1,720,977 research outputs found
Su di un caso di responsabilità civile del chirurgo estetico per intervento di liposuzione-lipofilling
No full textConsiderazioni medico legali su un caso di responsabilità professionale per paralisi ostetrica post-partum
No full textConsiderazioni medico legali su un caso controverso di infezione post-trasfusionale da virus epatitico
No full text
Working in “smart” mode during the Covid-19 pandemic. Validation of a questionnaire in the healthcare sector
Full text linkBackground. During the most difficult phases of the Covid-19 health emergency, when access to the usual work location was not allowed due to the constraints related to the pandemic, Smart Working enabled business continuity in the face of the ongoing health emergency. Modern technology serves a new way of working, allowing workers to effectively manage their professional and personal spheres in a world that increasingly requires them to optimize their time. The main objective of this research is to validate a Smart Working questionnaire administered to healthcare workers. Methods. The questionnaire, reported in Annex I, consisting of 30 questions and submitted electronically through Google Forms, was administered in Italian to healthcare personnel of the Teaching hospital Umberto I and Sapienza University of Rome between September and October 2020. The questionnaire analyzed the characteristics of the sample and investigated the perception and attitude of healthcare personnel towards seven different aspects of Smart Working. A descriptive analysis of the sample examined and an internal consistency analysis was performed through the use of the SPSS (Statistical Package for Social Science) program version 25.0. Cronbach's alpha statistical indicator, which measures reproducibility over time, reliability, and homogeneity of questions, was used for the analysis. Results. A total number of 53 health care providers answered the online questionnaire. The majority of the respondents were female (60.4%); 73.6% of respondents reported having a college degree or a higher educational level. The analysis showed an overall standardized Cronbach's Alpha of 0.709, which corresponds to a good reliability. In the items analysis, the alpha value ranged from a minimum of 0.652 to a maximum of 0.756. Conclusions. The present tool is adequate to investigate attitudes towards Smart Working among healthcare workers
Gender perspective in occupational medicine and workplace risk assessment: state of the art and research agenda
Full text linkThe aim of this study was to investigate the current situation and the research agenda in the field of gender differences, both generically in the occupational settings and in the specific activity of risk assessment. Gender is a key determinant of health; the evaluation of documents and scientific literature shows increasing attention to a gender oriented approach, as demonstrated by the development of Gender Medicine, actually cross-oriented in all medical specialties, the publication of books dedicated to this topic and the birth of "ad hoc" new scientific societies and journals. Even today, however, the gender differences are not considered as they should in the context of health disciplines, including occupational medicine. In this respect, in fact, the critical issues to be overcome are numerous, such as the phenomena of "segregation", the exposure to risk factors and their effects, related also to non-professional, socio-cultural features that differentiate male and female workers. All these factors can lead to situations of inequality in health. In fact, the European directives on safety at work repeatedly highlight the attention to gender differences in prevention, assessment and management of risks. In this regard, the European Agency for Safety and Health at Work advocates an approach "more sensitive" to gender in all the processes of assessment and risk management, from the research of all potential sources of risk to the decision-making processes, in order to address the prevention of risks in a holistic manner
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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