1,721,131 research outputs found
sj-docx-2-nnr-10.1177_15459683231166935 – Supplemental material for Predictors of Discharge Destination After Stroke
No full textSupplemental material, sj-docx-2-nnr-10.1177_15459683231166935 for Predictors of Discharge Destination After Stroke by Theresa Schrage, Götz Thomalla, Martin Härter, Lisa Lebherz, Hannes Appelbohm, David Leander Rimmele and Levente Kriston in Neurorehabilitation and Neural Repair</p
sj-docx-1-nnr-10.1177_15459683231166935 – Supplemental material for Predictors of Discharge Destination After Stroke
No full textSupplemental material, sj-docx-1-nnr-10.1177_15459683231166935 for Predictors of Discharge Destination After Stroke by Theresa Schrage, Götz Thomalla, Martin Härter, Lisa Lebherz, Hannes Appelbohm, David Leander Rimmele and Levente Kriston in Neurorehabilitation and Neural Repair</p
Mental health professionals’ attitudes towards the network theory of mental disorders
No full textOn this page, you can find the supplementary material and the data associated to the manuscript "Mental health professionals’ attitudes towards the network theory of mental disorders" by Lea Schumacher and Levente Kriston.
Abstract:
Background: The network theory describes mental disorders as a network of interacting symptoms. While the number of empirical investigations of the network approach is rising, little is known about mental health professionals´ attitudes towards this approach. Clinical expertise could offer a valuable additional perspective on this theory and its applications.
Methods: Clinical psychologists, psychotherapists, and specialized physicians rated their agreement with propositions of the network theory regarding the phenomenology, aetiology, and treatment of mental disorders in an online survey. Additionally, acceptability and appropriateness of possible applications of the network approach were evaluated. We calculated descriptive statistics and examined associated factors with linear regression analyses.
Results: The 257 participating mental health professionals strongly agreed with the network theory’s proposition regarding the phenomenology of mental disorders and regarding treatment effects on symptoms and symptom networks. Appraisal of the network theory regarding the aetiology of mental disorders, regarding important treatment targets proposed by the network theory and regarding acceptability and appropriateness of possible applications was mixed. A theoretical background in cognitive behavioural therapy, being a specialized physician, and previous knowledge of the network theory were associated with a stronger agreement in most domains.
Conclusion: The fundamental assumptions of the network approach seem to resonate with mental health professionals, while consequences for the diagnosis and treatment for mental disorders need to be further explored. The findings indicate the first signs of a possible a paradigm shift for conceptualizing mental disorders as symptom networks and, at the same time, reflect the infancy of possible applications
Mental health professionals’ attitudes towards the network theory of mental disorders
No full textOn this page, you can find the supplementary material and the data associated to the manuscript "Mental health professionals’ attitudes towards the network theory of mental disorders" by Lea Schumacher and Levente Kriston.
Abstract:
Background: The network theory describes mental disorders as a network of interacting symptoms. While the number of empirical investigations of the network approach is rising, little is known about mental health professionals´ attitudes towards this approach. Clinical expertise could offer a valuable additional perspective on this theory and its applications.
Methods: Clinical psychologists, psychotherapists, and specialized physicians rated their agreement with propositions of the network theory regarding the phenomenology, aetiology, and treatment of mental disorders in an online survey. Additionally, acceptability and appropriateness of possible applications of the network approach were evaluated. We calculated descriptive statistics and examined associated factors with linear regression analyses.
Results: The 257 participating mental health professionals strongly agreed with the network theory’s proposition regarding the phenomenology of mental disorders and regarding treatment effects on symptoms and symptom networks. Appraisal of the network theory regarding the aetiology of mental disorders, regarding important treatment targets proposed by the network theory and regarding acceptability and appropriateness of possible applications was mixed. A theoretical background in cognitive behavioural therapy, being a specialized physician, and previous knowledge of the network theory were associated with a stronger agreement in most domains.
