarantee enduring support and the organizational changes needed for successful implementation. CONCLUSIONS: The INDI program is perceived as a useful, viable program for improving the management of depression in primary care. Uptake by primary care centers and health care professionals, however, was poor. The identification and analysis of barriers and facilitators will help refine the strategy to achieve successful, widespread implementation. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03285659 ; Registered 18th September, 2017.

Dealing with heterogeneity of cognitive dysfunction in acute depression: a clustering approach.

BACKGROUND: Heterogeneity in cognitive functioning among major depressive disorder (MDD) patients could have been the reason for the small-to-moderate differences reported so far when it is compared to other psychiatric conditions or to healthy controls. Additionally, most of these studies did not take into account clinical and sociodemographic characteristics that could have played a relevant role in cognitive variability. This study aims to identify empirical clusters based on cognitive, clinical and sociodemographic variables in a sample of acute MDD patients. METHODS: In a sample of 174 patients with an acute depressive episode, a two-step clustering analysis was applied considering potentially relevant cognitive, clinical and sociodemographic variables as indicators for grouping. RESULTS: Treatment resistance was the most important factor for clustering, closely followed by cognitive performance. Three empirical subgroups were obtained: cluster 1 was characterized by a sample of non-resistant patients with preserved cognitive functioning (n = 68, 39%); cluster 2 was formed by treatment-resistant patients with selective cognitive deficits (n = 66, 38%) and cluster 3 consisted of resistant (n = 23, 58%) and non-resistant (n = 17, 42%) acute patients with significant deficits in all neurocognitive domains (n = 40, 23%). CONCLUSIONS: The findings provide evidence upon the existence of cognitive heterogeneity across patients in an acute depressive episode. Therefore, assessing cognition becomes an evident necessity for all patients diagnosed with MDD, and although treatment resistant is associated with greater cognitive dysfunction, non-resistant patients can also show significant cognitive deficits. By targeting not only mood but also cognition, patients are more likely to achieve full recovery and prevent new relapses.

Tracking temporal response dynamics in the ventral striatum during social feedback in anorexia nervosa: A functional magnetic resonance imaging exploratory study.

OBJECTIVE: Research suggests abnormalities in reward-based processes in anorexia nervosa (AN). However, few studies have explored if such alterations might be associated with different temporal activation patterns. This study aims to characterize alterations in time-dependent processes in the ventral striatum (VS) during social feedback in AN using functional magnetic resonance imaging (fMRI). METHOD: Twenty women with restrictive-subtype AN and 20 age-matched healthy controls (HC) underwent a social judgment experimental fMRI task. Temporal VS hemodynamic responses were extracted in SPM for each participant and each social condition (acceptance/rejection). RESULTS: Compared with age-matched HC, patients with AN showed a significant time by group interaction of peak VS response throughout the task, with a progressive blunting of peak activation responses, accompanied by a progressive increase in baseline activity levels over time. DISCUSSION: The results suggest an attenuated response pattern to repetitive social rejection in the VS in patients with AN, together with a difficulty in returning to baseline. The information obtained from this study will guide future, design-specific studies to further explore alterations temporal dynamics.

Group and sex differences in social cognition in bipolar disorder, schizophrenia/schizoaffective disorder and healthy people.

