Guidance on the use of complex systems models for economic evaluations of public health interventions

Author:

Breeze Penny R.1ORCID,Squires Hazel1ORCID,Ennis Kate2,Meier Petra3,Hayes Kate1,Lomax Nik4,Shiell Alan5,Kee Frank6,de Vocht Frank78,O’Flaherty Martin9,Gilbert Nigel10,Purshouse Robin11,Robinson Stewart12,Dodd Peter J1,Strong Mark1,Paisley Suzy13,Smith Richard14,Briggs Andrew15ORCID,Shahab Lion16ORCID,Occhipinti Jo‐An17,Lawson Kenny17,Bayley Thomas18,Smith Robert1,Boyd Jennifer119,Kadirkamanathan Visakan11,Cookson Richard20,Hernandez‐Alava Monica1ORCID,Jackson Christopher H.21,Karapici Amanda22,Sassi Franco23,Scarborough Peter24,Siebert Uwe25262728,Silverman Eric19,Vale Luke29,Walsh Cathal30,Brennan Alan1

Affiliation:

1. School of Health and Related Research University of Sheffield Sheffield UK

2. British Medical Journal Technology Appraisal Group London UK

3. MRC/CSO Social and Public Health Sciences Unit University of Glasgow Scotland UK

4. School of Geography University of Leeds Leeds UK

5. Department of Public Health LaTrobe University Melbourne Australia

6. Centre for Public Health Queen's University Belfast Belfast UK

7. Population Health Sciences Bristol Medical School University of Bristol Bristol UK

8. NIHR Applied Research Collaboration West (ARC West) Bristol UK

9. Department of Public Health, Policy and Systems University of Liverpool Liverpool UK

10. CRESS University of Surrey Guildford UK

11. Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

12. Business School University of Newcastle Newcastle UK

13. Lumanity‐HEOR South Yorkshire Sheffield UK

14. College of Medicine and Health University of Exeter Exeter UK

15. London School of Hygiene & Tropical Medicine London UK

16. Department of Behavioural Science and Health UCL London UK

17. Brain and Mind Centre University of Sydney New South Wales Camperdown Australia

18. United Kingdom Health Security Agency Birmingham UK

19. MRC/CSO Social and Public Health Sciences Unit University of Glasgow Glasgow UK

20. Centre for Health Economics University of York Heslington UK

21. MRC Biostatistics Unit University of Cambridge Cambridge UK

22. NIHR SPHR London School of Hygiene and Tropical Medicine London UK

23. Centre for Health Economics & Policy Innovation Imperial College Business School London UK

24. Nuffield Department of Population Health University of Oxford Oxfordshire Oxford UK

25. Department of Public Health, Health Services Research and Health Technology Assessment UMIT TIROL ‐ University for Health Sciences and Technology Hall in Tirol Tyrol Austria

26. Division of Health Technology Assessment and Bioinformatics ONCOTYROL ‐ Center for Personalized Cancer Medicine Innsbruck Austria

27. Center for Health Decision Science Departments of Epidemiology and Health Policy & Management Harvard T.H. Chan School of Public Health Massachusetts Boston USA

28. Program on Cardiovascular Research, Institute for Technology Assessment and Department of Radiology Massachusetts General Hospital Harvard Medical School Massachusetts Boston USA

29. Health Economics Group Population Health Sciences Institute Newcastle University Newcastle UK

30. Health Research Institute and MACSI University of Limerick Limerick Ireland

Abstract

AbstractTo help health economic modelers 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 modeling projects using these models. A working group of experts in complex systems modeling 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. 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 modeling is needed; principles for designing a complex systems model; and how to choose an appropriate modeling technique. This paper provides a definition to identify and characterize 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.

Funder

National Institute for Health and Care Research

Publisher

Wiley

Subject

Health Policy

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