Studies conducted during the COVID-19 pandemic found high occurrence of suicidal thoughts and behaviours (STBs) among healthcare workers (HCWs). The current study aimed to (1) develop a machine learning-based prediction model for future STBs using data from a large prospective cohort of Spanish HCWs and (2) identify the most important variables in terms of contribution to the model’s predictive accuracy.

This is a prospective, multicentre cohort study of Spanish HCWs active during the COVID-19 pandemic. A total of 8,996 HCWs participated in the web-based baseline survey (May–July 2020) and 4,809 in the 4-month follow-up survey. A total of 219 predictor variables were derived from the baseline survey. The outcome variable was any STB at the 4-month follow-up. Variable selection was done using an L1 regularized linear Support Vector Classifier (SVC). A random forest model with 5-fold cross-validation was developed, in which the Synthetic Minority Oversampling Technique (SMOTE) and undersampling of the majority class balancing techniques were tested. The model was evaluated by the area under the Receiver Operating Characteristic (AUROC) curve and the area under the precision–recall curve. Shapley’s additive explanatory values (SHAP values) were used to evaluate the overall contribution of each variable to the prediction of future STBs. Results were obtained separately by gender.

The prevalence of STBs in HCWs at the 4-month follow-up was 7.9% (women = 7.8%, men = 8.2%). Thirty-four variables were selected by the L1 regularized linear SVC. The best results were obtained without data balancing techniques: AUROC = 0.87 (0.86 for women and 0.87 for men) and area under the precision–recall curve = 0.50 (0.55 for women and 0.45 for men). Based on SHAP values, the most important baseline predictors for any STB at the 4-month follow-up were the presence of passive suicidal ideation, the number of days in the past 30 days with passive or active suicidal ideation, the number of days in the past 30 days with binge eating episodes, the number of panic attacks (women only) and the frequency of intrusive thoughts (men only).

Machine learning-based prediction models for STBs in HCWs during the COVID-19 pandemic trained on web-based survey data present high discrimination and classification capacity. Future clinical implementations of this model could enable the early detection of HCWs at the highest risk for developing adverse mental health outcomes.

NCT04556565

Auditory system plasticity is a promising target for neuromodulation, cognitive rehabilitation and therapeutic development in schizophrenia (SZ). Auditory-based targeted cognitive training (TCT) is a ‘bottom up’ intervention designed to enhance the speed and accuracy of auditory information processing, which has been shown to improve neurocognition in certain SZ patients. However, the dynamics of TCT learning as a function of training exercises and their impact on neurocognitive functioning and therapeutic outcomes are unknown.

Forty subjects (SZ, n = 21; healthy subjects (HS), n = 19) underwent comprehensive clinical, cognitive, and auditory assessments, including measurements of auditory processing speed (APS) at baseline and after 1-h of TCT. SZ patients additionally completed 30-hours of TCT and repeated assessments ~10–12 weeks later.

SZ patients were deficient in APS at baseline (d = 0.96, p < 0.005) relative to HS. After 1-h of TCT, analyses revealed significant main effects of diagnosis (d = 1.75, p = 0.002) and time (d = 1.04, p < 0.001), and a diagnosis × time interaction (d = 0.85, p = 0.02) on APS. APS learning effects were robust after 1-h in SZ patients (d = 1.47, p < 0.001) and persisted throughout the 30-h of training. Baseline APS was associated with verbal learning gains after 30-h of TCT (r = 0.51, p = 0.02) in SZ.

TCT learning metrics may have prognostic utility and aid in the prospective identification of individuals likely to benefit from TCT. Future experimental medicine studies may advance predictive algorithms that enhance TCT-related clinical, cognitive and functional outcomes.

There is a lack of standardised psychometric data in electronic health record (EHR)-based research. Proxy measures of symptom severity based on patients' clinical records may be useful surrogates in mental health EHR research.

This study aimed to validate proxy tools for the short versions of the Positive and Negative Syndrome Scale (PANSS-6), Young Mania Rating Scale (YMRS-6) and Montgomery–Åsberg Depression Rating Scale (MADRS-6).

