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    Diabetes and medical devices: which device for which patient

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    IntroductionDiabetes is a chronic disease that occurs when the pancreas does not produce enough insulin. Insulin therapy is a pharmaceutical treatment used to lower blood glucose in all patients with diabetes type 1 (T1D) and type 2 (T2D). Insulin therapy can be managed by different medical devices technologies such as insulin pumps and insulin pens.AimTo draw the profile of patients in insulin therapy with insulin pumps and insulin pens by identifying the variables that influence the choice of two different medical devices.Tools and MethodsWe developed a questionnaire to rate the lifestyles of these patients. Explorative Factor Analysis and Confirmatory Factor Analysis was performed to define and to confirm the factors that describe the profiles of these patients. Regression Models were performed to estimate the effects of observed variables on the choice of medical device and its cost.ResultGeneral Characteristics, Employment Information and Eating Habit are resulted the factors that define the characteristics of people with T1D and T2D, independently by medical devices used.ConclusionsThe results provide supporting evidence that are useful to the appropriate choice of medical device for insulin treatment.Therefore, next development is to make the results more generalizable in order that they can be used by policy makers in healthcare for a better management of resources and the best appropriateness of the choice of two different medical devices

    Diabetes and medical devices: which device for which patient?

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    Aim(s) or purpose: We propose to investigate the profile of patients currently on insulin therapy with an insulin pump (CSII) and those on multiple daily injections (MDI), in order to identify the variables that influence the use and the choice of two different types of devices. Design and method: A cross-sectional study will be conducted to estimate the prevalence of diabetes with MDI therapy and insulin pump (CSII). Also, a matched case-control (1:1) design will be performed considering as cases patients who have been undergoing insulin pump therapy for at least six months and as controls the patients with MDI therapy. The patients enrolled in this study are 18 years (adults) and < 18 years (paediatric). These epidemiological studies are preceded by a pilot study conducted in the Health Centers of Sardinia (Italy) randomly selected to validate the questionnaire used for the interview. Data collection involves the detection of patient clinical data (medical record source) and life-style data (structured questionnaire source) by an interview form, by the same interviewer. The interaction between interviewer and interviewee is face-to-face and the patient enrolled in the study did not see the questionnaire. In this way, the emotional independence of the answers to the questionnaire and the consequent absence of conditioning the reading of the same are ensured. Multivariate statistical analysis and logistic regression models are used for the statistical analysis of data collected. Results: To define the profiles of patients with insulin-dependent diabetes and the effects of demographic and clinical variables, lifestyle and behaviour on the choice of the most appropriate medical device.Conclusions: The results of the research are innovative to diabetes care in general practice because they will help medical professionals to personalize care and help each diabetic patient choose the most suitable medical device (MDI or CSII)

    Si può dimensionare il Servizio di Sterilizzazione?

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    Ai fini dell’accreditamento istituzionale numerose Aziende Sanitarie si trovano ad affrontare la riorganizzazione del proprio Servizio di Sterilizzazione. Uno studio di Hospital-based Technology Assessment può fornire evidenze utili alla scelta del modello più appropriato in termini di efficacia ed efficienza

    Multi-criteria decision analysis to redesign an Italian Clinical Engineering Service under specific needs and regulation requirements

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    The aim of this study is to fulfill the need of reengineering the Clinical Engineering Service in an Italian ASL (Local Health Authority) located in Sardinia, in accordance with the Italian regulations for healthcare. Even if methods for processes redesigning in healthcare organizations are available in the literature, there are no recent evidences of their application in Clinical Engineering Services. Among the multi-criteria techniques, in this work PAPRIKA was used, since it is an easy-to-use and intuitive method for multi- criteria decision making, based on decision-makers’ preferences. We identified the decision makers’ criteria to be fulfilled and four different preference levels for each criterion, as inputs of the method. Moreover four different scenarios were identified and, for each scenario and criterion, the decision makers selected the most suitable level. In order to reduce the number of pairwise comparisons among the preference levels associated to the identified criteria, the online software 1000minds, implementing the PAPRIKA method, was used. After 460 steps, the software allowed to rank the four possible scenarios. The application of the method allowed choosing the best solution for the ASL and it represents a good way for decision making, even though the number of questions is still high

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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
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