Amin M, Shukla V, Brady B; Health Technology Assessment International. Meeting (1st : 2004 : Krakow, Poland).
Proc One HTA Health Technol Assess Int Meet 1st 2004 Krakow Pol. 2004; 1: 186.
CCOHTA, Ottawa, Ontario, Canada.
HTA organizations conduct systematic reviews using valid criteria and methodology to generate the best quality evidence. Most of the systematic reviews end up without answering relevant policy questions due to unavailability of randomized controlled trials of interest. Our proposed HTA research approach is based on decision analytic modeling. There is adequate evidence supporting the use of decision models to effectively translate policy questions into model algorithms. Decision models are visual and logical; they can take into account the complexity of the HTA research issue. We propose that once a HTA topic and pertinent policy question have been identified, the HTA research process should follow a decision model building initiative. The research team should have in-house and external experts in the clinical and economics field to review and verify model algorithms. If approved, researchers should identify the data requirements and sources. Gaps in data should be identified as well. Following our approach to HTA research, HTA organizations will be able to appropriately answer both clinical and economics questions, improve research efficiency and value of HTA to decision-makers, and improve overall timeliness in producing HTA reports. Reports will properly identify where informational gaps/uncertainties are, and how that information may be generated. This will certainly help decision makers improve policymaking.
Publication Types:
Keywords:
- Clinical Trials as Topic
- Decision Making
- Decision Making, Organizational
- Decision Support Techniques
- Meta-Analysis
- Pilot Projects
- Policy Making
- Reproducibility of Results
- Research
- Research Design
- Research Support as Topic
- Uncertainty
- economics
- hsrmtgs
UI: 103140815
From Meeting Abstracts