Epilepsy is one of the most common serious brain illness, with symptoms influenced by multiple risk factors and a strong genetic predisposition, rather than having a single expression and cause¹. Neuropsychiatric symptoms in epilepsy can encompass manifestations such as mood alterations, anxiety, sleep disturbances, psychosis, and behavioral disorders. While the motor and sensory manifestations of epileptic seizures are widely recognized, neuropsychiatric symptoms accompanying epilepsy are often underestimated. Therefore, it is essential to understand the most prevalent epidemiological profile of these patients to improve the diagnosis and management of these symptoms.

Our goal was to evaluate the neuropsychiatric behavior of epilepsy patients in Brazilian over the past 3 years through hospitalization data in order to outline an epidemiological and behavioral profile.

A cross-sectional, descriptive, retrospective, and quantitative study was conducted on hospitalizations of individuals simultaneously diagnosed with epilepsy, schizotypal and delusional disorders, and mood disorders in all five regions of Brazil (South, Southeast, Midwest, North, and Northeast) between February 2020 and December 2022. Data from January 2020 were not available. The data used were collected through the Department of Health Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, gathering information regarding the nature of care, age range, gender, and ethnicity of the patients.

The analysis covers the years 2020 to 2022, totaling 503,045 hospitalizations. In 2022, the highest number of cases occurred (≈ 37.55%), followed by 2021 (≈ 33.62%) and 2020 (≈ 28.81%). Urgent hospitalizations represented ≈ 90.85% of the total. The most affected age group was 30 to 39 years old (≈ 18.30%). Men were more affected than women (≈ 52.03% and ≈ 47.96%, respectively), and Caucasians accounted for ≈ 36.07% of the hospitalizations. The average length of stay was 19.1 days, and the mortality rate was 1.4%.

Thus, there is a gradual and annual increase in the number of hospitalizations during the observed period. While there is a minimal disparity between the affected genders, it is evident that the profile of male, caucasian, and adult patients is the most prevalent. Moreover, the predominantly urgent nature of hospitalizations points to an alarming scenario regarding this issue. From the analysis of the data obtained in the study, there is a clear need for interventions capable of reducing the prevalence of hospitalizations for neuropsychiatric symptoms in epilepsy patients in Brazil.

None Declared

Neuropsychiatric disorders are the leading cause of disability worldwide, as seen in cases such as depression, anxiety, bipolar mood disorder and schizophrenia, which can be developed or exacerbated by the use of psychoactive substances. Most mental disorders have an early onset, often leading to early and/or permanent disability, increasing the need and cost of healthcare. Therefore, it is necessary to improve the identification of the epidemiological profile of these cases in the South of Brazil in order to enhance the diagnosis and reduce the costs associated with managing these disorders.

The present study aimed to analyze statistical data regarding hospitalizations related to mental disorders caused by the use of psychoactive substances and alcohol in the southern region of Brazil, highlighting the pathological scenario and identifying the most prevalent profiles of these disorders in this region.

A cross-sectional, descriptive, retrospective, and quantitative study was conducted on hospitalizations of individuals diagnosed with mental and behavioral disorders due to the use of psychoactive substances and alcohol in the states of the Southern region of Brazil (Paraná, Santa Catarina, and Rio Grande do Sul) between February 2020 and December 2022. Data of January 2020 were not available. The data used were collected through the Department of Health Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, gathering information regarding the nature of the care, age range, gender, and ethnicity of the patients.

The study covers the years 2020 to 2022, indicating a total of 81,608 hospitalizations, with the year 2022 having the highest number of cases (≈ 37.13%), followed by 2021 (≈ 33.30%) and 2020 (≈ 29.55%). The states with the highest number of hospitalizations were Rio Grande do Sul (≈ 54.90%), Paraná (≈ 29.29%), and Santa Catarina (≈ 15.79%). Urgent hospitalizations accounted for ≈ 87.29% of the total. The most affected age group was 30 to 39 years old (≈ 25.61%). Men were more affected than women (≈ 81.70% and ≈ 18.28%, respectively). Caucasians accounted for ≈ 64.29% of the hospitalizations. The average length of stay was 20.8 days, and the mortality rate was 0.32%.

There is a clear increase in the number of hospitalizations related to mental disorders caused by the use of psychoactive substances in the period from 2020 to 2022 in the southern region of Brazil, with the highest number of cases in the state of Rio Grande do Sul. The most affected population consisted of Caucasian men aged 30 to 39 years old. Furthermore, these results may be related to the increasing trend of psychoactive substance use among the Brazilian population and also the COVID-19 pandemic, which led to a period of underreporting due to social isolation.

