Guidance on the Use of Complex Systems Models for Economic Evaluations of Public Health Interventions

Richard Andrew Cookson; Alan Brennan; Hazel Y Squires; Jennifer Boyd; Thomas Bayley; Robert A Smith; Richard  Smith; Peter Scarborough; Peter Dodd; Petra Meier; Eric Silverman; Lion  Shahab; Martin O'Flaherty; Uwe Siebert; Monica Hernandez Alava; Mark Strong; Kate Hayes; Kenny Lawson; Frank Kee; Nik Lomax; Alan Shiell; Frank de Vocht; N Gilbert; Robin Jackson; Amanda Karapici; Franco Sassi; Luke Vale; Cathal  Walsh; Stewart Robinson

Guidance on the Use of Complex Systems Models for Economic Evaluations of Public Health Interventions

Richard Andrew Cookson, Alan Brennan, Hazel Y Squires, Jennifer Boyd, Thomas Bayley, Robert A Smith, Richard Smith, Peter Scarborough, Peter Dodd, Petra Meier, Eric Silverman, Lion Shahab, Martin O'Flaherty, Uwe Siebert, Monica Hernandez Alava, Mark Strong, Kate Hayes, Kenny Lawson, Frank Kee, Nik LomaxAlan Shiell, Frank de Vocht, N Gilbert, Robin Jackson, Amanda Karapici, Franco Sassi, Luke Vale, Cathal Walsh, Stewart Robinson

Centre for Health Economics

Research output: Contribution to conference › Paper › peer-review

Abstract

Objectives: To help health economic modellers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modelling projects using these models.
Methods: A working group of experts in complex systems modelling and economic evaluation was brought together to develop and jointly write guidance for the use of complex systems models for health economic analysis. The content of workshops was informed by a scoping review.
Results: A public health complex systems model for economic evaluation is defined as a quantitative, dynamic, non-linear model that incorporates feedback and interactions among model elements, in order to capture emergent outcomes and estimate health, economic and potentially other consequences to inform public policies. The guidance covers: when complex systems modelling is needed; principles for designing a complex systems model; and how to choose an appropriate modelling technique.
Conclusions: This paper provides a definition to identify and characterise complex systems models for economic evaluations and proposes guidance on key aspects of the process for health economics analysis. This document will support the development of complex systems models, with impact on public health systems policy and decision making.

Original language	English
Publication status	Accepted/In press - 19 Mar 2023

Access to Document

https://docs.google.com/document/d/1l-plj5cJQizFgtpfdooraicYts-F9uaE/edit?usp=share_link&ouid=115023584950890588274&rtpof=true&sd=true

Cite this

Cookson, R. A., Brennan, A., Squires, H. Y., Boyd, J., Bayley, T., Smith, R. A., Smith, R., Scarborough, P., Dodd, P., Meier, P., Silverman, E., Shahab, L., O'Flaherty, M., Siebert, U., Hernandez Alava, M., Strong, M., Hayes, K., Lawson, K., Kee, F., ... Robinson, S. (Accepted/In press). Guidance on the Use of Complex Systems Models for Economic Evaluations of Public Health Interventions. https://docs.google.com/document/d/1l-plj5cJQizFgtpfdooraicYts-F9uaE/edit?usp=share_link&ouid=115023584950890588274&rtpof=true&sd=true

@conference{dd6da25622ee41ae99de96a9dd24e5bc,

title = "Guidance on the Use of Complex Systems Models for Economic Evaluations of Public Health Interventions",

abstract = "Objectives: To help health economic modellers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modelling projects using these models. Methods: A working group of experts in complex systems modelling and economic evaluation was brought together to develop and jointly write guidance for the use of complex systems models for health economic analysis. The content of workshops was informed by a scoping review. Results: A public health complex systems model for economic evaluation is defined as a quantitative, dynamic, non-linear model that incorporates feedback and interactions among model elements, in order to capture emergent outcomes and estimate health, economic and potentially other consequences to inform public policies. The guidance covers: when complex systems modelling is needed; principles for designing a complex systems model; and how to choose an appropriate modelling technique.Conclusions: This paper provides a definition to identify and characterise complex systems models for economic evaluations and proposes guidance on key aspects of the process for health economics analysis. This document will support the development of complex systems models, with impact on public health systems policy and decision making.",

