Background: Computerized clinical decision support systems are used by clinicians at the point of care to improve quality of healthcare processes (prescribing error prevention, adherence to clinical guidelines, etc.) and clinical outcomes (preventive, therapeutic, and diagnostics). Attempts to summarize results of computerized clinical decision support systems to support prescription in primary care have been challenging, and most systematic reviews and meta-analyses failed due to an extremely high degree of heterogeneity present among the included primary studies.
View Article and Find Full Text PDFMultiple Criteria Decision Analysis (MCDA) has emerged as a methodology for Health Technology Assessment (HTA). However, limited empirical evidence is available on its use by decision-makers; where available, it only comes from single-setting exercises, while cross-country comparative studies are unavailable. This study applies the Advance Value Framework (AVF), an MCDA methodology for HTA based on multi-attribute value theory, through a series of case studies with decision-makers in four countries, to explore its feasibility and compare decision-makers' value preferences and results.
View Article and Find Full Text PDFThe European network for Health Technology Assessment (EUnetHTA) is the network of public health technology assessment (HTA) agencies and entities from across the EU. In this context, the HTA Core Model, has been developed. The Andalusian Agency for Health Technology Assessment (AETSA) is a member of the Spanish HTA Network and EUnetHTA collaboration In addition, AETSA participates in the new EUnetHTA Joint Action 3 (JA, 2016-2019).
View Article and Find Full Text PDFWhat Is Known And Objective: Melanoma causes the majority of skin cancer-related deaths. The outcome of melanoma depends on its stage at diagnosis. Currently, for patients with advanced melanoma, two MEK inhibitors (trametinib and cobimetinib) have been authorized by the European Medicines Agency.
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