Choosing an epidemiological model structure for the economic evaluation of non-communicable disease public health interventions

Population Health Metrics

Review

Adam D. M. Briggs¹  Peter Scarborough¹  Jane Wolstenholme²  Tony Blakely³ 

[1] BHF Centre on Population Approaches for Non-Communicable Disease Prevention (BHF CPNP), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, OX3 7LF, Oxford, UK;Health Economics Research Centre (HERC), Nuffield Department of Population Health, University of Oxford, Oxford, UK;Health Inequalities Research Programme (HIRP), Department of Public Health, University of Otago, Wellington, New Zealand;

关键词: Modeling;    Cost-effectiveness;    Non-communicable disease;    Economics;    Public health;   

DOI  :  10.1186/s12963-016-0085-1

 received in 2015-07-01, accepted in 2016-04-20,  发布年份 2016

来源: Springer

【 摘 要 】

Non-communicable diseases are the leading global causes of mortality and morbidity. Growing pressures on health services and on social care have led to increasing calls for a greater emphasis to be placed on prevention. In order for decisionmakers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of each prevention option available. This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Through a novel discussion of the pros and cons of model structures and examples of their application to public health interventions, it suggests that individual-level models may be better than population-level models for estimating the effects of population heterogeneity. Furthermore, model structures allowing for interactions between populations, their environment, and time are often better suited to complex multifaceted interventions. Other influences on the choice of model structure include time and available resources, and the availability and relevance of previously developed models. This review will help guide modelers in the emerging field of public health economic modeling of non-communicable diseases.

【 授权许可】

CC BY   
© Briggs et al. 2016