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Long-Term Cost-Effectiveness of Digital Inhaler Adherence Technologies in Difficult-to-Treat Asthma.
J Allergy Clin Immunol Pract
October 2023
Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Medication Adherence Expertise Center of the Northern Netherlands (MAECON), Groningen, The Netherlands; Department of Clinical Pharmacy & Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. Electronic address:
Background: Digital inhalers can monitor inhaler usage, support difficult-to-treat asthma management, and inform step-up treatment decisions yet their economic value is unknown, hampering wide-scale implementation.
Objective: We aimed to assess the long-term cost-effectiveness of digital inhaler-based medication adherence management in difficult-to-treat asthma.
Methods: A model-based cost-utility analysis was performed.
Development and Validation of a Discrete Event Simulation Model to Evaluate the Cardiovascular Impact of Population Policies for Obesity.
Med Decis Making
February 2022
Osakidetza Basque Health Service, Debagoiena Integrated Health Organisation, Alto Deba Hospital, Gipuzkoa Primary Care-Integrated Health Organisation Research Unit, Arrasate-Mondragón, Pais Vasco, Spain.
Introduction: Our aim was to describe the development and validation of an obesity model representing the cardiovascular risks associated with different body mass index (BMI) categories, through simulation, designed to evaluate the epidemiological and economic impact of population policies for obesity.
Methods: A discrete event simulation model was built in R considering the risk of cardiovascular events (heart failure, stroke, coronary heart disease, and diabetes) associated with BMI categories in the Spanish population. The main parameters included in the model were estimated from Spanish hospital discharge records and the Spanish Health Survey and allowed both first-order and second-order (probabilistic sensitivity analysis) uncertainty to be programmed into the model.
The Challenge of Transparency and Validation in Health Economic Decision Modelling: A View from Mount Hood.
Pharmacoeconomics
November 2019
Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Transparency in health economic decision modelling is important for engendering confidence in the models and in the reliability of model-based cost-effectiveness analyses. The Mount Hood Diabetes Challenge Network has taken a lead in promoting transparency through validation with biennial conferences in which diabetes modelling groups meet to compare simulated outcomes of pre-specified scenarios often based on the results of pivotal clinical trials. Model registration is a potential method for promoting transparency, while also reducing the duplication of effort.
View Article and Find Full Text PDFEstimating the cost-effectiveness of salt reformulation and increasing access to leisure centres in England, with PRIMEtime CE model validation using the AdViSHE tool.
BMC Health Serv Res
July 2019
Centre on Population Approaches for Non-Communicable Disease Prevention and NIHR Biomedical Research Centre at Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Background: PRIMEtime CE is a multistate life table model that can directly compare the cost effectiveness of public health interventions affecting diet and physical activity levels, helping to inform decisions about how to spend finite resources. This paper estimates the costs and health outcomes in England of two scenarios: reformulating salt and expanding subsidised access to leisure centres. The results are used to help validate PRIMEtime CE, following the steps outlined in the Assessment of the Validation Status of Health-Economic decision models (AdViSHE) tool.
View Article and Find Full Text PDFUnremarked or Unperformed? Systematic Review on Reporting of Validation Efforts of Health Economic Decision Models in Seasonal Influenza and Early Breast Cancer.
Pharmacoeconomics
September 2016
Department of Pharmacy, PharmacoTherapy, -Epidemiology and -Economics (PTEE), University of Groningen, Groningen, The Netherlands.
Background: Transparent reporting of validation efforts of health economic models give stakeholders better insight into the credibility of model outcomes. In this study we reviewed recently published studies on seasonal influenza and early breast cancer in order to gain insight into the reporting of model validation efforts in the overall health economic literature.
Methods: A literature search was performed in Pubmed and Embase to retrieve health economic modelling studies published between 2008 and 2014.
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