Artículo

Toward the Implementation of a Value Framework for Diagnostic Technologies: Operationalization, Piloting, and Validation in Latin America

Augustovski, Federico Ariel Icon; Argento, Fernando ; Alcaraz, Andrea ; García Martí, Sebastián Icon; Pichon Riviere, Andrés ; Alfie, Verónica

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Fecha

05/2024

Editorial

Elsevier

Revista

Value In Health

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ISSN

1098-3015

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Inglés

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Resumen

Objectives: In 2020, a group of 30 stakeholders from Latin America established 15 criteria for a diagnostic technologies value framework (D-VF) to help assess and inform decisions on diagnostic technologies. This article aims to present the operationalization, piloting, and initial validation of the framework for its implementation.Methods: This work was carried out collaboratively with a variety of stakeholders. Three sequential phases were undertaken: (1) operationalization of the D-VF through a literature search for conceptual definitions and assessment tools, (2) piloting of the D-VF through a rapid health technology assessment document applying the methodology of the framework, and (3) a face validation process conducted through a virtual workshop, where usefulness and implementation aspects of the framework were assessed.Results: The operationalization of the framework was conducted, and a methodological user guide was published. The D-VF criteria were applied in a health technology assessment document on human papilloma virus testing in cervical cancer screening. Also, an open-access training program was developed. Stakeholders agreed on the usefulness of the D-VF for assessment and decision-making stages of diagnostic technologies. However, they highlighted the need to improve technical capacities and the potential for added complexity when applying a D-VF with many criteria. The absence of an established value framework for diagnostic technologies in Latin America and the potential for strengthening technical capacities made the project valuable to those involved.Conclusions: The diagnostic technologies value framework was shown to be fit for implementation in real-life decision-making settings after the operationalization, piloting, and initial validation phases. Further experiences are important to support its implementation.

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