BACKGROUND: Impairment of social cognition is documented in bipolar disorder (BD) and schizophrenia/schizoaffective disorder (SCH). In healthy individuals, women perform better than men in some of its sub-domains. However, in BD and SCH the results are mixed. Our aim was to compare emotion recognition, affective Theory of Mind (ToM) and first- and second-order cognitive ToM in BD, SCH and healthy subjects, and to investigate sex-related differences. METHODS: 120 patients (BD = 60, SCH = 60) and 40 healthy subjects were recruited. Emotion recognition was assessed by the Pictures of Facial Affect (POFA) test, affective ToM by the Reading the Mind in the Eyes Test (RMET) and cognitive ToM by several false-belief stories. Group and sex differences were analyzed using parametric (POFA, RMET) and non-parametric (false-belief stories) tests. The impact of age, intelligence quotient (IQ) and clinical variables on patient performance was examined using a series of linear/logistic regressions. RESULTS: Both groups of patients performed worse than healthy subjects on POFA, RMET and second-order false-belief (p < 0.001), but no differences were found between them. Instead, their deficits were related to older age and/or lower IQ (p < 0.01). Subthreshold depression was associated with a 6-fold increased risk of first-order false-belief failure (p < 0.001). Sex differences were only found in healthy subjects, with women outperforming men on POFA and RMET (p ≤ 0.012), but not on first/second-order false-belief. LIMITATIONS: The cross-sectional design does not allow for causal inferences. CONCLUSION: BD and SCH patients had deficits in emotion recognition, affective ToM, and second-order cognitive ToM, but their performance was comparable to each other, highlighting that the differences between them may be subtler than previously thought. First-order cognitive ToM remained intact, but subthreshold depression altered their normal functioning. Our results suggest that the advantage of healthy women in the emotional and affective aspects of social cognition would not be maintained in BD and SCH.

Predictors of sick leave days in patients affected by major depressive disorder receiving antidepressant treatment in general practice setting in Germany.

OBJECTIVE: To identify sick leave days (SLD) predictors after starting antidepressant (AD) treatment in patients affected by major depressive disorder (MDD), managed by general practitioners, with a focus on different AD therapeutic approaches. METHODS: Retrospective study on German IQVIA® Disease Analyser database. 19-64 year old MDD patients initiating AD treatment between July-2016 and June-2018 were grouped by therapeutic approach (AD monotherapy versus combination/switch/add-on). Data were analysed descriptively by AD therapeutic approach, while a zero-inflated Poisson (ZIP) multiple regression model was run to evaluate SLD predictors. RESULTS: 8,891 patients met inclusion criteria (monotherapy: 66%; combination/switch/add-on: 34%). All covariates had an influence on SLD after AD treatment initiation. Focussing on variables that physicians may more easily intervene to improve outcomes, it was found that the expected SLD number of combination/switch/add-on patients was 1.6 times that of monotherapy patients, and the expected SLD number of patients diagnosed with MDD before the decision to start AD treatment was 1.2 times that of patients not diagnosed with MDD. CONCLUSIONS: A patient tailored approach in the selection of AD treatment at the time of MDD diagnosis may improve functional recovery and help to reduce the socio-economic burden of the disease.KEY POINTSFew studies previously investigated the effect of antidepressant treatment approaches on sick leave days in major depressive disorder.To the authors' knowledge, this is the first study evaluating the effect of different antidepressant treatment approaches on sick leave days in major depressive disorder in German patients.Patients receiving antidepressant monotherapy treatment seemed to lose fewer working days than patients receiving antidepressants combination/switch/add-on therapy, both before and after starting treatment, even if differences were more pronounced after treatment has started.The use of antidepressant monotherapy or combination/switch/add-on therapy was the strongest predictor of sick leave days after starting antidepressant treatment: the expected number of sick leave days for the combination/switch/add-on group was 1.6 times that of the monotherapy group.Among factors associated with increased sick leave days, antidepressant therapeutic approach and the promptness of starting the antidepressant treatment when major depressive disorder is diagnosed, are those on which physicians may more easily intervene to improve outcomes.Findings from the present study suggest that a patient tailored approach may improve functional recovery and help reducing the socio-economic burden of the disease.

Cognitive phenotypes 1 month after ICU discharge in mechanically ventilated patients: a prospective observational cohort study.