author = "Cookson, {Richard Andrew} and Alan Brennan and Squires, {Hazel Y} and Jennifer Boyd and Thomas Bayley and Smith, {Robert A} and Richard Smith and Peter Scarborough and Peter Dodd and Petra Meier and Eric Silverman and Lion Shahab and Martin O'Flaherty and Uwe Siebert and {Hernandez Alava}, Monica and Mark Strong and Kate Hayes and Kenny Lawson and Frank Kee and Nik Lomax and Alan Shiell and {de Vocht}, Frank and N Gilbert and Robin Jackson and Amanda Karapici and Franco Sassi and Luke Vale and Cathal Walsh and Stewart Robinson",

year = "2023",

month = mar,

day = "19",

language = "English",

}

Cookson, RA, Brennan, A, Squires, HY, Boyd, J, Bayley, T, Smith, RA, Smith, R, Scarborough, P, Dodd, P, Meier, P, Silverman, E, Shahab, L, O'Flaherty, M, Siebert, U, Hernandez Alava, M, Strong, M, Hayes, K, Lawson, K, Kee, F, Lomax, N, Shiell, A, de Vocht, F, Gilbert, N, Jackson, R, Karapici, A, Sassi, F, Vale, L, Walsh, C & Robinson, S 2023, 'Guidance on the Use of Complex Systems Models for Economic Evaluations of Public Health Interventions'. <https://docs.google.com/document/d/1l-plj5cJQizFgtpfdooraicYts-F9uaE/edit?usp=share_link&ouid=115023584950890588274&rtpof=true&sd=true>

TY - CONF

T1 - Guidance on the Use of Complex Systems Models for Economic Evaluations of Public Health Interventions

AU - Cookson, Richard Andrew

AU - Brennan, Alan

AU - Squires, Hazel Y

AU - Boyd, Jennifer

AU - Bayley, Thomas

AU - Smith, Robert A

AU - Smith, Richard

AU - Scarborough, Peter

AU - Dodd, Peter

AU - Meier, Petra

AU - Silverman, Eric

AU - Shahab, Lion

AU - O'Flaherty, Martin

AU - Siebert, Uwe

AU - Hernandez Alava, Monica

AU - Strong, Mark

AU - Hayes, Kate

AU - Lawson, Kenny

AU - Kee, Frank

AU - Lomax, Nik

AU - Shiell, Alan

AU - de Vocht, Frank

AU - Gilbert, N

AU - Jackson, Robin

AU - Karapici, Amanda

AU - Sassi, Franco

AU - Vale, Luke

AU - Walsh, Cathal

AU - Robinson, Stewart

PY - 2023/3/19

Y1 - 2023/3/19

N2 - Objectives: To help health economic modellers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modelling projects using these models. Methods: A working group of experts in complex systems modelling and economic evaluation was brought together to develop and jointly write guidance for the use of complex systems models for health economic analysis. The content of workshops was informed by a scoping review. Results: A public health complex systems model for economic evaluation is defined as a quantitative, dynamic, non-linear model that incorporates feedback and interactions among model elements, in order to capture emergent outcomes and estimate health, economic and potentially other consequences to inform public policies. The guidance covers: when complex systems modelling is needed; principles for designing a complex systems model; and how to choose an appropriate modelling technique.Conclusions: This paper provides a definition to identify and characterise complex systems models for economic evaluations and proposes guidance on key aspects of the process for health economics analysis. This document will support the development of complex systems models, with impact on public health systems policy and decision making.

AB - Objectives: To help health economic modellers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modelling projects using these models. Methods: A working group of experts in complex systems modelling and economic evaluation was brought together to develop and jointly write guidance for the use of complex systems models for health economic analysis. The content of workshops was informed by a scoping review. Results: A public health complex systems model for economic evaluation is defined as a quantitative, dynamic, non-linear model that incorporates feedback and interactions among model elements, in order to capture emergent outcomes and estimate health, economic and potentially other consequences to inform public policies. The guidance covers: when complex systems modelling is needed; principles for designing a complex systems model; and how to choose an appropriate modelling technique.Conclusions: This paper provides a definition to identify and characterise complex systems models for economic evaluations and proposes guidance on key aspects of the process for health economics analysis. This document will support the development of complex systems models, with impact on public health systems policy and decision making.

M3 - Paper

ER -