In the attempt to find a specificity for the Professional Master Program in Public Health (PM), we asked, what is, from the point of view of its means and purposes, kept or broke from the training models of the Academic (traditional) Masters Program (AM). In the public health field, this discussion possess an extra "flavor", as both program aim, in Brazil, to prepare health professionals to the Brazilian Unified Health System (SUS). Therefore, this research sought to investigate the heuristic and innovative vocation of the PM vis-à-vis the AM as an education public policy. From a comparative approach, we analyzed the main characteristics and differences among AM and PM, face the flexibilization process of graduate programs in Brazil, and discussed if these features would characterize the PM into an educational public policy. Data was analyzed by the Content Analysis method. We conclude that educational institutions tend to reproduce the AM training model in the PM and the expectation of making the health service matter and reason for training is not sufficient to distinguish both modes.
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http://dx.doi.org/10.1590/1413-81232018243.30922016 | DOI Listing |
J Eval Clin Pract
February 2025
Institute for the History & Philosophy of Science & Technology, University of Toronto, Toronto, Ontario, Canada.
Sci Rep
December 2024
School of Management, Hefei University of Technology, Hefei, People's Republic of China.
Medical devices (MDs) play a critical role in healthcare delivery while also bringing potential medical risks and unintended harms to patients. Although government regulation is well recognized as a critical and essential function for ensuring the safety of MDs in many countries, the supplementary role that hospitals play is often neglected. This paper constructs a tripartite evolutionary game model involving the government, hospitals, and MDs enterprises to explore their strategic behaviors of MDs regulation in healthcare delivery.
View Article and Find Full Text PDFJ Public Health Policy
December 2024
Department of Health Management and Policy, University of Michigan, Ann Arbor, MI, 48109-2029, USA.
Politicians often claim to be "following science" but their claims are, reasonably, disputed. To claim to be following the science can mean that scientific evidence affects or legitimates decisions. The evidence that politicians are following science often comes from formal systems of advice that translate science into advice.
View Article and Find Full Text PDFAppl Health Econ Health Policy
December 2024
Health Systems and Health Economics, School of Public Health, Curtin University, Bentley, Perth, Australia.
Background: Women's preferences for time allocation reveal how they would like to prioritise market work, family life, and other competing activities. Whilst preferences may not always directly translate to behaviour, they are an important determinant of intention to act.
Objective: We present the first study to apply a discrete choice experiment (DCE) to investigate time allocation preferences among women diagnosed with breast cancer and women without a cancer diagnosis.
Sci Rep
December 2024
Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway.
A number of AI safety concerns are being increasingly discussed by experts, including misinformation, invasion of privacy, job displacement, and criminal misuse. Two exploratory studies conducted in Germany and Spain (combined n = 2864) provide evidence that the general public largely supports strict oversight over safety of commercial artificial intelligence research. Among the factors that are associated with preferences for strict oversight are age, anticipated job displacement, innovativeness, and risk, time and altruistic preferences.
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