Implication des utilisateurs dans le développement des innovations médicales : une analyse sociotechnique de la collaboration et de ses enjeux pour l’organisation des soins

Les changements technologiques ont des effets structurants sur l’organisation des soins dans notre système de santé. Les professionnels de la santé et les patients – les principaux utilisateurs des innovations médicales – sont des acteurs clés dans les trajectoires suivies par les nouvelles technologies en santé. Pour développer des technologies médicales plus efficaces, sécuritaires et conviviales, plusieurs proposent d’intensifier la collaboration entre les utilisateurs et les développeurs. Cette recherche s’intéresse à cette prémisse sur la participation des utilisateurs dans les processus d’innovation médicale. L'objectif général de cette recherche est de mieux comprendre la collaboration entre les utilisateurs et les développeurs impliqués dans la transformation des innovations médicales. Adoptant un cadre d’analyse sociotechnique, cette thèse par articles s’articule autour de trois objectifs : 1) décrire comment la littérature scientifique définit les objectifs, les méthodes et les enjeux de l’engagement des utilisateurs dans le développement des innovations médicales; 2) analyser les perspectives d’utilisateurs et de développeurs de technologies médicales quant à leur collaboration dans le processus d’innovation; et 3) analyser comment sont mobilisés, en pratique, des utilisateurs dans le développement d’une innovation médicale. Le premier objectif s’appuie sur une synthèse structurée des écrits scientifiques (n=101) portant sur le phénomène de la participation des utilisateurs dans les processus d’innovation médicale. Cette synthèse a dégagé les méthodes appliquées ou proposées pour faire participer les utilisateurs, les arguments normatifs véhiculés ainsi que les principaux enjeux soulevés. Le deuxième objectif repose sur l’analyse de trois groupes de discussion délibératifs et d'une plénière impliquant des utilisateurs et des développeurs (n=19) de technologies médicales. L’analyse a permis d’examiner leurs perspectives à l'égard de diverses approches de collaboration dans les processus d'innovation. Le troisième objectif implique l’étude d’une innovation en électrophysiologie lors de la phase de recherche clinique. Cette étude de cas unique s'appuie sur une analyse qualitative d'études cliniques (n=57) et des éditoriaux et synthèses de connaissances dans des revues médicales spécialisées (n=15) couvrant une période de dix ans (1999 à 2008) ainsi que des entrevues semi-dirigées avec des acteurs clés impliqués dans le processus d’innovation (n=3). Cette étude a permis de mieux comprendre comment des utilisateurs donne un sens, s’approprient et légitiment une innovation médicale en contexte de recherche clinique. La contribution générale de cette thèse consiste en une meilleure compréhension de l’apport des utilisateurs dans les processus d’innovation médicale et de sa capacité à aligner plus efficacement le développement technologique avec les objectifs du système de santé.

Periurbanização da leishmaniose visceral e emergência da coinfecção HIV/leishimania, no Rio Grande do Norte

Visceral leishmaniasis (VL) has undergone changes in terms of clinical and epidemiological presentation worldwide. Urbanization has been described in different regions of Brazil and the world, as well as in the state of Rio Grande do Norte. These changes have impacted in the clinical outcome of Leishmania infection. A new clinical entity called co-infection of HIV/Leishmania has been described as a consequence of overlapping areas of occurrence of VL and HIV / AIDS in different countries including Brazil. The aim of this study was to define the process of periurbanization of the LV and describe a case series of co-infection HIV / Leishmania in Rio Grande do Norte. A new demographic pattern of VL was detected, with an increase in the number VL adult male subjects. Analysis of spatial distribution of VL in the state of Rio Grande do Norte showed that in the past 20 years VL tends to occur in larger cities and therefore the highest risk disease is greater in the eastern and western regions. The first region included Natal, the state capital, where the process of suburbanization began in 1990, and more recently the city of Mossoró, the second largest state, where periurbanization began in the last five years. In 1990, the emergence of co-infection HIV/Leishmania in the state was observed. Case-control study revealed that the new clinical entity affects adult males, who acquired HIV through sexual intercourse, 40% of those with a preivous history of leishmania infection Relapse and death from LV is increased in HIV positive compared with HIV-negative patients matched by sex and age. This pattern is similar to the observed in Europe, except of the route of transmission, where in Europe occured concomitantly, by parenteral route in drug users. Analysis of spatial distribution identified overlapping new areas of occurrence of HIV / AIDS and LV potentially signaling to increased risk of this new clinical entity as described above. Therefore, epidemiological surveillance for co-infection HIV / Leishmania should be adopted in all areas of risk of VL. At the same time, it is necessary to evaluate drug resistance currently used in the treatment of VL, as well as parenteral transmission of L infantum/ chagasi in areas where drug dependence is a risk factor for HIV acquisition