BACKGROUND: ICU patients undergoing invasive mechanical ventilation experience cognitive decline associated with their critical illness and its management. The early detection of different cognitive phenotypes might reveal the involvement of diverse pathophysiological mechanisms and help to clarify the role of the precipitating and predisposing factors. Our main objective is to identify cognitive phenotypes in critically ill survivors 1 month after ICU discharge using an unsupervised machine learning method, and to contrast them with the classical approach of cognitive impairment assessment. For descriptive purposes, precipitating and predisposing factors for cognitive impairment were explored. METHODS: A total of 156 mechanically ventilated critically ill patients from two medical/surgical ICUs were prospectively studied. Patients with previous cognitive impairment, neurological or psychiatric diagnosis were excluded. Clinical variables were registered during ICU stay, and 100 patients were cognitively assessed 1 month after ICU discharge. The unsupervised machine learning K-means clustering algorithm was applied to detect cognitive phenotypes. Exploratory analyses were used to study precipitating and predisposing factors for cognitive impairment. RESULTS: K-means testing identified three clusters (K) of patients with different cognitive phenotypes: K1 (n = 13), severe cognitive impairment in speed of processing (92%) and executive function (85%); K2 (n = 33), moderate-to-severe deficits in learning-memory (55%), memory retrieval (67%), speed of processing (36.4%) and executive function (33.3%); and K3 (n = 46), normal cognitive profile in 89% of patients. Using the classical approach, moderate-to-severe cognitive decline was recorded in 47% of patients, while the K-means method accurately classified 85.9%. The descriptive analysis showed significant differences in days (p = 0.016) and doses (p = 0.039) with opioid treatment in K1 vs. K2 and K3. In K2, there were more women, patients were older and had more comorbidities (p = 0.001) than in K1 or K3. Cognitive reserve was significantly (p = 0.001) higher in K3 than in K1 or K2. CONCLUSION: One month after ICU discharge, three groups of patients with different cognitive phenotypes were identified through an unsupervised machine learning method. This novel approach improved the classical classification of cognitive impairment in ICU survivors. In the exploratory analysis, gender, age and the level of cognitive reserve emerged as relevant predisposing factors for cognitive impairment in ICU patients. TRIAL REGISTRATION: ClinicalTrials.gov Identifier:NCT02390024; March 17,2015.

A personalized intervention to prevent depression in primary care: cost-effectiveness study nested into a clustered randomized trial.

BACKGROUND: Depression is viewed as a major and increasing public health issue, as it causes high distress in the people experiencing it and considerable financial costs to society. Efforts are being made to reduce this burden by preventing depression. A critical component of this strategy is the ability to assess the individual level and profile of risk for the development of major depression. This paper presents the cost-effectiveness of a personalized intervention based on the risk of developing depression carried out in primary care, compared with usual care. METHODS: Cost-effectiveness analyses are nested within a multicentre, clustered, randomized controlled trial of a personalized intervention to prevent depression. The study was carried out in 70 primary care centres from seven cities in Spain. Two general practitioners (GPs) were randomly sampled from those prepared to participate in each centre (i.e. 140 GPs), and 3326 participants consented and were eligible to participate. The intervention included the GP communicating to the patient his/her individual risk for depression and personal risk factors and the construction by both GPs and patients of a psychosocial programme tailored to prevent depression. In addition, GPs carried out measures to activate and empower the patients, who also received a leaflet about preventing depression. GPs were trained in a 10- to 15-h workshop. Costs were measured from a societal and National Health care perspective. Qualityadjustedlife years were assessed using the EuroQOL five dimensions questionnaire. The time horizon was 18 months. RESULTS: With a willingness-to-pay threshold of €10,000 (£8568) the probability of cost-effectiveness oscillated from 83% (societal perspective) to 89% (health perspective). If the threshold was increased to €30,000 (£25,704), the probability of being considered cost-effective was 94% (societal perspective) and 96%, respectively (health perspective). The sensitivity analysis confirmed these results. CONCLUSIONS: Compared with usual care, an intervention based on personal predictors of risk of depression implemented by GPs is a cost-effective strategy to prevent depression. This type of personalized intervention in primary care should be further developed and evaluated. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01151982. Registered on June 29, 2010.

Gender Differences in Social Cognition: A Cross-Sectional Pilot Study of Recently Diagnosed Patients with Schizophrenia and Healthy Subjects.

