We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
New advancements in radio data post-processing are underway within the Square Kilometre Array (SKA) precursor community, aiming to facilitate the extraction of scientific results from survey images through a semi-automated approach. Several of these developments leverage deep learning methodologies for diverse tasks, including source detection, object or morphology classification, and anomaly detection. Despite substantial progress, the full potential of these methods often remains untapped due to challenges associated with training large supervised models, particularly in the presence of small and class-unbalanced labelled datasets.
Self-supervised learning has recently established itself as a powerful methodology to deal with some of the aforementioned challenges, by directly learning a lower-dimensional representation from large samples of unlabelled data. The resulting model and data representation can then be used for data inspection and various downstream tasks if a small subset of labelled data is available.
In this work, we explored contrastive learning methods to learn suitable radio data representations by training the SimCLR model on large collections of unlabelled radio images taken from the ASKAP EMU and SARAO MeerKAT GPS surveys. The resulting models were fine-tuned over smaller labelled datasets, including annotated images from various radio surveys, and evaluated on radio source detection and classification tasks. Additionally, we employed the trained self-supervised models to extract features from radio images, which were used in an unsupervised search for objects with peculiar morphology in the ASKAP EMU pilot survey data. For all considered downstream tasks, we reported the model performance metrics and discussed the benefits brought by self-supervised pre-training, paving the way for building radio foundational models in the SKA era.
Can public diplomacy in times of crisis shape citizens’ attitudes towards international politics? Using a survey experiment in Italy, we evaluated whether information cues about public diplomacy efforts by the United States and China to assist the country in dealing with the COVID-19 emergency shifted the importance citizens attached to Italy’s international allies being democracies. We found that citizens who receive positive cues about USA efforts to assist Italy report a stronger preference for Italy interacting with democracies. At the same time, when they received positive cues about China’s efforts to assist Italy, they discounted the importance attached to international allies being democracies. We further found that these effects are conditional on the participants’ support for democracy at home. We argue that these findings are consistent with a cognitive dissonance framework where citizens update their attitudes to decrease dissonant cognitions when they receive information that challenges prior beliefs or expectations.
In ESCAPE-TRD, esketamine nasal spray (ESK-NS) significantly increased the probability of remission at Week (Wk)8 and being relapse‑free through Wk32 after remission at Wk8 versus (vs) quetiapine extended-release (QTP-XR), in patients (pts) with treatment resistant depression (TRD). Safety data were consistent with established profiles of each treatment, with no new safety signals identified (Reif et al. DGPPN 2022; P-01-04).
Objectives
To explore weight changes and their impact on treatment discontinuation in ESCAPE-TRD.
Methods
ESCAPE‑TRD (NCT04338321) was a randomised, open-label, rater-blinded, phase IIIb trial comparing efficacy and safety of ESK-NS vs QTP-XR in pts with TRD. Safety analyses were conducted on pts who received ≥1 dose of study treatment. Treatment-emergent adverse events (TEAEs) were defined as occurring at or after the first dose of study treatment and within 14 days/30 days (non-serious/serious) of the last dose. A ≥7% increase/decrease in weight from screening was considered for evaluation as a TEAE. Weights were measured and are reported as observed, with no missing data imputation.
Results
336 and 340 pts were randomised to ESK-NS and QTP-XR; 334 and 336 were included in the safety population. Over the 32-week study, a TEAE of weight increase was reported in fewer pts treated with ESK-NS than QTP-XR (9 [2.7%] vs 42 [12.5%]), leading to treatment discontinuation in 0 vs 6 (1.8%) pts, respectively. Incidences of weight increase TEAEs were balanced across pts categorised as normal, overweight or obsese by baseline body mass index (BMI; Figure). A weight decrease TEAE was reported in 7 pts (2.1%) in the ESK-NS arm vs 0 pts in the QTP-XR arm. Mean (standard deviation [SD]) weight at baseline was 76.4 (16.2) kg (ESK-NS; n=334) vs 79.1 (16.9) kg (QTP-XR; n=336). At Wk32, mean weight was maintained (76.5 [16.3] kg) in ESK-NS treated pts (n=249; mean [SD] change from baseline: 0.1 [4.0] kg) and increased (80.7 [15.6] kg) in QTP-XR treated pts (n=203; mean [SD] change from baseline: 2.5 [5.1] kg).