Análise, aplicação e otimização de metodologias para a elaboração de websites: o design ergonômico na busca da usabilidade e melhor interação humano-computador

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Contextual text mining

With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the author(s) of a biomedical publication, or implicit, such as the positive or negative sentiment that an author had when she wrote a product review; there may also be complex context such as the social network of the authors. Many applications require analysis of topic patterns over different contexts. For instance, analysis of search logs in the context of the user can reveal how we can improve the quality of a search engine by optimizing the search results according to particular users; analysis of customer reviews in the context of positive and negative sentiments can help the user summarize public opinions about a product; analysis of blogs or scientific publications in the context of a social network can facilitate discovery of more meaningful topical communities. Since context information significantly affects the choices of topics and language made by authors, in general, it is very important to incorporate it into analyzing and mining text data. In general, modeling the context in text, discovering contextual patterns of language units and topics from text, a general task which we refer to as Contextual Text Mining, has widespread applications in text mining. In this thesis, we provide a novel and systematic study of contextual text mining, which is a new paradigm of text mining treating context information as the ``first-class citizen.'' We formally define the problem of contextual text mining and its basic tasks, and propose a general framework for contextual text mining based on generative modeling of text. This conceptual framework provides general guidance on text mining problems with context information and can be instantiated into many real tasks, including the general problem of contextual topic analysis. We formally present a functional framework for contextual topic analysis, with a general contextual topic model and its various versions, which can effectively solve the text mining problems in a lot of real world applications. We further introduce general components of contextual topic analysis, by adding priors to contextual topic models to incorporate prior knowledge, regularizing contextual topic models with dependency structure of context, and postprocessing contextual patterns to extract refined patterns. The refinements on the general contextual topic model naturally lead to a variety of probabilistic models which incorporate different types of context and various assumptions and constraints. These special versions of the contextual topic model are proved effective in a variety of real applications involving topics and explicit contexts, implicit contexts, and complex contexts. We then introduce a postprocessing procedure for contextual patterns, by generating meaningful labels for multinomial context models. This method provides a general way to interpret text mining results for real users. By applying contextual text mining in the ``context'' of other text information management tasks, including ad hoc text retrieval and web search, we further prove the effectiveness of contextual text mining techniques in a quantitative way with large scale datasets. The framework of contextual text mining not only unifies many explorations of text analysis with context information, but also opens up many new possibilities for future research directions in text mining.

European information users: topics from a comparative analysis within the European Union

