The importance of model structure in the cost-effectiveness analysis of primary care interventions for the management of hypertension

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@article{9cd312375787488faa17e8e1ea48f6d1,
title = "The importance of model structure in the cost-effectiveness analysis of primary care interventions for the management of hypertension",
abstract = "Background: Management of hypertension can lead to significant reductions in blood pressure, thereby reducing the risk of cardiovascular disease (CVD). Modelling the course of CVD is not without complications, and uncertainty surrounding the structure of a model will almost always arise once a choice of a model structure is defined.Objective: To provide a practical illustration of the impact on the results of cost-effectiveness of changing or adapting model structures in a previously published cost utility analysis of a primary care intervention for the management of hypertension (TASMIN-SR). Methods: Case study assessing structural uncertainty arising from model structure and from the exclusion of secondary events. Four alternative model structures were implemented. Long-term cost-effectiveness was estimated and the results compared to those from the TASMIN-SR model.Results: The main cost-effectiveness results obtained in the TASMIN-SR study did not change with the implementation of alternative model structures. Choice of model type was limited to a cohort Markov model and, due to lack of epidemiological data, only Model 4 captured structural uncertainty arising from the exclusion of secondary events in the case study model.Conclusion: The results of this study indicate that main conclusions drawn from the TASMIN-SR model of cost-effectiveness were robust to changes in model structure and the inclusion of secondary events. Even though one of the models produced results that were different to those of TASMIN-SR, the fact that the main conclusions were identical suggests that a more parsimonious model may have sufficed. ",
keywords = "decision-analytic modelling, cardiovascular disease, hypertension, structural uncertainty, modelling",
author = "Maria-Cristina Penaloza-Ramos and Sue Jowett and Andrew Sutton and Richard McManus and Pelham Barton",
year = "2017",
month = oct,
day = "19",
doi = "10.1016/j.jval.2017.03.003",
language = "English",
journal = "Value in Health",
issn = "1098-3015",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - The importance of model structure in the cost-effectiveness analysis of primary care interventions for the management of hypertension

AU - Penaloza-Ramos, Maria-Cristina

AU - Jowett, Sue

AU - Sutton, Andrew

AU - McManus, Richard

AU - Barton, Pelham

PY - 2017/10/19

Y1 - 2017/10/19

N2 - Background: Management of hypertension can lead to significant reductions in blood pressure, thereby reducing the risk of cardiovascular disease (CVD). Modelling the course of CVD is not without complications, and uncertainty surrounding the structure of a model will almost always arise once a choice of a model structure is defined.Objective: To provide a practical illustration of the impact on the results of cost-effectiveness of changing or adapting model structures in a previously published cost utility analysis of a primary care intervention for the management of hypertension (TASMIN-SR). Methods: Case study assessing structural uncertainty arising from model structure and from the exclusion of secondary events. Four alternative model structures were implemented. Long-term cost-effectiveness was estimated and the results compared to those from the TASMIN-SR model.Results: The main cost-effectiveness results obtained in the TASMIN-SR study did not change with the implementation of alternative model structures. Choice of model type was limited to a cohort Markov model and, due to lack of epidemiological data, only Model 4 captured structural uncertainty arising from the exclusion of secondary events in the case study model.Conclusion: The results of this study indicate that main conclusions drawn from the TASMIN-SR model of cost-effectiveness were robust to changes in model structure and the inclusion of secondary events. Even though one of the models produced results that were different to those of TASMIN-SR, the fact that the main conclusions were identical suggests that a more parsimonious model may have sufficed.

AB - Background: Management of hypertension can lead to significant reductions in blood pressure, thereby reducing the risk of cardiovascular disease (CVD). Modelling the course of CVD is not without complications, and uncertainty surrounding the structure of a model will almost always arise once a choice of a model structure is defined.Objective: To provide a practical illustration of the impact on the results of cost-effectiveness of changing or adapting model structures in a previously published cost utility analysis of a primary care intervention for the management of hypertension (TASMIN-SR). Methods: Case study assessing structural uncertainty arising from model structure and from the exclusion of secondary events. Four alternative model structures were implemented. Long-term cost-effectiveness was estimated and the results compared to those from the TASMIN-SR model.Results: The main cost-effectiveness results obtained in the TASMIN-SR study did not change with the implementation of alternative model structures. Choice of model type was limited to a cohort Markov model and, due to lack of epidemiological data, only Model 4 captured structural uncertainty arising from the exclusion of secondary events in the case study model.Conclusion: The results of this study indicate that main conclusions drawn from the TASMIN-SR model of cost-effectiveness were robust to changes in model structure and the inclusion of secondary events. Even though one of the models produced results that were different to those of TASMIN-SR, the fact that the main conclusions were identical suggests that a more parsimonious model may have sufficed.

KW - decision-analytic modelling

KW - cardiovascular disease

KW - hypertension

KW - structural uncertainty

KW - modelling

U2 - 10.1016/j.jval.2017.03.003

DO - 10.1016/j.jval.2017.03.003

M3 - Article

JO - Value in Health

JF - Value in Health

SN - 1098-3015

ER -