Dynamic Transmission Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-5

Pitman, Richard; Fisman, David N.; Zaric, Gregory S.; Postma, Maarten J.; Kretzschmar, Mirjam; Edmunds, John; Brisson, Marc

doi:10.1016/j.jval.2012.06.011

Cited by 239 publications

(255 citation statements)

References 59 publications

(84 reference statements)

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“…Modeling approach was found to be important with regard to cost-effectiveness results. Despite the recommendations of Quinn et al [13] and working groups on cost-effectiveness analyses of vaccines [40,47], only five studies used a dynamic transmission model. We found that dynamic models predicted a higher impact of QIV on influenza morbidity than static models, resulting in better cost-effectiveness outcomes.…”

Section: Expert Commentarymentioning

confidence: 99%

A systematic review of the health economic consequences of quadrivalent influenza vaccination

Boer

Maanen

Damm

et al. 2017

Expert Review of Pharmacoeconomics & Outcomes Research

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International audienceBackground: Quadrivalent influenza vaccines (QIVs) contain antigens derived from an additional influenza type B virus as compared with currently used trivalent influenza vaccines (TIVs). This should overcome a potential reduced vaccine protection due to mismatches between TIV and circulating B viruses. In this study, we systematically reviewed the available literature on health economic evaluations of switching from TIV to QIV.Areas covered: The databases of Medline and Embase were searched systematically to identify health economic evaluations of QIV versus TIV published before September 2016.A total of sixteen studies were included, thirteen cost-effectiveness analyses and three cost-comparisons.Expert commentary: Published evidence on the cost-effectiveness of QIV suggests that switching from TIV to QIV would be a valuable intervention from both the public health and economic viewpoint. However, more research seems mandatory. Our main recommendations for future research include: 1) more extensive use of dynamic models in order to estimate the full impact of QIV on influenza transmission including indirect effects, 2) improved availability of data on disease outcomes and costs related to influenza type B viruses, and 3) more research on immunogenicity of natural influenza infection and vaccination, with emphasis on cross-reactivity between different influenza B viruses and duration of protection

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Section: Expert Commentarymentioning

confidence: 99%

A systematic review of the health economic consequences of quadrivalent influenza vaccination

Boer

Maanen

Damm

et al. 2017

Expert Review of Pharmacoeconomics & Outcomes Research

Self Cite

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“…Compartmental models are another type of dynamic transmission models, which are frequently used in infectious disease modelling [38]. The compartments represent population pools, and transition between compartments is represented by differential equations [39].…”

Section: Agent-based Models Versus Compartmental Modelsmentioning

confidence: 99%

Economic Evaluations with Agent-Based Modelling: An Introduction

Chhatwal

2015

PharmacoEconomics

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Agent-based modelling (ABM) is a relatively new technique, which overcomes some of the limitations of other methods commonly used for economic evaluations. These limitations include linearity, homogeneity and stationarity. Agents in ABMs are autonomous entities, who interact with each other and with the environment. ABMs provide an inductive or 'bottom-up' approach, i.e. individual-level behaviours define system-level components. ABMs have a unique property to capture emergence phenomena that otherwise cannot be predicted by the combination of individual-level interactions. In this tutorial, we discuss the basic concepts and important features of ABMs. We present a case study of an application of a simple ABM to evaluate the cost effectiveness of screening of an infectious disease. We also provide our model, which was developed using an open-source software program, NetLogo. We discuss software, resources, challenges and future research opportunities of ABMs for economic evaluations. Key Points for Decision MakersAgent-based modelling (ABM) is more flexible than other modelling methods commonly used for economic evaluations, and can provide insights into dynamic interactions among real-world phenomena.ABMs can be more challenging to construct than other modelling methods.The need for ABMs is expected to increase as decision-making becomes more complex and as data availability increases.

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“…In particular, DES models allow explicit incorporation of resource constraints (which may result in delays if the resources are not available). It should be noted that both these techniques are being increasingly used for health technology assessment [19][20][21].…”

Section: Examples Of Resource Modelling At Individual Organisational mentioning

confidence: 99%

Resource Modelling: The Missing Piece of the HTA Jigsaw?

Thokala

Dixon

Jahn³

2014

PharmacoEconomics

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AcknowledgementsThe authors would like to acknowledge the feedback from the reviewers. There are no conflicts of interest for any of the authors. SD wrote the initial drafts for sections 1, 2 and 6. PT and BJ wrote the initial drafts for sections 3, 4 and 5. All authors contributed to the finalising the paper and revising the paper based on reviewers' comments. PT is the overall guarantor for the paper. 2 Abstract:Within health technology assessment (HTA), cost-effectiveness analysis and budget impact analyses have been broadly accepted as important components of decision making. However, whilst they address efficiency and affordability, the issue of implementation and feasibility has been largely ignored. HTA commonly takes place within a deliberative framework that captures issues of implementation and feasibility in a qualitative manner.We argue that only through a formal, quantitative assessment of resource constraints can these issues be fully addressed. This paper argues the need for resource modelling to be considered explicitly in health technology assessment (HTA). First, economic evaluation and budget impact models are described along with their limitations in evaluating feasibility. Next, resource modelling is defined and its usefulness is described along with examples of resource modelling from the literature. Then, the important issues that need to be considered when undertaking resource modelling are described before setting out recommendations for the use of resource modelling in HTA. Key Points for Decision Makers• Economic analyses typically ignore the short term constraints (e.g. beds, availability of CT scanners, nurses, etc) which might lead to low levels of uptake.• A quantitative assessment of technology diffusion, its related resource requirements and capacity constraints is required for uptake to be formally considered by decision makers • Resource modelling is especially useful if there are significant changes in the amount or type of resources needed within the pathway by implementing the new technology • Modelling techniques exist that can capture these resource implications and these analyses can be performed at a national level or at an organisational level 3

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Dynamic Transmission Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-5

Cited by 239 publications

References 59 publications

A systematic review of the health economic consequences of quadrivalent influenza vaccination

A systematic review of the health economic consequences of quadrivalent influenza vaccination

Economic Evaluations with Agent-Based Modelling: An Introduction

Resource Modelling: The Missing Piece of the HTA Jigsaw?

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