Identification and expert panel rating of key structural approaches applied in health economic obesity models
| Autor: | Mickaël Hiligsmann, B Schwander, Philippe Van Wilder, Mark Nuijten, Maarten J. Postma, Marije Oosterhoff, Emma Frew, Manuela A. Joore, Silvia M. A. A. Evers, Michelle Queally, Reiner Leidl |
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| Přispěvatelé: | Health Services Research, RS: CAPHRI - R2 - Creating Value-Based Health Care, MUMC+: KIO Kemta (9), RS: CAPHRI - R5 - Optimising Patient Care, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Operations research
Computer science Biomedical Engineering Microsimulation Time horizon Clinical events DISCRETE-EVENT SIMULATION 03 medical and health sciences Consistency (database systems) 0302 clinical medicine Model structure 030212 general & internal medicine Obesity Discrete event simulation Expert panel OVERWEIGHT Event (computing) 030503 health policy & services Health Policy CARE Identification (information) Risk Estimate Decision models 0305 other medical science Decision model Health economic assessment |
| Zdroj: | Health Policy and Technology, 9(3), 314-322. Fellowship of Postgraduate Medicine Health policy and technology, 9(3), 314-322. ELSEVIER SCI LTD |
| ISSN: | 2211-8837 |
| Popis: | Objectives: This study aims to assess the key structural modelling approaches applied in published obesity models, and to provide an expert consensus to improve the methodology and consistency of the application of decision-analytic modelling in obesity research.Methods: Using a previously published systematic literature search as basis, ten individual interviews, and a face-to-face expert panel meeting were conducted. Within the expert panel meeting, the interview findings were presented and discussed, rated and where possible consensus statements were obtained. In particular, five topics of interest were assessed: time horizon, model type, obesity-related clinical events simulated, event simulation approaches and external event validation.Results: In addition to generic modelling standards, several obesity-specific recommendations were generated: Simulating a lifetime horizon was regarded as optimal (100% agreement); Ideally, both short and long-term results should be presented (100%); Using a risk equation approach for simulating the clinical events was the most preferred approach (60%) followed by applying a body mass index (BMI) related relative risk to a base risk estimate (30%); Continuous BMI approaches were preferred (100%); An individual patient/microsimulation state transition model was regarded as preferred modelling approach (90%); Discrete event simulation (DES) was regarded as the most flexible approach for building an obesity model but it was recognised as complex, and more difficult to build, populate and to disseminate; Performing an external validation was rated as important (100%).Conclusions: The obtained insights, discussion and consensus can provide valuable information for developing decision-analytic models to generate high-quality and transparent economic evidence for obesity interventions. (C) 2020 Fellowship of Postgraduate Medicine. Published by Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
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