1,303 research outputs found
Does media use result in more active communicators? Differences between native Dutch and Turkish-Dutch patients in information-seeking behavior and participation during consultations with general practitioners
This study investigates differences between native Dutch and Turkish-Dutch patients with respect to media usage before and patient participation during medical consultations with general practitioners. In addition, the authors assessed the relation between patient participation and communication outcomes. The patients were recruited in the waiting rooms of general practitioners, and 191 patients (117 native Dutch, 74 Turkish-Dutch) completed pre- and postconsultation questionnaires. Of this sample, 120 patients (62.8%; 82 native Dutch, 38 Turkish-Dutch) agreed to have their consultations recorded to measure patient participation. Compared with Turkish-Dutch patients of similar educational levels, results showed that native Dutch patients used different media to search for information, participated to a greater extent during their consultations and were more responsive to their general practitioner. With respect to the Turkish-Dutch patients, media usage was related to increased patient participation, which was correlated with having fewer unfulfilled information needs; however, these relations were not found in the native Dutch patient sample. In conclusion, interventions that enhance participation among ethnic minority patients will better fulfill informational needs when such interventions stimulate information-seeking behavior in that group before a medical consultation
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Order patterns networks (orpan) - A method to estimate time-evolving functional connectivity from multivariate time series
Complex networks provide an excellent framework for studying the function of the human brain activity. Yet estimating functional networks from measured signals is not trivial, especially if the data is non-stationary and noisy as it is often the case with physiological recordings. In this article we propose a method that uses the local rank structure of the data to define functional links in terms of identical rank structures. The method yields temporal sequences of networks which permits to trace the evolution of the functional connectivity during the time course of the observation. We demonstrate the potentials of this approach with model data as well as with experimental data from an electrophysiological study on language processing
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