Searched for: author%3A%22R%C3%B6vekamp%2C+T.J.M.%22
(1 - 8 of 8)
document
Wang, W. (author), van Lint, C.L. (author), Brinkman, W.P. (author), Rövekamp, T.J.M. (author), van Dijk, S. (author), van der Boog, P. (author), Neerincx, M.A. (author)
Personalization of eHealth systems is a promising technique for improving patients’ adherence. This paper explores the possibility of personalisation based on the patients’ medical health situation and on their health literacy. The study is set within the context of a self-management support system (SMSS) for renal transplant patients. A SMSS is...
article 2019
document
Wang, W. (author), van Lint, C.L. (author), Brinkman, W.P. (author), Rövekamp, T.J.M. (author), van Dijk, S. (author), van der Boog, P.J.M. (author), Neerincx, M.A. (author)
Background: Self-management support systems (SMSS) have been proposed for renal transplant patients to increase their autonomy and reduce the number of hospital visits. For the design and implementation of such systems, it is important to understand factors influencing patients’ acceptance of a SMSS. This paper aims to identify these key factors...
article 2017
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van Lint, C.L. (author), Wang, W. (author), van Dijk, S. (author), Brinkman, W.P. (author), Rövekamp, T.J.M. (author), Neerincx, M.A. (author), Rabelink, T.J. (author), van der Boog, P.J.M. (author)
Background: The high frequency of outpatient visits after kidney transplantation is burdensome to both the recovering patient and health care capacity. Self-monitoring kidney function offers a promising strategy to reduce the number of these outpatient visits. Objective: The objective of this study was to investigate whether it is safe to rely...
article 2017
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van Lint, C.L. (author), van der Boog, P.J.M. (author), Romijn, F.P.H.T.M. (author), Schenk, P.W. (author), van Dijk, S. (author), Rövekamp, T.J.M. (author), Kessler, A. (author), Siekmann, L. (author), Rabelink, T.J. (author), Cobbaert, C.M. (author)
Background: The StatSensor® Xpress-i™, a point-of-care system for blood creatinine measurement, offers patients the possibility of self-monitoring creatinine. In this study, the analytical performance of the StatSensor® for both detecting current renal function and monitoring renal (dys)function in kidney transplant patients was examined....
article 2015
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van Lint, C.L. (author), van der Boog, P.J.M. (author), Wang, W. (author), Brinkman, W.P. (author), Rövekamp, T.J.M. (author), Neerincx, M.A. (author), Rabelink, T.J. (author), van Dijk, S. (author)
Background: After a kidney transplantation, patients have to visit the hospital often to monitor for early signs of graft rejection. Self-monitoring of creatinine in addition to blood pressure at home could alleviate the burden of frequent outpatient visits, but only if patients are willing to self-monitor and if they adhere to the self...
article 2015
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Wang, W. (author), Brinkman, W.-P. (author), Rövekamp, T.J.M. (author), van der Boog, P. (author), Alpay, L. (author), Neerincx, M.A. (author)
Motivation - A key function of a future self-management support system (SMSS) for renal transplant patients is to provide feedback about their health status. This study investigates patients' understanding, preference, and trust of such feedback. Research approach - Three types of feedback form, namely simplicity, empathy, and empowerment, were...
conference paper 2012
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Wang, W. (author), Rövekamp, T.J.M. (author), Brinkman, W.P. (author), Alpay, L. (author), van der Boog, P. (author), Neerincx, M.A. (author)
Motivation - Thanks to the mobile measurement and telecare technology, it becomes possible to build selfmanagement support systems for renal transplant patients. This project aims to provide (1) a trusted and accepted selfmanagement support systems for renal transplant patients, (2) guidelines for building a virtual coach for supporting feedback...
conference paper 2012
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Hollink, V. (author), van Someren, M. (author), ten Hagen, S. (author), Hilgersom, M.J.C. (author), Rovekamp, T.J.M. (author), TNO Kwaliteit van Leven (author)
Recommender systems suggest objects to users navigating a web site. They observe the pages that a user visits and predict which other pages may be of interest. On the basis of these predictions recommenders select a number of pages that are suggested to the user. By far the most popular recommendation strategy is to select the pages of which the...
conference paper 2007
Searched for: author%3A%22R%C3%B6vekamp%2C+T.J.M.%22
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