Title |
Interdisciplinary decision making in prostate cancer therapy – 5-years’ time trends at the Interdisciplinary Prostate Cancer Center (IPC) of the Charité Berlin
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Published in |
BMC Medical Informatics and Decision Making, August 2013
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DOI | 10.1186/1472-6947-13-83 |
Pubmed ID | |
Authors |
Daniel Baumunk, Roman Reunkoff, Julien Kushner, Alexandra Baumunk, Carsten Kempkensteffen, Ursula Steiner, Steffen Weikert, Lutz Moser, Mark Schrader, Stefan Höcht, Thomas Wiegel, Kurt Miller, Martin Schostak |
Abstract |
Patients with prostate cancer face the difficult decision between a wide range of therapeutic options. These men require elaborate information about their individual risk profile and the therapeutic strategies´ risks and benefits to choose the best possible option. In order to detect time trends and quality improvements between an early patient population (2003/2004) and a later reference group (2007/2008) data was analysed with regards to epidemiologic parameters, differences in diagnostics and the type and ranking of the recommended therapies taking into account changes to Gleason Grading System and implementation of new therapeutic strategies, particularly Active surveillance, in 2005. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 13 | 22% |
Researcher | 11 | 18% |
Student > Ph. D. Student | 7 | 12% |
Student > Master | 6 | 10% |
Student > Bachelor | 4 | 7% |
Other | 15 | 25% |
Unknown | 4 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 20 | 33% |
Unspecified | 13 | 22% |
Nursing and Health Professions | 3 | 5% |
Agricultural and Biological Sciences | 3 | 5% |
Computer Science | 3 | 5% |
Other | 6 | 10% |
Unknown | 12 | 20% |