Conclusion: The fundamental assumptions of the network approach seem to resonate with mental health professionals, while consequences for the diagnosis and treatment for mental disorders need to be further explored. The findings indicate the first signs of a possible a paradigm shift for conceptualizing mental disorders as symptom networks and, at the same time, reflect the infancy of possible applications
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
A Statistical Definition of Epidemic Waves
No full textThe timely identification of expected surges of cases during infectious disease epidemics is essential for allocating resources and preparing interventions. Failing to detect critical phases in time may lead to delayed implementation of interventions and have serious consequences. This study describes a simple way to evaluate whether an epidemic wave is likely to be present based solely on daily new case count data. The proposed measure compares two models that assume exponential or linear dynamics, respectively. The most important assumption of this approach is that epidemic waves are characterized rather by exponential than linear growth in the daily number of new cases. Technically, the coefficient of determination of two regression analyses is used to approximate a Bayes factor, which quantifies the support for the exponential over the linear model and can be used for epidemic wave detection. The trajectory of the coronavirus epidemic in three countries is analyzed and discussed for illustration. The proposed measure detects epidemic waves at an early stage, which are otherwise visible only by inspecting the development of case count data retrospectively. Major limitations include missing evidence on generalizability and performance compared to other methods. Nevertheless, the outlined approach may inform public health decision-making and serve as a starting point for scientific discussions on epidemic waves
Aktuelle Entwicklung der kumulativen Inzidenz bestätigter SARS-CoV-2-Infektionen und infektionsbedingter Todesfälle in Deutschland [Modeling the cumulative incidence of SARS-CoV-2 cases and deaths in Germany]
No full textZUSAMMENFASSUNG
Hintergrund: Die Beschreibung der aktuellen Ausbreitung der Coronavirus-Krankheit-2019 (COVID-19) in Deutschland kann dazu beitragen, die Entwicklung der Epidemie zu verstehen und ihre Folgen besser bewältigen zu können. Ziele der Arbeit: Die Ziele der vorliegende Studie waren, die Vorhersagevalidität eines existierenden Modells zur Entwicklung der kumulativen COVID-19-Fallzahlen in Deutschland zu überprüfen und mithilfe des Modells die Entwicklung der kumulativen Inzidenz von COVID-19-Infektionen und Todesfällen in den deutschen Bundesländern und im gesamten Bundesgebiet zu beschreiben und vorherzusagen. Material und Methoden: Es wurden Daten der Johns-Hopkins-Universität für die Überprüfung der Vorhersagevalidität und Daten des Robert Koch-Instituts für die Modellierung in Deutschland genutzt. Ein hierarchisch-logistisches Modell wurde verwendet, um die Entwicklung der beobachteten Daten zu modellieren. Ergebnisse: Das Modell zeigte eine hohe 1-Monats-Vorhersagevalidität und eignete sich zur Schätzung der bis Ende April 2020 beobachteten kumulativen Inzidenz von Infektionen und Todesfällen. Es zeigten sich große Unterschiede zwischen den Bundesländern bezüglich der geschätzten maximalen Inzidenz von Infektionen und Todesfällen am Ende der aktuellen Infektionswelle. Der Wendepunkt zwischen der Beschleunigungs- und Verlangsamungsphase der Ausbreitung wurde in den meisten Bundesländern einheitlich auf Anfang April 2020 geschätzt. Diskussion: Laut den Befunden verlangsamt sich gegenwärtig die Ausbreitung der COVID-19-Epidemie in Deutschland (Stand Anfang Mai 2020). Unter Beachtung seiner Limitationen kann der vorgestellte Ansatz zur Modellierung der kumulativen Inzidenz von COVID-19-Infektionen und Todesfällen verwendet werden.
ENGLISH SUMMARY
Background: Modeling the spreading of the Coronavirus Disease 2019 (COVID-19) in Germany may improve understanding of the epidemic and coping with its consequences. Objectives: The aims of the study were to investigate the prognostic validity of an existing model of the development of the cumulative number of infected cases in Germany and to use this model to describe and predict the development of the cumulative incidence of COVID-19 infections and deaths in German federals states and in the entire country. Materials and methods: Data form the Johns Hopkins University were used to examine prognostic validity and data from the Robert Koch Institute were used for modeling. A hierarchical logistic approach was utilized to model observed data. Results: The model showed strong prognostic validity and estimated the cumulative incidence of infections and deaths until the end of April 2020 accurately. Large differences between federal states were observed regarding the expected maximum incidence of infections and deaths at the end of the current epidemic wave. The inflection point between the accelerating and the decelerating phases of the epidemic was estimated to have fallen uniformly on the beginning of April 2020 in most federal states. Conclusions: As of the beginning of May 2020, the findings suggest that the COVID-19 epidemic is decelerating in Germany. As long as its limitations are taken into account, the presented approach can be used for modeling the development of the cumulative incidence of COVID-19 infections and deaths
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
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