KEMTA offers unique expertise and extensive experience in the field of Clinical Epidemiology and Medical Technology Assessment methodology.
Clinical epidemiology focuses on the methodology used when performing human research, more specifically concerning the accuracy and reproducibility of diagnostic test results, the estimation of the effectiveness of therapies, and the estimation of prognoses.
Medical Technology Assessment (MTA), also known as Health Technology assessment (HTA), focuses on the assessment of (new) technologies in the health care system. Such assessments involve medical, economic, juridical, ethical, social, and organisational aspects. Technologies in the health care sector include screening or diagnostic methods, nurse-led or therapeutic technologies and procedures, revalidation, and also organisational changes and optimisation of health care processes.
Complementary to 'Operational Excellence' and value-based health care, the department of KEMTA can offer the methodological and scientific support to provide insight on the 'value' of technologies for patients. An essential part of MTA/HTA research focuses on health economic evaluation (cost-effectiveness analysis). An economic evaluation can be defined as a comparative analysis of technologies in terms of costs and benefits, in order to support decisions concerning the development, reimbursement, or implementation of new or existing technologies.
Over the years, the department of KEMTA has acquired expertise in the following areas:
- The design, analysis and interpretation of (randomised) human research
- Diagnostic and prognostic prediction models (in order to support personalised medicine)
- Survival and time-to-event analyses
- Imputation of incomplete datasets
- Systematic reviews and meta-analyses
- Indirect treatment comparisons
- Cost-of-illness studies
- Economic evaluations parallel to empirical (randomised) research
- Economic evaluations based on decision analytic models
- Early health technology assessment
- Patient outcome research: e.g. concerning quality of life, preferences (choice experiments), and satisfaction .
- Mixed methods and context analyses methods (e.g. in case of complex policy evaluations)
- Development and validation of patient-reported outcome measures
- Development of Core Outcome Sets for clinical trials
- Realist evaluation of health care interventions
- Qualitative research (interviews en focus groups)
- RVE Patients and Care
- CAPHRI research school