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Your search keyword '"De Jong, R.J.B. (R. J. Baatenburg)"' showing total 2 results
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1. Cost-utility of an eHealth application ‘Oncokompas’ that supports cancer survivors in self-management: results of a randomised controlled trial

Author

van der Hout, A. (A.), Jansen, F. (Femke), van Uden-Kraan, C.F. (Cornelia F.), Coupé, V.M.H. (Veerle), Holtmaat, K. (K.), Nieuwenhuijzen, G.A.P. (Gerard), Hardillo, J.A.U. (José), de Jong, R.J.B. (R. J. Baatenburg), Tiren-Verbeet, N.L. (N. L.), Sommeijer, D.W. (D. W.), de Heer, K. (K.), Schaar, C.G. (C. G.), Sedee, R.J.E. (R. J.E.), Bosscha, K. (Koop), Brekel, M.W.M. (Michiel W.) van den, Petersen, J.F. (J. F.), Westerman, M. (Matthijs), Honings, J. (Jimmie), Takes, R.P. (Robert), Houtenbos, I. (I.), Broek, W. (Wim) van den, Bree, R. (Remco) de, Jansen, P. (P.), Eerenstein, S.E.J. (Simone), Leemans, C.R. (René), Zijlstra, J.M. (Josée), Cuijpers, P. (Pim), Poll-Franse, L.V. (Lonneke) van de, Verdonck-De Leeuw, I.M. (Irma), van der Hout, A. (A.), Jansen, F. (Femke), van Uden-Kraan, C.F. (Cornelia F.), Coupé, V.M.H. (Veerle), Holtmaat, K. (K.), Nieuwenhuijzen, G.A.P. (Gerard), Hardillo, J.A.U. (José), de Jong, R.J.B. (R. J. Baatenburg), Tiren-Verbeet, N.L. (N. L.), Sommeijer, D.W. (D. W.), de Heer, K. (K.), Schaar, C.G. (C. G.), Sedee, R.J.E. (R. J.E.), Bosscha, K. (Koop), Brekel, M.W.M. (Michiel W.) van den, Petersen, J.F. (J. F.), Westerman, M. (Matthijs), Honings, J. (Jimmie), Takes, R.P. (Robert), Houtenbos, I. (I.), Broek, W. (Wim) van den, Bree, R. (Remco) de, Jansen, P. (P.), Eerenstein, S.E.J. (Simone), Leemans, C.R. (René), Zijlstra, J.M. (Josée), Cuijpers, P. (Pim), Poll-Franse, L.V. (Lonneke) van de, and Verdonck-De Leeuw, I.M. (Irma)

Abstract

Purpose: The eHealth self-management application ‘Oncokompas’ was developed to support cancer survivors in monitoring health-related quality of life (HRQOL) and symptoms, and obtaining personalized feedback and options for supportive care. The aim of this study was to assess the cost-utility of Oncokompas compared with care as usual (CAU) among cancer survivors. Methods: Survivors were randomly allocated to the intervention or control group. Direct (non-)medical, indirect non-medical costs, and HRQOL were measured at 3- and 6-month follow-up, using iMTA Medical Consumption and Productivity Costs and the EuroQol-5D questionnaires. Mean cumulative costs and quality-adjusted life-years (QALYs) were compared between both groups. Results: In total, 625 survivors were randomized into intervention (n = 320) or control group (n = 305). Base case analysis showed that incremental costs from a societal perspective were − €163 (95% CI, − 665 to 326), and

Published
2020
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2. Advancing interdisciplinary research in head and neck cancer through a multicenter longitudinal prospective cohort study: The NETherlands QUality of life and BIomedical Cohort (NET-QUBIC) data warehouse and biobank

Author

Verdonck-De Leeuw, I.M. (Irma), Jansen, F. (Femke), Brakenhoff, R. (Ruud), Langendijk, J.A. (Johannes), Takes, R.P. (Robert), Terhaard, C.H.J. (Chris), De Jong, R.J.B. (R. J. Baatenburg), Smith, A.V. (Davey), Leemans, C.R. (René), Verdonck-De Leeuw, I.M. (Irma), Jansen, F. (Femke), Brakenhoff, R. (Ruud), Langendijk, J.A. (Johannes), Takes, R.P. (Robert), Terhaard, C.H.J. (Chris), De Jong, R.J.B. (R. J. Baatenburg), Smith, A.V. (Davey), and Leemans, C.R. (René)

Abstract

Background: Worldwide, over 500,000 people are diagnosed with head and neck cancer each year, a disease with major impact on life expectancy and quality of life. The purpose of the Netherlands Quality of life and Biomedical Cohort study (NET-QUBIC) is to advance interdisciplinary research that aims to optimize diagnosis, treatment, and supportive care for head and neck cancer patients and their informal caregivers. Methods: Using an extensive assessment protocol (electronic clinical record form, patient reported outcome measures and fieldwork (interviews and physical tests)), clinical data and data on quality of life, demographic and personal factors, psychosocial (depression, anxiety, fatigue, pain, sleep, mental adjustment to cancer, posttraumatic stress), physical (speech, swallowing, oral function, malnutrition, physical fitness, neurocognitive function, sexual function), lifestyle (physical activity, nutrition, smoking, alcohol, drugs), and social factors (social function, social support, work, health care use, and costs) are collected and stored in the data warehouse. A longitudinal biobank is built with tumor tissue, blood and blood components, saliva samples, and oral rinses. An infrastructure for fieldwork and laboratory protocols is estab

Published
2019
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