Is the Comparator in Your Diagnostic Cost-Effectiveness Model "Standard of Care"? Recommendations from Literature Reviews and Expert Interviews on How to Identify and Operationalise It.
care pathway
comparator
diagnostic economic model
diagnostic test evaluation
standard of care
Journal
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
ISSN: 1524-4733
Titre abrégé: Value Health
Pays: United States
ID NLM: 100883818
Informations de publication
Date de publication:
22 Feb 2024
22 Feb 2024
Historique:
received:
09
10
2023
revised:
08
02
2024
accepted:
14
02
2024
medline:
25
2
2024
pubmed:
25
2
2024
entrez:
24
2
2024
Statut:
aheadofprint
Résumé
This research aimed to develop best-practice recommendations for identifying the "standard of care" (SoC) and integrate it when it is the comparator in diagnostic economic models (SoC comparator). A multi-methods approach comprising two pragmatic literature reviews and nine expert interviews was used. Experts rated their agreement with draft recommendations based on the authors' analysis of the reviews. These were refined iteratively to produce final recommendations. Fourteen best-practice recommendations are provided. Care pathway mapping (using quantitative, qualitative or mixed-methods approaches) should be used for identifying the SoC comparator. Guidelines analysis can be integrated with expert opinion to identify pathway variability and discrepancies from clinical practice. For integrating the SoC comparator into the model, recommendations around structure, input sourcing, data aggregation and reporting, input uncertainty, and model variability are presented. For example, modellers should consider that the reference standard is not synonymous with the SoC and the SoC may not be the only comparator. The comparator limitations should be discussed with clinical experts, but elicitation of its diagnostic accuracy is not recommended. Probabilistic sensitivity analysis is recommended when evaluating the overall input uncertainty, and deterministic sensitivity analysis is useful when there is high model uncertainty or SoC variability. Consensus could not be reached for some topics (e.g. the role of real-world data, model averaging and alternative model structures), but the reported discussions provide points for consideration. To our knowledge this is the first guidance to support modellers when identifying and operationalising the SoC comparator in diagnostic cost-effectiveness models.
Identifiants
pubmed: 38401794
pii: S1098-3015(24)00072-X
doi: 10.1016/j.jval.2024.02.003
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2024 International Society for Pharmacoeconomics and Outcomes Research, Inc. Published by Elsevier Inc. All rights reserved.