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This is the "Health Modelling and Health Economics" page of the "Welcome to Toronto Health Economics and Technology Assessment Collaborative" guide.
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Welcome to Toronto Health Economics and Technology Assessment Collaborative  

Last Updated: Jun 23, 2017 URL: http://theta.utoronto.ca/HomePage Print Guide

Health Modelling and Health Economics Print Page
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Statistical Methods for Economic Evaluation

THETA investigators are pursuing research on the development and novel application of statistical methods for economic evaluation. These methods include, but are not limited to, regression based methods for mapping descriptive to utility instruments of Health Related Quality of Life, Bayesian methods for estimation of net cost of disease using aggregate data, analysis of censored cost data and others.

Team

Nicholas Mitsakakis, MSc, PhD

Petros Pechlivanoglou PhD

Ba' Pham, MSc, PhD

Eleanor Pullenayegum, PhD 

George Tomlinson, MSc, PhD

Andrew Willan, MSc, PhD

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Costing and Cost-Effectiveness Analysis

Primary studies of costs of health technology in the Ontario setting are increasingly important in decision-making. Cost effectiveness analysis estimates the incremental health gain for an incremental use of resources.

THETA investigators have published a variety of descriptive and evaluative costing and cost-effectiveness studies. They have particular interest in the use of administrative data (e.g., Ontario Drug Benefit Plan drug utilization data, CIHI hospitalization data, OHIP billing data) to estimate longitudinal and lifetime costs for health care in the Ontario setting.

Team

Shabbir Alibhai, MD, MSc, FRCPC

Ahmed M. Bayoumi, MD, MSc, FRCPC

Chaim Bell, MD, PhD, FRCPC

Thomas R Einarson, BScPharm, MS (Pharmacy Management), MEd, PhD, FISPE

Robert Fowler, MD, MS, FRCPC

Paul Grootendorst, PhD

Jeffrey S Hoch, MA, PhD

Murray Krahn, MD, MSc, FRCPC

Nicole Mittmann, MSc, PhD

Linda D MacKeigan, BSc, Phm, PhD

David M.J. Naimark, MD, MSc, FRCPC

George Tomlinson, MSc, PhD

Wendy Ungar, MSc, PhD

Gabrielle van der Velde, DC, PhD

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Evidence Synthesis of Economic Literature

Evidence synthesis is a key building block for health technology assessment. It involves systematically searching for high-quality, scientific evidence on efficacy, effectiveness, costs, and utilities, followed by quantitative synthesis (i.e., meta-analysis, meta-regression) of this evidence.

THETA investigators have particular interest in:

  • use of Bayesian methods to conduct evidence synthesis;
  • systematic search and review of scientific evidence;
  • data abstraction;
  • critical appraisal of evidence;
  • graphical representation of individual studies for data synthesis, and;
  • quantitative methods for combining evidence, including meta-analysis and meta-regression.

Team

Shabbir Alibhai, MD, MSc, FRCPC

Chaim Bell, MD, PhD, FRCPC

Thomas R Einarson, BScPharm, MS (Pharmacy Management), MEd, PhD, FISPE

Ba' Pham, MSc, PhD

George Tomlinson, MSc, PhD

Gabrielle van der Velde, DC, PhD

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Health Economics

Health economics research focuses on issues related to the allocation of health care resources, including: what influences health, the supply and demand of healthcare, evaluation at the treatment and system level, and mechanisms for planning, budgeting and monitoring health care.

THETA investigators have particular interest in:

  • economic evaluation (cost effectiveness evaluation); and
  • broader questions of health economics.

Team

Peter Coyte, PhD

Tony Culyer, CBE, BA, Hon DEcon, Hon FRCP, FRSA, FMedSci

Allan Detsky, MD, PhD, FRCPC

Paul Grootendorst, PhD

Jeffrey S Hoch, MA, PhD

Audrey Laporte, MA, PhD

Nicole Mittmann, MSc, PhD

Mike Paulden, MSc, MA (Cantab.), Health Economist

Wendy Ungar, MSc, PhD

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Health Policy Modelling

Health care providers and government are increasingly turning to modelling studies to inform their decisions to adopt or reimburse new drugs, procedures or programs of care. Modelling allows useful comparisons across conditions, technologies and drug therapies.

Models may be linked to primary research studies or use existing trial data. They may focus on one specific research question or be designed to answer a set of policy questions. THETA investigators use a variety of decision models including: simple decision trees, Markov models, simulation models and dynamic infectious disease models.

THETA investigators have particular interest in:

  • refining Markov modelling methods;
  • developing comprehensive health policy models; and
  • using dynamic models for infectious disease modelling.

Team

Shabbir Alibhai, MD, MSc, FRCPC

Ahmed M. Bayoumi, MD, MSc, FRCPC

Chaim Bell, MD, PhD, FRCPC

Thomas R Einarson, BScPharm, MS (Pharmacy Management), MEd, PhD, FISPE

Murray Krahn, MD, MSc, FRCPC

Nicole Mittmann, MSc, PhD

David M.J. Naimark, MD, MSc, FRCPC

Wendy Ungar, MSc, PhD

Gabrielle van der Velde, DC, PhD

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  • OUR PARTNERS
  • Leslie Dan Faculty of Pharmacy at the University of Toronto
  • Institute of Health Policy, Management and Evaluation (IHPME)
  • UHN - Toronto General Hospital
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