Kyoto University School of Public Health
http://sph.med.kyoto-u.ac.jp

Kyoto University School of Public Health (KUSPH) invites you to the FY2018 special lecture series on“The Effects of Medications – how Big Data is Revolutionising Our Understanding” byProfessor Ian Douglas, London School of Hygiene & Tropical Medicine (LSHTM).
As a pharmacoepidemiolgist, he has spent several years at the UK Medicines & Healthcare Products
Regulatory Agency and in the pharmaceutical industry investigating adverse effects of drugs, both inclinical trials and post-marketing. He is interested, in particular, how we can use large linked electronic
healthcare record databases to investigate the effects of drugs, both harmful and beneficial. He is
exploring methodologies to minimise some of the biases inherent in the research of drug effects, andhis main current areas of interest are case-only approaches to study design and how we can determine
whether routine care data can be used to estimate the intended effects of medications.

Professor Ian Douglas

This course will involve a mixture of lectures and discussion groups where participants will get chance
to apply there learning to both real and hypothetical research questions in pharmacoepidemiology.
Some sessions will also be delivered by Masao Iwagami, Assistant Professor in the Department ofHealth Services Research, University of Tsukuba, and Honorary Assistant Professor in the Electronic
Health Records Research Group, LSHTM. He is experienced in conducting medical research usinglarge databases of routinely collected data, such as UK Clinical Practice Research Datalink (CPRD),
Japanese Diagnosis Procedure Combination (DPC) Database, Tokushukai Medical Database, andMedical Data Vision (MDV) Database.
Assistant Professor
Masao IwagamiDateTime

Classroom

Topic of discussion

13:00 pm14:30 pm

Introduction to Pharmacovigilance,
Pharmacoepidemiology and Risk Management
An introduction to the disciplines of pharmacovigilance and pharmacoepidemiology. This will explain theorigins of the disciplines, how they fit together and how they are useful. We will also discuss how they fit
within the international need for formal drug risk management and minimisation.

March 20

14:45 pm16:15 pm

Using Big data to investigate the effects of medications
This session will discuss electronic health data; in general terms we will think about how they are
structured and how we can make use of this to research drug effects. A wide range of practical examples
will be cited and some insights to future uses will be explored.

March 22

10:30 am12:00 pm

March 20

All sessions @Seminar room335,
3rd floor,
G-building,March 22

March 22

13:00 pm14:30 pm

14:45 pm16:15 pm

Medicalcampus

Case study of a medication harm assessment study
In this session, Dr. Masao Iwagami (LSHTM and University of Tsukuba) will talk through the steps
involved in a published study assessing the potential harm of a medication
Advanced pharmacoepidemiology methods 1 –Propensity scores
The final two sessions will explore advanced statistical methods or study designs frequently used with
Electronic Health Records.
In the first we will discuss propensity scores – how they are calculated and used to adjust forconfounding. Examples from published literature will be presented and we will discover how they
compare with more traditional methods to adjust for confounding.
Advanced pharmacoepidemiology methods 2 –Self-controlled study designs
In this second session we will explore self-controlled study designs, specifically the self controlled caseseries and the case crossover design. The fundamentals of each design and the assumptions that need
to be met in order to apply them will be discussed. In exploring the assumptions we will consider a rangeof published examples.

Walk-ins are welcomed as well, although, we would like to know the number of participants to prepare the handouts
Please register in the link below by March 18th:
https://goo.gl/forms/1sCxgqkfQxnw4yCP2Organized by KUSPH - SGU international office, in case of queries, contact
techasrivichien.teeranee.2a[at]kyoto-u.ac.jp

Register here!