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This paper explores the dynamics of social exclusion as measured by material and social deprivation in the particularly exposed category of single-parent households. We aim to assess whether there is true state dependence in deprivation and the role of other household factors, as well as that of the macro-economic and social welfare scenario. We use 2015–2018 European Union Statistics on Income and Living Conditions longitudinal data to explore a large set of European countries. We estimate three-level dynamic probit models that enable us to account for micro- and country-level unobserved heterogeneity. Our results suggest that material and social deprivation is likely to be a trap for single-parent households and that this effect is stronger for these households than for those composed of two adults and children. Among single-parent households, those headed by a female are worse off than those headed by a male. The policy implications of these findings are also discussed.

The 2030 Agenda of the United Nations clearly sets the inclusion of persons with disabilities in the labour market as a main goal. However, especially in care welfare systems characterized by a low level of social services, disability not only impacts the labour market participation of disabled people themselves but may also affect the labour opportunities of other members of their household. Using EU-SILC data to compute individual work intensity-as a better measure of the actual level of labour attainment-this paper aims to disentangle direct and indirect correlations between disability and labour market participation in Italian households. In confirming the negative direct correlation between disability and labour market participation, the results also show a negative indirect correlation that depends on the family relationship between the disabled person and household members.

The paper explores the heterogeneity behind the production of innovation at the regional level We empirically estimate the innovation equation with EU regional data using either patents or innovative sales in the region as dependent variable. The empirical model accounts for external, spillover, effects and allows for parameter heterogeneity among preselected groups of regions. Findings suggest that expenditures in Research & Development (R&D) lead to patents while non-R&D expenditures drive the innovative sales. For both types of expenditure, we find relatively weaker effects on innovation in the regions belonging to the New Member States and in Convergence regions but we find significant spillover effects. The evidence provides full support to the argument that a faster diffusion of knowledge can accelerate the process of technological convergence in Europe, but still draws a picture of the innovation Union characterized by a marked and persistent core-periphery pattern.

PurposeCitizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research. Citizen Science is facing major challenges, such as quality and consistency, to reap open the full potential of its outputs and outcomes, including data, software and results. In this context, the principles put forth by Data Science and Open Science domains are essential for alleviating these challenges, which have been addressed at length in these domains. The purpose of this study is to explore the extent to which Citizen Science initiatives capitalise on Data Science and Open Science principles.Design/methodology/approachThe authors analysed 48 Citizen Science projects related to pollution and its effects. They compared each project against a set of Data Science and Open Science indicators, exploring how each project defines, collects, analyses and exploits data to present results and contribute to knowledge.FindingsThe results indicate several shortcomings with respect to commonly accepted Data Science principles, including lack of a clear definition of research problems and limited description of data management and analysis processes, and Open Science principles, including lack of the necessary contextual information for reusing project outcomes.Originality/valueIn the light of this analysis, the authors provide a set of guidelines and recommendations for better adoption of Data Science and Open Science principles in Citizen Science projects, and introduce a software tool to support this adoption, with a focus on preparation of data management plans in Citizen Science projects.

ImportanceDuring the SARS-CoV-2 pandemic, a complete physical isolation has been worldwide introduced. The impossibility of visiting their loved ones during the hospital stay causes additional distress for families: in addition to the worries about clinical recovery, they may feel exclusion and powerlessness, anxiety, depression, mistrust in the care team and post-traumatic stress disorder. The impossibility of conducting the daily meetings with families poses a challenge for healthcare professionals.ObjectiveThis paper aims to delineate and share consensus statements in order to enable healthcare team to provide by telephone or video calls an optimal level of communication with patient’s relatives under circumstances of complete isolation.Evidence reviewPubMed, Cochrane Database of Systematic Reviews, Database of Abstracts and Reviews of Effectiveness and the AHCPR Clinical Guidelines and Evidence Reports were explored from 1999 to 2019. Exclusion criteria were: poor or absent relevance regarding the aim of the consensus statements, studies prior to 1999, non-English language. Since the present pandemic context is completely new, unexpected and unexplored, there are not randomised controlled trials regarding clinical communication in a setting of complete isolation. Thus, a multiprofessional taskforce of physicians, nurses, psychologists and legal experts, together with some family members and former intensive care unit patients was established by four Italian national scientific societies. Using an e-Delphi methodology, general and specific questions were posed, relevant topics were argumented, until arriving to delineate position statements and practical checklist, which were set and evaluated through an evidence-based consensus procedure.FindingsTen statements and two practical checklists for phone or video calls were drafted and evaluated; they are related to who, when, why and how family members must be given clinical information under circumstances of complete isolation.Conclusions and relevanceThe statements and the checklists offer a structured methodology in order to ensure a good-quality communication between healthcare team and family members even in isolation, confirming that time dedicated to communication has to be intended as a time of care.

If KRAS mutation status of primary colorectal tumor is representative of corresponding colorectal liver metastases (CRLM) mutational pattern, is controversial. Several studies have reported different rates of KRAS discordance, ranging from 4 to 32%. Aim of this study is to assess the incidence of discordance and its impact on overall survival (OS) in a homogenous group of patients. KRAS mutation status was evaluated in 107 patients resected for both primary colorectal tumor and corresponding CRLM at the same institution, between 2007 and 2018. Discordance rate was 15.9%. Its incidence varied according to the time interval between the two mutation analyses (p = 0.025; Pearson correlation = 0.2) and it was significantly higher during the first 6 months from the time of primary tumor evaluation. On multivariable analysis, type of discordance (wild-type in primary tumor, mutation in CRLM) was the strongest predictor of poor OS (p < 0.001). At multivariable logistic regression analysis, the number of CRLM >3 was an independent risk factor for the risk of KRAS discordance associated with the worst prognosis (OR = 4.600; p = 0.047). Results of our study suggested that, in the era of precision medicine, possibility of KRAS discordance should be taken into account within multidisciplinary management of patients with metastatic colorectal cancer.