Chair in Obstetrics & Gynaecology
- About
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Biography
Ben (Willem) Mol joined the Aberdeen Centre for Women's Health Research in 2020 in a part-time position next to his position as professor of O&G at Monash University, Melbourne, Australia. Professor Mol continues to work towards the development of large collaborative networks internationally: he has strong working relationships in The Netherlands, Europe and the United Kingdom, across Australia and New Zealand, as well as the United States, Canada, China, Viet Nam, South Africa, and Brazil. He (re)-demonstrated the effectiveness of cervical pessary to prevent preterm birth, balloon for induction of labour and tubal flushing for infertility.
Working in The Netherlands until 2013, he was instrumental in setting up the Dutch research consortium in Women's health. He was recognized in Nature as one of the 100 most proliferative authors in Medicine and in his specialty . His professional adagium is “A Day without Randomisation is a Day without Progress”.
Qualifications
- PhD Medicine1999 - University of AmsterdamWith honours
- MD Medicine1993 - University of Amsterdam
- BSc Economics1991 - University of Amsterdam
- FRANCOG Obstetrics and Gynaecology2017 - RANZCOG
External Memberships
Professor at Monash University
Member of Dutch Society for Obstetrics and Gynaecology
Member of Royal Australian New Zealand College of Obstetrics and Gynaecology
Member of ESHRE, SMFM, Soc. Clinical Trials, ACTA
Editor of Human Reproduction Open
Latest Publications
Applying a simplified economic evaluation approach to evaluate infertility treatments in clinical practice
Human reproduction (Oxford, England), vol. 39, no. 3, pp. 448–453Contributions to Journals: ArticlesIVF versus IUI with ovarian stimulation for unexplained infertility: a collaborative individual participant data meta-analysis
Human Reproduction Update, vol. 30, no. 2, pp. 174-185Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1093/humupd/dmad033
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/23025/1/Lai_etal_HRU_IVF_Versus_IUI_VOR.pdf
- [ONLINE] View publication in Scopus
Statistical significance and publication reporting bias in abstracts of reproductive medicine studies
Human reproduction (Oxford, England), vol. 39, no. 3, pp. 548-558Contributions to Journals: ArticlesConsiderations on implementation of the newest treatment for symptomatic uterine fibroids: oral GnRH antagonists
British Journal of Clinical Pharmacology, vol. 90, no. 2, pp. 392-404Contributions to Journals: Review articlesEffect of small follicles on clinical pregnancy and multiple pregnancy rates in intrauterine insemination: a cohort study
Human reproduction (Oxford, England), vol. 39, no. 2, pp. 335-345Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1093/humrep/dead259
- [ONLINE] View publication in Scopus
Prizes and Awards
Jan Swammerdam Prize 2001 for best PhD thesis The Netherlands
ZonMW Pearl 2013 for outstanding contribution to Research
NHMRC Research Excellence Award 2014 Top Ranked Practitioner Fellow
Alexandre Yersin Prize for Outstanding Medical Publications in Viet Nam (2019 and 2020)
- Research
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Research Overview
Much medical practice around the world is conducted without evidence that interventions are beneficial to the patient and will not cause harm. Professor Ben Mol aims to develop evidence on the effectiveness of all medical interventions in this area, preferably through large collaborations in randomised clinical trials, to provide insight on the available evidence tailored to the individual patient for both patients and doctors. To achieve this, international collaboration through coordination of research agendas for clinical and basic research, and the establishment of guidelines is essential. The group aims to involve young people, create large datasets and initiate international collaboration.
Research Areas
Biomedical Sciences
Research Specialisms
- Obstetrics and Gynaecology
- Epidemiology
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.