Course Description: This course is designed to teach clinicians and new researchers how to incorporate pharmacoeconomics into study design and data analysis. Participants will learn how to collect and calculate the costs of different alternatives, determine the economic impact of clinical outcomes, and how to identify, track and assign costs to different types of health care resources used. The development of economic protocols and data collection sheets will be discussed. Different pharmacoeconomic models and techniques will be demonstrated and practiced in lectures and case studies. These include costminimization, cost-of-illness, cost-effectiveness, cost-benefit, and cost-utility analysis. Decision analysis, sensitivity analysis, and discounting, will all be demonstrated and practiced. Participants will also learn to compare and evaluate interventions such as drugs, devices and clinical services. This course is suitable for those with little or no experience with pharmacoeconomics.
 

Meta-Analysis and Systematic Literature Review
Shanghai Room 2

Nathorn Chaiyakunapruk, PharmD, PhD, Assistant Professor, Department of Pharmacy Practice, Naresuan University, Pitsanuloak, Thailand

Course Description: Course Description: Meta-analysis may be defined as the statistical analysis of data from multiple studies for the purpose of synthesizing and summarizing results, as well as for quantitatively evaluating sources of heterogeneity and bias. A systematic literature review often includes meta-analysis and involves an explicit, detailed description of how a review was conducted. This course highlights and expounds upon four key areas: 1) impetus for meta-analysis and systematic reviews; 2) basic steps to perform a quantitative systematic review; 3) statistical methods of combining data; and 4) appraisal and use of metaanalytic reports. The material is motivated via applications in pharmacoeconomics, outcomes research, and clinical studies from the published literature and hypothetical examples. Interactive exercises are part of the course. This course is designed for those with little experience with meta-analysis.

Introduction to Biostatistics in Clinical Trials
Shanghai Room 1

Isao Kamae, MD, DrPH, Professor, Graduate School of Medicin, Kobe University, Kobe, Japan

Course Description: This course provides an introduction to biostatistics and pharmacoeconomic analysis in clinical trials including the Bayesian approach. The topics will include elementary probability theory, basic concepts of statistical inference, sampling theory, hypothesis tests for randomized controlled trials, the power and sample size analysis, and introduction to the Bayesian statistics. Examples will be used to illustrate these methods in the context of costeffectiveness analysis. This course will include a discussion of the “ISPOR Good Research Practices for Cost-Effectiveness Analysis alongside Clinical Trials: The ISPOR RCT-CEA Task Force Report”. This course is to familiarize new researchers or managers interested in research with current statistical techniques so they will be able to use them both in their own research and to appreciate critically the work of others.

Introduction to Decision Analysis
Shanghai Room 3

Shu-Chuen Li PhD, MS, MBA, Associate Professor, Department of Pharmacy, National University of Singapore, Singapore

Course Description: Course Description: Decision analysis is a tool that uses an explicit, quantitative structure to describe and analyze complex health care decisions. This course will provide an introduction to the principles and practice of decision analysis. Upon completion of the course, participants will be able to evaluate the appropriateness of decision analysis in different settings, construct simple decision trees, understand the basic mechanics of tree evaluation and sensitivity analysis, and acquire skill in the interpretation of a published decision analysis. Extension of basic techniques, such as cost-effectiveness analysis and the assessment of patient preferences will be briefly discussed. Pen and paper exercises will be used to illustrate these principles. This course is suitable for those with little experience with decision analysis.
 

Course Description: Course Description: A drug formulary is a list of medications that are preferred for use by a health system. This course will describe the procedures and necessary steps in the development of a formulary, the composition and establishment of the Pharmacy & Therapeutic Committee (P&T), the preparation of drug and medical device monographs, the adoption of Pharmacoeconomics in the review process, and the population-based drug coverage decisions. These processes can be applied to both hospitals or national health plans. There will be an in-depth discussion of the evidence-based practices and policies, the enforcement of drug formulary, the roles of key health care providers & policy decision-makers and the technology assessment responsibilities of the P&T. This course will employ real life examples. This course is designed for those with little experience in developing a formulary.

Cost Analysis in Health Care
Shanghai Room 2

Syed Mohamed Aljunid PhD, MD, MSc, FAMM, Professor of Health Economics and Head of the Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur, Malaysia

Course Description: Participants will be introduced to the different types of costing data and ways to identify and obtain these data from different sources in the health care system with special focus on hospital services. Issues of obtaining timely and accurate cost data from hospitals, especially those with basic hospital information systems in developing countries, will be discussed. Role of clinicians and the use of clinical pathways to improve data accuracy will be covered in this course. Three cost analysis methods: activity-based costing, step-down costing and case-mix costing will be discussed in this course. Tools available to undertake the different cost-analysis methods will be described. The instructor will demonstrate the use of the different tools using databases available from earlier completed cost-analysis projects. In addition, data requirements, the advantages and disadvantages of different methods and issues of cost-outliers will be discussed. This introductory course is designed for participants who wish to undertake cost-analysis in their future works.

Retrospective Data Analysis
Shanghai Room 6

Jeff J. Guo BPharm, PhD, Associate Professor of Pharmacoepidemiology and Pharmacoeconomics, College of Pharmacy, and Faculty Research Fellow, Institute for Health Policy and Health Service Research, University of Cincinnati Medical Center, Cincinnati, OH, USA

Course Description:  Large administrative claims databases provide a unique opportunity to examine retrospectively the effects of drug use on clinical and economic outcomes in "real world" settings. This course will cover a discussion of the ISPOR Checklist for Retroactive Database Studies and selected topics related to sampling, bias, and analysis. This course is designed for those with little experience with database analysis.

Modeling: Structure and Design of a Model
Shanghai Room 3

Tony Hsiu-Hsi Chen, PhD, Professor, Institute of Preventive Medicine, National Taiwan University, Taipei, Taiwan

• Buses will pick up attendees in front of the Shanghai Worldfield Convention Hotel at 17:30.
• Buses will return to the Shanghai Worldfield Convention Hotel at approximately 21:30.