International Journal of Technology Assessment in Health Care · 2007 · 74 citations · 14 references
Public AffairsTechnology ManagementClinical MedicineHealth Technology AssessmentPrecision MedicineImplementation AssessmentImplementation ConsiderationsMedical Technology AssessmentStudy DesignTechnology AssessmentAdoption Of Health TechnologiesHealth Technology AdoptionMicroarray AnalysisSociotechnical Systems AnalysisTechnologies Of DiagnosisTechnology AppraisalTissue Microarray Analysis
OBJECTIVES: Technologies in health care are evolving quickly, with new findings in the area of biotechnological and genetic research being published regularly. A health technology assessment (HTA) is often used to answer the question of whether the new technology should be implemented into clinical practice. International evidence confirms that the results of HTA research sometimes have limited impact on practical implementation and on coverage decisions; the study design is commonly based on the paradigm of stability of both the technology and the environment, which is often not the case. Constructive technology assessment (CTA) was first described in the 1980s. In addition to the traditional HTA elements, this approach also takes into account the technology dynamics by emphasizing sociodynamic processes. With a CTA approach, comprehensive assessment can be combined with an intentional influence in a favorable direction to improve quality. METHODS: In this study, the methodological aspects mainly concerning the diagnostic use of CTA are explained. The methodology will be illustrated using the controlled introduction of a new technology, called microarray analysis, into the clinical practice of breast cancer treatment as a case study. Attention is paid to the operationalization of the phases of development and implementation and the research methods most appropriate for CTA. CONCLUSIONS: In addition to HTA, CTA can be used as a complementary approach, especially in technologies that are introduced in an early stage of development in a controlled way.
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Gene expression profiling predicts clinical outcome of breast cancer
Laura van ‘t Veer, Hongyue Dai, Marc J. van de Vijver et al. · Nature · 2002 · 9.6K citations · Full text
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Marc J. van de Vijver, Yudong D. He, Laura van ‘t Veer et al. · New England Journal of Medicine · 2002 · 6.5K citations · Full text
Medicine, Bioinformatics, Oncology +17