Image:
Conclusions
Increase in weight was uncommon with ESK-NS; weight increases were more common with QTP-XR and resulted in more treatment discontinuations. Weight increase was independent from baseline BMI.
Acknowledgements
We thank the patients who participated. Funding: Janssen, medical writing: Costello Medical, UK
People with mental disorders frequently report experiences of discrimination within mental health services, which can have significant detrimental effects on individuals’ well-being and recovery. This study aimed to develop and validate a new standardized measure aiming to assess experiences of stigmatization among people with mental disorders within mental health services.
Methods
The scale was developed in Italian and tested for ease of use, comprehension, acceptability, relevance of items and response options within focus group session. A cross-sectional validation survey was conducted among mental health service users in Italy. Exploratory factor analysis with Promax oblique rotation, the Kaiser–Meyer–Olkin (KMO) measure of sampling adequacy and the Bartlett’s test of sphericity were used to assess the suitability of the sample for factor analysis. Reliability was assessed as internal consistency using Cronbach’s alpha and as test–retest reliability using weighted kappa and intraclass correlation coefficient (ICC). Precision was examined by Kendall’s tau-b coefficient.
Results
Overall, 240 people with mental disorders participated in the study; 56 also completed the retest evaluation after 2 weeks. The 18 items of the scale converged over a two-factor solution (‘Dignity violation and personhood devaluation’ and ‘Perceived life restrictions and social exclusion’), accounting for 56.4% of the variance (KMO 0.903; Bartlett’s test p < 0.001). Cronbach’s alpha for the total score was 0.934. The scale showed one item with kappa above 0.81, four items between 0.61 and 0.80, ten items between 0.41 and 0.60, two items between 0.21 and 0.40 and only one item below 0.20. ICC was 0.928 (95% CI 0.877–0.958). Kendall’s tau-b ranged from 0.450 to 0.617 (p < 0.001).
Conclusions
The newly developed scale represents a valid and reliable measure for assessing experiences of stigma among patients receiving care within mental health services. The scale has provided initial evidence of being specifically tailored for individuals with psychotic and bipolar disorders. However, the factorial structure of the scale should be replicated through a confirmatory factor analysis on a larger sample of individuals with these conditions.
Recent arguments claim that behavioral science has focused – to its detriment – on the individual over the system when construing behavioral interventions. In this commentary, we argue that tackling economic inequality using both framings in tandem is invaluable. By studying individuals who have overcome inequality, “positive deviants,” and the system limitations they navigate, we offer potentially greater policy solutions.
WHO declared that mental health care should be considered one essential health service to be maintained during the coronavirus disease 2019 (COVID-19) pandemic. This study aims to describe the effect of lockdown and restrictions due to the COVID-19 pandemic in Italy on mental health services’ utilisation, by considering psychiatric diagnoses and type of mental health contacts.
Methods
The study was conducted in the Verona catchment area, located in the Veneto region (northeastern Italy). For each patient, mental health contacts were grouped into: (1) outpatient care, (2) social and supportive interventions, (3) rehabilitation interventions, (4) multi-professional assessments, (5) day care. A ‘difference in differences’ approach was used: difference in the number of contacts between 2019 and 2020 on the weeks of lockdown and intermediate restrictions was compared with the same difference in weeks of no or reduced restrictions, and such difference was interpreted as the effect of restrictions. Both a global regression on all contacts and separate regressions for each type of service were performed and Incidence Rate Ratios (IRRs) were calculated.
Results
In 2020, a significant reduction in the number of patients who had mental health contacts was found, both overall and for most of the patients’ characteristics considered (except for people aged 18–24 years for foreign-born population and for those with a diagnosis of schizophrenia. Moreover, in 2020 mental health contacts had a reduction of 57 096 (−33.9%) with respect to 2019; such difference remained significant across the various type of contacts considered, with rehabilitation interventions and day care showing the greatest reduction. Negative Binomial regressions displayed a statistically significant effect of lockdown, but not of intermediate restrictions, in terms of reduction in the number of contacts. The lockdown period was responsible of a 32.7% reduction (IRR 0.673; p-value <0.001) in the overall number of contacts. All type of mental health contacts showed a reduction ascribable to the lockdown, except social and supportive interventions.
Conclusions
Despite the access to community mental health care during the pandemic was overall reduced, the mental health system in the Verona catchment area was able to maintain support for more vulnerable and severely ill patients, by providing continuity of care and day-by-day support through social and supportive interventions.
