1,721,036 research outputs found
Psychosocial factors contributing to value creation in value-based healthcare: a scoping review
No full textBackground: Healthcare systems constantly evolve to improve care quality and resource utilization. One way is implementing Value-Based Healthcare (VBHC) an economic approach. This scoping review aims to identify and describe the literature on VBHC, particularly its psychosocial aspects, to uncover research gaps. Method: The review followed the PRISMA guidelines for Scoping Reviews. We took the following 14 steps: (a) defining the research question; (b) identifying relevant studies; (c) selecting studies; (d) 15 mapping data; (e) collecting, synthesizing and reporting results. A detailed Boolean search was conducted from January 2021 to August 31, 2021, across APA PsycINFO and PubMed databases using keywords such as “Value-Based Healthcare” and “psychosocial perspective.” Initially, three reviewers screened 70 e-records independently, assessing titles, abstracts, and full-text against the inclusion criteria. Discrepancies regarding the evaluation of the articles were resolved through consensus sessions between the reviewers. Results: The final review included 14 relevant e-records in English from peer-reviewed sources, focusing on quantitative and qualitative research. From the analysis, four areas emerged: (1) Value chains in Healthcare; (2) Styles, activities, and practices of value co-creation in Healthcare; (3) Value co-creation in the encounter process; (4) Value co-creation in preventive health services. Conclusion: The scoping review findings suggest several potential key aspects, including the interdependence between patients and healthcare organizations, organizational culture in healthcare, and the role of patient-centered approaches that focus on relationships, communication, and social support in healthcare. This can be achieved through patient engagement, patient-centered care and communication, health literacy, psychosocial support services, comprehensive psychosocial assessments, care coordination, and continuity of care. Integrating psychosocial elements in VHBC enhances quality and optimizes resource use. Findings highlight the need to develop practical guidance on how to implement a culture of value in care that takes into account the psychosocial aspects that have emerged, but not fully addressed. The pandemic teaches that the workforce poorly receives sudden and unsystematic changes. This review could provide an initial basis for the redesign of value in healthcare and a paradigm shift that has already begun with patient-centered medicine and patient engagement
The Impact of University-Related Variables on Students’ Perceived Employability and Mental Well-Being: An Italian Longitudinal Study
No full textThe COVID-19 outbreak has had a disruptive impact on the academic context and labor market. Indeed, the pandemic shock in such fields has been related to several changes with implications for young people’s careers and well-being. This two-wave longitudinal study, conducted in Italy, aimed to explore the predictiveness of some individual and organizational factors on students’ perceived employability and well-being. A total of 301 Italian students, aged between 18 and 33 (M = 20.63, SD = 1.99), completed a self-report questionnaire measuring career ambition, university reputation, university commitment, technostress related to technology-enhanced learning, perceived employability, and mental well-being at both time points. A path analysis showed that career ambition, university reputation, and organizational commitment positively predicted employability, which, in addition to such variables, positively affected well-being. In contrast, technostress was identified as a risk factor both for students’ perceptions of finding a job and for their well-being. These findings provide a theoretical contribution to a better understanding of the factors involved in undergraduates’ perceived employability and well-being. Moreover, they suggest the need to improve academic-related variables to enhance individuals’ resources in coping with the pandemic challenges
How opinion leaders and operators communicate the image of the sustainable tourism destination
No full textSpiritual and cultural routes represent an example of a sustainable tourist destination, meaning a destination with the goal of generating economic activity while simultaneously safeguarding environmental and cultural heritage. In this regard, the Region of Sardinia, through its cultural and spiritual routes, is trying to counter mass tourism and promote the development of slow and sustainable tourism. In light of the region’s objectives, it is interesting to understand how the image of the sustainable destination of Sardinia’s spiritual and cultural routes is perceived and communicated. Specifically, the aim is to understand the image that emerges from the communication of opinion leaders and operators. To achieve the research objective, a mixed-method QUAL-QUAL approach was used, combining auto-photography with participant observation. Auto-photography was used to analyse destination photographs shared by opinion leaders and operators to