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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., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.)

Purpose: to study sex differences in self-reported symptoms measured with the Scale of Patient-Reported Impact of Symptoms in Schizophrenia (PRISS), to investigated sex differences in the degree of agreements between self-reported symptoms and clinical symptoms assessed by professionals, and to identify which clinical and sociodemographic variables predicted a greater presence of self-reported symptoms split by sex., Methods: 161 patients (37 females; 124 males), aged between 18 and 65 years, with a diagnosis of schizophrenia assisted in non-acute mental health services at four mental health catchment areas in Andalucia and Catalonia were included. The PRISS scale was administered to asses self-reported symptoms., Results: males reported higher presence of excitement, grandiosity, motor retardation and poor attention) than women. There was less agreement in the presence of psychotic symptoms in men than in women when comparing self-reported symptoms and clinical symptoms assessed by professionals. Finally, in men the predictors variables for the greater presence of self-perceived symptoms were greater psychotic symptomatology and more disability, while in women were greater presence of alogia and higher doses of chlorpromazine., Conclusions: Assessing and being aware of the self-perceived symptoms of patients with schizophrenia should be considered in the clinic, especially in men, as there appears to be a lack of agreement on certain items. This would allow treatments to be more focused on patients' need by sex, and would make them feel part of the therapeutic process, improving their therapeutic adherence, evolution and quality of life., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.)

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., Competing Interests: Declaration of competing interest The authors declare no conflicts of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)

According to the World Health Organization (WHO), major depressive disorder (MDD) is the fourth leading cause of disability worldwide and the second most common disease after cardiovascular events. Approximately 280 million people live with MDD, with incidence varying by age and gender (female to male ratio of approximately 2:1). Although a variety of antidepressants are available for the different forms of MDD, there is still a high degree of individual variability in response and tolerability. Given the complexity and clinical heterogeneity of these disorders, a shift from "canonical treatment" to personalized medicine with improved patient stratification is needed. OPADE is a non-profit study that researches biomarkers in MDD to tailor personalized drug treatments, integrating genetics, epigenetics, microbiome, immune response, and clinical data for analysis. A total of 350 patients between 14 and 50 years will be recruited in 6 Countries (Italy, Colombia, Spain, The Netherlands, Turkey) for 24 months. Real-time electroencephalogram (EEG) and patient cognitive assessment will be correlated with biological sample analysis. A patient empowerment tool will be deployed to ensure patient commitment and to translate patient stories into data. The resulting data will be used to train the artificial intelligence/machine learning (AI/ML) predictive tool.

Introduction: The outbreak of the COVID-19 pandemic put at risk the resilience of healthcare professionals by exposing them to high levels of stress. Our aim was to identify key elements for implementing the STEP  programme, a psychological support service for healthcare professionals., Methods: qualitative design.  The study participants were hospital healthcare staff. Anonymous questionnaires and transcriptions  of group interventions and focus groups were used to  identify professionals' preferences to receiving psychological support, needs, concerns, resilience (STEP1.0); constrained emotions and associated thoughts (STEP1.5); perception of self-efficacy on managing emotions (STEP2.0); and the professionals' profile requiring individual therapy., Results: Three hundred professionals participated in the study, 100.0% in STEP 1.0 , 27.3% in STEP 1.5, 2.7% in STEP 2.0, and 10.0% in individual interventions. Two hundred and three (67.7%) participants reflected in the survey that they would prefer access to a face-to-face psychological service during working hours. Three consecutive phases with specific needs and concerns were identified: The "cognitive" phase, at the beginning of the pandemic, when infection and self-efficacy were major concerns, the "ventilation" phase, when constrained emotions associated with several factors were expressed; and the "recovery" phase, when the clinical overload decreased and professionals were able to focus on emotion management training. Several personal characteristics associated with referral to individual therapy were identified.  Conclusions: The key characteristics of a psychological support service are proximity, face-to-face interaction during working shifts, and a chronological phase system adapted to different emerging needs.

Background: Heart failure (HF) diagnosis as reported in primary care medical records is not always properly confirmed and could result in over-registration., Objectives: To determine the proportion of registered HF that can be confirmed with information from primary care medical records and to analyse related factors., Methods: A cross-sectional study. The medical records of 595 HF patients attended in two primary healthcare centres in Barcelona (Spain) were revised and validated by a team of experts who classified diagnosis into confirmed, unconfirmed, and misdiagnosis. Variables potentially related to the confirmation of the diagnosis were analysed. The revision of medical records and data collection took place from 15 January to 31 March 2014., Results: Mean (standard deviation) age was 78 (10) years and 58% were women. The diagnosis could be confirmed in 53.6% of patients. Factors associated with a greater probability of having a confirmed diagnosis were age (yearly OR: 0.97, 95%CI: 0.95-0.99), cardiologist follow-up (OR: 3.66, 95%CI: 2.46-5.48), history of ischaemic heart disease (OR: 2.18, 95%CI: 1.36-2.48), atrial fibrillation (OR: 2.01, 95%CI: 1.34-3.03), and prescription of loop diuretics (OR: 3.24, 95%CI: 2.14-4.89)., Conclusion: Only in half of the patients labelled as HF in primary care medical records could this diagnosis be further confirmed. Variables regularly registered in clinical practice could help general practitioners identify those patients requiring a revision of their HF diagnosis.