OBJECTIVES: This study had 2 objectives: First, to explore the gender-related differences in emotional processing (EP) and theory of mind-both cognitive (CToM) and affective (AToM)-in patients with schizophrenia and in a control group of healthy subjects; and, second, to examine, from a gender perspective, the possible association between EP and CToM in the AToM performance. METHODS: Forty patients with schizophrenia/schizoaffective disorder were recruited and matched by gender, age and years of education with 40 healthy subjects. EP was measured by the pictures of facial affect (POFA) test. CToM was measured using first- and second-order false-belief (FB) stories. AToM was measured by the reading the mind in the eyes test (RMET). Group and gender differences in CToM were analysed using the X2 test, whereas EP and AToM were analysed using the non-parametric Mann-Whitney U Test and a general linear model. Results were adjusted by intelligence quotient and negative symptomatology. RESULTS: Patients with schizophrenia underperformed against healthy subjects in the POFA test, second-order FB, and RMET, but not in first-order FB. No significant gender differences were found. However, there was a trend showing that females outperformed males in the POFA ( P = 0.056). Group ( P < 0.001), POFA ( P < 0.001) and second-order FB ( P = 0.022) were the best factors predicting RMET performance (adjusted R2 = 0.584). CONCLUSIONS: Our results suggest that the illness is the main factor related to the deficit in social cognition, except for the basic aspects of the CToM that were unimpaired in most patients. Nevertheless, the influence of female gender in EP should not be neglected in any group. Finally, the hierarchal interaction between these domains is discussed.

Rationale and methods of the iFightDepression study: A double-blind, randomized controlled trial evaluating the efficacy of an internet-based self-management tool for moderate to mild depression.

BACKGROUND: During the last decade online interventions have emerged as a promising approach for patients with mild/moderate depressive symptoms, reaching at large populations and representing cost-effective alternatives. The main objective of this double-blind, randomized controlled trial is to examine the efficacy of an internet-based self-management tool (iFightDepression) for mild to moderate depression as an add-on to treatment as usual (TAU) versus internet-based psychoeducation plus TAU. METHODS: A total of 310 participants with major depression disorder (MDD) will be recruited at four different mental-health facilities in Spain. Participants will be randomly allocated to one of two study arms: iFightDepression (iFD) tool + TAU vs. internet-based psychoeducation + TAU. Both interventions last for 8 weeks and there is a 12 weeks follow up. The primary outcome measure is changes in depressive symptoms assessed with the Hamilton Depression Rating Scale. Additionally, pre-post interventions assessments will include socio-demographic data, a brief medical and clinical history and self-reported measures of depressive symptoms, quality of life, functional impairments and satisfaction with the iFD tool. DISCUSSION: iFightDepression is an easy-prescribed tool that could increase the efficacy of conventional treatment and potentially reach untreated patients, shortening waiting lists to receive psychological treatment. Confirming the efficacy of the iFD internet-based self-management tool as an add-on treatment for individuals with mild to moderate depression will be clinically-relevant. TRIAL REGISTRATION: Registration number NCT02312583 . Clinicaltrials.gov . December 4, 2014.

Development and assessment of an active strategy for the implementation of a collaborative care approach for depression in primary care (the INDI·i project).

BACKGROUND: Primary care is the principal clinical setting for the management of depression. However, significant shortcomings have been detected in its diagnosis and clinical management, as well as in patient outcomes. We developed the INDI collaborative care model to improve the management of depression in primary care. This intervention has been favorably evaluated in terms of clinical efficacy and cost-effectiveness in a clinical trial. Our aim is to bring this intervention from the scientific context into clinical practice. METHODS: Objective: To test for the feasibility and impact of a strategy for implementing the INDI model for depression in primary care. DESIGN: A quasi-experiment conducted in primary care. Several areas will be established to implement the new program and other, comparable areas will serve as control group. The study constitutes the preliminary phase preceding generalization of the model in the Catalan public healthcare system. PARTICIPANTS: The target population of the intervention are patients with major depression. The implementation strategy will also involve healthcare professionals, primary care centers, as well as management departments and the healthcare organization itself in the geographical areas where the study will be conducted: Camp de Tarragona and Vallès Occidental (Catalonia). INTERVENTION: The INDI model is a program for improving the management of depression involving clinical, instructional, and organizational interventions including the participation of nurses as care managers, the efficacy and efficiency of which has been proven in a clinical trial. We will design an active implementation strategy for this model based on the PARIHS (Promoting Action on Research Implementation in Health Services) framework. MEASURES: Qualitative and quantitative measures will be used to evaluate variables related to the successful implementation of the model: acceptability, utility, penetration, sustainability, and clinical impact. DISCUSSION: This project tests the transferability of a healthcare intervention supported by scientific research to clinical practice. If implementation is successful in this experimental phase, we will use the information and experience obtained to propose and plan the generalization of the INDI model for depression in the Catalan healthcare system. We expect the program to benefit patients, the healthcare system, and society. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03285659 ; Registered 12th September, 2017.

