PRM144 - AN OVERVIEW OF META-MODELING METHODS TO ADDRESS RUNTIME ISSUES ASSOCIATED WITH ADVANCED ANALYSES OF HEALTH ECONOMIC MODELS

Abstract Background To support a move towards a coordinated non-communicable disease approach in public health policy, it is important to conceptualise changes to policy on tobacco and alcohol as affecting a single interlinked system. For health economic models to effectively inform policy, the first step in their development should be to develop a conceptual understanding of the system complexity that is likely to affect the outcomes of policy change. Our aim in this study was to support the development and interpretation of health economic models of the effects of changes to tobacco and alcohol policies by developing a conceptual understanding of the main components and mechanisms in the system that links policy change to outcomes. Methods Our study was based on a workshop from which we captured data on participant discussions on the joint tobacco–alcohol policy system. To inform these discussions, we prepared with a literature review and a survey of participants. Participants were academics and policy professionals who work in the United Kingdom. Data were analysed thematically to produce a description of the main components and mechanisms within the system. Results Of the people invited, 24 completed the survey (18 academic, 6 policy); 21 attended the workshop (16 academic, 5 policy). Our analysis identified eleven mechanisms through which individuals might modify the effects of a policy change, which include mechanisms that might lead to linked effects of policy change on tobacco and alcohol consumption. We identified ten mechanisms by which the tobacco and alcohol industries might modify the effects of policy changes, grouped into two categories: Reducing policy effectiveness; Enacting counter-measures. Finally, we identified eighteen research questions that indicate potential avenues for further work to understand the potential outcomes of policy change. Conclusions Model development should carefully consider the ways in which individuals and the tobacco and alcohol industries might modify the effects of policy change, and the extent to which this results in an unequal societal distribution of outcomes. Modelled evidence should then be interpreted in the light of the conceptual understanding of the system that the modelling necessarily simplifies in order to predict the outcomes of policy change.

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Assessing The Consequences Of Sustained Off-Therapy Hbsag Loss In Health Economic Models Of Chronic Hepatitis B; A Systematic Literature Review

Value in Health ◽

10.1016/j.jval.2016.09.386 ◽

2016 ◽

Vol 19 (7) ◽

pp. A413

Author(s):

M Hashim ◽

K Cerri ◽

U Sbarigia ◽

B Heeg

Keyword(s):

Health Economic ◽

Chronic Hepatitis ◽

Hepatitis B ◽

Literature Review ◽

Chronic Hepatitis B ◽

Systematic Literature Review ◽

Economic Models ◽

Hbsag Loss

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A systematic review of health economic models and utility estimation methods in schizophrenia

Expert Review of Pharmacoeconomics & Outcomes Research ◽

10.1080/14737167.2018.1430571 ◽

2018 ◽

Vol 18 (3) ◽

pp. 267-275 ◽

Cited By ~ 9

Author(s):

Bertalan Németh ◽

Ahmad Fasseeh ◽

Anett Molnár ◽

István Bitter ◽

Margit Horváth ◽

...

Keyword(s):

Systematic Review ◽

Health Economic ◽

Economic Models ◽

Estimation Methods ◽

Utility Estimation

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Evaluating Conceptual Coherence in Multi-Modeling Techniques

Information Modeling Methods and Methodologies ◽

10.4018/978-1-59140-375-3.ch003 ◽

2011 ◽

pp. 43-62

Author(s):

Bart-Jan Hommes

Keyword(s):

Quantitative Evaluation ◽

Modeling Language ◽

Modeling Languages ◽

Conceptual Coherence ◽

Meta Model ◽

Modeling Methods ◽

Methods And Techniques ◽

Modeling Techniques ◽

Meta Modeling ◽

Evaluation Of Methods

Meta-modeling is a well-known approach for capturing modeling methods and techniques. A meta-model can serve as a basis for quantitative evaluation of methods and techniques. By means of a number of formal metrics based on the meta-model, a quantitative evaluation of methods and techniques becomes possible. Existing meta-modeling languages and measurement schemes do not allow the explicit modeling of so-called multi-modeling techniques. Multi-modeling techniques are techniques that offer a coherent set of aspect modeling techniques to model different aspects of a certain phenomenon. As a consequence, existing approaches lack metrics to quantitatively assess aspects that are particular to multi-modeling techniques. In this chapter, a modeling language for modeling multi-modeling techniques is proposed as well as metrics for evaluating the coherent set of aspect modeling techniques that constitute the multi-modeling technique.

