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Objectives: Despite the proliferation of dashboards that display performance data derived from Qualified Clinical Data Registries (QCDR), the degree to which clinicians and practices engage with such dashboards has not been well described. We aimed to develop a conceptual framework for assessing user engagement with dashboard technology and to demonstrate its application to a rheumatology QCDR. Materials and Methods: We developed the BDC (Breadth-Depth-Context) framework, which included concepts of breadth (derived from dashboard sessions), depth (derived from dashboard actions), and context (derived from practice characteristics). We demonstrated its application via user log data from the American College of Rheumatology's Rheumatology Informatics System for Effectiveness (RISE) registry to define engagement profiles and characterize practice-level factors associated with different profiles. Results: We applied the BDC framework to 213 ambulatory practices from the RISE registry in 2020-2021, and classified practices into 4 engagement profiles: not engaged (8%), minimally engaged (39%), moderately engaged (34%), and most engaged (19%). Practices with more patients and with specific electronic health record vendors (eClinicalWorks and eMDs) had a higher likelihood of being in the most engaged group, even after adjusting for other factors. Discussion: We developed the BDC framework to characterize user engagement with a registry dashboard and demonstrated its use in a specialty QCDR. The application of the BDC framework revealed a wide range of breadth and depth of use and that specific contextual factors were associated with nature of engagement. Conclusion: Going forward, the BDC framework can be used to study engagement with similar dashboards.

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Since pedestrians are impacted by solar radiation differently, urban designers must evaluate solar radiation exposure of pedestrian paths adopting an inclusive approach. This paper proposes a maximum threshold of direct solar radiation exposure for pedestrians based on activity, user profile and environmental conditions, defined as the difference between the energy consumption before feeling exhausted and the energy cost of walking. Two users of diverse walking abilities, a young adult and an elderly person with mobility impairment, were characterised by metabolic activity, walking speed and maximum energy capacity. Based on the theoretical framework, the energy budget of young adults to cope with thermal stress was set as three times higher than for the elderly. This framework was used to quantify the contribution of direct solar radiation to energy balance and then classify walkability during clear-sky summer hours; the term 'walkable' referred to environmental conditions allowing users to walk without feeling exhausted. The methodology was tested on an open area and an urban canyon in Milan; applicability by urban designers was key in developing a simplified way to evaluate shading needs. This approach could be applied to evaluate solar radiation exposure of pedestrian paths adopting diverse user experiences as an evaluation criterion.

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INTRODUCTION: Electronic ecological momentary assessment (EMA) can provide precise information regarding day-to-day functioning of patients overcoming some of the limitations of usual clinical evaluation; however adherence to this methodology might be a major threat. Research and application of EMA concerning clinical settings remains scant. Our goal was to study the user profiles of EMA in a clinical sample of adolescents. MATERIAL AND METHODS: 209 adolescents following an outpatient mental health treatment accepted to use EMA. They were evaluated in different sociodemographic and clinical variables as well as the use that they made of EMA. RESULTS: 39.7% of patients were considered users and 60.3% non-active users. Certain self-harm behaviours were more common in the group of active users, while hyperkinetic disorders were more common in the group of non-active users. A regression analysis revealed that non-suicidal self-injury (OR=2.99) and hyperkinetic disorders (OR=0.51) were related to the use of EMA. CONCLUSION: This preliminary study adds novel and promising information about EMA use in clinical practice. Adolescents with self-harm behaviours EMA seem more prone to use this tool. Our study provides support for actively monitoring self-harm behaviours with EMA. Future studies might consider a comprehensive analysis of adherence and EMA data collection.