None Declared

In recent years, mental health has gained prominence in public health, prompting thorough investigations into psychiatric condition trends. This study conducts a comprehensive epidemiological analysis of hospitalizations for Schizophrenia, Schizotypal, and Delirium Disorders in Rio Grande do Sul (RS) over the past five years. By revealing these patterns, it enhances our understanding of regional mental health dynamics and offers insights for intervention strategies, resource planning, and improved mental healthcare. The ultimate goal is to advance more effective and accessible mental healthcare in RS and beyond.

This study aims to analyze the prevalence and epidemiological profile of hospitalizations due to psychiatric disorders to assist in the diagnosis and outcome of affected patients.

A cross-sectional, descriptive, retrospective, and quantitative study was conducted regarding hospitalizations for Schizophrenia, Schizotypal Disorders, and Delirium in the state of RS between January 2018 and November 2022. Data were collected from the Department of Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, focusing on the nature of care, age group, gender, and ethnicity of the patients. The information was aggregated over the five-year period based on the four mentioned descriptors and subsequently analyzed to establish a profile of hospitalizations during that period.

The analysis spans from 2018 to 2022, encompassing a total of 28,345 hospitalizations. In 2019, there was the highest number of cases (22.21%), followed by 2018 (21.08%). Urgent care admissions constituted 85.34% of the total. The age group most affected was 35 to 39 years (11.8%). Men were more affected than women (60.18%), and the majority of hospitalizations were among the Caucasian ethnicity (75.12%). The average length of stay was 23.7 days, and the mortality rate stood at 0.26%.

The increasing trend in hospitalizations, peaking in 2019, highlights the need for preventive measures. Urgent admissions (85.34%) underscore the demand for accessible mental health resources. Men in the 35 to 39 age group are disproportionately affected, suggesting specific risk factors. The predominance of Caucasian ethnicity emphasizes the need for culturally sensitive care. A longer average length of stay (23.7 days) underscores treatment complexity, while a low mortality rate (0.26%) signals effective medical care. In essence, these findings inform tailored mental health policies to enhance service quality and prioritize patient-centered approaches.

None Declared

The coronavirus disease 2019 (COVID-19) has serious physiological and psychological consequences. The long-term (>12 weeks post-infection) impact of COVID-19 on mental health, specifically in older adults, is unclear. We longitudinally assessed the association of COVID-19 with depression symptomatology in community-dwelling older adults with metabolic syndrome within the framework of the PREDIMED-Plus cohort.

Participants (n = 5486) aged 55–75 years were included in this longitudinal cohort. COVID-19 status (positive/negative) determined by tests (e.g. polymerase chain reaction severe acute respiratory syndrome coronavirus 2, IgG) was confirmed via event adjudication (410 cases). Pre- and post-COVID-19 depressive symptomatology was ascertained from annual assessments conducted using a validated 21-item Spanish Beck Depression Inventory-II (BDI-II). Multivariable linear and logistic regression models assessed the association between COVID-19 and depression symptomatology.

COVID-19 in older adults was associated with higher post-COVID-19 BDI-II scores measured at a median (interquartile range) of 29 (15–40) weeks post-infection [fully adjusted β = 0.65 points, 95% confidence interval (CI) 0.15–1.15; p = 0.011]. This association was particularly prominent in women (β = 1.38 points, 95% CI 0.44–2.33, p = 0.004). COVID-19 was associated with 62% increased odds of elevated depression risk (BDI-II ≥ 14) post-COVID-19 when adjusted for confounders (odds ratio; 95% CI 1.13–2.30, p = 0.008).

COVID-19 was associated with long-term depression risk in older adults with overweight/obesity and metabolic syndrome, particularly in women. Thus, long-term evaluations of the impact of COVID-19 on mental health and preventive public health initiatives are warranted in older adults.

To examine the cross-sectional and longitudinal (2-year follow-up) associations between dietary diversity (DD) and depressive symptoms.

An energy-adjusted dietary diversity score (DDS) was assessed using a validated FFQ and was categorised into quartiles (Q). The variety in each food group was classified into four categories of diversity (C). Depressive symptoms were assessed with Beck Depression Inventory-II (Beck II) questionnaire and depression cases defined as physician-diagnosed or Beck II >= 18. Linear and logistic regression models were used.

Spanish older adults with metabolic syndrome (MetS).

A total of 6625 adults aged 55–75 years from the PREDIMED-Plus study with overweight or obesity and MetS.

