1,721,337 research outputs found
Time to know what we are talking about, and why it is important for evidence-based policy-making
Full text linkFirst published by BioMed Central
Busse, Reinhard : The contribution of health systems research to HSR : time to know what we are talking about, and why it is important for evidence-based policy-making : From Health Services Research: Evidence-based practice London, UK. 1-3 July 2014. - In: BMC Health Services Research. - ISSN 1472-6963 (online). - 14 (2014), suppl. 2, O25. - doi:10.1186/1472-6963-14-S2-O25
Methods, models and variables for the EuroDRG project
Full text linkEmpirical studies of variation in hospital costs fall into two camps: those based on analysis of the costs of individual patients and those – the vast majority – that analyse costs reported at the hospital level. In this review, we consider how patient-level and hospital-level data are related and outline approaches to analyzing them. The second part of the review considers general specification choices and methods of efficiency analysis. Moreover, we specify a model to be used in the empirical analyses of the EuroDRG project
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
Definition Zusammengefasster Krankheitsgruppen für ein Klassifikationssystem zur Messung des morbiditätsbezogenen Versorgungsbedarfs – PopGroup
Full text linkZusammenfassung Ziel In den letzten Jahren wurde verstärkt eine Morbiditätsorientierung in der Versorgungsstrukturplanung gefordert. Für die regional differenzierte Erhebung des Versorgungsbedarfs werden bevölkerungsbezogene Klassifikationssysteme benötigt, wie sie in verschiedenen Ländern bereits existieren. Das PopGroup Projekt hat zum Ziel, ein solches Klassifikationssystem (PopGrouper) für den deutschen Versorgungskontext zu entwickeln und verschiedene Anwendungen zu erproben. Der PopGrouper soll jede Person genau einer PopGroup zuordnen, die durch bestimmte klinische Eigenschaften und einen bestimmten Versorgungsbedarf charakterisiert ist. Das Ziel des ersten Schrittes der PopGrouper Entwicklung war es, als Basis für die Bildung von PopGroups, Diagnosen in medizinisch sinnvollen Gruppen zusammenzufassen – in sogenannten Zusammengefassten Krankheitsgruppen (ZKGs). Dieser Artikel befasst sich mit der Bildung und Validierung der ZKGs sowie mit der Definition eines Krankheitsschweregrads zu den entstandenen ZKGs. Methodik Die ZKGs wurden unter Einbeziehung medizinischer Expertise sowie Analysen der Routinedaten der BARMER-Krankenkasse gebildet. Dabei wurden bereits zuvor definierte Diagnosegruppen verwendet – die DxGs des morbiditätsorientierten Risikostrukturausgleichs. Zunächst wurden übergeordnete Makro-Krankheitsgruppen (MKGs) gebildet. Innerhalb der MKGs wurden die DxGs anhand definierter Kriterien zu ZKGs gruppiert. Die gebildeten ZKGs wurden durch Expert*innen wissenschaftlicher medizinischer Fachgesellschaften validiert. Abschließend wurde ein Krankheitsschweregrad anhand von drei Dimensionen (Mortalität, Kosten, Inanspruchnahme) sowie Schweregrad-Kategorien von „sehr schwer“ bis „sehr leicht“ definiert, um die ZKGs zu hierarchisieren. Ergebnisse Insgesamt wurden 32 MKGs und 433 ZKGs definiert und validiert. Jede ZKG erhielt einen Schweregrad-Score. Schlussfolgerung Die ZKGs und MKGs bilden einen wichtigen ersten Schritt der PopGrouper-Entwicklung. Auf dieser Grundlage konnten anschließend PopGroups gebildet werden, die diverse ZKGs und MKGs sowie Kombinationen berücksichtigen. Die Einteilung von Diagnosen in eine kleinere Anzahl medizinisch sinnvoller Gruppen bietet auch außerhalb des Projekts Möglichkeiten für die Versorgungsforschung, für die Analyse von Krankheiten sowie für die Identifikation von Versichertengruppen mit ähnlichen Eigenschaften
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