2. |
- Benstead, K., et al.
(author)
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Multidisciplinary training of cancer specialists in Europe
- 2017
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In: European Journal of Cancer. - : Elsevier BV. - 0959-8049. ; 83, s. 1-8
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Journal article (peer-reviewed)abstract
- The best care for patients with cancer is most likely to be achieved when decisions about diagnosis, staging and treatment are made at multidisciplinary and multiprofessional meetings, preferably when all the professional expertise relevant to the patient's condition is gathered together. Questionnaires were sent to National Societies of Radiation Oncology and Medical Oncology concerning similarities and differences in training programs and multidisciplinary care in member states in Europe. Results indicated wide variation in training systems and practice. Data were lacking for Surgery because Surgical Oncology is not recognised as a speciality in the EU and most specialist training in cancer surgery is organ based. A period of time in cross-disciplinary training in each of the other two disciplines for all trainees in Medical Oncology, Radiation Oncology and Surgical Oncology (including all surgeons training in cancer surgery) is recommended. This is likely to improve the value of multidisciplinary meetings and may result in improved patient care. The Expert Group on Cancer Control of the European Commission has endorsed this recommendation. (C) 2017 Elsevier Ltd. All rights reserved.
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3. |
- Moshontz, Hannah, et al.
(author)
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The Psychological Science Accelerator: Advancing Psychology Through a Distributed Collaborative Network
- 2018
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In: Advances in Methods and Practices in Psychological Science. - : SAGE Publications. - 2515-2459 .- 2515-2467. ; 1:4, s. 501-515
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Journal article (peer-reviewed)abstract
- Concerns about the veracity of psychological research have been growing. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions or replicate prior research in large, diverse samples. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time limited), efficient (in that structures and principles are reused for different projects), decentralized, diverse (in both subjects and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside the network). The PSA and other approaches to crowdsourced psychological science will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability.
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