Total DDS was inversely and statistically significantly associated with depression in the cross-sectional analysis conducted; OR Q4 v. Q1 = 0·76 (95 % CI (0·64, 0·90)). This was driven by high diversity compared to low diversity (C3 v. C1) of vegetables (OR = 0·75, 95 % CI (0·57, 0·93)), cereals (OR = 0·72 (95 % CI (0·56, 0·94)) and proteins (OR = 0·27, 95 % CI (0·11, 0·62)). In the longitudinal analysis, there was no significant association between the baseline DDS and changes in depressive symptoms after 2 years of follow-up, except for DD in vegetables C4 v. C1 = (β = 0·70, 95 % CI (0·05, 1·35)).

According to our results, DD is inversely associated with depressive symptoms, but eating more diverse does not seem to reduce the risk of future depression. Additional longitudinal studies (with longer follow-up) are needed to confirm these findings.

In recent years, the GRADE system has been adopted internationally to make judgments about evidence and/or recommendations. Recently, the Spanish Network of HTA (RedETS) has promoted among its members the use of the GRADE system, especially the “Evidence to Decision” tool (EtD) where a multidisciplinary panel is involved. The objective is to describe the methodological approach with the first AQuAS experience using this methodology in HTA, focused on inclusion/exclusion of these technologies in the Spanish National Health Service (NHS) portfolio.

The standard EtD tool was used for clinical and financial decisions. Four multidisciplinary panels were constituted by relevant professionals in clinical practice and, where possible, patients. The four panels discussed on the following four interventions: in two cases, AQuAS prepared preliminary recommendations and participants provided feedback, while in the other two cases, experts received the evidence review and were asked to formulate recommendations. These recommendations were voted on and, in the case of disagreement, adapted and then voted on for a second time. Finally, any discrepancies were noted in the report. Evaluated interventions were: maxillofacial 3D-reconstruction, cataract surgery equipment, non-invasive surgery in obesity and pharmacological treatment in secondary fracture prevention.

Especially when more than one evaluative question was addressed in the HTA report the EtD and the consensus results required discussion. Consensus was fast but not immediate. Meeting length depended on the number of HTA questions and the amount of original disagreement in the recommendations. The nuances on how to write recommendations also affected the panel duration. All panels were successful in formulating the final recommendations.

Standardizing methodologies increased the homogeneity across HTA reports. The GRADE system is a feasible and useful tool because it favors transparency and rigor in drawing up recommendations on the inclusion/exclusion of technologies in the NHS portfolio. The EtD framework complements GRADE tables, which display the relevant evidence in a way that can be used by multidisciplinary groups to reach a consensual recommendation.

Although all participants received a short training video, more experience in the use of these methodologies might shorten the duration of the process and facilitate reaching consensus. Some considerations on how to overcome the difficulties and complexity of this methodological approach are discussed.

In order to improve patients’ health outcomes, it is important to know the available evidence regarding centralization of surgical interventions for digestive cancer in hospitals with the highest volume of cases. We aim to describe and identify the number of annual interventions recommended by hospitals in order to maximize the health outcomes and efficiency for patients undergoing digestive cancer surgery during 2013–2016 in centers belonging to the Spanish National Health System (SNS).

The study design was a retrospective cohort study (patients aged ≥18 years). Data from Spanish public hospitals’ basic minimum set of data at hospital discharge for esophagus, stomach, liver, pancreas and rectum cancers was used. Age, sex primary/secondary diagnosis and procedures (Charlson index) were included. Reinterventions, hospital stay and in-hospital mortality were considered as the outcomes and measures of efficiency. Hospitals were grouped as low-/medium-/high-volume according to the number of annual procedures. Descriptive analysis and logistic and Poisson regression models with Stata16 were undertaken.

High-volume hospitals performed between 67.4 (rectum) and 88.6 (liver) percent of interventions. The percentage of in-hospital mortality for all cancers was lower in high-volume centers (9.6% esophagus, 6.6% stomach, 7.1% pancreas, 4.2% liver and 2.2% rectum), showing a negative association between center volume and in-hospital mortality, which was statistically significant for esophagus (odds ratio [OR] = 0.48; 95% confidence interval [CI]: 0.28–0.81), stomach (OR = 0.51; 95% CI: 0.39–0.68) and rectum (OR = 0.63; 95% CI: 0.48–0.83) cancers. A non-statistically significant lower in hospital stay was observed in high-volume hospitals.

These results indicate that in Spain there is a negative association between the number of digestive oncological interventions per hospital and in-hospital mortality. This could help to define a threshold or cut-off point for the concentration of digestive cancer surgery in the SNS that might result in an improvement of lower in-hospital mortality and/or hospital stay.

The Agency for Health Quality and Assessment of Catalonia (AQuAS) is developing an evaluation tool for mobile health (mHealth) solutions to be used by health technology assessment (HTA) agencies and evaluation experts. In order to have a practical and comprehensive tool taking into account the particularities and challenges of mobile interventions, we considered the views and opinions of key stakeholders. The objective was to present the final selection of general aspects (dimensions) to be assessed in the evaluation, as well as the specific items (criteria) to be included in each of these topics, as a result of different co-design approaches with health professionals, developers, hospital managers, HTA agencies and patients.