A cross-sectional, multicentre study was conducted in a sample of 116 patients with first-episode psychosis from 12 public hospitals in Spain. Concordance between PANSS-6, YMRS-6 and MADRS-6 scores and their respective proxies was evaluated based on information from EHR clinical notes, using a variety of statistical procedures, including multivariate tests to adjust for potential confounders. Bootstrapping techniques were used for internal validation, and an independent cohort from the Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne, Switzerland) for external validation.

The proxy versions correlated strongly with their respective standardised scales (partial correlations ranged from 0.75 to 0.84) and had good accuracy and discriminatory power in distinguishing between patients in and not in remission (percentage of patients correctly classified ranged from 83.9 to 91.4% and bootstrapped optimism-corrected area under the receiver operating characteristic curve ranged from 0.76 to 0.89), with high interrater reliability (intraclass correlation coefficient of 0.81). The findings remained robust in the external validation data-set.

The proxy instruments proposed for assessing psychotic and affective symptoms by reviewing EHR provide a feasible and reliable alternative to traditional structured psychometric procedures, and a promising methodology for real-world practice settings.

To investigate the occurrence of traumatic stress symptoms (TSS) among healthcare workers active during the COVID-19 pandemic and to obtain insight as to which pandemic-related stressful experiences are associated with onset and persistence of traumatic stress.

This is a multicenter prospective cohort study. Spanish healthcare workers (N = 4,809) participated at an initial assessment (i.e., just after the first wave of the Spain COVID-19 pandemic) and at a 4-month follow-up assessment using web-based surveys. Logistic regression investigated associations of 19 pandemic-related stressful experiences across four domains (infection-related, work-related, health-related and financial) with TSS prevalence, incidence and persistence, including simulations of population attributable risk proportions (PARP).

Thirty-day TSS prevalence at T1 was 22.1%. Four-month incidence and persistence were 11.6% and 54.2%, respectively. Auxiliary nurses had highest rates of TSS prevalence (35.1%) and incidence (16.1%). All 19 pandemic-related stressful experiences under study were associated with TSS prevalence or incidence, especially experiences from the domains of health-related (PARP range 88.4–95.6%) and work-related stressful experiences (PARP range 76.8–86.5%). Nine stressful experiences were also associated with TSS persistence, of which having patient(s) in care who died from COVID-19 had the strongest association. This association remained significant after adjusting for co-occurring depression and anxiety.

TSSs among Spanish healthcare workers active during the COVID-19 pandemic are common and associated with various pandemic-related stressful experiences. Future research should investigate if these stressful experiences represent truly traumatic experiences and carry risk for the development of post-traumatic stress disorder.

Auditory frequency modulation learning (‘auditory learning’) is a key component of targeted cognitive training (TCT) for schizophrenia. TCT can be effective in enhancing neurocognition and function in schizophrenia, but such gains require significant time and effort and elude many patients.

As a strategy to increase and/or accelerate TCT-induced clinical gains, we tested the dose- and time-course effects of the pro-attentional drug, amphetamine (AMPH; placebo, 2.5, 5 or 10 mg po; within-subject double-blind, order balanced) on auditory learning in schizophrenia patients [n = 32; M:F = 19:13; age 42.0 years (24–55)]. To understand predictors and/or mechanisms of AMPH-enhanced TCT, we also measured auditory fidelity (words-in-noise (WIN), quick speech-in-noise (QuickSIN)) and neurocognition (MATRICS comprehensive cognitive battery (MCCB)). Some measures were also acquired from age-matched healthy subjects (drug free; n = 10; M:F = 5:5).

Patients exhibited expected deficits in neurocognition. WIN and QuickSIN performance at low signal intensities was impaired in patients with low v. high MCCB attention/vigilance (A/V) scores; these deficits were corrected by AMPH, maximally at 2.5–5 mg (d's = 0.79–1.29). AMPH also enhanced auditory learning, with maximal effects at 5 mg (d = 0.93), and comparable effects 60 and 210 min post pill. ‘Pro-learning’ effects of AMPH and AMPH-induced gains in auditory fidelity were most evident in patients with low MCCB A/V scores.

