ArticleInternational journal of technology assessment in health care2024
Links between accuracy and effectiveness of laboratory medicine equipment: use of the EUnetHTA core model to compare two analyzers by measuring HbA1c.
Article in International journal of technology assessment in health care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesIn the field of Laboratory Medicine, the evolution of knowledge and the innovation of technologies are the basis of analytical and diagnostic progress, leading to the development of new solutions based on innovative technologies. However, these advances must be accompanied by evidence of appropriateness, diagnostic effectiveness, and organizational efficiency, considering the test's first impact on patient outcomes.
methodsThe Health Technology Assessment (HTA) is a valid management tool to support Laboratory Medicine professionals in assessing technologies and which is the most appropriate to adopt. This study is an illustrative case of the application of HTA, exploiting the EUnetHTA Core Model, on two analyzers able to determine the glycated hemoglobin (Hemoglobin A1c, HbA1c), the Capillarys 2 Flex piercing analyzer and the HLC-723G11 analyzer in the Laboratory Medicine Service of the IRCCS San Raffaele Hospital (Milan, IT). The main focus is related to potential differences in methods, organizational aspects, and clinical effectiveness of these approaches for measuring HbA1c.
resultsThe EUnetHTA Core Model has proven to be the optimal method for HTA in the field of Laboratory Medicine, as it allows to highlight both the peculiarities of the methods on which the analyzers are based and the clinical efficacy of the laboratory test on specific patient populations, considering individual variations in treatment responses, assessing the potential benefits for individual patients or small groups.
conclusionsThis granular analysis helps provide insights into the effectiveness and value of healthcare interventions at the patient level, contributing to evidence-based decision-making in clinical practice and healthcare policy.
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