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    Exploring the Complex Constructs of Patient-Centeredness Within Goal Setting: Application of a Modified Framework Approach to Analyze Qualitative Data

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    The aim of this case study is to describe how we adapted the framework approach of qualitative data analysis to explore the patient-centeredness concept holistically, considering its dimensions and constructs, within the data we collected about goal setting. We used multiple qualitative methods to collect data from multiple sources (patient and staff interviews, goal-setting documents, and field notes) from seven cases. The first step in our data analysis was to carry out a conceptual analysis to define the concept of patient-centeredness and its various dimensions and components from the literature. We set out the identified dimensions and components from the conceptual analysis as an a priori framework in a matrix format. We then used content analysis to analyze the case study data by developing codes and categories, and then condensing each case as case summaries.Selected data from each case summary were then mapped against each dimension of patient-centeredness in the matrix. We then screened the matrix to estimate the level of congruence between the different data sources. Once the presence of dimensions of patient-centeredness (intra-case analysis) and level of congruence were determined within each case, we compared this across the seven cases (cross-case analysis). Adapting the framework method to develop our own methods of analysis was helpful to investigate a complex phenomenon and a multidimensional concept in a holistic manner. It further enabled an auditable method of analysis. However, this method needs to be further tested in studies interrogating multidimensional social constructs within other complex social and health care processes.<br/

    The influence of patient-centredness during goal-setting in stroke rehabilitation

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    Background: Guidelines suggest that rehabilitation for people with stroke should adopt patient-centred goal-setting (PCGS). Methods: A literature review and two qualitative studies were done in an acute stroke-unit. Study one aimed to explore influence of PCGS within stroke rehabilitation. Patients with stroke, with ability to participate and staff caring for them were included. Data collection involved interviews, observations, document analysis and focus-groups. Analysis involved sequential and intra-case analysis methods. Study two aimed to build a resource to improve PCGS and evaluate its feasibility and appropriateness. Based on Study one and review, a resource (T-PEGS) was developed and applied in this setting. Patients with same criteria as Study one and staff who agreed to act as keyworkers were recruited. Data collection and analysis methods were similar to Study one. Findings: Study one, with thirteen patients and twelve professionals, revealed limited application of PCGS due to participants’ health beliefs, limitations in knowledge and resources. Study two involved five patients and five staff who applied T-PEGS; recording of psychosocial goals, information sharing and rapport between patients and professionals had improved. Conclusion: T-PEGS seemed to improve PCGS locally. Small study-size and single site limit generalisability. Future work should explore mechanisms and effectiveness of T-PEGS

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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