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Health Economic Models for Metastatic Colorectal Cancer: A Methodological Review

PharmacoEconomics ◽

10.1007/s40273-020-00908-4 ◽

2020 ◽

Vol 38 (7) ◽

pp. 683-713 ◽

Cited By ~ 1

Author(s):

Koen Degeling ◽

Martin Vu ◽

Hendrik Koffijberg ◽

Hui-Li Wong ◽

Miriam Koopman ◽

...

Keyword(s):

Colorectal Cancer ◽

Health Economic ◽

Metastatic Colorectal Cancer ◽

Economic Models ◽

Methodological Review

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PRM83 Comparing Methods of Mixed Treatment Comparisons in Health Economic Models

Value in Health ◽

10.1016/j.jval.2012.08.1546 ◽

2012 ◽

Vol 15 (7) ◽

pp. A475

Author(s):

P. Vemer ◽

M.J. Al ◽

M. Oppe ◽

M.P. Rutten-van Mölken

Keyword(s):

Health Economic ◽

Economic Models ◽

Mixed Treatment ◽

Treatment Comparisons ◽

Mixed Treatment Comparisons

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Microsimulation model for the health economic evaluation of osteoporosis interventions: study protocol

BMJ Open ◽

10.1136/bmjopen-2018-028365 ◽

2019 ◽

Vol 9 (2) ◽

pp. e028365

Author(s):

Lei Si ◽

John A Eisman ◽

Tania Winzenberg ◽

Kerrie M Sanders ◽

Jacqueline R Center ◽

...

Keyword(s):

Health Economic ◽

Economic Evaluation ◽

User Interface ◽

Economic Model ◽

Health Economic Evaluation ◽

Economic Models ◽

Economic Evaluations ◽

Microsimulation Model ◽

Study Results ◽

Health Economic Model

IntroductionOsteoporosis is a systemic skeletal disease that is characterised by reduced bone strength and increased fracture risk. Osteoporosis-related fractures impose enormous disease and economic burden to the society. Although many treatments and health interventions are proven effective to prevent fractures, health economic evaluation adds evidence to their economic merits. Computer simulation modelling is a useful approach to extrapolate clinical and economic outcomes from clinical trials and it is increasingly used in health economic evaluation. Many osteoporosis health economic models have been developed in the past decades; however, they are limited to academic use and there are no publicly accessible health economic models of osteoporosis.Methods and analysisWe will develop the Australian osteoporosis health economic model based on our previously published microsimulation model of osteoporosis in the Chinese population. The development of the model will follow the recommendations for the conduct of economic evaluations in osteoporosis by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases and the US branch of the International Osteoporosis Foundation. The model will be a state-transition semi-Markov model with memory. Clinical parameters in the model will be mainly obtained from the Dubbo Osteoporosis Epidemiology Study and the health economic parameters will be collected from the Australian arm of the International Costs and Utilities Related to Osteoporotic Fractures Study. Model transparency and validates will be tested using the recommendations from Good Research Practices in Modelling Task Forces. The model will be used in economic evaluations of osteoporosis interventions including pharmaceutical treatments and primary care interventions. A user-friendly graphical user interface will be developed, which will connect the user to the calculation engine and the results will be generated. The user interface will facilitate the use of our model by people in different sectors.Ethics and disseminationNo ethical approval is needed for this study. Results of the model validation and future economic evaluation studies will be submitted to journals. The user interface of the health economic model will be publicly available online accompanied with a user manual.

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