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Is the Comparator in Your Diagnostic Cost-Effectiveness Model "Standard of Care"? Recommendations from Literature Reviews and Expert Interviews on How to Identify and Operationalize It.
Graziadio, Sara; Gregg, Emily; Allen, A Joy; Neveux, Paul; Monz, Brigitta U; Davenport, Clare; Mealing, Stuart; Holmes, Hayden; Ferrante di Ruffano, Lavinia.
Afiliação
  • Graziadio S; York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK. Electronic address: sara.graziadio@york.ac.uk.
  • Gregg E; York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK.
  • Allen AJ; Health Economics, Roche Diagnostics UK and Ireland, Burgess Hill, England, UK.
  • Neveux P; Global Access & Policy, Roche Diagnostics International AG, Rotkreuz, Switzerland.
  • Monz BU; Global Access & Policy, Roche Diagnostics International AG, Rotkreuz, Switzerland.
  • Davenport C; Institute of Applied Health Research, University of Birmingham, Birmingham, England, UK.
  • Mealing S; York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK.
  • Holmes H; York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK.
  • Ferrante di Ruffano L; York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK.
Value Health ; 27(5): 585-597, 2024 May.
Article em En | MEDLINE | ID: mdl-38401794
ABSTRACT

OBJECTIVES:

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).

METHODS:

A multi-methods approach comprising 2 pragmatic literature reviews and 9 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.

RESULTS:

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, modelers 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 (eg, the role of real-world data, model averaging, and alternative model structures), but the reported discussions provide points for consideration.

CONCLUSIONS:

To our knowledge, this is the first guidance to support modelers when identifying and operationalizing the SoC comparator in diagnostic cost-effectiveness models.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Custo-Benefício / Modelos Econômicos / Padrão de Cuidado Limite: Humans Idioma: En Revista: Value Health Assunto da revista: FARMACOLOGIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Custo-Benefício / Modelos Econômicos / Padrão de Cuidado Limite: Humans Idioma: En Revista: Value Health Assunto da revista: FARMACOLOGIA Ano de publicação: 2024 Tipo de documento: Article