Background: Quality indicators are measured aspects of healthcare, reflecting the performance of a healthcare provider or healthcare system. They have a crucial role in programmes to assess and improve healthcare. Many performance measures for primary care have been developed. Only the Catalan model for patient safety in primary care identifies key domains of patient safety in primary care., Objective: To present an international framework for patient safety indicators in primary care., Methods: Literature review and online Delphi-survey, starting from the Catalan model., Results: A set of 30 topics is presented, identified by an international panel and organized according to the Catalan model for patient safety in primary care. Most topic areas referred to specific clinical processes; additional topics were leadership, people management, partnership and resources., Conclusion: The framework can be used to organize indicator development and guide further work in the field.

Introduction and Objectives: Scarce research has been performed in ambulatory patients with chronic heart failure in the Mediterranean area. Our aim was to describe survival trends in our target population and the impact of prognostic factors., Methods: We carried out a population-based retrospective cohort study in Catalonia (north-east Spain) of 5659 ambulatory patients (60% women; mean age 77 [10] years) with incident chronic heart failure. Eligible patients were selected from the electronic patient records of primary care practices from 2005 and were followed-up until 2007., Results: During the follow-up period deaths occurred in 950 patients (16.8%). Survival after the onset of chronic heart failure at 1, 2, and 3 years was 90%, 80%, 69%, respectively. No significant differences in survival were found between men and women (P=.13). Cox proportional hazard modelling confirmed an increased risk of death with older age (hazard ratio=1.06; 95% confidence interval, 1.06-1.07), diabetes mellitus (hazard ratio=1.53; 95% confidence interval, 1.33-1.76), chronic kidney disease (hazard ratio=1.73; 95% confidence interval, 1.45-2.05), and ischemic heart disease (hazard ratio=1.18; 95% confidence interval, 1.02-1.36). Hypertension (hazard ratio=0.73; 95% confidence interval, 0.64-0.84) had a protective effect., Conclusions: Service planning and prevention programs should take into consideration the relatively high survival rates found in our area and the effect of prognostic factors that can help to identify high risk patients., (Copyright © 2013 Sociedad Española de Cardiología. Published by Elsevier Espana. All rights reserved.)

Background: Multimorbidity and polypharmacy pose challenges to improving the quality of care., Objectives: To determine the association between prescription of recommended treatment in ambulatory patients with chronic heart failure and multiple comorbidities and hospitalisation events., Design: A population-based retrospective cohort study in Catalonia (north-east Spain)., Participants: We included 7173 newly registered patients with chronic heart failure (59% women; mean [SD] age 76.3 [10.7] years). Patients were selected from the electronic patient records of primary care practices and followed for three years., Outcome Measures: Prescription of angiotensin-converting enzyme inhibitors (ACEIs), angiotensin II receptor blockers (ARBs) and beta-blockers (BBs)., Results: Prescription of ACEI/ARBs in patients managed in primary care without a hospitalisation event during the follow-up rose from 50.8 to 83.5% for 0 and ≥4 comorbidities, respectively, and for ACEI/ARBs and BB from 13.1 to 30.6% for 0 and ≥4 comorbidities respectively. Patients with a hospitalisation event were treated more often (ACEI/ARBs or 1.47 [1.17 to 1.85]; ACEI/ARBs and BB or 1.41 [1.17 to 1.69]). Comorbid conditions receiving more treatment were hypertension (ACEI/ARBs or 3.75 [3.33 to 4.22]; ACEI/ARBs and BB or 1.40 [1.23 to 1.59]), diabetes mellitus (ACEI/ARBs or 1.79 [1.57 to 2.04]; ACEI/ARBs and BB or 1.33 [1.18 to 1.49]) and ischaemic heart disease (ACEI/ARBs or 1.25 [1.10 to 1.42]; ACEI/ARBs and BB or 3.01 [2.68 to 3.38])., Conclusion: Prescription of recommended treatment in patients with chronic heart failure increased as the number of comorbidities increased. Family physicians can provide equivalent care to more complex patients and those less complex, according to the number of comorbidities.

Objectives: Cardiovascular risk management (CVRM) received by patients shows large variation across countries. In this study we explored the aspects of primary care organisation associated with key components of CVRM in coronary heart disease (CHD) patients., Design: Observational study., Setting: 273 primary care practices in Austria, Belgium, England, Finland, France, Germany, The Netherlands, Slovenia, Switzerland and Spain., Participants: A random sample of 4563 CHD patients identified by coded diagnoses in eight countries, based on prescription lists and while visiting the practice in one country each., Main Outcome Measure: We performed an audit in primary care practices in 10 European countries. We used six indicators to measure key components of CVRM: risk factor recording, antiplatelet therapy, influenza vaccination, blood pressure levels (systolic <140 and diastolic <90 mm Hg), and low-density lipoprotein cholesterol <2.5 mmol/l. Data from structured questionnaires were used to construct an overall measure and six domain measures of practice organisation based on 39 items. Using multilevel regression analyses we explored the effects of practice organisation on CVRM, controlling for patient characteristics., Results: Better overall organisation of a primary care practice was associated with higher scores on three indicators: risk factor registration (B=0.0307, p<0.0001), antiplatelet therapy (OR 1.05, p=0.0245) and influenza vaccination (OR 1.12, p<0.0001). Overall practice organisation was not found to be related with recorded blood pressure or cholesterol levels. Only the organisational domains 'self-management support' and 'use of clinical information systems' were linked to three CVRM indicators., Conclusions: A better organisation of a primary care practice was associated with better scores on process indicators of CVRM in CHD patients, but not on intermediate patient outcome measures. Direct support for patients and clinicians seemed most influential.