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Economic Evaluation Methods


Estimating QALY losses associated with deaths in hospital (COVID-19) by CHIL LSHTM

This tool estimates likely QALY losses associated with premature death from COVID19, based on standard life-table methods, conditioning on age and exploring the potential effect of comorbidities. (April 2020)


Evaluating economic impacts in health emergency and disaster risk management (Clarke and Drummond, 2013)

This resource covers guidance to: (i) understand how economic evaluations and economic impact studies can support decision making in health emergency and disaster risk management (Health EDRM), (ii) present the methods available to researchers conducting these studies, and (iii) discuss research limitations, including evidence gaps and methodological challenges.

Methods for the Economic Evaluation of Health Care Programmes (Textbook by Drummond et al., 2015)

The new edition of Methods for the Economic Evaluation of Health Care Programmes equips the reader with the necessary tools and understanding required to undertake evaluations by providing an outline of key principles and a ‘tool kit’ based on the authors’ own experiences of undertaking economic evaluations.

Decision Modelling for Health Economic Evaluation (Textbook by Briggs et al.)

This is a highly practical guide that covers decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals.

Guide to Economic Analysis and Research (GEAR) Database by HITAP

The database serves as a globally acceptable platform that connects the gaps between contextual research issues and research solutions offered by different economic evaluation and health economics experts. The goals are: to develop a growing, up-to-date database of issues and solutions and to create an interactive website to allow users to access immediate solutions to methodological issues in conducting research as well as present and get input to their own research questions.

Plant-A-Tree by Saw Swee Hock School of Public Health at the National University of Singapore and HITAP)

Plant-A-Tree is an open-source Microsoft® Excel Add-In that you can use to make decision trees for use in economic evaluations or any decision problem you are facing. Compared to other decision tree makers, Plant-A-Tree supports creation of unlimited branches (nodes) and can seamlessly add or remove branches when revising the model. This is feature is particularly useful for those still conceptualizing or visualizing their decision problem and all the possible outcomes and sources of costs.

The iDSI Reference Case for Economic Evaluation by iDSI

A reference case guides the planning, conduct, and reporting of economic evaluations so that both the approach to the analysis and the presentation of the results are coherent, transparent, and consistent. The iDSI Reference Case seeks to articulate common principles for the generation of evidence, on the basis of the normative assumption that a health policy decision maker seeks information to facilitate decisions that maximize benefits, with a focus on health outcomes.

Reference Case Guidelines for Benefit-Cost Analysis in Global Health and Development by Robinson et al.

This reference case aims to clarify important concepts, aid in implementation, and provide default values for key parameters including options for standardized sensitivity analysis. This main guidelines document is intended for use by practitioners with some training and experience in conducting economic evaluations, including those who work for academic institutions, government agencies, international organizations, nongovernmental organizations, other nonprofit or for profit entities, and independently.

Recommendations for Conduct, Methodological Practices, and Reporting of Cost-effectiveness Analyses  by Second Panel on Cost-Effectiveness in Health and Medicine

The Second Panel reviewed field of cost-effectiveness analysis and developed a new set of recommendations that all cost-effectiveness analyses should follow to improve quality and comparability.