Care needs represent an essential paradigm in planning residential facility (RF) interventions. However, possible disagreements between users and staff are critical issues in service delivery. The Experience Sampling Method (ESM) tracks experiences in the real world and real time. This study aimed to evaluate the care needs of patients with schizophrenia spectrum disorder (SSD) in RFs and its association with daily activities and mood monitored using the ESM.
Methods
As part of the DIAPASON project, 313 residents with SSD were recruited from 99 Italian RFs. Sociodemographic and clinical characteristics were recorded. Care needs, the severity of symptomatology and negative symptoms were assessed. Fifty-six residents were also assessed for 7 consecutive days using the mobile ESM. Descriptive, agreement, predictor and moderator analyses were conducted.
Results
The staff rated a higher number of total and met needs than service users (p < 0.001). Only a slight agreement between users and staff on unmet needs was found in self-care (k = 0.106) and information (k = 0.100) needs, while a moderate agreement was found in accommodation (k = 0.484), food (k = 0.406), childcare (k = 0.530), physical health (k = 0.470), telephone (k = 0.458) and transport (k = 0.425) needs. Older age (−0.15; p < 0.01), longer SSD diagnosis (−0.16; p < 0.01), higher collaboration (−0.16; p < 0.01) and lower symptomatology (−0.16; p < 0.01) decreased the number of unmet needs, while being a female (0.27; p < 0.05) and a shorter length of stay in an RF (0.54; p < 0.001) increased the number of unmet needs. A higher number of unmet needs was associated with a lower amount of time spent in leisure activities or reporting a positive mood: on the contrary, more unmet needs were associated with a greater amount of time spent in religious or non-productive activities. The associations between unmet needs rated by staff and users and momentary mood as assessed using the ESM were not moderated by the severity of symptomatology.
Conclusions
Although care needs are fundamental in planning residential activities aimed at recovery-oriented rehabilitation, RF interventions did not fully meet users' needs, and some disagreements on unmet needs between users and staff were reported. Further efforts are necessary to overcome Italian RF limits in delivering rehabilitative interventions defined by real users' needs to facilitate users' productivity and progress towards personal recovery.
Traditionally, the choice of an interpretive method and practice is contingent upon the governing law and nature of the agreement under scrutiny. In this respect, international commercial and investment tribunals have significantly contributed to shaping the pivotal role of legal interpretation within the parameters of international adjudication.
It is now undisputed that the internationalization of wide-ranging economic activities and the emergence of State contracts have reshaped the classic distinction between contracts and treaties, and softened the sharp dichotomy between the national and international orders. Despite the straightforwardness of the distinction between contract and treaty in principle, it is also evident that the distinction is not so clear-cut in practice and international arbitral tribunals are often asked to resolve disputes involving these two types of instruments. This practice has rendered it more difficult to separate the issue of interpretation from that of applicable law.
This entry’s point of departure is an analysis of the scope of the rules of interpretation in light of the growing overlap between legal orders, treaties and contracts. Engaging in a comparison of the methods of interpretation in contracts and treaties, the authors then examine the arbitrators’ gap-filling power when facing an ambiguous term or silence. Arbitral tribunals’ use of aids to interpretation and extrinsic evidence or ‘supplementary means’ to interpretation are also discussed.
We use data from Wine Spectator on 266,301 bottles from 12 countries sold in the United States to investigate the link between the score awarded by the guide and the price charged. The link between quality and price is positive, in line with the literature. In a deeper inspection, however, hedonic regressions show that the price premium attached to higher quality is significant only for “superstar” wines with more than 90 points (on a 50–100 scale), while prices of wines between 50 and 90 points are not statistically different from each other. Furthermore, an analysis performed through normal heteroskedastic and quantile regression models shows that the dispersion of quality-adjusted prices is described by an asymmetric U-shaped function of the score; that is, products with the lowest and highest quality have the highest residual standard deviation. Pursuing excellence is a risky strategy; the average price is significantly higher only for wines that achieve top scores, and the price premium becomes more volatile.
