Betina Ristorp Andersen
Clinical Associate Professor
1 - 4 out of 4Page size: 10
- 2020
- Published
From prescription to guidance: a European framework for generic competencies
van der Aa, J. E., Aabakke, A. J. M., Andersen, Betina Ristorp, Settnes, Annette, Hornnes, P., Teunissen, P. W., Goverde, A. J. & Scheele, F., Mar 2020, In: Advances in Health Sciences Education. 25, 1, p. 173-187 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Induction of labor with high- or low-dosage oral misoprostol—A Danish descriptive retrospective cohort study 2015-16
Bendix, J. M., Friis Petersen, J., Andersen, Betina Ristorp, Bødker, B. & Løkkegaard, Ellen Christine Leth, 2020, In: Acta Obstetricia et Gynecologica Scandinavica. 99, 2, p. 222-230 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Making the best of the worst: Care quality during emergency cesarean sections
Andersen, Betina Ristorp, Rasmussen, M. B., Christensen, Karl Bang, Engel, K. G., Ringsted, C., Løkkegaard, Ellen Christine Leth & xgz472, xgz472, 2020, In: PLoS ONE. 15, 2, 13 p., e0227988.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Social ties between team members affect patient satisfaction: a data-driven approach to handling complex network analyses
Andersen, Betina Ristorp, Hinrich, J. L., Rasmussen, M. B., Lehmann, S., Ringsted, C., Løkkegaard, Ellen Christine Leth & xgz472, xgz472, 2020, In: Advances in Health Sciences Education. 25, 4, p. 581–606 26 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 37428531
Most downloads
-
91
downloads
Making the best of the worst: Care quality during emergency cesarean sections
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
61
downloads
Reduction in maternal mortality in Denmark over three decades
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
25
downloads
Using machine learning to identify quality-of-care predictors for emergency caesarean sections: a retrospective cohort study
Research output: Contribution to journal › Journal article › Research › peer-review
Published