A list of criteria used for health apps evaluation were drawn from a literature review. The initial list included eighty-nine criteria items grouped in nine domains. Those criteria and domains were discussed during four focus groups (FG). The importance of the criteria that were not considered as mandatory were later rated through a Delphi online sub-study, in a scale from one to six points, taking as consensus value when median value (median 6, Interquartile range, 0–1) was reached.

FG reduced domains and criteria from nine to seven and from eighty-nine to thirty-three, respectively. Most mandatory criteria were related with security, user experience, and clinical effectiveness. Fifty-seven individuals (53.7% of 106 invited to participate) were registered in the online platform (50.1% women, 68.4% 35–64years old and 42.1% from HTA agencies). From fifty non-mandatory criteria under consensus, ten criteria reached consensus (most from solution's content and health problem covered domains) concluding with a 43/7 criteria/domain tool.

Insights from main stakeholders on the content of the tool for mHealth assessment were considered through the FG and Delphi technique. The dimensions of security and privacy, clinical effectiveness, solutions’ content, technological aspects, users’ experience and costs were considered mandatory. The dimension related to the impact on the organization was appraised as a secondary domain for evaluation. A workshop with AQuAS research team and HTA external researchers will help to define: the assessment methods (type of instrument, dichotomous responses and/or Likert scales) for the evaluation and the format and dimension's weights of the final design of the tool.

The methodological guides for the assessment of new/emerging non-pharmacological technologies differ from the traditional health technology assessment (HTA) guidelines developed by the Spanish Network of Agencies for Assessing National Health System Technologies and Performance (RedETS). The aim of this study is to identify the special features and challenges of carrying out HTA on new/emergent non-pharmacological technologies.

The application of traditional and new/emergent HTA guidelines is compared along the consecutive evaluation phases in four practical cases carried out at the Agency for Health Quality and Assessment of Catalonia (AQuAS) in 2017-2018.

Main learning and outstanding challenges: (i) Instead of following a defined protocol, the evaluations are carried out from a preliminary short report which generates a lack of justification and delimitation of its scope. (ii) References’ identification and data extraction are often limited due to lack of studies, and sometimes require the use of grey literature or other sources less informative, for example, trial registries. It can be challenging to exclude references related to other indications. (iii) The assessment of resource use and costs of running the technology is complicated due to the lack of public prices information and specific impacts of use. (iv) The evidence considered during the assessment usually does not meet high quality requirements (risk of bias) because of indirect evidence, lack of comparator or no having clearly defined outcomes, among others. (v) It's difficult to draw conclusions and, consequently, recommendations due to abovementioned aspects and especially for the usual evidence gap that faces this type of technology in early stages of diffusion and/or in a competition situation of manufacturer companies.

The most recent innovation in non-pharmacological technologies merits a differentiated assessment approach. However, there is need to reconsider the methodology applied in order to overcome the challenges and limitations identified.

The different incidence rates of, and risk factors for, depression in different countries argue for the need to have a specific risk algorithm for each country or a supranational risk algorithm. We aimed to develop and validate a predictD-Spain risk algorithm (PSRA) for the onset of major depression and to compare the performance of the PSRA with the predictD-Europe risk algorithm (PERA) in Spanish primary care.

A prospective cohort study with evaluations at baseline, 6 and 12 months. We measured 39 known risk factors and used multi-level logistic regression and inverse probability weighting to build the PSRA. In Spain (4574), Chile (2133) and another five European countries (5184), 11 891 non-depressed adult primary care attendees formed our at-risk population. The main outcome was DSM-IV major depression (CIDI).

Six variables were patient characteristics or past events (sex, age, sex×age interaction, education, physical child abuse, and lifetime depression) and six were current status [Short Form 12 (SF-12) physical score, SF-12 mental score, dissatisfaction with unpaid work, number of serious problems in very close persons, dissatisfaction with living together at home, and taking medication for stress, anxiety or depression]. The C-index of the PSRA was 0.82 [95% confidence interval (CI) 0.79–0.84]. The Integrated Discrimination Improvement (IDI) was 0.0558 [standard error (s.e.)=0.0071, Zexp=7.88, p<0.0001] mainly due to the increase in sensitivity. Both the IDI and calibration plots showed that the PSRA functioned better than the PERA in Spain.

The PSRA included new variables and afforded an improved performance over the PERA for predicting the onset of major depression in Spain. However, the PERA is still the best option in other European countries.