Dr Andrea Schaffer is a Senior Research Fellow in the Medicines Policy Research Unit at the Centre for Big Data Research in Health and holds an NHMRC Early Career Fellowship. She is a pharmacoepidemiologist and biostatistician with 12 years’ experience conducting population health research using routinely collected Australian health data on a variety of topics. Her current research involves using state of the art statistical methodologies to explore the impact of pharmaceutical policy on medicine utilisation, prescribing practices, and health outcomes, with a particular interest in opioids and psychotropic medicines. She is an expert in interrupted time series analysis. Some of her current and past projects include: quantifying the impact of negative media on statin use and discontinuation; investigating the impact of increased restrictions on alprazolam on prescribing patterns and poisonings; examining trajectories of antipsychotic use before and during pregnancy; identifying predictors of adherence to cardiovascular medicines; and exploring changing patterns of opioid utilisation in Australia.
2019 - UNSW Medicine Early Career Academic Network (ECAN) Best Paper Award, Clinical, Health Services or Public Health category
2019 - Best Paper by an Early Career Researcher (Highly Commended) at the 11th Health Services and Research Association of Australian and New Zealand
2017 - Rising Star Award for best abstract presented by a junior investigator at the 10th Asian Conference on Pharmacoepidemiology
2016 - MJA, MDA National Prize for Excellence in Medical Research for best clinical paper published in the Medical Journal of Australia in 2015
2015 - Stanley A. Edlavitch award for best abstract submitted by a student to the 31st International Conference on Pharmacoepidemiology
NHMRC Ideas Grant (2021-2023) - "Disentangling the interrelationship between multimordibity, multimedicine use, and cardiovascular health"
NHMRC Project Grant (2019-2021) - "Health service and medicine utilisation before suicide: optimising suicide prevention using population-based linkage of routinely collected data"
NHMRC Early Career Fellowship (2019-2022) - "Evaluating population-level medicine policy interventions: generating high-quality evidence about intended and unintended consequences"
NHMRC Post-graduate scholarship (2014-2017)