A Prototype Software Framework for Transferable Computational Health Economic Models and Its Early Application in Youth Mental Health

Matthew P. Hamilton (), Caroline Gao, Glen Wiesner, Kate M. Filia, Jana M. Menssink, Petra Plencnerova, David G. Baker, Patrick D. McGorry, Alexandra Parker, Jonathan Karnon, Sue M. Cotton and Cathrine Mihalopoulos
Additional contact information
Matthew P. Hamilton: Monash University
Caroline Gao: Monash University
Glen Wiesner: Heart Foundation
Kate M. Filia: Orygen
Jana M. Menssink: Orygen
Petra Plencnerova: Headspace National Youth Mental Health Foundation
David G. Baker: Orygen
Patrick D. McGorry: Orygen
Alexandra Parker: The University of Melbourne
Jonathan Karnon: Flinders University
Sue M. Cotton: Orygen
Cathrine Mihalopoulos: Monash University

PharmacoEconomics, 2024, vol. 42, issue 8, No 3, 833-842

Abstract: Abstract Summary: We are developing an economic model to explore multiple topics in Australian youth mental health policy. To help make that model more readily transferable to other jurisdictions, we developed a software framework for authoring modular computational health economic models (CHEMs) (the software files that implement health economic models). We specified framework user requirements for: a simple programming syntax; a template CHEM module; tools for authoring new CHEM modules; search tools for finding existing CHEM modules; tools for supplying CHEM modules with data; reproducible analysis and reporting tools; and tools to help maintain a CHEM project website. We implemented the framework as six development version code libraries in the programming language R that integrate with online services for software development and research data archiving. We used the framework to author five development version R libraries of CHEM modules focussed on utility mapping in youth mental health. These modules provide tools for variable validation, dataset description, multi-attribute instrument scoring, construction of mapping models, reporting of mapping studies and making out of sample predictions. We assessed these CHEM module libraries as mostly meeting transparency, reusability and updatability criteria that we have previously developed, but requiring more detailed documentation and unit testing of individual modules. Our software framework has potential value as a prototype for future tools to support the development of transferable CHEMs. Code: Visit https://www.ready4-dev.com for more information about how to find, install and apply the prototype software framework.

Date: 2024
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DOI: 10.1007/s40273-024-01378-8

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