1,720,955 research outputs found

    Older people’s experiences and factors associated with hospital readmission: a mixed methods study

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    Hospital readmission is a multifactorial issue that negatively impacts older people’s lives and the healthcare system. Current literature pertaining to hospital readmission focuses on clinical outcomes based on cross-sectional data whilst research exploring patients’ experiences and priorities is limited. The present mixed methods study explored the factors that matter most to older people who may have had an experience of readmission and examined whether these factors were integrated into routinely collected hospital data.This study was conducted with three interconnected Phases. Phase 1 adopted a qualitative approach with the involvement of individuals from a Patient Public Involvement group in order to review and finalise the interview schedule that was used in Phase 2. Semi-structured qualitative interviews were conducted in Phase 2, to identify factors linked to hospital readmission that were analysed using principles of interpretative phenomenological analysis and informed the subsequent Phase. Phase 3 included a cross-sectional retrospective analysis of primary routinely collected clinical data to examine if the main factors identified in Phase 2 were reflected in the UHS database and if so, identify their relationship with hospital readmission. Phase 1 - 10 people aged 65 years and over were recruited. Phase 2 - 10 people aged 65 years and over, who have had an experience of hospital readmission within a period of 30 days were recruited from a large single tertiary referral centre. Phase 3 used a dataset of 2708 patients, of which 159 had been readmitted. The qualitative interview schedule was developed and finalised with input from the PPI group in Phase 1. Four superordinate themes were identified in phase 2: ‘All about me without me’, ‘Fragmented and ad hoc post-discharge support’, ‘My readmission experience and what led me back’ and ‘Segregated health and social services that are detached from people’s needs’. The factors that mattered the most to participants in Phase 2 were mainly concerned with discharge planning and patient understanding, engagement with, and access to post-discharge resources, and formal and informal support. In phase 3, emergency admission, shorter length of stay, number of comorbidities and medication, postcode prefix, having a planned follow up, and living alone were identified as factors that increased the likelihood of hospital readmission. This study adds important findings on how discharge planning improves when readmitted and patients highlighted clinical and non-clinical factors such as Shared Decision Making, Activities of Daily Living, lack of physiotherapy as important to them and identified these as some of the reasons for their readmission. Non-clinical factors related to patients' everyday contexts are likely to be at least as important as clinical indicators for readmission, however, such data is not routinely collected. <br/

    Hospital readmission - Interview transcripts and hospital data

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    This dataset supports the thesis entitled: Older people&rsquo;s experiences and factors associated with hospital readmission: a mixed methods study. This dataset comprises (i) transcripts of semi-structured, face-to-face interviews guided by a predefined interview schedule, and (ii) data from the hospital&rsquo;s electronic database on admissions and readmissions between October and December 2019 (none of which were interview participants). </span

    Exploring older people’s experiences and factors associated with 30-day hospital readmission: a qualitative study using interpretive phenomenological analysis

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    INTRODUCTION: Hospital readmission has a negative impact on older people and the healthcare system. Current hospital readmission research predominantly reports on clinical outcomes based on cross-sectional data. Research exploring patients' experiences and priorities is limited. This study aimed to explore older people's experiences of hospital readmission in order to develop an understanding of what matters most to them.METHODS: Semi-structured qualitative interviews were conducted to generate data that were analysed using principles of interpretative phenomenological analysis.RESULTS: Ten participants over 65 years old, who had experienced unplanned hospital readmission within a period of 30 days, were recruited from a large single tertiary referral centre. Four themes emerged: 'All about me without me', 'Fragmented and ad hoc post-discharge support', 'My readmission experience and what led me back' and 'Segregated health and social services that are detached from people's needs'.CONCLUSION: The study findings suggest that patients should be more involved in decisions about their care, and health professionals should endeavour to better understand the contexts, resources and access to formal and informal support of patients. Effective communication and stronger continuum of care could be a key to patients' recovery and avoidance of hospital readmission. This research highlights the importance of shared decision-making and patient-centred care to improve quality of care, maintain independence and preserve older adult's right to feel valued.</p

    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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