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El aumento de la producción científica convierte en un desafío la tarea de identificar patrones y rasgos particulares que caractericen a los investigadores. Lograr establecer niveles de compatibilidad y similaridad entre actores en un contexto de investigación científica a partir de sus perfiles requiere de un proceso rápido y apropiado. El objetivo de este artículo es evaluar los niveles de similaridad, distancia euclidiana y compatibilidad entre vectores de investigadores, a partir de algoritmos de agrupamiento, escalamiento multidimensional, principios del modelo espacio-vectorial y atributos de sus perfiles científicos, considerando las terminologías que se abordan en su producción científica. Se utilizaron métodos teóricos y empíricos, incluyendo técnicas y herramientas de minería de texto. La aplicación del procedimiento en el Centro de Estudios de la Energía y Tecnología Avanzada de Cuba (CEETAM) y la Universidad Técnica de Cotopaxi (UTC) en Ecuador, evidenció su efectividad. Como resultado se pudo identificar los profesionales con mayores niveles de coincidencia en áreas a fines y líneas de investigación, lo que propicia el establecimiento de Comunidades Colectivas de Conocimientos; se pudo demostrar que los métodos empleados pueden ser integrados a las TIC, resultando en la obtención de relaciones perceptuales entre los investigadores y expresando los grupos que se forman a partir de conglomerados de observaciones en cada subcategoría y dominios de conocimientos de los dos casos de estudio analizados.

The increase in scientific production makes it a challenge to identify particular patterns and traits that characterize researchers. Establishing levels of compatibility and similarity between actors in a scientific research context from their profiles requires a rapid and appropriate process. The objective of this article is to evaluate the levels of similarity, Euclidean distance and compatibility between vectors of researchers, based on clustering algorithms, multidimensional scaling, principles of the vector-space model and attributes of their scientific profiles, considering the terminologies addressed in their scientific production. Theoretical and empirical methods were used, including text mining techniques and tools. The application of the procedure in the Advanced Energy and Technology Study Center from Cuba and the Cotopaxi Technical University from Ecuador, evidenced its effectiveness. As a result, it was possible to identify professionals with higher levels of coincidence in areas and lines of research, which favors the establishment of Collective Communities of Knowledge; it was possible to demonstrate that the methods used can be integrated to ICT, resulting in obtaining perceptual relationships between researchers and expressing the groups formed from clusters of observations in each subcategory and knowledge domains of the two case studies analyzed.

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Low socioeconomic status (SES) is associated with a higher prevalence of unhealthy lifestyles compared to a high SES. Health interventions that promote a healthy lifestyle, like eHealth solutions, face limited adoption in low SES groups. To improve the adoption of eHealth interventions, their alignment with the target group's attitudes is crucial. This study investigated the attitudes of people with a low SES toward health, healthcare, and eHealth. We adopted a mixed-method community-based participatory research approach with 23 members of a community center in a low SES neighborhood in the city of Rotterdam, the Netherlands. We conducted a first set of interviews and analyzed these using a grounded theory approach resulting in a group of themes. These basic themes' representative value was validated and refined by an online questionnaire involving a different sample of 43 participants from multiple community centers in the same neighborhood. We executed three focus groups to validate and contextualize the results. We identified two general attitudes based on nine profiles toward health, healthcare, and eHealth. The first general attitude, optimistically engaged, embodied approximately half our sample and involved light-heartedness toward health, loyalty toward healthcare, and eagerness to adopt eHealth. The second general attitude, doubtfully disadvantaged, represented roughly a quarter of our sample and was related to feeling encumbered toward health, feeling disadvantaged within healthcare, and hesitance toward eHealth adoption. The resulting attitudes strengthen the knowledge of the motivation and behavior of people with low SES regarding their health. Our results indicate that negative health attitudes are not as evident as often claimed. Nevertheless, intervention developers should still be mindful of differentiating life situations, motivations, healthcare needs, and eHealth expectations. Based on our findings, we recommend eHealth should fit into the person's daily life, ensure personal communication, be perceived usable and useful, adapt its communication to literacy level and life situation, allow for meaningful self-monitoring and embody self-efficacy enhancing strategies.

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Background: To decrease the detrimental health effects of prolonged sitting, the implementation of sit-stand workstations is a commonly used intervention for office workers. Most studies on this topic evaluated the effects of newly introduced sit-stand workstations. The objective of this study was to determine how often and how long the standing option is used and how the use of sit-stand workstations is perceived in office workers with long-term access to these workstations. Methods: Using an online survey, 1098 office employees responded to questions about frequency of usage of the sit-stand workstation, sitting time, physical activity, and positive and negative perceptions of the use of the sit-stand workstations. Results: Based on the frequency of use, three user groups were identified: non-users (32.1%), monthly/weekly users (37.5%) and daily users (30.4%). Non-users reported to sit more, stand less and have longer bouts of sitting, compared to monthly/weekly users, and these differences were even larger compared to daily users. A higher proportion of daily users perceived the use of the sit-stand workstation as being more healthy and appealing and making them more productive and energetic compared to the non-users. A higher proportion of the non-users perceived it as being uncomfortable, distracting, and unpractical, compared to the other user groups. Conclusions: The differences between the three identified user groups with respect to sitting, standing and perceptions of sit-stand workstations, might be helpful in tailoring future interventions to reduce occupational sitting time, to increase the reach, effectiveness and sustainability.