Intervention to Prevent Major Depression in Primary Care: A Cluster Randomized Trial.

BACKGROUND: Not enough is known about universal prevention of depression in adults. OBJECTIVE: To evaluate the effectiveness of an intervention to prevent major depression. DESIGN: Multicenter, cluster randomized trial with sites randomly assigned to usual care or an intervention. (ClinicalTrials.gov: NCT01151982). SETTING: 10 primary care centers in each of 7 cities in Spain. PARTICIPANTS: Two primary care physicians (PCPs) and 5236 nondepressed adult patients were randomly sampled from each center; 3326 patients consented and were eligible to participate. INTERVENTION: For each patient, PCPs communicated individual risk for depression and personal predictors of risk and developed a psychosocial program tailored to prevent depression. MEASUREMENTS: New cases of major depression, assessed every 6 months for 18 months. RESULTS: At 18 months, 7.39% of patients in the intervention group (95% CI, 5.85% to 8.95%) developed major depression compared with 9.40% in the control (usual care) group (CI, 7.89% to 10.92%) (absolute difference, -2.01 percentage points [CI, -4.18 to 0.16 percentage points]; P = 0.070). Depression incidence was lower in the intervention centers in 5 cities and similar between intervention and control centers in 2 cities. LIMITATION: Potential self-selection bias due to nonconsenting patients. CONCLUSION: Compared with usual care, an intervention based on personal predictors of risk for depression implemented by PCPs provided a modest but nonsignificant reduction in the incidence of major depression. Additional study of this approach may be warranted. PRIMARY FUNDING SOURCE: Institute of Health Carlos III.

[A computerised clinical decision-support system for the management of depression in Primary Care]. / Un sistema informatizado de apoyo a las decisiones clínicas para el manejo de la depresión en atención primaria.

Despite its clinical relevance and its importance as a public health problem, there are major gaps in the management of depression. Evidence-based clinical guidelines are useful to improve processes and clinical outcomes. In order to make their implementation easier these guidelines have been transformed into computerised clinical decision support systems. In this article, a description is presented on the basics and characteristics of a new computerised clinical guideline for the management of major depression, developed in the public health system in Catalonia. This tool helps the clinician to establish reliable and accurate diagnoses of depression, to choose the best treatment a priori according to the disease and the patient characteristics. It also emphasises the importance of systematic monitoring to assess the clinical course, and to adjust therapeutic interventions to the patient's needs at all times.

Effectivity and Cost-effectivity of the Maintenance Electroconvulsive Therapy: A mirror naturalistic analysis.

