Development of an Algorithm for Determining of Genetic Risk at the Primary Healthcare Level – A New Tool for Primary Prevention: A Study Protocol
Authors
Polona Selič
University of Ljubljana, Faculty of Medicine, Department of Family Medicine, Ljubljana, Slovenia
Zalika Klemenc-Ketiš
University of Ljubljana, Faculty of Medicine, Department of Family Medicine, Ljubljana, Slovenia
Community Health Centre Ljubljana, Ljubljana, Slovenia
University of Maribor, Faculty of Medicine, Department of Family Medicine, Maribor, Slovenia
Erika Zelko
Community Health Centre Ljubljana, Ljubljana, Slovenia
University of Maribor, Faculty of Medicine, Department of Family Medicine, Maribor, Slovenia
Andrej Kravos
University of Maribor, Faculty of Medicine, Department of Family Medicine, Maribor, Slovenia
Janez Rifel
University of Ljubljana, Faculty of Medicine, Department of Family Medicine, Ljubljana, Slovenia
Irena Makivić
Community Health Centre Ljubljana, Ljubljana, Slovenia
Antonija Poplas Susič
Community Health Centre Ljubljana, Ljubljana, Slovenia
Špela Tevžič
Community Health Centre Ljubljana, Ljubljana, Slovenia
Metka Cerovič
Community Health Centre dr. Adolfa Drolca Maribor, Maribor, Slovenia
Borut Peterlin
University Medical Centre Ljubljana, Clinical Institute of Medical Genetics, Ljubljana, Slovenia
Nena Kopčavar Guček
University of Ljubljana, Faculty of Medicine, Department of Family Medicine, Ljubljana, Slovenia
Community Health Centre Ljubljana, Ljubljana, Slovenia
Language: English
Page range: 27 - 32
Submitted on: Apr 10, 2019
Accepted on: Oct 21, 2019
Published on: Dec 13, 2019
Published by: National Institute of Public Health, Slovenia
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 2019 Polona Selič, Zalika Klemenc-Ketiš, Erika Zelko, Andrej Kravos, Janez Rifel, Irena Makivić, Antonija Poplas Susič, Špela Tevžič, Metka Cerovič, Borut Peterlin, Nena Kopčavar Guček, published by National Institute of Public Health, Slovenia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.