Systematic learning from pooling available cost-effectiveness analysis (CEA) is undermined by the low quality and availability of costing data across studies (Brown and Tanner 2019).
On this page, you will find research, tools and guidance to improve the quality and availability of costing data, and cost-effectiveness evidence, across studies.
Please reach out to Liz Brown (lizbrown@berkeley.edu) with any questions or suggestions.
Resources
A New Public Tool for Planning Cost-Effectiveness Research
Rigorous research on cost is needed to generate reliable and transparent estimates of cost-effectiveness — but it may be useful to plan a high quality cost study prospectively.
A Costing Pre-analysis Plan Template
CEGA Program Scientist Elizabeth Brown launched a new Costing Pre-analysis Planning template to foster collaboration between cost and impact evaluation research. This work was developed by CEGA’s Cost Transparency Initiative and we welcome your feedback.
A Final Cost Reporting Table [TBD]
A clear Costing PAP serves as an ideal pipeline to the consistent reporting of cost data across studies. We provide a simple template for final cost reporting which allows teams to move from the Costing PAP to cost reporting in as simple and transparent a manner as possible. This work was developed by Craig McIntosh and Elizabeth Brown and we welcome your feedback.
Four New Ideas for Systematic Cost Effectiveness Analysis: AEA P&P paper draft [TBA]
Abstract
Systematic learning from pooling available cost-effectiveness analysis (CEA) is undermined by the low quality and availability of costing data across studies. We present four new ideas for improvement:
- costing pre-analysis plans and reporting templates
- defining the costing perspective and reporting the information needed to modify cost calculations
- calculating a cost estimate that reflects the specific impact estimand used in a study
- 4) reporting costs for RCTs regardless of the statistical significance of outcomes.
Adoption of these practices can further the goal of allowing evidence-based policymakers to identify the policies that generate greatest benefit at lowest cost.