Edited by
Irene Cogliati Dezza, University College London,Eric Schulz, Max-Planck-Institut für biologische Kybernetik, Tübingen,Charley M. Wu, Eberhard-Karls-Universität Tübingen, Germany
Recent research in cognitive development has supported and built on Piaget’s idea that children’s active engagement with the physical and social world is a crucial component to their learning. In this chapter we offer an overview of the latest results from developmental, cognitive, computational, and educational research on children’s exploration and information search. In particular, we examine the various forms active learning can take across the life span. We start by describing the development of increasingly sophisticated forms of information solicitation in infants and preverbal children, and then draw a developmental trajectory of the effectiveness of children’s exploratory and sampling strategies as well as of their question asking. In doing so, we touch upon three main themes: Children’s sensitivity to environmental inputs, their competence as active learners, and their adaptiveness in tailoring their active learning strategies to different environmental structures. To conclude, we discuss some of the most pressing open questions and promising avenues for future developmental research on active learning and information search.
Scientific literature debates on the economic affordability of transcatheter aortic valve implantation (TAVI) in order to give a useful support to decision makers aiming at establishing a reimbursement scheme for TAVI. For this reason, it is important to assess the quality and the generalizability of the existing economic evidences.
Methods
The first step was to run a literature search according to a predefined population, intervention, comparator, and outcome on the cost and effectiveness of the TAVI procedure in comparison to medical therapy and traditional surgery. Second, a manual search was carried out on the Web sites of the main HTA agencies. Third, the checklist developed by Augustovski et al. was applied in order to assess the quality and the generalizability of the articles resulting from the selection process.
Results
Overall, 106 articles were obtained. Of these, sixty-five articles were excluded since the title was not consistent with the objective. Further selection took place after abstract and full-text reading. In the end, thirty-one documents were included for the review. According to the checklist, none of the articles was considered generalizable and only one was considered transferable which compares the TAVI procedure with Medical Management in inoperable patients.
Conclusions
Despite the overall quality of the selected studies was considered good, there is still a lack of evidence on whether evidences generated in different contexts can be considered generalizable. Further research on resource consumption and preferences is needed in order to provide decision makers with more robust evidences.
How does space matter in our analyses? How can we evaluate diffusion of phenomena or interdependence among units? How biased can our analysis be if we do not consider spatial relationships? All the above questions are critical theoretical and empirical issues for political scientists belonging to several subfields from Electoral Studies to Comparative Politics, and also for International Relations. In this special issue on methods, our paper introduces political scientists to conceptualizing interdependence between units and how to empirically model these interdependencies using spatial regression. First, the paper presents the building blocks of any feature of spatial data (points, polygons, and raster) and the task of georeferencing. Second, the paper discusses what a spatial matrix (W) is, its varieties and the assumptions we make when choosing one. Third, the paper introduces how to investigate spatial clustering through visualizations (e.g. maps) as well as statistical tests (e.g. Moran's index). Fourth and finally, the paper explains how to model spatial relationships that are of substantive interest to some of our research questions. We conclude by inviting researchers to carefully consider space in their analysis and to reflect on the need, or the lack thereof, to use spatial models.
Healthcare workers exposed to coronavirus 2019 (COVID-19) patients could be psychologically distressed. This study aims to assess the magnitude of psychological distress and associated factors among hospital staff during the COVID-19 pandemic in a large tertiary hospital located in north-east Italy.
Methods
All healthcare and administrative staff working in the Verona University Hospital (Veneto, Italy) during the COVID-19 pandemic were asked to complete a web-based survey from 21 April to 6 May 2020. Symptoms of post-traumatic distress, anxiety and depression were assessed, respectively, using the Impact of Event Scale (IES-R), the Self-rating Anxiety Scale (SAS) and the Patient Health Questionnaire (PHQ-9). Personal socio-demographic information and job characteristics were also collected, including gender, age, living condition, having pre-existing psychological problems, occupation, length of working experience, hospital unit (ICUs and sub-intensive COVID-19 units vs. non-COVID-19 units). A multivariable logistic regression analysis was performed to identify factors associated with each of the three mental health outcomes.
Results
A total of 2195 healthcare workers (36.9% of the overall hospital staff) participated in the study. Of the participants, 35.7% were nurses, 24.3% other healthcare staff, 16.4% residents, 13.9% physicians and 9.7% administrative staff. Nine per cent of healthcare staff worked in ICUs, 8% in sub-intensive COVID-19 units and 7.6% in other front-line services, while the remaining staff worked in hospital units not directly engaged with COVID-19 patients. Overall, 63.2% of participants reported COVID-related traumatic experiences at work and 53.8% (95% CI 51.0%–56.6%) showed symptoms of post-traumatic distress; moreover, 50.1% (95% CI 47.9%–52.3%) showed symptoms of clinically relevant anxiety and 26.6% (95% CI 24.7%–28.5%) symptoms of at least moderate depression. Multivariable logistic regressions showed that women, nurses, healthcare workers directly engaged with COVID-19 patients and those with pre-existing psychological problems were at increased risk of psychopathological consequences of the pandemic.