INTRODUCTION: Maintenance Electroconvulsive Therapy (mECT) is a biological long-term treatment in which patients receive ECT on periods from 2 to 4 weeks, during a variable period of time, usually for more than 6 months. Recent studies showed the efficacy of mECT in prevention of relapse and recurrences. Our study wants to demostrate the effectivity and cost-effectivity of this therapy in the naturalistic conditions of our area. DESIGN: Retrospective longitudinal study, with mirror analysis in naturalistic conditions. SUBJECTS: Patients attended at the Corporació Sanitària Parc Taulí (Sabadell, Catalonia), and included in the mECT program during more than six months. We performed diagnostic following DSM-IV criteria, subdividing the sample in three groups: patients affected of Recurrent Major Depression, Bipolar Disorder and Schizophrenia and Related Disorders. MEASURES: Number and duration of hospitalizations for the previous three years before the beginning of mECT, compared with the same data for the next three years following the beginning of mECT. Comparative analysis of direct hospitalization costs, costs of the mECT and pharmacologic costs. Statistic: Descriptive and non- parametric tests. RESULTS: Sample of 35 patients (1997-2008). There is a significative reduction the number of hospitalizations and days of hospitalization in the total sample and also in each of the three subgroups. The direct total cost decreased but it was only significant in the Bipolar Disorder subgroup, due to the increased pharmacological costs. CONCLUSIONS: mECT in our area is an effective and costeffective treatment with a great impact on the reduction of clinical decline and hospitalizations.

Gender differences in the impact of mental disorders and chronic physical conditions on health-related quality of life among non-demented primary care elderly patients.

PURPOSE: This paper aims to estimate the comorbidity of mental disorders and chronic physical conditions and to describe the impact of these conditions on health-related quality of life (HRQoL) in a sample of older primary care (PC) attendees by gender. METHODS: Cross-sectional survey, conducted in 77 PC centres in Catalonia (Spain) on 1192 patients over 65 years old. Using face-to-face interviews, we assessed HRQoL (SF-12), mental disorders (SCID and MINI structured clinical interviews), chronic physical conditions (checklist), and disability (Sheehan disability scale). We used multivariate quantile regressions to model which factors were associated with the physical component summary-short form 12 and mental component summary-short form 12. RESULT: The most frequent comorbidity in both men and women was mood disorder with chronic pain and arthrosis. Mental disorders mainly affected 'mental' QoL, while physical disorders affected 'physical' QoL. Mental disorders had a greater impact on HRQoL than chronic physical conditions, with mood and adjustment disorders being the most disabling conditions. There were some gender differences in the impact of mental and chronic physical conditions on HRQoL. Anxiety disorders and pain had an impact on HRQoL but only in women. Respiratory diseases had an effect on the MCS in women, but only affected the PCS in men. CONCLUSIONS: Mood and adjustment disorders had the greatest impact on HRQoL. The impact profile of mental and chronic physical conditions differs between genders. Our results reinforce the need for screening for mental disorders (mainly depression) in older patients in PC.

Prevalence of mental disorders in non-demented elderly people in primary care [corrected].

BACKGROUND: Mental disorders in the elderly are common, with a 12-month prevalence in the community ranging from 8.54% to 26.4%. Unfortunately, many mental disorders are unrecognized, untreated, and associated with poor health outcomes. The aim of this paper is to describe the prevalence of mental disorders in the elderly primary care (PC) population and its associated factors by age groups. METHODS: Cross-sectional survey, conducted in 77 PC centers in Catalonia (Spain), 1,192 patients over 65 years old. The prevalence of mental disorders was assessed through face-to-face evaluations using the Structured Clinical Interview for DSM-IV Axis I Disorders, Research Version (SCID-I-RV) and the Mini International Neuropsychiatric Interview (MINI); chronic physical conditions were noted using a checklist; and disability through the Sheehan Disability Scales (SDS). RESULTS: Nearly 20% of participants had a mental disorder in the previous 12 months. Anxiety disorders were the most frequent, (10.9%) (95% CI = 8.2-14.4), followed by mood disorders (7.4%) (95% CI = 5.7-9.5). Being female, greater perceived stress and having mental health/emotional problems as the main reason for consultation were associated with the presence of any mental disorder. There were no differences in prevalence across age groups. Somatic comorbidity was not associated with the presence of mental disorders. CONCLUSIONS: Mental disorders are highly prevalent among the elderly in PC in Spain. Efforts are needed to develop strategies to reduce this prevalence and improve the well-being of the elderly. Based on our results, we thought it might be useful to assess perceived stress regularly in PC, focusing on people who consult for emotional distress, or that have greater perceived stress.