Purpose – The aim of this article is to present some results from research undertaken into the information behaviour of European Documentation Centre (EDC) users. It will reflect on the practices of a group of 234 users of 55 EDCs covering 21 Member States of the European Union (EU), used to access European information. Design/methodology/approach – In order to collect the data presented here, five questionnaires were sent to users in all the EDCs in Finland, Ireland, Hungary and Portugal. In the remaining EU countries, five questionnaires were sent to two EDCs chosen at random. The questionnaires were sent by post, following telephone contact with the EDC managers. Findings – Factors determining access to information on the European Union and the frequency of this access are identified. The information providers most commonly used to access European information and the information sources considered the most reliable by respondents will also be analysed. Another area of analysis concerns the factors cited by respondents as facilitating access to information on Europe or, conversely, making it more difficult to access. Parallel to this, the aspects of accessing information on EU that are valued most by users will also be assessed. Research limitations/implications – Questionnaires had to be used, as the intention was to cover a very extensive geographical area. However, in opting for closed questions, it is acknowledged that standard responses have been obtained with no scope for capturing the individual circumstances of each respondent, thus making a qualitative approach difficult. Practical implications – The results provide an overall picture of certain aspects of the information behaviour of EDC users. They may serve as a starting point for planning training sessions designed to develop the skills required to search, access, evaluate and apply European information within an academic context. From a broader perspective, they also constitute factors which the European Commission should take into consideration when formulating its information and communication policy. Originality/value – This is the first piece of academic research into the EDCs and their users, which aimed to cover all Members State of the EU.

Quality of Qualitative Research in the Health Sciences : Analysis of the Common Criteria Present in 58 Assessment Guidelines by Expert Users

The number of qualitative research methods has grown substantially over the last twenty years, both in social sciences and, more recently, in the health sciences. This growth came with questions on the quality criteria needed to evaluate this work, and numerous guidelines were published. The latters include many discrepancies though, both in their vocabulary and construction. Many expert evaluators decry the absence of consensual and reliable evaluation tools. The authors present the results of an evaluation of 58 existing guidelines in 4 major health science fields (medicine and epidemiology; nursing and health education; social sciences and public health; psychology / psychiatry, research methods and organization) by expert users (article reviewers, experts allocating funds, editors, etc.). The results propose a toolbox containing 12 consensual criteria with the definitions given by expert users. They also indicate in which disciplinary field each type of criteria is known to be more or less essential. Nevertheless, the authors highlight the limitations of the criteria comparability, as soon as one focuses on their specific definitions. They conclude that each criterion in the toolbox must be explained to come to broader consensus and identify definitions that are consensual to all the fields examined and easily operational.

What leads people to keep on e-learning? An empirical analysis of users' experiences and their effects on continuance intention

User retention is a major goal for higher education institutions running their teaching and learning programmes online. This is the first investigation into how the senses of presence and flow, together with perceptions about two central elements of the virtual education environment (didactic resource quality and instructor attitude), facilitate the user¿s intention to continue e-learning. We use data collected from a large sample survey of current users in a pure e-learning environment along with objective data about their performance. The results provide support to the theoretical model. The paper further offers practical suggestions for institutions and instructors who aim to provide effective e-learning experiences.

Path Analysis of Online Users Using Clickstream Da-ta: Case Online Magazine Website

This paper explores behavioral patterns of web users on an online magazine web-site. The goal of the study is to first find and visualize user paths within the data generated during collection, and to identify some generic behavioral typologies of user behavior. To form a theoretical foundation for processing data and identifying behavioral ar-chetypes, the study relies on established consumer behavior literature to propose typologies of behavior. For data processing, the study utilizes methodologies of ap-plied cluster analysis and sequential path analysis. Utilizing a dataset of click stream data generated from the real-life clicks of 250 ran-domly selected website visitors over a period of six weeks. Based on the data collect-ed, an exploratory method is followed in order to find and visualize generally occur-ring paths of users on the website. Six distinct behavioral typologies were recog-nized, with the dominant user consuming mainly blog content, as opposed to editori-al content. Most importantly, it was observed that approximately 80% of clicks were of the blog content category, meaning that the majority of web traffic occurring in the site takes place in content other than the desired editorial content pages. The out-come of the study is a set of managerial recommendations for each identified behavioral archetype.

