1,720,979 research outputs found

    National Health Insurance Reform in Indonesia: Health Care Usage and Expenditure Patterns When Expanding Population Coverage

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    ABSTRACT In 2014, Indonesia took a large step toward Universal Health Coverage and protection from the economic risk of illness—previous health insurance schemes were joined aiming to cover the entire population. This reform made it the largest single‐payer public health insurance scheme worldwide, which covered approximately 77% of Indonesian households in 2020. I study how this reform changed individual health care usage and health expenditure, focusing on changes beyond the previous fragmented public insurance schemes. I apply two versions of difference‐in‐difference estimation to 10 rounds of the Indonesian socio‐economic survey (SUSENAS, 2011–2020). Like in previous studies with shorter datasets, I find significant increases in inpatient care usage associated with coverage expansion, particularly in public hospitals. In addition, I show that these increases tend to be stronger among households that were already insured before the reform. I do not detect strong changes in outpatient care usage or health expenditure. These findings suggest a reduction in the economic risk of illness associated with the health insurance reform but highlight in the equity dimension the need to make these benefits accessible for the large, newly eligible population.Deutsche Forschungsgemeinschaft https://doi.org/10.13039/50110000165

    Replication Data for: The Effect of Personalized Health Information on Preventive Behavior amongst COVID-19 Risk Groups: a Randomized Experiment in Pakistan

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    Replication Data for: The Effect of Personalized Health Information on Preventive Behavior amongst COVID-19 Risk Groups: a Randomized Experiment in Pakista

    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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