Conclusions
The psychological impact of the COVID-19 pandemic on healthcare staff working in a highly burdened geographical of north-east Italy is relevant and to some extent greater than that reported in China. The study provides solid grounds to elaborate and implement interventions pertaining to psychology and occupational health.
Despite international guidelines, cognitive behavioural therapy for early psychosis (CBTep) is still under-used in daily clinical practice, mainly due to the lack of specific skills among mental health professionals. The aim of the study was to evaluate the feasibility and efficacy of a CBTep training course and to investigate the impact of trainees’ variables on the level of skills acquisition. An intensive and graded CBTep training programme consisting of 112 hours of plenary lectures, 30 hours of group supervision and 3 months of practical training was offered to mental health professionals of 65 Italian community Mental Health Centers (CMHCs). CBT expert psychologists were used as the comparison group. Participants underwent pre-planned exams to test the level of skills acquisition and were requested to complete a satisfaction survey. The vast majority of participants (93%) completed the training with medium–high evaluation scores and reported to be highly satisfied with the course. CMHCs staff members achieved high scores in the examinations and no major differences between them and CBT expert psychologists were found in most of the final exam scores. Our results support the feasibility and the efficacy of the training to build specific CBTep capacity in a large cohort of professionals working in Italian Generalist Mental Health Services.
Key learning aims
(1) To understand the capacity building of a short training programme in CBT for early psychosis dedicated to community mental health professionals.
(2) To consider the optimal characteristics of a CBT training programme for early psychosis.
(3) To reflect on the feasibility of a CBT training programme for early psychosis in the context of Italian Community Mental Health Services.
What causes civilian victimization in conventional civil wars and in conventional wars that experience insurgencies? The authors argue that a key driver of civilian victimization is the vulnerability of the incumbent forces, specifically when the conflict’s front line is shifting. Vulnerability is a function of informational and logistical challenges: when the front line is moving, incumbents face increased informational uncertainty and unstable supply chains that augment their vulnerability. Thus, incumbents will increase the use of civilian victimization in response to a scarcity of high-quality information on the location and identity of insurgents, to limit possible information leaks, and to contain supply disruption and logistics support to adversaries. The authors support their argument using matched difference-in-differences analyses of original subnational data on Nazi-Fascist violence in World War II Italy (1943–1945) and qualitative evidence.
The quality of mental health services is crucial for the effectiveness and efficiency of mental healthcare systems, symptom reduction, and quality of life improvements in persons with mental illness. In recent years, particularly care coordination (i.e., the integration of care across different providers and treatment settings) has received increased attention and has been put into practice. Thus, we focused on care coordination in this update of a previous European Psychiatric Association (EPA) guidance on the quality of mental health services.
Methods.
We conducted a systematic meta-review of systematic reviews, meta-analyses, and evidence-based clinical guidelines focusing on care coordination for persons with mental illness in three literature databases.
Results.
We identified 23 relevant documents covering the following topics: case management, integrated care, home treatment, crisis intervention services, transition from inpatient to outpatient care and vice versa, integrating general and mental healthcare, technology in care coordination and self-management, quality indicators, and economic evaluation. Based on the available evidence, we developed 15 recommendations for care coordination in European mental healthcare.
Conclusions.
Although evidence is limited, some concepts of care coordination seem to improve the effectiveness and efficiency of mental health services and outcomes on patient level. Further evidence is needed to better understand the advantages and disadvantages of different care coordination models.
Behavioral policies are increasingly popular in a number of health care contexts. However, evidence of their effectiveness, specifically in low-income and highly disadvantaged populations, is limited. Some positive effects have been found for adaptive interventions, which merge more personalized approaches with advances in data collection and modern analytical methods. These approaches have only recently become feasible, as their implementation requires a confluence of large-scale datasets, contemporary machine learning, and validated behavioral insights. Such methods have considerable potential to improve outcomes without requiring substantial increases in effort on the part of individuals. Using examples from health insurance choice, clinical attendance rates, and prescription of medicines, we present an argument for how adaptive approaches, especially those considering disadvantaged populations explicitly, offer an opportunity to generate equity in public health.