understand how the image of the sustainable destination was communicated. In addition, participant observation was conducted to enhance the study’s insights through the engagement and direct observation of participants’ experiences. The integration of these two methodologies allowed us to establish the overall destination image. From the research results, it is evident that the overall image portrays a model of slow, experiential, and sustainable tourism. However, the results demonstrated that it needs to be further developed to fully realize its potential. Participant observation revealed that Sardinia is trying to preserve its authenticity and promote slow and sustainable tourism. Still, several challenges have surfaced including limited development, absence of laws to facilitate tourism activities, the need for new professional roles, and slow bureaucracy. The auto-photography revealed that opinion leaders and operators communicate aspects related to slow tourism through photographs, such as the pleasant, uncomplicated, and unhurried experiences. Nevertheless, the communication remains fairly standard, failing to emphasize the destination image’s sustainability, but focusing on aspects related to the cognitive dimension (e.g., beautiful scenery, a variety of fauna, and religious elements). From a theoretical perspective, the subject of sustainable destination image has been relatively underexplored, particularly within the context of cultural and spiritual routes. From a managerial perspective, this study provides insights into the image communicated and promoted by opinion leaders and operators. This enables organizations to assess whether the intended image aligns with that perceived by visitors and, if necessary, adjust their strategies accordingly
Spatio-temporal prediction using graph neural networks: A survey
No full textThe analysis of spatial time series is increasingly relevant as spatio-temporal data are becoming widespread due to the ever-growing diffusion of data acquisition devices. Spatio-temporal prediction is crucial for grasping insights on spatio-temporal dynamics in diverse domains. In many cases, spatio-temporal data can be effectively represented using graphs, thus making Graph Neural Networks the most sounding deep learning architecture for the modelling of spatio-temporal series. The aim of the work is to provide a self-consistent and thorough overview on Graph Neural Networks for spatio-temporal prediction, giving a taxonomy of the diverse approaches proposed in the literature. Moreover, attention is paid to the description of the most used benchmarks and metrics in different real-world spatio-temporal domains and to the discussion of the main drawbacks of spatio-temporal Graph Neural Networks. Furthermore, unlike other similar works on deep learning, statistical methods for spatio-temporal modelling are briefly surveyed in this work. Finally, insights on future developments of Graph Neural Networks for spatio-temporal prediction are suggested
Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network
No full textNitrogen dioxide pollution is an ongoing and growing environmental issue that affects human health in developed Western countries. This study introduced a Bayesian attention-based deep neural network model for predicting ground-level nitrogen dioxide concentrations. The proposed model integrates the principles of the Bayesian neural network and the attention mechanism, enabling it to produce predicted values and their associated uncertainties, expressed as standard deviations. The proposed model was validated using 2020 data collected from 520 European Environmental Agency stations, located in Italy. The performance of the model was assessed using the mean absolute error
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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Career Competencies and Career Success: On the Roles of Employability Activities and Academic Satisfaction During the School-to-Work Transition
No full textBuilding on the integrative career competencies framework, we examined the indirect association between career competencies, assessed at graduation, and subjective career success (SCS) via employability activities, both assessed six months after graduation, among a sample of 613 Italian graduates. We also examined the moderating role of three facets of academic satisfaction (i.e., vocational choice, educational goals, and occupational prospects). Our findings showed an indirect relation between career competencies and SCS through employability activities. Furthermore, academic satisfaction acted as a moderator. The results of this time-lagged study, that tapped into the actual transition into work process, have implications for (1) school-to-work transitions, providing insights into graduates’ transition into the labor market, (2) employability, focusing on employability activities and providing additional knowledge on their antecedents and outcomes,and (3) career competencies,providing further empirical evidence that career competencies are an important resource that graduates can mobilize to during and after their school-to-work transition
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