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En este artículo de investigación, se analizó el comportamiento de lectores de un periódico digital, con el objetivo de encontrar los perfiles asociados al uso del sitio Web, con el propósito de definir estrategias de contenidos y nuevos productos del periódico. Se tomó una muestra de 689 usuarios, correspondiente a tres meses de actividad, a través de la herramienta Google Analytics; se determinaron las secciones del diario que se utilizaban en cada visita por los usuarios, para consolidar así la base de datos. En el proceso de análisis, se utilizaron las técnicas multivariadas, análisis de componentes principales y análisis de clúster, por medio, de la cual, se lograron gráficos y visualizaciones, que permiten una mejor interpretación de los resultados y ayudan al proceso de creación de perfiles de usuario. El resultado muestra la identificación de tres perfiles de usuario, para los cuales, se han definido estrategias de contenidos y de nuevos productos.

In this article, we analyzed the behavior of readers of a digital newspaper in order to find the profiles associated with the use of the website, in order to define content strategies and new newspaper products. A sample of 689 users was taken corresponding to three months of activity, through the tool Google Analytics, it was determined the sections of the newspaper that were used in each visit by the users to consolidate the database. In the process of analysis, the multivariate techniques are used main component analysis and cluster analysis, by means of which graphs and visualizations were obtained that allow a better interpretation of the results and help to the process of creation of user profiles. The result shows the identification of three user profiles, for which content strategies and new products have been defined.

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This article is the first thorough study of average population exposure to third generation network (3G)-induced electromagnetic fields (EMFs), from both uplink and downlink radio emissions in different countries, geographical areas, and for different wireless device usages. Indeed, previous publications in the framework of exposure to EMFs generally focused on individual exposure coming from either personal devices or base stations. Results, derived from device usage statistics collected in France and Serbia, show a strong heterogeneity of exposure, both in time, that is, the traffic distribution over 24 h was found highly variable, and space, that is, the exposure to 3G networks in France was found to be roughly two times higher than in Serbia. Such heterogeneity is further explained based on real data and network architecture. Among those results, authors show that, contrary to popular belief, exposure to 3G EMFs is dominated by uplink radio emissions, resulting from voice and data traffic, and average population EMF exposure differs from one geographical area to another, as well as from one country to another, due to the different cellular network architectures and variability of mobile usage. Bioelectromagnetics. 37:382-390, 2016. © 2016 Wiley Periodicals, Inc.

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The growing use of Social Networking Sites (SNS) around the world has made it necessary to understand individuals' behaviors within these sites according to different cultures. Based on a comparative study between two different European countries (The Netherlands versus Spain), a comparison of typologies of networked Internet users has been obtained through a latent segmentation approach. These typologies are based on the frequency with which users perform different activities, their socio-demographic variables, and experience in social networking and interaction patterns. The findings show new insights regarding international segmentation in order to analyse SNS user behaviors in both countries. These results are relevant for marketing strategists eager to use the communication potential of networked individuals and for marketers willing to explore the potential of online networking as a low cost and a highly efficient alternative to traditional networking approaches. For most businesses, expert users could be valuable opinion leaders and potential brand influencers.

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In this paper, we present a novel approach to perform similarity queries over medical images, maintaining the semantics of a given query posted by the user. Content-based image retrieval systems relying on relevance feedback techniques usually request the users to label relevant/irrelevant images. Thus, we present a highly effective strategy to survey user profiles, taking advantage of such labeling to implicitly gather the user perceptual similarity. The profiles maintain the settings desired for each user, allowing tuning of the similarity assessment, which encompasses the dynamic change of the distance function employed through an interactive process. Experiments on medical images show that the method is effective and can improve the decision making process during analysis.

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