Analysis of Automotive Cybersecurity - Attack surfaces and users’ privacy concerns

Modern automobiles are no longer just mechanical tools. The electronics and computing services they are shipping with are making them not less than a computer. They are massive kinetic devices with sophisticated computing power. Most of the modern vehicles are made with the added connectivity in mind which may be vulnerable to outside attack. Researchers have shown that it is possible to infiltrate into a vehicle’s internal system remotely and control the physical entities such as steering and brakes. It is quite possible to experience such attacks on a moving vehicle and unable to use the controls. These massive connected computers can be life threatening as they are related to everyday lifestyle. First part of this research studied the attack surfaces in the automotive cybersecurity domain. It also illustrated the attack methods and capabilities of the damages. Online survey has been deployed as data collection tool to learn about the consumers’ usage of such vulnerable automotive services. The second part of the research portrayed the consumers’ privacy in automotive world. It has been found that almost hundred percent of modern vehicles has the capabilities to send vehicle diagnostic data as well as user generated data to their manufacturers, and almost thirty five percent automotive companies are collecting them already. Internet privacy has been studies before in many related domain but no privacy scale were matched for automotive consumers. It created the research gap and motivation for this thesis. A study has been performed to use well established consumers privacy scale – IUIPC to match with the automotive consumers’ privacy situation. Hypotheses were developed based on the IUIPC model for internet consumers’ privacy and they were studied by the finding from the data collection methods. Based on the key findings of the research, all the hypotheses were accepted and hence it is found that automotive consumers’ privacy did follow the IUIPC model under certain conditions. It is also found that a majority of automotive consumers use the services and devices that are vulnerable and prone to cyber-attacks. It is also established that there is a market for automotive cybersecurity services and consumers are willing to pay certain fees to avail that.

Mouse movements of motion-impaired users: a submovement analysis

Understanding human movement is key to improving input devices and interaction techniques. This paper presents a study of mouse movements of motion-impaired users, with an aim to gaining a better understanding of impaired movement. The cursor trajectories of six motion-impaired users and three able-bodied users are studied according to their submovement structure. Several aspects of the movement are studied, including the frequency and duration of pauses between submovements, verification times, the number of submovements, the peak speed of submovements and the accuracy of submovements in two-dimensions. Results include findings that some motion-impaired users pause more often and for longer than able-bodied users, require up to five times more submovements to complete the same task, and exhibit a correlation between error and peak submovement speed that does not exist for able-bodied users.

Exploring different social media users from the millennials’ generation: a cross-cultural behavioral analysis of brazilian users of Facebook and chinese users of RenRen

With the increasing importance of digital communication and its distinct characteristics, marketing tools and strategies adopted by companies have changed dramatically. Among the many digital marketing tools and new media channels available for marketers, the phenomenon known as social media is one of the most complex and enigmatic. It has a range that still is quite unexplored and deeply transforms the present view on the promotion mix (Mangold & Faulds, 2009). Conversations among users on social media directly affect their perceptions on products, services and brands. But more than that, a wide range of other subjects can also become topics of conversations on social media. Hit songs, sporting events, celebrity news and even natural disasters and politics are topics that often become viral on the web. Thus, companies must grasp that, and in order to become more interesting and relevant, they must take part in these conversations inserting their brands in these online dynamic dialogues. This paper focuses on how these social interactions are manifested in the web in to two distinct cultures, Brazil and China. By understanding the similarities and differences of these cultures, this study helps firms to better adjust its marketing efforts across regions, targeting and positioning themselves, not only geographically and culturally, but also across different web platforms (Facebook and RenRen). By examining how companies should focus their efforts according to each segment in social media, firms can also maximize its results in communication and mitigate risks. The findings suggest that differences in cultural dimensions in these two countries directly affect their virtual social networking behavior in many dimensions (Identity, Presence, Relationships, Reputation, Groups, Conversations and Sharing). Accordingly, marketing efforts must be tailored to each comportment and expectations.

Análisis encuesta sobre usuarios del macrothesaurus = Analysis of the survey on users of the macrothesaurus

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