These findings advance our understanding of the impact of pro-attentional interventions on auditory information processing and suggest dose- and time-course parameters for studies that assess the ability of AMPH to enhance the clinical benefits of TCT in schizophrenia patients.

To analyse the information on health claims present in the labelling of creatine monohydrate (CM) products.

A descriptive study of a selection of products marketed as CM, with health claims, and that met the inclusion/exclusion criteria, was conducted using the Amazon and Google Shopping websites. The adequacy and compliance of the health claims were evaluated with the European legislative requirements (European Food Safety Authority and European Commission). The results were discussed with scientific evidence criteria from the Academy of Nutrition and Dietetics, International Olympic Committee, and International Society of Sports Nutrition, as well as the systematic review carried out by Mielgo-Ayuso in 2019.

Health claims in the commercial communications of a sample of CM supplements, in relation to current legislation and scientific knowledge.

A total of 554 CM products were obtained.

Of the total sample, only 167 met the inclusion/exclusion criteria. Of these, 30·5 % recommended a CM dose of 5·0–5·9 g/d, while 29·9 % recommended 3·0 to 3·9 g/d. As for the health claims, ‘Enhances physical performance’ appeared in 73·1 % of the supplements, in most cases referring to a dosage of 3·0 to 3·9 g/d for these products. The rest of the declarations were not adequate or needed to be modified.

Only 25 % of the health claims complied with the criteria established by the scientific reference documents. Most of the declarations must be modified or eliminated, as they could be considered fraudulent and/or misleading for the consumer.

The Spanish Network of Agencies for Assessing National Health System Technologies and Performance (RedETS) defined a patient involvement (PI) framework for health technology assessment (HTA) activities in 2016. The aim of this study is to evaluate the process and impact of those PI initiatives that were implemented in the first year following the publication of this new framework.

A survey was sent to those HTA researchers who implemented PI in RedETS projects. Responses were reviewed by two authors. An adapted thematic analysis was performed and the results were later discussed by all authors.

Six responses from six agencies/units were analyzed. The objectives of PI initiatives were the following: inclusion of patient perspectives, preferences and values; elicitation of important health outcomes measures; and barriers, facilitators, or suggestions for implementation. Different methods were used for PI: surveys, focus groups, in depth interviews, and participation in an expert panel. Five main themes emerged: (i) challenges with the recruitment process, (ii) needs identified, (iii) impact of PI, (iv) lessons learned, and (v) suggestions for the future.

PI initiatives within the RedETS framework were tailored to each HTA project, its specific goals and the individual needs and resources of each HTA agency. The results also pointed out how PI has a relevant impact that has enriched RedETS products providing key information on experiences, values, and preferences of patients, contributions that benefit the HTA and the process of drawing up recommendations. The main challenges were related to recruitment processes and capacity building.

The authors have not supplied their declaration of competing interest.

The Spanish network of health technology assessment (HTA) agencies (REDETS) is a collaboration of eight agencies, units and services, commissioned by the national and regional governments. The network coordinates work within a common methodological and work framework, guided by the principles of mutual recognition and cooperation. In 2016, a common self-assessment quality tool was developed for the implementation of an overall Quality Management System. Currently we are working on the second step that deals with actions about management, joint activities as a network, and organizational aspects of the network.

A structured search strategy in the main electronic databases and a manual search in websites of networks national and international agencies were carried out in June 2017, in order to gather previous knowledge and developed standards. Through the information included in this review, and with the collaboration of all members, a group of standards for REDETS was developed. Finally, standards proposed were discussed in a face-to face meeting until an agreement was reached.

A proposal of 31 standards was put forward taking all the collected information. The aim of each standard was defined, and its level of compliance was specified. Those standards were grouped under nine quality criteria structured in four dimensions: (i) Responsibility and Resources, (ii) Performance and Membership, (iii) Procedures, and (iv) Relations.

Based on the gathered information and the agreement of the all members, we developed a toolkit embracing a group of standards for the joint activities within the Spanish Network, network administration and management. It is a complementary instrument of the previous self-evaluating tool, following the establishment of an overall quality management system and under the philosophy of continuous improvement processes.